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Harry Qin
Person information
- affiliation: Hong Kong Polytechnic University, School of Nursing, Centre for Smart Health, Hong Kong
- affiliation (former): Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, China
- affiliation (former): National University of Singapore, Department of Diagnostic Radiology, Singapore
- affiliation (PhD 2009): Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
Other persons with the same name
- Jing Qin — disambiguation page
- Jing Qin 0002 — Shandong University, School of Mathematics, Jinan, China
- Jing Qin 0003 — University of Kentucky, Department of Mathematics, Lexington, KY, USA (and 3 more)
- Jing Qin 0004 — Chinese University of Hong Kong, School of Life Sciences, Hong Kong (and 1 more)
- Jing Qin 0005 — Northeastern University, School of Computer Science and Engineering, Shenyang, China
- Jing Qin 0006 — University of Southern Denmark, Department of Mathematics and Computer Science, Odense, Denmark (and 2 more)
- Jing Qin 0007 — Dalian University, School of Software Engineering, Dalian, China
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2020 – today
- 2025
- [j216]Wenlong Hang, Kui Bai, Shuang Liang, Qingfeng Zhang, Qiang Wu, Yukun Jin, Qiong Wang, Jing Qin:
Reliable semi-supervised mutual learning framework for medical image segmentation. Biomed. Signal Process. Control. 99: 106798 (2025) - [j215]Wenlong Hang, Peng Dai, Chengao Pan, Shuang Liang, Qingfeng Zhang, Qiang Wu, Yukun Jin, Qiong Wang, Jing Qin:
Pseudo-label guided selective mutual learning for semi-supervised 3D medical image segmentation. Biomed. Signal Process. Control. 100: 107144 (2025) - 2024
- [j214]Xiaoke Hao, Jiawang Li, Mingming Ma, Jing Qin, Daoqiang Zhang, Feng Liu:
Hypergraph convolutional network for longitudinal data analysis in Alzheimer's disease. Comput. Biol. Medicine 168: 107765 (2024) - [j213]Jing Zou, Youyi Song, Lihao Liu, Angelica I. Avilés-Rivero, Jing Qin:
Unsupervised lung CT image registration via stochastic decomposition of deformation fields. Comput. Medical Imaging Graph. 115: 102397 (2024) - [j212]Haoneng Lin, Jing Zou, Kang Wang, Yidan Feng, Cheng Xu, Jun Lyu, Jing Qin:
Dual-space high-frequency learning for transformer-based MRI super-resolution. Comput. Methods Programs Biomed. 250: 108165 (2024) - [j211]Pan Huang, Chentao Li, Peng He, Hualiang Xiao, Yifang Ping, Peng Feng, Sukun Tian, Hu Chen, Francesco Mercaldo, Antonella Santone, Hui-yuan Yeh, Jing Qin:
MamlFormer: Priori-experience guiding transformer network via manifold adversarial multi-modal learning for laryngeal histopathological grading. Inf. Fusion 108: 102333 (2024) - [j210]Lei Xing, Badong Chen, Changyuan Yu, Jing Qin:
Robust tensor ring-based graph completion for incomplete multi-view clustering. Inf. Fusion 111: 102501 (2024) - [j209]Youyi Song, Jing Zou, Kup-Sze Choi, Baiying Lei, Jing Qin:
Cell classification with worse-case boosting for intelligent cervical cancer screening. Medical Image Anal. 91: 103014 (2024) - [j208]Jun Lyu, Shuo Wang, Yapeng Tian, Jing Zou, Shunjie Dong, Chengyan Wang, Angelica I. Avilés-Rivero, Jing Qin:
STADNet: Spatial-Temporal Attention-Guided Dual-Path Network for cardiac cine MRI super-resolution. Medical Image Anal. 94: 103142 (2024) - [j207]Baiying Lei, Yafeng Li, Wanyi Fu, Peng Yang, Shaobin Chen, Tianfu Wang, Xiaohua Xiao, Tianye Niu, Yu Fu, Shuqiang Wang, Hongbin Han, Jing Qin:
Alzheimer's disease diagnosis from multi-modal data via feature inductive learning and dual multilevel graph neural network. Medical Image Anal. 97: 103213 (2024) - [j206]Jiajun Liang, Huijuan Pan, Zhuo Xiang, Jing Qin, Yali Qiu, Libao Guo, Tianfu Wang, Wei Jiang, Baiying Lei:
Echocardiographic segmentation based on semi-supervised deep learning with attention mechanism. Multim. Tools Appl. 83(12): 36953-36973 (2024) - [j205]Zeyong Wei, Honghua Chen, Liangliang Nan, Jun Wang, Jing Qin, Mingqiang Wei:
PathNet: Path-Selective Point Cloud Denoising. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4426-4442 (2024) - [j204]Yazhou Zhang, Yang Yu, Dongming Zhao, Zuhe Li, Bo Wang, Yuexian Hou, Prayag Tiwari, Jing Qin:
Learning Multitask Commonness and Uniqueness for Multimodal Sarcasm Detection and Sentiment Analysis in Conversation. IEEE Trans. Artif. Intell. 5(3): 1349-1361 (2024) - [j203]Huisi Wu, Baiming Zhang, Junquan Pan, Jing Qin:
Multi-Level Object-Aware Guidance Network for Biomedical Image Segmentation. IEEE Trans Autom. Sci. Eng. 21(3): 2440-2453 (2024) - [j202]Huisi Wu, Baiming Zhang, Zhuoying Li, Jing Qin, Tong-Yee Lee:
3DSN-Net: A 3-D Scale-Aware convNet With Nonlocal Context Guidance for Kidney and Tumor Segmentation From CT Volumes. IEEE Trans. Cybern. 54(5): 3299-3312 (2024) - [j201]Xiaoke Hao, Jingyi Wang, Zilong He, Yingchun Guo, Ming Yu, Feng Liu, Jing Qin, Daoqiang Zhang:
Multi-Cluster Self-Paced Diverse Learning and Feature Fusion for Autism Spectrum Disorder Identification With Resting-State fMRI. IEEE Trans. Emerg. Top. Comput. Intell. 8(6): 3860-3873 (2024) - [j200]Haoxin Yang, Xuemiao Xu, Cheng Xu, Huaidong Zhang, Jing Qin, Yi Wang, Pheng-Ann Heng, Shengfeng He:
G²Face: High-Fidelity Reversible Face Anonymization via Generative and Geometric Priors. IEEE Trans. Inf. Forensics Secur. 19: 8773-8785 (2024) - [j199]Weimin Lyu, Weihao Yuan, Jianxun Yu, Qing Wang, Shuyang Chen, Jing Qin, Changyuan Yu:
Non-Contact Short-Term Heart Rate Variability Analysis Under Paced Respiration Based on a Robust Fiber Optic Sensor System. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [j198]Huisi Wu, Jiahao Li, Jing Qin:
Pseudosupervision With Contrast-Separation Awareness in Endoscopy Image Segmentation. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [j197]Jian Zhu, Ganxi Xu, Qintai Hu, Boyu Wang, Teng Zhou, Jing Qin:
Dual Contrastive Training and Transferability-Aware Adaptation for Multisource Privacy-Preserving Motor Imagery Classification. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [j196]Yongzhen Wang, Xuefeng Yan, Fu Lee Wang, Haoran Xie, Wenhan Yang, Xiaoping Zhang, Jing Qin, Mingqiang Wei:
UCL-Dehaze: Toward Real-World Image Dehazing via Unsupervised Contrastive Learning. IEEE Trans. Image Process. 33: 1361-1374 (2024) - [j195]Huaqi Zhang, Jie Liu, Weifan Liu, Huang Chen, Zekuan Yu, Yixuan Yuan, Pengyu Wang, Jing Qin:
MHD-Net: Memory-Aware Hetero-Modal Distillation Network for Thymic Epithelial Tumor Typing With Missing Pathology Modality. IEEE J. Biomed. Health Informatics 28(5): 3003-3014 (2024) - [j194]Pan Huang, Hualiang Xiao, Peng He, Chentao Li, Xiaodong Guo, Sukun Tian, Peng Feng, Hu Chen, Yuchun Sun, Francesco Mercaldo, Antonella Santone, Jing Qin:
LA-ViT: A Network With Transformers Constrained by Learned-Parameter-Free Attention for Interpretable Grading in a New Laryngeal Histopathology Image Dataset. IEEE J. Biomed. Health Informatics 28(6): 3557-3570 (2024) - [j193]Luyang Luo, Daguang Xu, Jing Qin, Yueming Jin, Hao Chen:
Guest Editorial: Trustworthy Machine Learning for Health Informatics. IEEE J. Biomed. Health Informatics 28(11): 6370-6372 (2024) - [j192]Qing Wang, Xinghong Chen, Weiping Liu, Guannan Chen, Harry Qin:
SFWN: A Novel Semi-Supervised Feature Weighted Neural Network for Gene Data Feature Learning and Mining With Graph Modeling. IEEE J. Biomed. Health Informatics 28(11): 6405-6416 (2024) - [j191]Huisi Wu, Baiming Zhang, Cheng Chen, Jing Qin:
Federated Semi-Supervised Medical Image Segmentation via Prototype-Based Pseudo-Labeling and Contrastive Learning. IEEE Trans. Medical Imaging 43(2): 649-661 (2024) - [j190]Pengyu Wang, Huaqi Zhang, Meilu Zhu, Xi Jiang, Jing Qin, Yixuan Yuan:
MGIML: Cancer Grading With Incomplete Radiology-Pathology Data via Memory Learning and Gradient Homogenization. IEEE Trans. Medical Imaging 43(6): 2113-2124 (2024) - [j189]Kang Wang, Feiyang Zheng, Lan Cheng, Hong-Ning Dai, Qi Dou, Jing Qin:
Breast Cancer Classification From Digital Pathology Images via Connectivity-Aware Graph Transformer. IEEE Trans. Medical Imaging 43(8): 2854-2865 (2024) - [j188]Zifeng Qiu, Peng Yang, Chunlun Xiao, Shuqiang Wang, Xiaohua Xiao, Jing Qin, Chuan-Ming Liu, Tianfu Wang, Baiying Lei:
3D Multimodal Fusion Network With Disease-Induced Joint Learning for Early Alzheimer's Disease Diagnosis. IEEE Trans. Medical Imaging 43(9): 3161-3175 (2024) - [j187]Hongqiu Wang, Guang Yang, Shichen Zhang, Jing Qin, Yike Guo, Bo Xu, Yueming Jin, Lei Zhu:
Video-Instrument Synergistic Network for Referring Video Instrument Segmentation in Robotic Surgery. IEEE Trans. Medical Imaging 43(12): 4457-4469 (2024) - [j186]Lei Xing, Yawen Song, Badong Chen, Changyuan Yu, Jing Qin:
Incomplete Multi-View Clustering via Correntropy and Complement Consensus Learning. IEEE Trans. Multim. 26: 8063-8076 (2024) - [j185]Shuang Liang, Wenlong Hang, Baiying Lei, Jun Wang, Jing Qin, Kup-Sze Choi, Yu Zhang:
Adaptive Multimodel Knowledge Transfer Matrix Machine for EEG Classification. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7726-7739 (2024) - [j184]Youyi Song, Jeremy Yuen-Chun Teoh, Kup-Sze Choi, Jing Qin:
Dynamic Loss Weighting for Multiorgan Segmentation in Medical Images. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10651-10662 (2024) - [j183]Jun Lyu, Guangyuan Li, Chengyan Wang, Qing Cai, Qi Dou, David Zhang, Jing Qin:
Multicontrast MRI Super-Resolution via Transformer-Empowered Multiscale Contextual Matching and Aggregation. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12004-12014 (2024) - [j182]Yazhou Zhang, Ao Jia, Bo Wang, Peng Zhang, Dongming Zhao, Pu Li, Yuexian Hou, Xiaojia Jin, Dawei Song, Jing Qin:
M3GAT: A Multi-modal, Multi-task Interactive Graph Attention Network for Conversational Sentiment Analysis and Emotion Recognition. ACM Trans. Inf. Syst. 42(1): 13:1-13:32 (2024) - [j181]Baian Chen, Zhilei Chen, Xiaowei Hu, Jun Xu, Haoran Xie, Jing Qin, Mingqiang Wei:
Dynamic Message Propagation Network for RGB-D and Video Salient Object Detection. ACM Trans. Multim. Comput. Commun. Appl. 20(1): 18:1-18:21 (2024) - [j180]Zhe Zhu, Liangliang Nan, Haoran Xie, Honghua Chen, Jun Wang, Mingqiang Wei, Jing Qin:
CSDN: Cross-Modal Shape-Transfer Dual-Refinement Network for Point Cloud Completion. IEEE Trans. Vis. Comput. Graph. 30(7): 3545-3563 (2024) - [j179]Lipeng Gu, Xuefeng Yan, Peng Cui, Lina Gong, Haoran Xie, Fu Lee Wang, Jing Qin, Mingqiang Wei:
PointSee: Image Enhances Point Cloud. IEEE Trans. Vis. Comput. Graph. 30(9): 6291-6308 (2024) - [j178]Jing Zou, Jing Qin:
Real-time volume rendering for three-dimensional fetal ultrasound using volumetric photon mapping. Vis. Comput. Ind. Biomed. Art 7(1): 25 (2024) - [c142]Zhixue Fang, Xinrong Guo, Jingyin Lin, Huisi Wu, Jing Qin:
An Embedding-Unleashing Video Polyp Segmentation Framework via Region Linking and Scale Alignment. AAAI 2024: 1744-1752 - [c141]Yuzhi Liu, Huisi Wu, Jing Qin:
FedCD: Federated Semi-Supervised Learning with Class Awareness Balance via Dual Teachers. AAAI 2024: 3837-3845 - [c140]Sen Deng, Yidan Feng, Haoneng Lin, Yiting Fan, Alex Pui-Wai Lee, Xiaowei Hu, Jing Qin:
Semi-supervised TEE Segmentation via Interacting with SAM Equipped with Noise-Resilient Prompting. AAAI 2024: 11757-11765 - [c139]Tian Ye, Sixiang Chen, Wenhao Chai, Zhaohu Xing, Jing Qin, Ge Lin, Lei Zhu:
Learning Diffusion Texture Priors for Image Restoration. CVPR 2024: 2524-2534 - [c138]Yijun Yang, Hongtao Wu, Angelica I. Avilés-Rivero, Yulun Zhang, Jing Qin, Lei Zhu:
Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal. CVPR 2024: 25606-25616 - [c137]Zhixue Fang, Yuzhi Liu, Huisi Wu, Jing Qin:
VP-SAM: Taming Segment Anything Model for Video Polyp Segmentation via Disentanglement and Spatio-Temporal Side Network. ECCV (23) 2024: 367-383 - [c136]Guoqi Yu, Jing Zou, Xiaowei Hu, Angelica I. Avilés-Rivero, Jing Qin, Shujun Wang:
Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling. ICML 2024 - [c135]Weiwen Zhang, Cheng Xu, Xuemiao Xu, Huaidong Zhang, Rongchen Zhao, Jing Qin:
Exploiting Multi-View Clues for Context-Aware Unified Lumbar MRI Identification and Diagnosis. IJCNN 2024: 1-9 - [c134]Xiaoke Hao, Mingming Ma, Yingchun Guo, Jiawang Li, Jing Qin, Daoqiang Zhang:
A Framework on Imaging and Phenotype Information Hierarchical Graph Convolutional Networks for Identification of Autism Spectrum Disorder. ISBI 2024: 1-4 - [c133]Jialun Pei, Ruize Cui, Yaoqian Li, Weixin Si, Jing Qin, Pheng-Ann Heng:
Depth-Driven Geometric Prompt Learning for Laparoscopic Liver Landmark Detection. MICCAI (6) 2024: 154-164 - [c132]Zhaohu Xing, Sicheng Yang, Sixiang Chen, Tian Ye, Yijun Yang, Jing Qin, Lei Zhu:
Cross-conditioned Diffusion Model for Medical Image to Image Translation. MICCAI (7) 2024: 201-211 - [c131]Yidan Feng, Bingchen Gao, Sen Deng, Anqi Qiu, Jing Qin:
Unified Multi-modal Learning for Any Modality Combinations in Alzheimer's Disease Diagnosis. MICCAI (3) 2024: 487-497 - [c130]Long Lei, Jun Zhou, Jialun Pei, Baoliang Zhao, Yueming Jin, Jeremy Yuen-Chun Teoh, Jing Qin, Pheng-Ann Heng:
Epicardium Prompt-Guided Real-Time Cardiac Ultrasound Frame-to-Volume Registration. MICCAI (2) 2024: 618-628 - [c129]Huihui Xu, Yijun Yang, Angelica I. Avilés-Rivero, Guang Yang, Jing Qin, Lei Zhu:
LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos. MICCAI (4) 2024: 667-677 - [i71]Yazhou Zhang, Mengyao Wang, Chenyu Ren, Qiuchi Li, Prayag Tiwari, Benyou Wang, Jing Qin:
Pushing The Limit of LLM Capacity for Text Classification. CoRR abs/2402.07470 (2024) - [i70]Guoqi Yu, Jing Zou, Xiaowei Hu, Angelica I. Avilés-Rivero, Jing Qin, Shujun Wang:
Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling. CoRR abs/2402.12694 (2024) - [i69]Yijun Yang, Hongtao Wu, Angelica I. Avilés-Rivero, Yulun Zhang, Jing Qin, Lei Zhu:
Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal. CoRR abs/2403.07684 (2024) - [i68]Long Lei, Jun Zhou, Jialun Pei, Baoliang Zhao, Yueming Jin, Jeremy Yuen-Chun Teoh, Jing Qin, Pheng-Ann Heng:
Epicardium Prompt-guided Real-time Cardiac Ultrasound Frame-to-volume Registration. CoRR abs/2406.14534 (2024) - [i67]Chenyu Ren, Yazhou Zhang, Daihai He, Jing Qin:
WundtGPT: Shaping Large Language Models To Be An Empathetic, Proactive Psychologist. CoRR abs/2406.15474 (2024) - [i66]Jialun Pei, Ruize Cui, Yaoqian Li, Weixin Si, Jing Qin, Pheng-Ann Heng:
Depth-Driven Geometric Prompt Learning for Laparoscopic Liver Landmark Detection. CoRR abs/2406.17858 (2024) - [i65]Jing Zou, Lanqing Liu, Qi Chen, Shujun Wang, Xiaohan Xing, Jing Qin:
MMR-Mamba: Multi-Contrast MRI Reconstruction with Mamba and Spatial-Frequency Information Fusion. CoRR abs/2406.18950 (2024) - [i64]Zi Wang, Fanwen Wang, Chen Qin, Jun Lyu, Ouyang Cheng, Shuo Wang, Yan Li, Mengyao Yu, Haoyu Zhang, Kunyuan Guo, Zhang Shi, Qirong Li, Ziqiang Xu, Yajing Zhang, Hao Li, Sha Hua, Binghua Chen, Longyu Sun, Mengting Sun, Qin Li, Ying-Hua Chu, Wenjia Bai, Jing Qin, Xiahai Zhuang, Claudia Prieto, Alistair A. Young, Michael Markl, He Wang, Lianming Wu, Guang Yang, Xiaobo Qu, Chengyan Wang:
CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI. CoRR abs/2406.19043 (2024) - [i63]Huihui Xu, Yijun Yang, Angelica I. Avilés-Rivero, Guang Yang, Jing Qin, Lei Zhu:
LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos. CoRR abs/2407.05703 (2024) - [i62]Zikai Huang, Xuemiao Xu, Cheng Xu, Huaidong Zhang, Chenxi Zheng, Jing Qin, Shengfeng He:
Beat-It: Beat-Synchronized Multi-Condition 3D Dance Generation. CoRR abs/2407.07554 (2024) - [i61]Haoxin Yang, Xuemiao Xu, Cheng Xu, Huaidong Zhang, Jing Qin, Yi Wang, Pheng-Ann Heng, Shengfeng He:
G2Face: High-Fidelity Reversible Face Anonymization via Generative and Geometric Priors. CoRR abs/2408.09458 (2024) - [i60]Yazhou Zhang, Chunwang Zou, Zheng Lian, Prayag Tiwari, Jing Qin:
SarcasmBench: Towards Evaluating Large Language Models on Sarcasm Understanding. CoRR abs/2408.11319 (2024) - [i59]Zhaohu Xing, Sicheng Yang, Sixiang Chen, Tian Ye, Yijun Yang, Jing Qin, Lei Zhu:
Cross-conditioned Diffusion Model for Medical Image to Image Translation. CoRR abs/2409.08500 (2024) - [i58]Peiyi Zhang, Yazhou Zhang, Bo Wang, Lu Rong, Jing Qin:
Edu-Values: Towards Evaluating the Chinese Education Values of Large Language Models. CoRR abs/2409.12739 (2024) - 2023
- [j177]Wenlong Hang, Zengguang Li, Mingbo Yin, Shuang Liang, Hang Shen, Qiong Wang, Jing Qin, Kup-Sze Choi:
Deep stacked least square support matrix machine with adaptive multi-layer transfer for EEG classification. Biomed. Signal Process. Control. 82: 104579 (2023) - [j176]Shuang Liang, Zengguang Li, Wenlong Hang, Yuanpeng Zhang, Baiying Lei, Jing Qin, Yu Zhang, Kup-Sze Choi:
Structure invariance-driven collaborative contrastive network for EEG decoding. Biomed. Signal Process. Control. 86(Part B): 105214 (2023) - [j175]Pan Huang, Xiaoli Zhou, Peng He, Peng Feng, Sukun Tian, Yuchun Sun, Francesco Mercaldo, Antonella Santone, Jing Qin, Hualiang Xiao:
Interpretable laryngeal tumor grading of histopathological images via depth domain adaptive network with integration gradient CAM and priori experience-guided attention. Comput. Biol. Medicine 154: 106447 (2023) - [j174]Jun Lyu, Yapeng Tian, Qing Cai, Chengyan Wang, Jing Qin:
Adaptive channel-modulated personalized federated learning for magnetic resonance image reconstruction. Comput. Biol. Medicine 165: 107330 (2023) - [j173]Yan Zhou, Zhaolong Dang, Huaidong Zhang, Xuemiao Xu, Jing Qin, Wenjun Li, Fanzhi Zeng, Xiangyu Liu:
EFSCNN: Encoded Feature Sphere Convolution Neural Network for fast non-rigid 3D models classification and retrieval. Comput. Vis. Image Underst. 233: 103724 (2023) - [j172]Jun Lyu, Bin Sui, Chengyan Wang, Qi Dou, Jing Qin:
Adaptive feature aggregation based multi-task learning for uncertainty-guided semi-supervised medical image segmentation. Expert Syst. Appl. 232: 120836 (2023) - [j171]Lan Cheng, WK Chan, Yi Peng, Harry Qin:
Towards data-driven tele-medicine intelligence: community-based mental healthcare paradigm shift for smart aging amid COVID-19 pandemic. Health Inf. Sci. Syst. 11(1): 14 (2023) - [j170]Boyu Huang, Youyi Song, Zhihan Cui, Haowen Dou, Dazhi Jiang, Teng Zhou, Jing Qin:
Gravitational search algorithm-extreme learning machine for COVID-19 active cases forecasting. IET Softw. 17(4): 554-565 (2023) - [j169]Yang Zhou, Hanjie Wu, Wenxi Liu, Zheng Xiong, Jing Qin, Shengfeng He:
Single-View View Synthesis with Self-rectified Pseudo-Stereo. Int. J. Comput. Vis. 131(8): 2032-2043 (2023) - [j168]Yiyang Shen, Rongwei Yu, Ni Shu, Jing Qin, Mingqiang Wei:
HLA-HOD: Joint High-Low Adaptation for Object Detection in Hazy Weather Conditions. Int. J. Intell. Syst. 2023: 1-15 (2023) - [j167]Weiwei Fang, Wenhao Zhuo, Youyi Song, Jingwen Yan, Teng Zhou, Jing Qin:
Δfree-LSTM: An error distribution free deep learning for short-term traffic flow forecasting. Neurocomputing 526: 180-190 (2023) - [j166]Yazhou Zhang, Jinglin Wang, Yaochen Liu, Lu Rong, Qian Zheng, Dawei Song, Prayag Tiwari, Jing Qin:
A Multitask learning model for multimodal sarcasm, sentiment and emotion recognition in conversations. Inf. Fusion 93: 282-301 (2023) - [j165]Dongbin Yin, Baizhong Zhang, Jingwen Yan, Yu Luo, Teng Zhou, Jing Qin:
CoWNet: A correlation weighted network for geological hazard detection. Knowl. Based Syst. 275: 110684 (2023) - [j164]Qi Liu, Geyi Zhou, Jianquan Zhong, Ling Tang, Yao Lu, Jing Qin, Ling He, Jing Zhang:
Path planning for percutaneous lung biopsy based on the loose-Pareto and adaptive heptagonal optimization method. Medical Biol. Eng. Comput. 61(6): 1449-1472 (2023) - [j163]Jun Lyu, Guangyuan Li, Chengyan Wang, Chen Qin, Shuo Wang, Qi Dou, Jing Qin:
Region-focused multi-view transformer-based generative adversarial network for cardiac cine MRI reconstruction. Medical Image Anal. 85: 102760 (2023) - [j162]Haoran Zhou, Honghua Chen, Yingkui Zhang, Mingqiang Wei, Haoran Xie, Jun Wang, Tong Lu, Jing Qin, Xiao-Ping Zhang:
Refine-Net: Normal Refinement Neural Network for Noisy Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 946-963 (2023) - [j161]Yongtuo Liu, Sucheng Ren, Liangyu Chai, Hanjie Wu, Dan Xu, Jing Qin, Shengfeng He:
Reducing Spatial Labeling Redundancy for Active Semi-Supervised Crowd Counting. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 9248-9255 (2023) - [j160]Mingqiang Wei, Zeyong Wei, Haoran Zhou, Fei Hu, Huajian Si, Zhilei Chen, Zhe Zhu, Jingbo Qiu, Xuefeng Yan, Yanwen Guo, Jun Wang, Jing Qin:
AGConv: Adaptive Graph Convolution on 3D Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9374-9392 (2023) - [j159]Yuan Liang, Bailin Deng, Wenxi Liu, Jing Qin, Shengfeng He:
Monocular Depth Estimation for Glass Walls With Context: A New Dataset and Method. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15081-15097 (2023) - [j158]Xiaoke Hao, Qihao Tan, Yingchun Guo, Yunjia Xiao, Ming Yu, Meiling Wang, Jing Qin, Daoqiang Zhang, Alzheimer's Disease Neuroimaging Initiative:
Identifying Modality-Consistent and Modality-Specific Features via Label-Guided Multi-Task Sparse Canonical Correlation Analysis for Neuroimaging Genetics. IEEE Trans. Biomed. Eng. 70(3): 831-840 (2023) - [j157]Peng Wan, Haiyan Xue, Chunrui Liu, Fang Chen, Wei Shao, Jing Qin, Wentao Kong, Daoqiang Zhang:
Transport-Based Anatomical-Functional Metric Learning for Liver Tumor Recognition Using Dual-View Dynamic CEUS Imaging. IEEE Trans. Biomed. Eng. 70(3): 1012-1023 (2023) - [j156]Weiwei Cai, Huaidong Zhang, Xuemiao Xu, Shengfeng He, Kun Zhang, Jing Qin:
Contextual-Assisted Scratched Photo Restoration. IEEE Trans. Circuits Syst. Video Technol. 33(10): 5458-5469 (2023) - [j155]Huisi Wu, Zebin Zhao, Jiafu Zhong, Wei Wang, Zhenkun Wen, Jing Qin:
PolypSeg+: A Lightweight Context-Aware Network for Real-Time Polyp Segmentation. IEEE Trans. Cybern. 53(4): 2610-2621 (2023) - [j154]Yiyang Shen, Rongwei Yu, Peng Wu, Haoran Xie, Lina Gong, Jing Qin, Mingqiang Wei:
ImLiDAR: Cross-Sensor Dynamic Message Propagation Network for 3-D Object Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j153]Pan Huang, Peng He, Sukun Tian, Mingrui Ma, Peng Feng, Hualiang Xiao, Francesco Mercaldo, Antonella Santone, Jing Qin:
A ViT-AMC Network With Adaptive Model Fusion and Multiobjective Optimization for Interpretable Laryngeal Tumor Grading From Histopathological Images. IEEE Trans. Medical Imaging 42(1): 15-28 (2023) - [j152]Youyi Song, Lequan Yu, Baiying Lei, Kup-Sze Choi, Jing Qin:
Data Discernment for Affordable Training in Medical Image Segmentation. IEEE Trans. Medical Imaging 42(5): 1431-1445 (2023) - [j151]Huisi Wu, Xiaoting Huang, Xinrong Guo, Zhenkun Wen, Jing Qin:
Cross-Image Dependency Modeling for Breast Ultrasound Segmentation. IEEE Trans. Medical Imaging 42(6): 1619-1631 (2023) - [j150]Huisi Wu, Canfeng Lin, Jiasheng Liu, Youyi Song, Zhenkun Wen, Jing Qin:
Feature Masking on Non-Overlapping Regions for Detecting Dense Cells in Blood Smear Image. IEEE Trans. Medical Imaging 42(6): 1668-1680 (2023) - [j149]Jiacheng Wang, Fei Chen, Yuxi Ma, Liansheng Wang, Zhaodong Fei, Jianwei Shuai, Xiangdong Tang, Qichao Zhou, Jing Qin:
XBound-Former: Toward Cross-Scale Boundary Modeling in Transformers. IEEE Trans. Medical Imaging 42(6): 1735-1745 (2023) - [j148]Wentai Hou, Chengxuan Lin, Lequan Yu, Jing Qin, Rongshan Yu, Liansheng Wang:
Hybrid Graph Convolutional Network With Online Masked Autoencoder for Robust Multimodal Cancer Survival Prediction. IEEE Trans. Medical Imaging 42(8): 2462-2473 (2023) - [j147]Huisi Wu, Zhaoze Wang, Zebin Zhao, Cheng Chen, Jing Qin:
Continual Nuclei Segmentation via Prototype-Wise Relation Distillation and Contrastive Learning. IEEE Trans. Medical Imaging 42(12): 3794-3804 (2023) - [j146]Huisi Wu, Zhaoze Wang, Zhuoying Li, Zhenkun Wen, Jing Qin:
Context Prior Guided Semantic Modeling for Biomedical Image Segmentation. ACM Trans. Multim. Comput. Commun. Appl. 19(2s): 90:1-90:19 (2023) - [c128]Huisi Wu, Jingyin Lin, Wende Xie, Jing Qin:
Super-efficient Echocardiography Video Segmentation via Proxy- and Kernel-Based Semi-supervised Learning. AAAI 2023: 2803-2811 - [c127]Wenlong Hang, Jiaxing Li, Shuang Liang, Yuan Wu, Baiying Lei, Jing Qin, Yu Zhang, Kup-Sze Choi:
FedEEG: Federated EEG Decoding Via inter-Subject Structure Matching. ICASSP 2023: 1-5 - [c126]Jun Zhou, Kai Chen, Linlin Xu, Qi Dou, Jing Qin:
Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose Estimation. ICCV 2023: 13921-13931 - [c125]Zhe Zhu, Honghua Chen, Xing He, Weiming Wang, Jing Qin, Mingqiang Wei:
SVDFormer: Complementing Point Cloud via Self-view Augmentation and Self-structure Dual-generator. ICCV 2023: 14462-14472 - [c124]Tianhong Quan, Ye Yuan, Yu Luo, Teng Zhou, Jing Qin:
Robust Exclusive Adaptive Sparse Feature Selection for Biomarker Discovery and Early Diagnosis of Neuropsychiatric Systemic Lupus Erythematosus. MICCAI (5) 2023: 127-135 - [c123]Yiliang Chen, Shengfeng He, Yueming Jin, Jing Qin:
Surgical Activity Triplet Recognition via Triplet Disentanglement. MICCAI (9) 2023: 451-461 - [c122]Ziyu Yang, Sucheng Ren, Zongwei Wu, Nanxuan Zhao, Junle Wang, Jing Qin, Shengfeng He:
NPF-200: A Multi-Modal Eye Fixation Dataset and Method for Non-Photorealistic Videos. ACM Multimedia 2023: 2294-2304 - [c121]Yazhou Zhang, Yang Yu, Qing Guo, Benyou Wang, Dongming Zhao, Sagar Uprety, Dawei Song, Qiuchi Li, Jing Qin:
CMMA: Benchmarking Multi-Affection Detection in Chinese Multi-Modal Conversations. NeurIPS 2023 - [c120]Guangming Wang, Jun Lyu, Fanwen Wang, Chengyan Wang, Jing Qin:
Multi-level Temporal Information Sharing Transformer-Based Feature Reuse Network for Cardiac MRI Reconstruction. STACOM@MICCAI 2023: 410-420 - [c119]Xunkang Zhao, Jun Lyu, Fanwen Wang, Chengyan Wang, Jing Qin:
Temporal Super-Resolution for Fast T1 Mapping. STACOM@MICCAI 2023: 443-453 - [i57]Jing Zou, Noémie Debroux, Lihao Liu, Jing Qin, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Homeomorphic Image Registration via Conformal-Invariant Hyperelastic Regularisation. CoRR abs/2303.08113 (2023) - [i56]Yang Zhou, Hanjie Wu, Wenxi Liu, Zheng Xiong, Jing Qin, Shengfeng He:
Single-View View Synthesis with Self-Rectified Pseudo-Stereo. CoRR abs/2304.09527 (2023) - [i55]Zhe Zhu, Honghua Chen, Xing He, Weiming Wang, Jing Qin, Mingqiang Wei:
SVDFormer: Complementing Point Cloud via Self-view Augmentation and Self-structure Dual-generator. CoRR abs/2307.08492 (2023) - [i54]Jun Zhou, Kai Chen, Linlin Xu, Qi Dou, Jing Qin:
Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose Estimation. CoRR abs/2308.05438 (2023) - [i53]Ziyu Yang, Sucheng Ren, Zongwei Wu, Nanxuan Zhao, Junle Wang, Jing Qin, Shengfeng He:
NPF-200: A Multi-Modal Eye Fixation Dataset and Method for Non-Photorealistic Videos. CoRR abs/2308.12163 (2023) - [i52]Chengyan Wang, Jun Lyu, Shuo Wang, Chen Qin, Kunyuan Guo, Xinyu Zhang, Xiaotong Yu, Yan Li, Fanwen Wang, Jianhua Jin, Zhang Shi, Ziqiang Xu, Yapeng Tian, Sha Hua, Zhensen Chen, Meng Liu, Mengting Sun, Xutong Kuang, Kang Wang, Haoran Wang, Hao Li, Ying-Hua Chu, Guang Yang, Wenjia Bai, Xiahai Zhuang, He Wang, Jing Qin, Xiaobo Qu:
CMRxRecon: An open cardiac MRI dataset for the competition of accelerated image reconstruction. CoRR abs/2309.10836 (2023) - [i51]Yazhou Zhang, Mengyao Wang, Prayag Tiwari, Qiuchi Li, Benyou Wang, Jing Qin:
DialogueLLM: Context and Emotion Knowledge-Tuned LLaMA Models for Emotion Recognition in Conversations. CoRR abs/2310.11374 (2023) - [i50]Jiarui Zhu, Weixing Chen, Hongfei Sun, Shaohua Zhi, Jing Qin, Jing Cai, Ge Ren:
Feature-oriented Deep Learning Framework for Pulmonary Cone-beam CT (CBCT) Enhancement with Multi-task Customized Perceptual Loss. CoRR abs/2311.00412 (2023) - [i49]Xin Li, Peng Li, Zeyong Wei, Zhe Zhu, Mingqiang Wei, Junhui Hou, Liangliang Nan, Jing Qin, Haoran Xie, Fu Lee Wang:
Cross-BERT for Point Cloud Pretraining. CoRR abs/2312.04891 (2023) - 2022
- [j145]Shuang Liang, Wenlong Hang, Mingbo Yin, Hang Shen, Qiong Wang, Jing Qin, Kup-Sze Choi, Yu Zhang:
Deep EEG feature learning via stacking common spatial pattern and support matrix machine. Biomed. Signal Process. Control. 74: 103531 (2022) - [j144]Yingkui Zhang, Guibao Shen, Qiong Wang, Yinling Qian, Mingqiang Wei, Jing Qin:
GeoBi-GNN: Geometry-aware Bi-domain Mesh Denoising via Graph Neural Networks. Comput. Aided Des. 144: 103154 (2022) - [j143]Kang Wang, Lequan Yu, Jinghua Xu, Shuyou Zhang, Jing Qin:
Energy consumption intelligent modeling and prediction for additive manufacturing via multisource fusion and inter-layer consistency. Comput. Ind. Eng. 173: 108720 (2022) - [j142]Zhilei Chen, Honghua Chen, Lina Gong, Xuefeng Yan, Jun Wang, Yanwen Guo, Jing Qin, Mingqiang Wei:
UTOPIC: Uncertainty-aware Overlap Prediction Network for Partial Point Cloud Registration. Comput. Graph. Forum 41(7): 87-98 (2022) - [j141]Tao Peng, Yiyun Wu, Jing Qin, Qingrong Jackie Wu, Jing Cai:
H-ProSeg: Hybrid ultrasound prostate segmentation based on explainability-guided mathematical model. Comput. Methods Programs Biomed. 219: 106752 (2022) - [j140]Huisi Wu, Jiasheng Liu, Fangyan Xiao, Zhenkun Wen, Lan Cheng, Jing Qin:
Semi-supervised segmentation of echocardiography videos via noise-resilient spatiotemporal semantic calibration and fusion. Neurocomputing 489: 18-26 (2022) - [j139]Jiacheng Wang, Yueming Jin, Shuntian Cai, Hongzhi Xu, Pheng-Ann Heng, Jing Qin, Liansheng Wang:
Real-time landmark detection for precise endoscopic submucosal dissection via shape-aware relation network. Medical Image Anal. 75: 102291 (2022) - [j138]Huisi Wu, Jiasheng Liu, Fangyan Xiao, Zhenkun Wen, Lan Cheng, Jing Qin:
Semi-supervised segmentation of echocardiography videos via noise-resilient spatiotemporal semantic calibration and fusion. Medical Image Anal. 78: 102397 (2022) - [j137]Cheng Zhao, Weiling Chen, Jing Qin, Peng Yang, Zhuo Xiang, Alejandro F. Frangi, Minsi Chen, Shumin Fan, Wei Yu, Xunyi Chen, Bei Xia, Tianfu Wang, Baiying Lei:
IFT-Net: Interactive Fusion Transformer Network for Quantitative Analysis of Pediatric Echocardiography. Medical Image Anal. 82: 102648 (2022) - [j136]Badong Chen, Yuqing Xie, Xin Wang, Zejian Yuan, Pengju Ren, Jing Qin:
Multikernel Correntropy for Robust Learning. IEEE Trans. Cybern. 52(12): 13500-13511 (2022) - [j135]Anam Nazir, Muhammad Nadeem Cheema, Bin Sheng, Ping Li, Huating Li, Guangtao Xue, Jing Qin, Jinman Kim, David Dagan Feng:
ECSU-Net: An Embedded Clustering Sliced U-Net Coupled With Fusing Strategy for Efficient Intervertebral Disc Segmentation and Classification. IEEE Trans. Image Process. 31: 880-893 (2022) - [j134]Peng Li, Xuefeng Yan, Hongwei Zhu, Mingqiang Wei, Xiao-Ping Zhang, Jing Qin:
FindNet: Can You Find Me? Boundary-and-Texture Enhancement Network for Camouflaged Object Detection. IEEE Trans. Image Process. 31: 6396-6411 (2022) - [j133]Zhongwei Huang, Haijun Lei, Guoliang Chen, Alejandro F. Frangi, Yanwu Xu, Ahmed Elazab, Jing Qin, Baiying Lei:
Parkinson's Disease Classification and Clinical Score Regression via United Embedding and Sparse Learning From Longitudinal Data. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3357-3371 (2022) - [c118]Wentai Hou, Lequan Yu, Chengxuan Lin, Helong Huang, Rongshan Yu, Jing Qin, Liansheng Wang:
H^2-MIL: Exploring Hierarchical Representation with Heterogeneous Multiple Instance Learning for Whole Slide Image Analysis. AAAI 2022: 933-941 - [c117]Jiacheng Wang, Xiaomeng Li, Yiming Han, Jing Qin, Liansheng Wang, Qichao Zhou:
Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation. AAAI 2022: 2459-2467 - [c116]Hongwei Zhu, Peng Li, Haoran Xie, Xuefeng Yan, Dong Liang, Dapeng Chen, Mingqiang Wei, Jing Qin:
I Can Find You! Boundary-Guided Separated Attention Network for Camouflaged Object Detection. AAAI 2022: 3608-3616 - [c115]Huisi Wu, Zhaoze Wang, Youyi Song, Lin Yang, Jing Qin:
Cross-patch Dense Contrastive Learning for Semi-supervised Segmentation of Cellular Nuclei in Histopathologic Images. CVPR 2022: 11656-11665 - [c114]Guangyuan Li, Jun Lv, Yapeng Tian, Qi Dou, Chengyan Wang, Chenliang Xu, Jing Qin:
Transformer-empowered Multi-scale Contextual Matching and Aggregation for Multi-contrast MRI Super-resolution. CVPR 2022: 20604-20613 - [c113]Haorui Song, Yong Du, Tianyi Xiang, Junyu Dong, Jing Qin, Shengfeng He:
Editing Out-of-Domain GAN Inversion via Differential Activations. ECCV (17) 2022: 1-17 - [c112]Yufei Wen, Chongxin Liang, Jingyin Lin, Huisi Wu, Jing Qin:
ExSwin-Unet: An Unbalanced Weighted Unet with Shifted Window and External Attentions for Fetal Brain MRI Image Segmentation. ECCV Workshops (3) 2022: 340-354 - [c111]Shuai Wang, Lei Zhu, Huazhu Fu, Jing Qin, Carola-Bibiane Schönlieb, Wei Feng, Song Wang:
Rethinking Video Rain Streak Removal: A New Synthesis Model and a Deraining Network with Video Rain Prior. ECCV (19) 2022: 565-582 - [c110]Yiyang Shen, Yidan Feng, Weiming Wang, Dong Liang, Jing Qin, Haoran Xie, Mingqiang Wei:
MBA-RainGAN: A Multi-Branch Attention Generative Adversarial Network for Mixture of Rain Removal. ICASSP 2022: 3418-3422 - [c109]Minhao Liu, Ailing Zeng, Qiuxia Lai, Ruiyuan Gao, Min Li, Jing Qin, Qiang Xu:
T-WaveNet: A Tree-Structured Wavelet Neural Network for Time Series Signal Analysis. ICLR 2022 - [c108]Tianhong Quan, Ye Yuan, Youyi Song, Teng Zhou, Jing Qin:
Fuzzy Structural Broad Learning for Breast Cancer Classification. ISBI 2022: 1-4 - [c107]Wenao Ma, Cheng Chen, Shuang Zheng, Jing Qin, Huimao Zhang, Qi Dou:
Test-Time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift. MICCAI (3) 2022: 313-323 - [c106]Guangyuan Li, Jun Lyu, Chengyan Wang, Qi Dou, Jing Qin:
WavTrans: Synergizing Wavelet and Cross-Attention Transformer for Multi-contrast MRI Super-Resolution. MICCAI (6) 2022: 463-473 - [c105]Jun Lyu, Bin Sui, Chengyan Wang, Yapeng Tian, Qi Dou, Jing Qin:
DuDoCAF: Dual-Domain Cross-Attention Fusion with Recurrent Transformer for Fast Multi-contrast MR Imaging. MICCAI (6) 2022: 474-484 - [c104]Zhi Lin, Junhao Lin, Lei Zhu, Huazhu Fu, Jing Qin, Liansheng Wang:
A New Dataset and a Baseline Model for Breast Lesion Detection in Ultrasound Videos. MICCAI (3) 2022: 614-623 - [c103]Wenlong Hang, Yecheng Huang, Shuang Liang, Baiying Lei, Kup-Sze Choi, Jing Qin:
Reliability-Aware Contrastive Self-ensembling for Semi-supervised Medical Image Classification. MICCAI (1) 2022: 754-763 - [c102]Dapeng Chen, Min Wang, Haobin Chen, Lin Wu, Jing Qin, Wei Peng:
Cross-Modal Retrieval with Heterogeneous Graph Embedding. ACM Multimedia 2022: 3291-3300 - [c101]Ye Liu, Liang Wan, Huazhu Fu, Jing Qin, Lei Zhu:
Phase-based Memory Network for Video Dehazing. ACM Multimedia 2022: 5427-5435 - [c100]Jing Zou, Lihao Liu, Youyi Song, Kup-Sze Choi, Jing Qin:
Deformable Lung CT Registration by Decomposing Large Deformation. WBIR 2022: 185-189 - [i48]Haoran Zhou, Honghua Chen, Yingkui Zhang, Mingqiang Wei, Haoran Xie, Jun Wang, Tong Lu, Jing Qin, Xiao-Ping Zhang:
Refine-Net: Normal Refinement Neural Network for Noisy Point Clouds. CoRR abs/2203.12514 (2022) - [i47]Guangyuan Li, Jun Lv, Yapeng Tian, Qi Dou, Chengyan Wang, Chenliang Xu, Jing Qin:
Transformer-empowered Multi-scale Contextual Matching and Aggregation for Multi-contrast MRI Super-resolution. CoRR abs/2203.13963 (2022) - [i46]Yiyang Shen, Sen Deng, Wenhan Yang, Mingqiang Wei, Haoran Xie, Xiaoping Zhang, Jing Qin, Meng Wang:
Semi-DRDNet Semi-supervised Detail-recovery Image Deraining Network via Unpaired Contrastive Learning. CoRR abs/2204.02772 (2022) - [i45]Yongzhen Wang, Xuefeng Yan, Fu Lee Wang, Haoran Xie, Wenhan Yang, Mingqiang Wei, Jing Qin:
UCL-Dehaze: Towards Real-world Image Dehazing via Unsupervised Contrastive Learning. CoRR abs/2205.01871 (2022) - [i44]Jiacheng Wang, Fei Chen, Yuxi Ma, Liansheng Wang, Zhaodong Fei, Jianwei Shuai, Xiangdong Tang, Qichao Zhou, Jing Qin:
XBound-Former: Toward Cross-scale Boundary Modeling in Transformers. CoRR abs/2206.00806 (2022) - [i43]Mingqiang Wei, Zeyong Wei, Haoran Zhou, Fei Hu, Huajian Si, Zhilei Chen, Zhe Zhu, Jingbo Qiu, Xuefeng Yan, Yanwen Guo, Jun Wang, Jing Qin:
AGConv: Adaptive Graph Convolution on 3D Point Clouds. CoRR abs/2206.04665 (2022) - [i42]Baian Chen, Zhilei Chen, Xiaowei Hu, Jun Xu, Haoran Xie, Mingqiang Wei, Jing Qin:
Dynamic Message Propagation Network for RGB-D Salient Object Detection. CoRR abs/2206.09552 (2022) - [i41]Zhi Lin, Junhao Lin, Lei Zhu, Huazhu Fu, Jing Qin, Liansheng Wang:
A New Dataset and A Baseline Model for Breast Lesion Detection in Ultrasound Videos. CoRR abs/2207.00141 (2022) - [i40]Wenao Ma, Cheng Chen, Shuang Zheng, Jing Qin, Huimao Zhang, Qi Dou:
Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift. CoRR abs/2207.00769 (2022) - [i39]Haorui Song, Yong Du, Tianyi Xiang, Junyu Dong, Jing Qin, Shengfeng He:
Editing Out-of-domain GAN Inversion via Differential Activations. CoRR abs/2207.08134 (2022) - [i38]Zhe Zhu, Liangliang Nan, Haoran Xie, Honghua Chen, Mingqiang Wei, Jun Wang, Jing Qin:
CSDN: Cross-modal Shape-transfer Dual-refinement Network for Point Cloud Completion. CoRR abs/2208.00751 (2022) - [i37]Zhilei Chen, Honghua Chen, Lina Gong, Xuefeng Yan, Jun Wang, Yanwen Guo, Jing Qin, Mingqiang Wei:
UTOPIC: Uncertainty-aware Overlap Prediction Network for Partial Point Cloud Registration. CoRR abs/2208.02712 (2022) - [i36]Yiyang Shen, Rongwei Yu, Peng Wu, Haoran Xie, Lina Gong, Jing Qin, Mingqiang Wei:
ImLiDAR: Cross-Sensor Dynamic Message Propagation Network for 3D Object Detection. CoRR abs/2211.09518 (2022) - [i35]Xudong Kang, Haoran Xie, Man-Leung Wong, Jing Qin:
Rethinking Generative Methods for Image Restoration in Physics-based Vision: A Theoretical Analysis from the Perspective of Information. CoRR abs/2212.02198 (2022) - 2021
- [j132]Huakang Lu, Zuhao Ge, Youyi Song, Dazhi Jiang, Teng Zhou, Jing Qin:
A temporal-aware LSTM enhanced by loss-switch mechanism for traffic flow forecasting. Neurocomputing 427: 169-178 (2021) - [j131]Luming Liang, Seng Deng, Lionel Gueguen, Mingqiang Wei, Xinming Wu, Jing Qin:
Convolutional neural network with median layers for denoising salt-and-pepper contaminations. Neurocomputing 442: 26-35 (2021) - [j130]Huaidong Zhang, Chu Han, Xiaodan Zhang, Yong Du, Xuemiao Xu, Guoqiang Han, Jing Qin, Shengfeng He:
Fast scene labeling via structural inference. Neurocomputing 442: 317-326 (2021) - [j129]Huisi Wu, Wei Wang, Jiafu Zhong, Baiying Lei, Zhenkun Wen, Jing Qin:
SCS-Net: A Scale and Context Sensitive Network for Retinal Vessel Segmentation. Medical Image Anal. 70: 102025 (2021) - [j128]Libao Guo, Baiying Lei, Weiling Chen, Jie Du, Alejandro F. Frangi, Jing Qin, Cheng Zhao, Pengpeng Shi, Bei Xia, Tianfu Wang:
Dual attention enhancement feature fusion network for segmentation and quantitative analysis of paediatric echocardiography. Medical Image Anal. 71: 102042 (2021) - [j127]Wentai Hou, Liansheng Wang, Shuntian Cai, Zhenyu Lin, Rongshan Yu, Jing Qin:
Early neoplasia identification in Barrett's esophagus via attentive hierarchical aggregation and self-distillation. Medical Image Anal. 72: 102092 (2021) - [j126]Fei Chen, Donghong Wang, Qiuzhen Lin, Jianyong Chen, Zhong Ming, Wei Yu, Jing Qin:
Towards Dynamic Verifiable Pattern Matching. IEEE Trans. Big Data 7(2): 421-435 (2021) - [j125]Jiaojiao Chen, Jianbo Jiao, Shengfeng He, Guoqiang Han, Jing Qin:
Few-Shot Breast Cancer Metastases Classification via Unsupervised Cell Ranking. IEEE ACM Trans. Comput. Biol. Bioinform. 18(5): 1914-1923 (2021) - [j124]Lei Zhu, Zijun Deng, Xiaowei Hu, Haoran Xie, Xuemiao Xu, Jing Qin, Pheng-Ann Heng:
Learning Gated Non-Local Residual for Single-Image Rain Streak Removal. IEEE Trans. Circuits Syst. Video Technol. 31(6): 2147-2159 (2021) - [j123]Muhammad Nadeem Cheema, Anam Nazir, Po Yang, Bin Sheng, Ping Li, Huating Li, Xiaoer Wei, Jing Qin, Jinman Kim, David Dagan Feng:
Modified GAN-CAED to Minimize Risk of Unintentional Liver Major Vessels Cutting by Controlled Segmentation Using CTA/SPET-CT. IEEE Trans. Ind. Informatics 17(12): 7991-8002 (2021) - [j122]Bingsheng Huang, Junru Tian, Hongyuan Zhang, Zixin Luo, Jing Qin, Chen Huang, Xueping He, Yanji Luo, Yongjin Zhou, Guo Dan, Hanwei Chen, Shi-Ting Feng, Chenglang Yuan:
Deep Semantic Segmentation Feature-Based Radiomics for the Classification Tasks in Medical Image Analysis. IEEE J. Biomed. Health Informatics 25(7): 2655-2664 (2021) - [j121]Huisi Wu, Junquan Pan, Zhuoying Li, Zhenkun Wen, Jing Qin:
Automated Skin Lesion Segmentation Via an Adaptive Dual Attention Module. IEEE Trans. Medical Imaging 40(1): 357-370 (2021) - [j120]Yongtao Zhang, Haimei Li, Jie Du, Jing Qin, Tianfu Wang, Yue Chen, Bing Liu, Wenwen Gao, Guolin Ma, Baiying Lei:
3D Multi-Attention Guided Multi-Task Learning Network for Automatic Gastric Tumor Segmentation and Lymph Node Classification. IEEE Trans. Medical Imaging 40(6): 1618-1631 (2021) - [j119]Sukun Tian, Miaohui Wang, Fulai Yuan, Ning Dai, Yuchun Sun, Wuyuan Xie, Jing Qin:
Efficient Computer-Aided Design of Dental Inlay Restoration: A Deep Adversarial Framework. IEEE Trans. Medical Imaging 40(9): 2415-2427 (2021) - [j118]Yangyang Xu, Chu Han, Jing Qin, Xuemiao Xu, Guoqiang Han, Shengfeng He:
Transductive Zero-Shot Action Recognition via Visually Connected Graph Convolutional Networks. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3761-3769 (2021) - [j117]Laizhong Cui, Zhe Xiao, Jiahao Wang, Fei Chen, Yi Pan, Hua Dai, Jing Qin:
Improving Vaccine Safety Using Blockchain. ACM Trans. Internet Techn. 21(2): 38:1-38:24 (2021) - [j116]Yicheng Liu, Luchuan Liao, Hao Wu, Jing Qin, Ling He, Gang Yang, Han Zhang, Jing Zhang:
Trajectory and image-based detection and identification of UAV. Vis. Comput. 37(7): 1769-1780 (2021) - [c99]Huisi Wu, Jiasheng Liu, Wei Wang, Zhenkun Wen, Jing Qin:
Region-aware Global Context Modeling for Automatic Nerve Segmentation from Ultrasound Images. AAAI 2021: 2907-2915 - [c98]Huisi Wu, Jiafu Zhong, Wei Wang, Zhenkun Wen, Jing Qin:
Precise Yet Efficient Semantic Calibration and Refinement in ConvNets for Real-time Polyp Segmentation from Colonoscopy Videos. AAAI 2021: 2916-2924 - [c97]Quande Liu, Cheng Chen, Jing Qin, Qi Dou, Pheng-Ann Heng:
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space. CVPR 2021: 1013-1023 - [c96]Zhihao Chen, Liang Wan, Lei Zhu, Jia Shen, Huazhu Fu, Wennan Liu, Jing Qin:
Triple-Cooperative Video Shadow Detection. CVPR 2021: 2715-2724 - [c95]Huisi Wu, Guilian Chen, Zhenkun Wen, Jing Qin:
Collaborative and Adversarial Learning of Focused and Dispersive Representations for Semi-supervised Polyp Segmentation. ICCV 2021: 3469-3478 - [c94]Haoran Zhou, Yidan Feng, Mingsheng Fang, Mingqiang Wei, Jing Qin, Tong Lu:
Adaptive Graph Convolution for Point Cloud Analysis. ICCV 2021: 4945-4954 - [c93]Yi Zheng, Shixiang Tang, Guolong Teng, Yixiao Ge, Kaijian Liu, Jing Qin, Donglian Qi, Dapeng Chen:
Online Pseudo Label Generation by Hierarchical Cluster Dynamics for Adaptive Person Re-identification. ICCV 2021: 8351-8361 - [c92]Zuhao Ge, Yuhui Li, Cheng Liang, Youyi Song, Teng Zhou, Jing Qin:
Acsnet: Adaptive Cross-Scale Network with Feature Maps Refusion for Vehicle Density Detection. ICME 2021: 1-6 - [c91]Sen Deng, Yidan Feng, Mingqiang Wei, Haoran Xie, Yiping Chen, Jonathan Li, Xiao-Ping Zhang, Jing Qin:
Direction-aware Feature-level Frequency Decomposition for Single Image Deraining. IJCAI 2021: 650-656 - [c90]Chao Ye, Huaidong Zhang, Xuemiao Xu, Weiwei Cai, Jing Qin, Kup-Sze Choi:
Object Detection in Densely Packed Scenes via Semi-Supervised Learning with Dual Consistency. IJCAI 2021: 1245-1251 - [c89]Xueying Shi, Yueming Jin, Qi Dou, Jing Qin, Pheng-Ann Heng:
Domain Adaptive Robotic Gesture Recognition with Unsupervised Kinematic-Visual Data Alignment. IROS 2021: 9453-9460 - [c88]Jiacheng Wang, Lan Wei, Liansheng Wang, Qichao Zhou, Lei Zhu, Jing Qin:
Boundary-Aware Transformers for Skin Lesion Segmentation. MICCAI (1) 2021: 206-216 - [c87]Jiacheng Wang, Yueming Jin, Liansheng Wang, Shuntian Cai, Pheng-Ann Heng, Jing Qin:
Efficient Global-Local Memory for Real-Time Instrument Segmentation of Robotic Surgical Video. MICCAI (4) 2021: 341-351 - [c86]Youyi Song, Lequan Yu, Baiying Lei, Kup-Sze Choi, Jing Qin:
Selective Learning from External Data for CT Image Segmentation. MICCAI (1) 2021: 420-430 - [c85]Canfeng Lin, Huisi Wu, Zhenkun Wen, Jing Qin:
Automated Malaria Cells Detection from Blood Smears Under Severe Class Imbalance via Importance-Aware Balanced Group Softmax. MICCAI (8) 2021: 455-465 - [c84]Peng Wan, Chunrui Liu, Fang Chen, Jing Qin, Daoqiang Zhang:
Identifying Quantitative and Explanatory Tumor Indexes from Dynamic Contrast Enhanced Ultrasound. MICCAI (8) 2021: 638-647 - [c83]Ye Liu, Lei Zhu, Shunda Pei, Huazhu Fu, Jing Qin, Qing Zhang, Liang Wan, Wei Feng:
From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data. ACM Multimedia 2021: 50-58 - [c82]Lan Cheng, Jing Qin:
Rethinking Educational Excellence with the Digital Transformation: A New Perspective on Developing Tech-driven Virtual Mentoring Platform for Unfinished Learning amid Covid-19. TALE 2021: 1017-1022 - [i34]Xueying Shi, Yueming Jin, Qi Dou, Jing Qin, Pheng-Ann Heng:
Domain Adaptive Robotic Gesture Recognition with Unsupervised Kinematic-Visual Data Alignment. CoRR abs/2103.04075 (2021) - [i33]Quande Liu, Cheng Chen, Jing Qin, Qi Dou, Pheng-Ann Heng:
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space. CoRR abs/2103.06030 (2021) - [i32]Zhihao Chen, Liang Wan, Lei Zhu, Jia Shen, Huazhu Fu, Wennan Liu, Jing Qin:
Triple-cooperative Video Shadow Detection. CoRR abs/2103.06533 (2021) - [i31]Sen Deng, Yidan Feng, Mingqiang Wei, Haoran Xie, Yiping Chen, Jonathan Li, Xiao-Ping Zhang, Jing Qin:
Direction-aware Feature-level Frequency Decomposition for Single Image Deraining. CoRR abs/2106.07941 (2021) - [i30]Ye Liu, Lei Zhu, Shunda Pei, Huazhu Fu, Jing Qin, Qing Zhang, Liang Wan, Wei Feng:
From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data. CoRR abs/2108.02934 (2021) - [i29]Yongtuo Liu, Sucheng Ren, Liangyu Chai, Hanjie Wu, Jing Qin, Dan Xu, Shengfeng He:
Reducing Spatial Labeling Redundancy for Semi-supervised Crowd Counting. CoRR abs/2108.02970 (2021) - [i28]Haoran Zhou, Yidan Feng, Mingsheng Fang, Mingqiang Wei, Jing Qin, Tong Lu:
Adaptive Graph Convolution for Point Cloud Analysis. CoRR abs/2108.08035 (2021) - [i27]Jiacheng Wang, Yueming Jin, Liansheng Wang, Shuntian Cai, Pheng-Ann Heng, Jing Qin:
Efficient Global-Local Memory for Real-time Instrument Segmentation of Robotic Surgical Video. CoRR abs/2109.13593 (2021) - [i26]Jiacheng Wang, Lan Wei, Liansheng Wang, Qichao Zhou, Lei Zhu, Jing Qin:
Boundary-aware Transformers for Skin Lesion Segmentation. CoRR abs/2110.03864 (2021) - [i25]Jiacheng Wang, Yueming Jin, Shuntian Cai, Hongzhi Xu, Pheng-Ann Heng, Jing Qin, Liansheng Wang:
Real-time landmark detection for precise endoscopic submucosal dissection via shape-aware relation network. CoRR abs/2111.04733 (2021) - [i24]Jiacheng Wang, Xiaomeng Li, Yiming Han, Jing Qin, Liansheng Wang, Qichao Zhou:
Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation. CoRR abs/2112.02743 (2021) - 2020
- [j115]Weihong Cai, Junjie Yang, Yidan Yu, Youyi Song, Teng Zhou, Jing Qin:
PSO-ELM: A Hybrid Learning Model for Short-Term Traffic Flow Forecasting. IEEE Access 8: 6505-6514 (2020) - [j114]Yinjie Tan, Qiang Wen, Jing Qin, Jianbo Jiao, Guoqiang Han, Shengfeng He:
Coupled Rain Streak and Background Estimation via Separable Element-Wise Attention. IEEE Access 8: 16627-16636 (2020) - [j113]Jiajun Wang, Zixin Xie, Yan Li, Youyi Song, Jingwen Yan, Weihua Bai, Teng Zhou, Jing Qin:
Relationship Between Health Status and Physical Fitness of College Students From South China: An Empirical Study by Data Mining Approach. IEEE Access 8: 67466-67473 (2020) - [j112]Chufeng Xiao, Chu Han, Zhuming Zhang, Jing Qin, Tien-Tsin Wong, Guoqiang Han, Shengfeng He:
Example-Based Colourization Via Dense Encoding Pyramids. Comput. Graph. Forum 39(1): 20-33 (2020) - [j111]Anam Nazir, Muhammad Nadeem Cheema, Bin Sheng, Ping Li, Huating Li, Po Yang, Younhyun Jung, Jing Qin, David Dagan Feng:
SPST-CNN: Spatial pyramid based searching and tagging of liver's intraoperative live views via CNN for minimal invasive surgery. J. Biomed. Informatics 106: 103430 (2020) - [j110]Yueming Jin, Huaxia Li, Qi Dou, Hao Chen, Jing Qin, Chi-Wing Fu, Pheng-Ann Heng:
Multi-task recurrent convolutional network with correlation loss for surgical video analysis. Medical Image Anal. 59 (2020) - [j109]Baiying Lei, Yujia Zhao, Zhongwei Huang, Xiaoke Hao, Feng Zhou, Ahmed Elazab, Jing Qin, Haijun Lei:
Adaptive sparse learning using multi-template for neurodegenerative disease diagnosis. Medical Image Anal. 61: 101632 (2020) - [j108]Yaxin Shen, Bin Sheng, Ruogu Fang, Huating Li, Ling Dai, Skylar E. Stolte, Jing Qin, Weiping Jia, Dinggang Shen:
Domain-invariant interpretable fundus image quality assessment. Medical Image Anal. 61: 101654 (2020) - [j107]Canrui Wu, Chen Wang, Yipeng Zhou, Di Wu, Min Chen, Jessie Hui Wang, Jing Qin:
Exploiting user reviews for automatic movie tagging. Multim. Tools Appl. 79(17-18): 11399-11419 (2020) - [j106]Xiaowei Hu, Chi-Wing Fu, Lei Zhu, Jing Qin, Pheng-Ann Heng:
Direction-Aware Spatial Context Features for Shadow Detection and Removal. IEEE Trans. Pattern Anal. Mach. Intell. 42(11): 2795-2808 (2020) - [j105]Lei Zhu, Jiaxing Chen, Xiaowei Hu, Chi-Wing Fu, Xuemiao Xu, Jing Qin, Pheng-Ann Heng:
Aggregating Attentional Dilated Features for Salient Object Detection. IEEE Trans. Circuits Syst. Video Technol. 30(10): 3358-3371 (2020) - [j104]Miaohui Wang, Wuyuan Xie, Jia Zhang, Jing Qin:
Industrial Applications of Ultrahigh Definition Video Coding With an Optimized Supersample Adaptive Offset Framework. IEEE Trans. Ind. Informatics 16(12): 7613-7623 (2020) - [j103]Yongtuo Liu, Qiang Wen, Haoxin Chen, Wenxi Liu, Jing Qin, Guoqiang Han, Shengfeng He:
Crowd Counting Via Cross-Stage Refinement Networks. IEEE Trans. Image Process. 29: 6800-6812 (2020) - [j102]Anam Nazir, Muhammad Nadeem Cheema, Bin Sheng, Huating Li, Ping Li, Po Yang, Younhyun Jung, Jing Qin, Jinman Kim, David Dagan Feng:
OFF-eNET: An Optimally Fused Fully End-to-End Network for Automatic Dense Volumetric 3D Intracranial Blood Vessels Segmentation. IEEE Trans. Image Process. 29: 7192-7202 (2020) - [j101]Bo Wang, Yiliang Chen, Wenxi Liu, Jing Qin, Yong Du, Guoqiang Han, Shengfeng He:
Real-Time Hierarchical Supervoxel Segmentation via a Minimum Spanning Tree. IEEE Trans. Image Process. 29: 9665-9677 (2020) - [j100]Lihao Liu, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
Multi-Task Deep Model With Margin Ranking Loss for Lung Nodule Analysis. IEEE Trans. Medical Imaging 39(3): 718-728 (2020) - [j99]Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation. IEEE Trans. Medical Imaging 39(7): 2494-2505 (2020) - [j98]Lihao Liu, Xiaowei Hu, Lei Zhu, Chi-Wing Fu, Jing Qin, Pheng-Ann Heng:
ψ-Net: Stacking Densely Convolutional LSTMs for Sub-Cortical Brain Structure Segmentation. IEEE Trans. Medical Imaging 39(9): 2806-2817 (2020) - [j97]Miaohui Wang, Jian Xiong, Long Xu, Wuyuan Xie, King Ngi Ngan, Jing Qin:
Rate Constrained Multiple-QP Optimization for HEVC. IEEE Trans. Multim. 22(6): 1395-1406 (2020) - [j96]Huaidong Zhang, Xuemiao Xu, Hai He, Shengfeng He, Guoqiang Han, Jing Qin, Dapeng Wu:
Fast User-Guided Single Image Reflection Removal via Edge-Aware Cascaded Networks. IEEE Trans. Multim. 22(8): 2012-2023 (2020) - [j95]Shengfeng He, Chu Han, Guoqiang Han, Jing Qin:
Exploring Duality in Visual Question-Driven Top-Down Saliency. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2672-2679 (2020) - [j94]Fei Chen, Fengming Meng, Tao Xiang, Hua Dai, Jianqiang Li, Jing Qin:
Towards Usable Cloud Storage Auditing. IEEE Trans. Parallel Distributed Syst. 31(11): 2605-2617 (2020) - [j93]Badong Chen, Yuanhao Li, Jiyao Dong, Na Lu, Jing Qin:
Common Spatial Patterns Based on the Quantized Minimum Error Entropy Criterion. IEEE Trans. Syst. Man Cybern. Syst. 50(11): 4557-4568 (2020) - [j92]Yicong He, Fei Wang, Yingsong Li, Jing Qin, Badong Chen:
Robust Matrix Completion via Maximum Correntropy Criterion and Half-Quadratic Optimization. IEEE Trans. Signal Process. 68: 181-195 (2020) - [j91]Lei Zhu, Xiaowei Hu, Chi-Wing Fu, Jing Qin, Pheng-Ann Heng:
Saliency-Aware Texture Smoothing. IEEE Trans. Vis. Comput. Graph. 26(7): 2471-2484 (2020) - [c81]Haoran Zhou, Honghua Chen, Yidan Feng, Qiong Wang, Jing Qin, Haoran Xie, Fu Lee Wang, Mingqiang Wei, Jun Wang:
Geometry and Learning Co-Supported Normal Estimation for Unstructured Point Cloud. CVPR 2020: 13235-13244 - [c80]Youyi Song, Zhen Yu, Teng Zhou, Jeremy Yuen-Chun Teoh, Baiying Lei, Kup-Sze Choi, Jing Qin:
CNN in CT Image Segmentation: Beyond Loss Function for Exploiting Ground Truth Images. ISBI 2020: 325-328 - [c79]Youyi Song, Zhen Yu, Teng Zhou, Jeremy Yuen-Chun Teoh, Baiying Lei, Kup-Sze Choi, Jing Qin:
Learning 3D Features with 2D CNNs via Surface Projection for CT Volume Segmentation. MICCAI (4) 2020: 176-186 - [c78]Zhuoying Li, Junquan Pan, Huisi Wu, Zhenkun Wen, Jing Qin:
Memory-Efficient Automatic Kidney and Tumor Segmentation Based on Non-local Context Guided 3D U-Net. MICCAI (4) 2020: 197-206 - [c77]Jiafu Zhong, Wei Wang, Huisi Wu, Zhenkun Wen, Jing Qin:
PolypSeg: An Efficient Context-Aware Network for Polyp Segmentation from Colonoscopy Videos. MICCAI (6) 2020: 285-294 - [c76]Youyi Song, Teng Zhou, Jeremy Yuen-Chun Teoh, Jing Zhang, Jing Qin:
Unsupervised Learning for CT Image Segmentation via Adversarial Redrawing. MICCAI (4) 2020: 309-320 - [c75]Wenlong Hang, Wei Feng, Shuang Liang, Lequan Yu, Qiong Wang, Kup-Sze Choi, Jing Qin:
Local and Global Structure-Aware Entropy Regularized Mean Teacher Model for 3D Left Atrium Segmentation. MICCAI (1) 2020: 562-571 - [c74]Youyi Song, Lei Zhu, Baiying Lei, Bin Sheng, Qi Dou, Jing Qin, Kup-Sze Choi:
Shape Mask Generator: Learning to Refine Shape Priors for Segmenting Overlapping Cervical Cytoplasms. MICCAI (4) 2020: 639-649 - [c73]Wei Wang, Jiafu Zhong, Huisi Wu, Zhenkun Wen, Jing Qin:
RVSeg-Net: An Efficient Feature Pyramid Cascade Network for Retinal Vessel Segmentation. MICCAI (5) 2020: 796-805 - [i23]Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation. CoRR abs/2002.02255 (2020) - [i22]Cheng Chen, Qi Dou, Yueming Jin, Hao Chen, Jing Qin, Pheng-Ann Heng:
Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion. CoRR abs/2002.09708 (2020) - [i21]Youyi Song, Zhen Yu, Teng Zhou, Jeremy Yuen-Chun Teoh, Baiying Lei, Kup-Sze Choi, Jing Qin:
CNN in CT Image Segmentation: Beyound Loss Function for Expoliting Ground Truth Images. CoRR abs/2004.03882 (2020) - [i20]Youyi Song, Lei Zhu, Baiying Lei, Bin Sheng, Qi Dou, Jing Qin, Kup-Sze Choi:
Constrained Multi-shape Evolution for Overlapping Cytoplasm Segmentation. CoRR abs/2004.03892 (2020) - [i19]Yiyang Shen, Yidan Feng, Sen Deng, Dong Liang, Jing Qin, Haoran Xie, Mingqiang Wei:
MBA-RainGAN: Multi-branch Attention Generative Adversarial Network for Mixture of Rain Removal from Single Images. CoRR abs/2005.10582 (2020)
2010 – 2019
- 2019
- [j90]Yan Zhou, Zhanpeng Wu, Yipeng Zhou, Miao Hu, Chunfeng Yang, Jing Qin:
Exploring Popularity Predictability of Online Videos With Fourier Transform. IEEE Access 7: 41823-41834 (2019) - [j89]Miaohui Wang, Wuyuan Xie, Jian Xiong, Dayong Wang, Jing Qin:
Joint Optimization of Transform and Quantization for High Efficiency Video Coding. IEEE Access 7: 62534-62544 (2019) - [j88]Jun Wang, Jin Huang, Fu Lee Wang, Mingqiang Wei, Haoran Xie, Jing Qin:
Data-driven Geometry-recovering Mesh Denoising. Comput. Aided Des. 114: 133-142 (2019) - [j87]Honghua Chen, Jin Huang, Oussama Remil, Haoran Xie, Jing Qin, Yanwen Guo, Mingqiang Wei, Jun Wang:
Structure-guided shape-preserving mesh texture smoothing via joint low-rank matrix recovery. Comput. Aided Des. 115: 122-134 (2019) - [j86]Guanglong Du, Corrado Guarino Lo Bianco, Jing Qin:
Introduction to the Special Section on Human-Computer Interaction and Robotics. Comput. Electr. Eng. 77: 412-413 (2019) - [j85]Mingqiang Wei, X. Guo, J. Huang, Haoran Xie, Hua Zong, R. Kwan, Fu Lee Wang, Jing Qin:
Mesh Defiltering via Cascaded Geometry Recovery. Comput. Graph. Forum 38(7): 591-605 (2019) - [j84]Yangxing Sun, Honghua Chen, Jing Qin, Hongwei Li, Mingqiang Wei, Hua Zong:
Reliable Rolling-guided Point Normal Filtering for Surface Texture Removal. Comput. Graph. Forum 38(7): 721-732 (2019) - [j83]Yiliang Chen, Shengfeng He, Zichang Tan, Chu Han, Guoqiang Han, Jing Qin:
Age estimation via attribute-region association. Neurocomputing 367: 346-356 (2019) - [j82]Teng Zhou, Guoqiang Han, Xuemiao Xu, Chu Han, Yuchang Huang, Jing Qin:
A Learning-Based Multimodel Integrated Framework for Dynamic Traffic Flow Forecasting. Neural Process. Lett. 49(1): 407-430 (2019) - [j81]Badong Chen, Rongjin Ma, Si-yu Yu, Shaoyi Du, Jing Qin:
Granger Causality Analysis Based on Quantized Minimum Error Entropy Criterion. IEEE Signal Process. Lett. 26(2): 347-351 (2019) - [j80]Zhen Yu, Xudong Jiang, Feng Zhou, Jing Qin, Dong Ni, Siping Chen, Baiying Lei, Tianfu Wang:
Melanoma Recognition in Dermoscopy Images via Aggregated Deep Convolutional Features. IEEE Trans. Biomed. Eng. 66(4): 1006-1016 (2019) - [j79]Muhammad Nadeem Cheema, Anam Nazir, Bin Sheng, Ping Li, Jing Qin, Jinman Kim, David Dagan Feng:
Image-Aligned Dynamic Liver Reconstruction Using Intra-Operative Field of Views for Minimal Invasive Surgery. IEEE Trans. Biomed. Eng. 66(8): 2163-2173 (2019) - [j78]Muhammad Nadeem Cheema, Anam Nazir, Bin Sheng, Ping Li, Jing Qin, David Dagan Feng:
Liver Extraction Using Residual Convolution Neural Networks From Low-Dose CT Images. IEEE Trans. Biomed. Eng. 66(9): 2641-2650 (2019) - [j77]Nan Zhou, Hong Cheng, Jing Qin, Yuanhua Du, Badong Chen:
Robust High-Order Manifold Constrained Sparse Principal Component Analysis for Image Representation. IEEE Trans. Circuits Syst. Video Technol. 29(7): 1946-1961 (2019) - [j76]Bin Sheng, Ping Li, Shuangjia Mo, Huating Li, Xuhong Hou, Qiang Wu, Jing Qin, Ruogu Fang, David Dagan Feng:
Retinal Vessel Segmentation Using Minimum Spanning Superpixel Tree Detector. IEEE Trans. Cybern. 49(7): 2707-2719 (2019) - [j75]Haijun Lei, Zhongwei Huang, Feng Zhou, Ahmed El-Azab, Ee-Leng Tan, Hancong Li, Jing Qin, Baiying Lei:
Parkinson's Disease Diagnosis via Joint Learning From Multiple Modalities and Relations. IEEE J. Biomed. Health Informatics 23(4): 1437-1449 (2019) - [j74]Xiaowei Hu, Xuemiao Xu, Yongjie Xiao, Hao Chen, Shengfeng He, Jing Qin, Pheng-Ann Heng:
SINet: A Scale-Insensitive Convolutional Neural Network for Fast Vehicle Detection. IEEE Trans. Intell. Transp. Syst. 20(3): 1010-1019 (2019) - [j73]Xin Yang, Lequan Yu, Shengli Li, Huaxuan Wen, Dandan Luo, Cheng Bian, Jing Qin, Dong Ni, Pheng-Ann Heng:
Towards Automated Semantic Segmentation in Prenatal Volumetric Ultrasound. IEEE Trans. Medical Imaging 38(1): 180-193 (2019) - [j72]Yi Wang, Dong Ni, Haoran Dou, Xiaowei Hu, Lei Zhu, Xin Yang, Ming Xu, Jing Qin, Pheng-Ann Heng, Tianfu Wang:
Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound. IEEE Trans. Medical Imaging 38(12): 2768-2778 (2019) - [j71]Youyi Song, Lei Zhu, Jing Qin, Baiying Lei, Bin Sheng, Kup-Sze Choi:
Segmentation of Overlapping Cytoplasm in Cervical Smear Images via Adaptive Shape Priors Extracted From Contour Fragments. IEEE Trans. Medical Imaging 38(12): 2849-2862 (2019) - [j70]Mingqiang Wei, Yang Tian, Wai-Man Pang, Charlie C. L. Wang, Ming-Yong Pang, Jun Wang, Jing Qin, Pheng-Ann Heng:
Bas-Relief Modeling from Normal Layers. IEEE Trans. Vis. Comput. Graph. 25(4): 1651-1665 (2019) - [j69]Mingqiang Wei, Jin Huang, Xingyu Xie, Ligang Liu, Jun Wang, Jing Qin:
Mesh Denoising Guided by Patch Normal Co-Filtering via Kernel Low-Rank Recovery. IEEE Trans. Vis. Comput. Graph. 25(10): 2910-2926 (2019) - [c72]Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation. AAAI 2019: 865-872 - [c71]Qiang Wen, Yinjie Tan, Jing Qin, Wenxi Liu, Guoqiang Han, Shengfeng He:
Single Image Reflection Removal Beyond Linearity. CVPR 2019: 3771-3779 - [c70]Wuyuan Xie, Miaohui Wang, Mingqiang Wei, Jianmin Jiang, Jing Qin:
Surface Reconstruction From Normals: A Robust DGP-Based Discontinuity Preservation Approach. CVPR 2019: 5328-5336 - [c69]Zijun Deng, Lei Zhu, Xiaowei Hu, Chi-Wing Fu, Xuemiao Xu, Qing Zhang, Jing Qin, Pheng-Ann Heng:
Deep Multi-Model Fusion for Single-Image Dehazing. ICCV 2019: 2453-2462 - [c68]Zhanpeng Wu, Yan Zhou, Di Wu, Yipeng Zhou, Jing Qin:
Crowdsourced Time-Sync Video Recommendation via Semantic-Aware Neural Collaborative Filtering. ICWE 2019: 171-186 - [c67]Youyi Song, Jing Qin, Baiying Lei, Shengfeng He, Kup-Sze Choi:
JOint Shape Matching for Overlapping Cytoplasm Segmentation in Cervical Smear Images. ISBI 2019: 191-194 - [c66]Feng Jiang, Feng Zhou, Jing Qin, Tianfu Wang, Baiying Lei:
Decision-Augmented Generative Adversarial Network for Skin Lesion Segmentation. ISBI 2019: 447-450 - [c65]Hang Li, Jie-Zhi Cheng, Yi-Hong Chou, Jing Qin, Shan Huang, Baiying Lei:
AttentionNet: Learning Where to Focus via Attention Mechanism for Anatomical Segmentation of Whole Breast Ultrasound Images. ISBI 2019: 1078-1081 - [c64]Siyuan Pan, Xuhong Hou, Huating Li, Bin Sheng, Ruogu Fang, Yuxin Xue, Weiping Jia, Jing Qin:
Abdominal Adipose Tissue Segmentation in MRI with Double Loss Function Collaborative Learning. MICCAI (6) 2019: 41-49 - [c63]Ge Ren, Wai Yin Ho, Jing Qin, Jing Cai:
Deriving Lung Perfusion Directly from CT Image Using Deep Convolutional Neural Network: A Preliminary Study. AIRT@MICCAI 2019: 102-109 - [c62]Cheng Chen, Qi Dou, Yueming Jin, Hao Chen, Jing Qin, Pheng-Ann Heng:
Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion. MICCAI (3) 2019: 447-456 - [c61]Xueying Shi, Qi Dou, Cheng Xue, Jing Qin, Hao Chen, Pheng-Ann Heng:
An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis. MLMI@MICCAI 2019: 628-636 - [c60]Shuangyi Zhang, Youyi Song, Dazhi Jiang, Teng Zhou, Jing Qin:
Noise-Identified Kalman Filter for Short-Term Traffic Flow Forecasting. MSN 2019: 462-466 - [i18]Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation. CoRR abs/1901.08211 (2019) - [i17]Yicong He, Fei Wang, Yingsong Li, Jing Qin, Badong Chen:
Robust Matrix Completion via Maximum Correntropy Criterion and Half Quadratic Optimization. CoRR abs/1903.06055 (2019) - [i16]Badong Chen, Xin Wang, Zejian Yuan, Pengju Ren, Jing Qin:
Multi-Kernel Correntropy for Robust Learning. CoRR abs/1905.10115 (2019) - [i15]Yi Wang, Haoran Dou, Xiaowei Hu, Lei Zhu, Xin Yang, Ming Xu, Jing Qin, Pheng-Ann Heng, Tianfu Wang, Dong Ni:
Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound. CoRR abs/1907.01743 (2019) - [i14]Yueming Jin, Huaxia Li, Qi Dou, Hao Chen, Jing Qin, Chi-Wing Fu, Pheng-Ann Heng:
Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis. CoRR abs/1907.06099 (2019) - [i13]Luming Liang, Sen Deng, Lionel Gueguen, Mingqiang Wei, Xinming Wu, Jing Qin:
Convolutional Neural Network with Median Layers for Denoising Salt-and-Pepper Contaminations. CoRR abs/1908.06452 (2019) - [i12]Xueying Shi, Qi Dou, Cheng Xue, Jing Qin, Hao Chen, Pheng-Ann Heng:
An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis. CoRR abs/1909.02344 (2019) - 2018
- [j68]Mingqiang Wei, Qiong Wang, Yichen Li, Wai-Man Pang, Luming Liang, Jun Wang, Kelvin Kian Loong Wong, Derek Abbott, Jing Qin, Jianhuang Wu:
Centerline Extraction of Vasculature Mesh. IEEE Access 6: 10257-10268 (2018) - [j67]Xinyu Xiong, Fei Chen, Peizhi Huang, Miaomiao Tian, Xiaofang Hu, Badong Chen, Jing Qin:
Frequent Itemsets Mining With Differential Privacy Over Large-Scale Data. IEEE Access 6: 28877-28889 (2018) - [j66]Qingqing Zheng, Fengyuan Zhu, Jing Qin, Pheng-Ann Heng:
Multiclass support matrix machine for single trial EEG classification. Neurocomputing 275: 869-880 (2018) - [j65]Lei Zhu, Weiming Wang, Xiaomeng Li, Qiong Wang, Jing Qin, Kin Hong Wong, Kup-Sze Choi, Chi-Wing Fu, Pheng-Ann Heng:
Feature-preserving ultrasound speckle reduction via L0 minimization. Neurocomputing 294: 48-60 (2018) - [j64]Anum Masood, Bin Sheng, Ping Li, Xuhong Hou, Xiaoer Wei, Jing Qin, Dagan Feng:
Computer-Assisted Decision Support System in Pulmonary Cancer detection and stage classification on CT images. J. Biomed. Informatics 79: 117-128 (2018) - [j63]Laizhong Cui, Shu Yang, Fei Chen, Zhong Ming, Nan Lu, Jing Qin:
A survey on application of machine learning for Internet of Things. Int. J. Mach. Learn. Cybern. 9(8): 1399-1417 (2018) - [j62]Hao Chen, Qi Dou, Lequan Yu, Jing Qin, Pheng-Ann Heng:
VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images. NeuroImage 170: 446-455 (2018) - [j61]Qingqing Zheng, Fengyuan Zhu, Jing Qin, Badong Chen, Pheng-Ann Heng:
Sparse Support Matrix Machine. Pattern Recognit. 76: 715-726 (2018) - [j60]Haijun Lei, Tao Han, Feng Zhou, Zhen Yu, Jing Qin, Ahmed El-Azab, Baiying Lei:
A deeply supervised residual network for HEp-2 cell classification via cross-modal transfer learning. Pattern Recognit. 79: 290-302 (2018) - [j59]Badong Chen, Xin Wang, Na Lu, Shiyuan Wang, Jiuwen Cao, Jing Qin:
Mixture correntropy for robust learning. Pattern Recognit. 79: 318-327 (2018) - [j58]Badong Chen, Lei Xing, Xin Wang, Jing Qin, Nanning Zheng:
Robust Learning With Kernel Mean p-Power Error Loss. IEEE Trans. Cybern. 48(7): 2101-2113 (2018) - [j57]Fei Chen, Donghong Wang, Ronghua Li, Jianyong Chen, Zhong Ming, Alex X. Liu, Huayi Duan, Cong Wang, Jing Qin:
Secure Hashing-Based Verifiable Pattern Matching. IEEE Trans. Inf. Forensics Secur. 13(11): 2677-2690 (2018) - [j56]Jing Li, Yi Wang, Baiying Lei, Jie-Zhi Cheng, Jing Qin, Tianfu Wang, Shengli Li, Dong Ni:
Automatic Fetal Head Circumference Measurement in Ultrasound Using Random Forest and Fast Ellipse Fitting. IEEE J. Biomed. Health Informatics 22(1): 215-223 (2018) - [j55]Zhen Yu, Ee-Leng Tan, Dong Ni, Jing Qin, Siping Chen, Shengli Li, Baiying Lei, Tianfu Wang:
A Deep Convolutional Neural Network-Based Framework for Automatic Fetal Facial Standard Plane Recognition. IEEE J. Biomed. Health Informatics 22(3): 874-885 (2018) - [j54]Yueming Jin, Qi Dou, Hao Chen, Lequan Yu, Jing Qin, Chi-Wing Fu, Pheng-Ann Heng:
SV-RCNet: Workflow Recognition From Surgical Videos Using Recurrent Convolutional Network. IEEE Trans. Medical Imaging 37(5): 1114-1126 (2018) - [j53]Weixin Si, Jing Qin, Zhuchao Chen, Xiangyun Liao, Qiong Wang, Pheng-Ann Heng:
Thin-Feature-Aware Transport-Velocity Formulation for SPH-Based Liquid Animation. IEEE Trans. Multim. 20(11): 3033-3044 (2018) - [j52]Xiangyun Liao, Weixin Si, Zhiyong Yuan, Hanqiu Sun, Jing Qin, Qiong Wang, Pheng-Ann Heng:
Animating Wall-Bounded Turbulent Smoke via Filament-Mesh Particle-Particle Method. IEEE Trans. Vis. Comput. Graph. 24(3): 1260-1273 (2018) - [c59]Youyi Song, Jing Qin, Baiying Lei, Kup-Sze Choi:
Automated Segmentation of Overlapping Cytoplasm in Cervical Smear Images via Contour Fragments. AAAI 2018: 168-175 - [c58]Yanning Zhou, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
SFCN-OPI: Detection and Fine-Grained Classification of Nuclei Using Sibling FCN With Objectness Prior Interaction. AAAI 2018: 2652-2659 - [c57]Xiaowei Hu, Lei Zhu, Jing Qin, Chi-Wing Fu, Pheng-Ann Heng:
Recurrently Aggregating Deep Features for Salient Object Detection. AAAI 2018: 6943-6950 - [c56]Fuyang Huang, Ailing Zeng, Minhao Liu, Jing Qin, Qiang Xu:
Structure-Aware 3D Hourglass Network for Hand Pose Estimation from Single Depth Image. BMVC 2018: 289 - [c55]Xiaowei Hu, Lei Zhu, Chi-Wing Fu, Jing Qin, Pheng-Ann Heng:
Direction-Aware Spatial Context Features for Shadow Detection. CVPR 2018: 7454-7462 - [c54]Lei Zhu, Zijun Deng, Xiaowei Hu, Chi-Wing Fu, Xuemiao Xu, Jing Qin, Pheng-Ann Heng:
Bidirectional Feature Pyramid Network with Recurrent Attention Residual Modules for Shadow Detection. ECCV (6) 2018: 122-137 - [c53]Zijun Deng, Xiaowei Hu, Lei Zhu, Xuemiao Xu, Jing Qin, Guoqiang Han, Pheng-Ann Heng:
R³Net: Recurrent Residual Refinement Network for Saliency Detection. IJCAI 2018: 684-690 - [c52]Yaxin Shen, Ruogu Fang, Bin Sheng, Ling Dai, Huating Li, Jing Qin, Qiang Wu, Weiping Jia:
Multi-task Fundus Image Quality Assessment via Transfer Learning and Landmarks Detection. MLMI@MICCAI 2018: 28-36 - [c51]Lihao Liu, Qi Dou, Hao Chen, Iyiola E. Olatunji, Jing Qin, Pheng-Ann Heng:
MTMR-Net: Multi-task Deep Learning with Margin Ranking Loss for Lung Nodule Analysis. DLMIA/ML-CDS@MICCAI 2018: 74-82 - [c50]Huangjing Lin, Hao Chen, Qi Dou, Liansheng Wang, Jing Qin, Pheng-Ann Heng:
ScanNet: A Fast and Dense Scanning Framework for Metastastic Breast Cancer Detection from Whole-Slide Image. WACV 2018: 539-546 - [i11]Xiaowei Hu, Xuemiao Xu, Yongjie Xiao, Hao Chen, Shengfeng He, Jing Qin, Pheng-Ann Heng:
SINet: A Scale-insensitive Convolutional Neural Network for Fast Vehicle Detection. CoRR abs/1804.00433 (2018) - [i10]Xiaowei Hu, Chi-Wing Fu, Lei Zhu, Jing Qin, Pheng-Ann Heng:
Direction-aware Spatial Context Features for Shadow Detection and Removal. CoRR abs/1805.04635 (2018) - [i9]Fuyang Huang, Ailing Zeng, Minhao Liu, Jing Qin, Qiang Xu:
Structure-Aware 3D Hourglass Network for Hand Pose Estimation from Single Depth Image. CoRR abs/1812.10320 (2018) - 2017
- [j51]Xi Liu, Badong Chen, Haiquan Zhao, Jing Qin, Jiuwen Cao:
Maximum Correntropy Kalman Filter With State Constraints. IEEE Access 5: 25846-25853 (2017) - [j50]Teng Zhou, Guoqiang Han, Bing Nan Li, Zhizhe Lin, Edward J. Ciaccio, Peter H. R. Green, Jing Qin:
Quantitative analysis of patients with celiac disease by video capsule endoscopy: A deep learning method. Comput. Biol. Medicine 85: 1-6 (2017) - [j49]Teng Zhou, Guoqiang Han, Xuemiao Xu, Zhizhe Lin, Chu Han, Yuchang Huang, Jing Qin:
δ-agree AdaBoost stacked autoencoder for short-term traffic flow forecasting. Neurocomputing 247: 31-38 (2017) - [j48]Hao Chen, Xiaojuan Qi, Lequan Yu, Qi Dou, Jing Qin, Pheng-Ann Heng:
DCAN: Deep contour-aware networks for object instance segmentation from histology images. Medical Image Anal. 36: 135-146 (2017) - [j47]Qi Dou, Lequan Yu, Hao Chen, Yueming Jin, Xin Yang, Jing Qin, Pheng-Ann Heng:
3D deeply supervised network for automated segmentation of volumetric medical images. Medical Image Anal. 41: 40-54 (2017) - [j46]Bai Ying Lei, Wanjun Li, Yuan Yao, Xudong Jiang, Ee-Leng Tan, Jing Qin, Siping Chen, Dong Ni, Tianfu Wang:
Multi-modal and multi-layout discriminative learning for placental maturity staging. Pattern Recognit. 63: 719-730 (2017) - [j45]Lei Zhu, Weiming Wang, Jing Qin, Kin Hong Wong, Kup-Sze Choi, Pheng-Ann Heng:
Fast feature-preserving speckle reduction for ultrasound images via phase congruency. Signal Process. 134: 275-284 (2017) - [j44]Qi Dou, Hao Chen, Lequan Yu, Jing Qin, Pheng-Ann Heng:
Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection. IEEE Trans. Biomed. Eng. 64(7): 1558-1567 (2017) - [j43]Hao Chen, Lingyun Wu, Qi Dou, Jing Qin, Shengli Li, Jie-Zhi Cheng, Dong Ni, Pheng-Ann Heng:
Ultrasound Standard Plane Detection Using a Composite Neural Network Framework. IEEE Trans. Cybern. 47(6): 1576-1586 (2017) - [j42]Lequan Yu, Hao Chen, Qi Dou, Jing Qin, Pheng-Ann Heng:
Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos. IEEE J. Biomed. Health Informatics 21(1): 65-75 (2017) - [j41]Sihong Chen, Jing Qin, Xing Ji, Bai Ying Lei, Tianfu Wang, Dong Ni, Jie-Zhi Cheng:
Automatic Scoring of Multiple Semantic Attributes With Multi-Task Feature Leverage: A Study on Pulmonary Nodules in CT Images. IEEE Trans. Medical Imaging 36(3): 802-814 (2017) - [j40]Lequan Yu, Hao Chen, Qi Dou, Jing Qin, Pheng-Ann Heng:
Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks. IEEE Trans. Medical Imaging 36(4): 994-1004 (2017) - [j39]Xuemiao Xu, Linyuan Zhong, Minshan Xie, Xueting Liu, Jing Qin, Tien-Tsin Wong:
ASCII Art Synthesis from Natural Photographs. IEEE Trans. Vis. Comput. Graph. 23(8): 1910-1923 (2017) - [c49]Lequan Yu, Xin Yang, Hao Chen, Jing Qin, Pheng-Ann Heng:
Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR Images. AAAI 2017: 66-72 - [c48]Xin Yang, Lequan Yu, Lingyun Wu, Yi Wang, Dong Ni, Jing Qin, Pheng-Ann Heng:
Fine-Grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images. AAAI 2017: 1633-1639 - [c47]Zhen Yu, Dong Ni, Siping Chen, Jing Qin, Shengli Li, Tianfu Wang, Bai Ying Lei:
Hybrid dermoscopy image classification framework based on deep convolutional neural network and Fisher vector. ISBI 2017: 301-304 - [c46]Xiaolu Liu, Shuang Liang, Wenlong Hang, Baiying Lei, Qiong Wang, Jing Qin, Kup-Sze Choi:
Performance Evaluation of Walking Imagery Training Based on Virtual Environment in Brain-Computer Interfaces. ISM 2017: 25-30 - [c45]Jinta Zheng, Jing Qin, Kup-Sze Choi:
Towards Interactive and Realistic Rendering of 3D Fetal Ultrasound via Photon Mapping. ISM 2017: 444-449 - [c44]Xiaowei Hu, Lequan Yu, Hao Chen, Jing Qin, Pheng-Ann Heng:
AGNet: Attention-Guided Network for Surgical Tool Presence Detection. DLMIA/ML-CDS@MICCAI 2017: 186-194 - [c43]Qianqian Tong, Munan Ning, Weixin Si, Xiangyun Liao, Jing Qin:
3D Deeply-Supervised U-Net Based Whole Heart Segmentation. STACOM@MICCAI 2017: 224-232 - [c42]Lequan Yu, Jie-Zhi Cheng, Qi Dou, Xin Yang, Hao Chen, Jing Qin, Pheng-Ann Heng:
Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets. MICCAI (2) 2017: 287-295 - [c41]Qi Dou, Hao Chen, Yueming Jin, Huangjing Lin, Jing Qin, Pheng-Ann Heng:
Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual Learning. MICCAI (3) 2017: 630-638 - [c40]Xin Yang, Lequan Yu, Shengli Li, Xu Wang, Na Wang, Jing Qin, Dong Ni, Pheng-Ann Heng:
Towards Automatic Semantic Segmentation in Volumetric Ultrasound. MICCAI (1) 2017: 711-719 - [c39]Weixin Si, Jing Lu, Xiangyun Liao, Qiong Wang, Jing Qin, Pheng-Ann Heng:
Patch green coordinates based interactive embedded deformable model. MIG 2017: 3:1-3:10 - [p1]Hao Chen, Qi Dou, Lequan Yu, Jing Qin, Lei Zhao, Vincent C. T. Mok, Defeng Wang, Lin Shi, Pheng-Ann Heng:
Deep Cascaded Networks for Sparsely Distributed Object Detection from Medical Images. Deep Learning for Medical Image Analysis 2017: 133-154 - [i8]Huangjing Lin, Hao Chen, Qi Dou, Liansheng Wang, Jing Qin, Pheng-Ann Heng:
ScanNet: A Fast and Dense Scanning Framework for Metastatic Breast Cancer Detection from Whole-Slide Images. CoRR abs/1707.09597 (2017) - [i7]Lequan Yu, Jie-Zhi Cheng, Qi Dou, Xin Yang, Hao Chen, Jing Qin, Pheng-Ann Heng:
Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets. CoRR abs/1708.00573 (2017) - [i6]Qi Dou, Hao Chen, Yueming Jin, Huangjing Lin, Jing Qin, Pheng-Ann Heng:
Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual Learning. CoRR abs/1708.03867 (2017) - [i5]Xiaowei Hu, Lei Zhu, Chi-Wing Fu, Jing Qin, Pheng-Ann Heng:
Direction-aware Spatial Context Features for Shadow Detection. CoRR abs/1712.04142 (2017) - [i4]Yanning Zhou, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
SFCN-OPI: Detection and Fine-grained Classification of Nuclei Using Sibling FCN with Objectness Prior Interaction. CoRR abs/1712.08297 (2017) - 2016
- [j38]Bing Nan Li, Jing Qin, Rong Wang, Meng Wang, Xuelong Li:
Selective Level Set Segmentation Using Fuzzy Region Competition. IEEE Access 4: 4777-4788 (2016) - [j37]Yuhong Li, Fucang Jia, Jing Qin:
Brain tumor segmentation from multimodal magnetic resonance images via sparse representation. Artif. Intell. Medicine 73: 1-13 (2016) - [j36]Shuang Liang, Kup-Sze Choi, Jing Qin, Wai-Man Pang, Pheng-Ann Heng:
Enhancing training performance for brain-computer interface with object-directed 3D visual guidance. Int. J. Comput. Assist. Radiol. Surg. 11(11): 2129-2137 (2016) - [j35]Lei Zhu, Chi-Wing Fu, Yueming Jin, Mingqiang Wei, Jing Qin, Pheng-Ann Heng:
Non-Local Sparse and Low-Rank Regularization for Structure-Preserving Image Smoothing. Comput. Graph. Forum 35(7): 217-226 (2016) - [j34]Shuang Liang, Kup-Sze Choi, Jing Qin, Wai-Man Pang, Qiong Wang, Pheng-Ann Heng:
Improving the discrimination of hand motor imagery via virtual reality based visual guidance. Comput. Methods Programs Biomed. 132: 63-74 (2016) - [j33]Wai-Man Pang, Kup-Sze Choi, Jing Qin:
Fast Gabor texture feature extraction with separable filters using GPU. J. Real Time Image Process. 12(1): 5-13 (2016) - [j32]Yi Wang, Jie-Zhi Cheng, Dong Ni, Muqing Lin, Jing Qin, Xiongbiao Luo, Ming Xu, Xiaoyan Xie, Pheng-Ann Heng:
Towards Personalized Statistical Deformable Model and Hybrid Point Matching for Robust MR-TRUS Registration. IEEE Trans. Medical Imaging 35(2): 589-604 (2016) - [j31]Qi Dou, Hao Chen, Lequan Yu, Lei Zhao, Jing Qin, Defeng Wang, Vincent C. T. Mok, Lin Shi, Pheng-Ann Heng:
Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks. IEEE Trans. Medical Imaging 35(5): 1182-1195 (2016) - [j30]Kup-Sze Choi, Xuejian He, Vico Chung-Lim Chiang, Zhaohong Deng, Jing Qin:
A Heuristic Force Model for Haptic Simulation of Nasogastric Tube Insertion Using Fuzzy Logic. IEEE Trans. Haptics 9(3): 295-310 (2016) - [c38]Hao Chen, Qi Dou, Xi Wang, Jing Qin, Pheng-Ann Heng:
Mitosis Detection in Breast Cancer Histology Images via Deep Cascaded Networks. AAAI 2016: 1160-1166 - [c37]Lei Zhu, Weiming Wang, Xiaomeng Li, Qiong Wang, Jing Qin, Kin Hong Wong, Pheng-Ann Heng:
Ultrasound Speckle Reduction via L_0 Minimization. ACCV (3) 2016: 50-65 - [c36]Hao Chen, Qi Dou, Xi Wang, Jing Qin, Jack Chun Yiu Cheng, Pheng-Ann Heng:
3D Fully Convolutional Networks for Intervertebral Disc Localization and Segmentation. MIAR 2016: 375-382 - [c35]Sihong Chen, Dong Ni, Jing Qin, Bai Ying Lei, Tianfu Wang, Jie-Zhi Cheng:
Bridging Computational Features Toward Multiple Semantic Features with Multi-task Regression: A Study of CT Pulmonary Nodules. MICCAI (2) 2016: 53-60 - [c34]Lequan Yu, Xin Yang, Jing Qin, Pheng-Ann Heng:
3D FractalNet: Dense Volumetric Segmentation for Cardiovascular MRI Volumes. RAMBO+HVSMR@MICCAI 2016: 103-110 - [c33]Qi Dou, Hao Chen, Yueming Jin, Lequan Yu, Jing Qin, Pheng-Ann Heng:
3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes. MICCAI (2) 2016: 149-157 - [c32]Dong Ni, Xing Ji, Yaozong Gao, Jie-Zhi Cheng, Huifang Wang, Jing Qin, Bai Ying Lei, Tianfu Wang, Guorong Wu, Dinggang Shen:
Automatic Cystocele Severity Grading in Ultrasound by Spatio-Temporal Regression. MICCAI (2) 2016: 247-255 - [c31]Jinta Zheng, Tianjin Zhang, Jing Qin:
Local Detail Enhancement for Volume Rendering under Global Illumination. PG (Short Papers) 2016: 45-50 - [c30]Zhengzhe Liu, Fuyang Huang, Gladys Wai Lan Tang, Felix Yim Binh Sze, Jing Qin, Xiaogang Wang, Qiang Xu:
Real-time Sign Language Recognition with Guided Deep Convolutional Neural Networks. SUI 2016: 187 - [i3]Qi Dou, Hao Chen, Yueming Jin, Lequan Yu, Jing Qin, Pheng-Ann Heng:
3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes. CoRR abs/1607.00582 (2016) - [i2]Xin Yang, Lequan Yu, Lingyun Wu, Yi Wang, Dong Ni, Jing Qin, Pheng-Ann Heng:
Fine-grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images. CoRR abs/1612.01655 (2016) - [i1]Badong Chen, Lei Xing, Xin Wang, Jing Qin, Nanning Zheng:
Robust Learning with Kernel Mean p-Power Error Loss. CoRR abs/1612.07019 (2016) - 2015
- [j29]Mingqiang Wei, Lei Zhu, Jinze Yu, Jun Wang, Wai-Man Pang, Jianhuang Wu, Jing Qin, Pheng-Ann Heng:
Morphology-preserving smoothing on polygonized isosurfaces of inhomogeneous binary volumes. Comput. Aided Des. 58: 92-98 (2015) - [j28]Meng Zhang, Weixin Si, Yinling Qian, Hanqiu Sun, Jing Qin, Pheng-Ann Heng:
Vortex Filaments in Grids for Scalable, Fine Smoke Simulation. IEEE Computer Graphics and Applications 35(6): 60-68 (2015) - [j27]Xuemiao Xu, Qiang Jin, Le Zhou, Jing Qin, Tien-Tsin Wong, Guoqiang Han:
Illumination-Invariant and Deformation-Tolerant Inner Knuckle Print Recognition Using Portable Devices. Sensors 15(2): 4326-4352 (2015) - [j26]Hao Chen, Dong Ni, Jing Qin, Shengli Li, Xin Yang, Tianfu Wang, Pheng-Ann Heng:
Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks. IEEE J. Biomed. Health Informatics 19(5): 1627-1636 (2015) - [j25]Mingqiang Wei, Jinze Yu, Wai-Man Pang, Jun Wang, Jing Qin, Ligang Liu, Pheng-Ann Heng:
Bi-Normal Filtering for Mesh Denoising. IEEE Trans. Vis. Comput. Graph. 21(1): 43-55 (2015) - [c29]Xiaofang Liu, Qiong Wang, Jianying Li, Jing Qin, Weiming Wang, Lichu Liu, Xiaojuan Zhang, Pheng-Ann Heng:
Virtual Pedicle Screw Insertion Surgical Simulation with Haptic Rendering. GRAPP 2015: 366-373 - [c28]Qiong Wang, Jing Qin, Weiming Wang, Junliang Shan, Jing Zhang, Xiaofang Liu, Pheng-Ann Heng:
Haptic rendering of drilling process in orthopedic surgical simulation based on the volumetric object. DSP 2015: 1098-1101 - [c27]Liansheng Wang, Xinyue Li, Yiping Chen, Jing Qin:
Application of L0-Norm Regularization to Epicardial Potential Reconstruction. MICCAI (2) 2015: 493-500 - [c26]Hao Chen, Qi Dou, Dong Ni, Jie-Zhi Cheng, Jing Qin, Shengli Li, Pheng-Ann Heng:
Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks. MICCAI (1) 2015: 507-514 - [c25]Hao Chen, Chiyao Shen, Jing Qin, Dong Ni, Lin Shi, Jack Chun Yiu Cheng, Pheng-Ann Heng:
Automatic Localization and Identification of Vertebrae in Spine CT via a Joint Learning Model with Deep Neural Networks. MICCAI (1) 2015: 515-522 - [c24]Xuemiao Xu, Linyuan Zhong, Minshan Xie, Jing Qin, Yilan Chen, Qiang Jin, Tien-Tsin Wong, Guoqiang Han:
Texture-aware ASCII art synthesis with proportional fonts. NPAR@Expressive 2015: 183-193 - [c23]Yuhong Li, Qi Dou, Jinze Yu, Fucang Jia, Jing Qin, Pheng-Ann Heng:
Automatic Brain Tumor Segmentation from MR Images via a Multimodal Sparse Coding Based Probabilistic Model. PRNI 2015: 41-44 - [c22]Bin Duan, Rong Wen, Chin-Boon Chng, Weiming Wang, Ping Liu, Jing Qin, Jonnathan Libao Peneyra, Stephen Kin Yong Chang, Pheng-Ann Heng, Chee-Kong Chui:
Image-guided robotic system for radiofrequency ablation of large liver tumor with single incision. URAI 2015: 284-289 - 2014
- [j24]Xiaopei Liu, Wai-Man Pang, Jing Qin, Chi-Wing Fu:
Turbulence Simulation by Adaptive Multi-Relaxation Lattice Boltzmann Modeling. IEEE Trans. Vis. Comput. Graph. 20(2): 289-302 (2014) - [c21]Shuang Liang, Kup-Sze Choi, Jing Qin, Wai-Man Pang, Pheng-Ann Heng:
Effective user training for motor imagery based brain computer interface with object-directed 3D visual display. BMEI 2014: 297-301 - [c20]Lei Zhu, Weiming Wang, Jing Qin, Pheng-Ann Heng:
Speckle reduction by phase-based weighted least squares. EMBC 2014: 3909-3912 - [c19]Yi Wang, Dong Ni, Jing Qin, Xin Yang, Xiaoyan Xie, Muqing Lin, Pheng-Ann Heng:
Personalized modeling of prostate deformation based on elastography for MRI-TRUS registration. ISBI 2014: 782-785 - [c18]Xin Yang, Dong Ni, Jing Qin, Shengli Li, Tianfu Wang, Siping Chen, Pheng-Ann Heng:
Standard plane localization in ultrasound by radial component. ISBI 2014: 1180-1183 - [c17]Yi Wang, Dong Ni, Jing Qin, Muqing Lin, Xiaoyan Xie, Ming Xu, Pheng-Ann Heng:
Towards Personalized Biomechanical Model and MIND-Weighted Point Matching for Robust Deformable MR-TRUS Registration. CARE@MICCAI 2014: 121-130 - 2013
- [j23]Jixiang Guo, Shun Li, Yim-Pan Chui, Jing Qin, Pheng-Ann Heng:
Mesh quality oriented 3D geometric vascular modeling based on parallel transport frame. Comput. Biol. Medicine 43(7): 879-888 (2013) - [j22]Jing Zhang, Jiayin Zhou, Weimin Huang, Jing Qin, Tao Yang, Jimmy Liu, Yi Su, Chee-Kong Chui, Stephen K. Y. Chang:
GPU-friendly gallbladder modeling in laparoscopic cholecystectomy surgical training system. Comput. Electr. Eng. 39(1): 122-129 (2013) - [j21]Lei Zhu, Mingqiang Wei, Jinze Yu, Weiming Wang, Jing Qin, Pheng-Ann Heng:
Coarse-to-Fine Normal Filtering for Feature-Preserving Mesh Denoising Based on Isotropic Subneighborhoods. Comput. Graph. Forum 32(7): 371-380 (2013) - [j20]Jing Qin, Kup-Sze Choi, Renheng Xu, Wai-Man Pang, Pheng-Ann Heng:
Effect of Packet Loss on Collaborative Haptic Interactions in Networked Virtual Environments: An Experimental Study. Presence Teleoperators Virtual Environ. 22(1): 36-53 (2013) - [c16]Weiming Wang, Jing Qin, Yim-Pan Chui, Pheng-Ann Heng:
A multiresolution framework for ultrasound image segmentation by combinative active contours. EMBC 2013: 1144-1147 - [c15]Haichao Zhu, Weiming Wang, Jingxian Sun, Qiang Meng, Jinze Yu, Jing Qin, Pheng-Ann Heng:
An Interactive Web-Based Navigation System for Learning Human Anatomy. EMC/HumanCom 2013: 73-81 - [c14]Jianying Li, Yu Guo, Ping Liu, Qiong Wang, Jing Qin:
A GPU-accelerated finite element solver for simulation of soft-body deformation. ICIA 2013: 631-636 - [c13]Dong Ni, Yong Yang, Shengli Li, Jing Qin, Shuyuan Ouyang, Tianfu Wang, Pheng-Ann Heng:
Learning based automatic head detection and measurement from fetal ultrasound images via prior knowledge and imaging parameters. ISBI 2013: 772-775 - [c12]Dong Ni, Tianmei Li, Xin Yang, Jing Qin, Shengli Li, Chien Ting Chin, Shuyuan Ouyang, Tianfu Wang, Siping Chen:
Selective Search and Sequential Detection for Standard Plane Localization in Ultrasound. Abdominal Imaging 2013: 203-211 - [c11]Bing Nan Li, Xiang Shan, Jing Qin, Weimin Huang, Ning An:
SenseViewer: A unified rendering interface of visual and haptic cues in medical images. ROBIO 2013: 2209-2212 - 2012
- [j19]Wai-Man Pang, Jing Qin, Michael Cohen, Pheng-Ann Heng, Kup-Sze Choi:
Fast Rendering of Diffusion Curves with Triangles. IEEE Computer Graphics and Applications 32(4): 68-78 (2012) - [j18]Shun Li, Jixiang Guo, Qiong Wang, Qiang Meng, Yim-Pan Chui, Jing Qin, Pheng-Ann Heng:
A Catheterization-Training Simulator Based on a Fast Multigrid Solver. IEEE Computer Graphics and Applications 32(6): 56-70 (2012) - [j17]Wing-Yin Chan, Jing Qin, Yim-Pan Chui, Pheng-Ann Heng:
A Serious Game for Learning Ultrasound-Guided Needle Placement Skills. IEEE Trans. Inf. Technol. Biomed. 16(6): 1032-1042 (2012) - [j16]Qiong Wang, Hui Chen, Wen Wu, Jing Qin, Pheng-Ann Heng:
Impulse-Based Rendering Methods for Haptic Simulation of Bone-Burring. IEEE Trans. Haptics 5(4): 344-355 (2012) - 2011
- [j15]Wai-Man Pang, Jing Qin, Yuqiang Lu, Yongming Xie, Chee-Kong Chui, Pheng-Ann Heng:
Accelerating simultaneous algebraic reconstruction technique with motion compensation using CUDA-enabled GPU. Int. J. Comput. Assist. Radiol. Surg. 6(2): 187-199 (2011) - [j14]Tao Yang, Chee-Kong Chui, Rui Qi Yu, Jing Qin, Stephen K. Y. Chang:
Quasi-linear viscoelastic modeling of arterial wall for surgical simulation. Int. J. Comput. Assist. Radiol. Surg. 6(6): 829-838 (2011) - [j13]Dong Ni, Wing-Yin Chan, Jing Qin, Yim-Pan Chui, Ingrid Qu, Simon S. M. Ho, Pheng-Ann Heng:
A Virtual Reality Simulator for Ultrasound-Guided Biopsy Training. IEEE Computer Graphics and Applications 31(2): 36-48 (2011) - [j12]Shun Li, Jing Qin, Jixiang Guo, Yim-Pan Chui, Pheng-Ann Heng:
A Novel FEM-Based Numerical Solver for Interactive Catheter Simulation in Virtual Catheterization. Int. J. Biomed. Imaging 2011: 815246:1-815246:8 (2011) - [j11]Kup-Sze Choi, Leon Sze-Ho Chan, Jing Qin, Wai-Man Pang:
Haptic Rendering in Interactive Applications Developed with Commodity Physics Engine. J. Multim. 6(2): 147-155 (2011) - [c10]Jing Qin, Jing Zhang, Chee-Kong Chui, Weimin Huang, Tao Yang, Wai-Man Pang, Sudhakar K. Venkatesh, Stephen K. Y. Chang:
A simulation framework for estimating wall stress distribution of abdominal aortic aneurysm. EMBC 2011: 900-903 - [c9]Qiang Meng, Yim-Pan Chui, Jing Qin, W. H. Kwok, Manoj Karmakar, Pheng-Ann Heng:
CvhSlicer: An Interactive Cross-Sectional Anatomy Navigation System Based on High-Resolution Chinese Visible Human Data. MMVR 2011: 354-358 - 2010
- [j10]Jing Qin, Yim-Pan Chui, Wai-Man Pang, Kup-Sze Choi, Pheng-Ann Heng:
Learning Blood Management in Orthopedic Surgery through Gameplay. IEEE Computer Graphics and Applications 30(2): 45-57 (2010) - [j9]Jing Qin, Kup-Sze Choi, Wai-Man Pang, Zhang Yi, Pheng-Ann Heng:
Collaborative Virtual Surgery: Techniques, Applications and Challenges. Int. J. Virtual Real. 9(3): 1-7 (2010) - [j8]Jing Qin, Wai-Man Pang, Yim-Pan Chui, Tien-Tsin Wong, Pheng-Ann Heng:
A Novel Modeling Framework for Multilayered Soft Tissue Deformation in Virtual Orthopedic Surgery. J. Medical Syst. 34(3): 261-271 (2010) - [j7]Jing Qin, Kup-Sze Choi, Pheng-Ann Heng:
Collaborative Simulation of Soft-Tissue Deformation for Virtual Surgery Applications. J. Medical Syst. 34(3): 367-378 (2010) - [j6]Wai-Man Pang, Jing Qin, Yim-Pan Chui, Pheng-Ann Heng:
Fast Prototyping of Virtual Reality Based Surgical Simulators with PhysX-enabled GPU. Trans. Edutainment 4: 176-188 (2010) - [j5]Wing-Yin Chan, Dong Ni, Wai-Man Pang, Jing Qin, Yim-Pan Chui, Simon Chun-Ho Yu, Pheng-Ann Heng:
Learning Ultrasound-Guided Needle Insertion Skills through an Edutainment Game. Trans. Edutainment 4: 200-214 (2010) - [j4]Zhenlan Wang, Binh P. Nguyen, Chee-Kong Chui, Jing Qin, Chuan-Heng Ang, Sim Heng Ong:
An efficient clustering method for fast rendering of time-varying volumetric medical data. Vis. Comput. 26(6-8): 1061-1070 (2010) - [c8]Jing Qin, Wai-Man Pang, Binh P. Nguyen, Dong Ni, Chee-Kong Chui:
Particle-based simulation of blood flow and vessel wall interactions in virtual surgery. SoICT 2010: 128-133
2000 – 2009
- 2009
- [j3]Dong Ni, Yim-Pan Chui, Yingge Qu, Xuan S. Yang, Jing Qin, Tien-Tsin Wong, Simon S. M. Ho, Pheng-Ann Heng:
Reconstruction of volumetric ultrasound panorama based on improved 3D SIFT. Comput. Medical Imaging Graph. 33(7): 559-566 (2009) - [j2]Jing Qin, Kup-Sze Choi, Wai-Sang Poon, Pheng-Ann Heng:
A framework using cluster-based hybrid network architecture for collaborative virtual surgery. Comput. Methods Programs Biomed. 96(3): 205-216 (2009) - [j1]Jing Qin, Yim-Pan Chui, Simon Sze-Ming Ho, Wai-Sang Poon, Pheng-Ann Heng:
PPU-friendly Biomechanical Models for Virtual Medicine. Int. J. Virtual Real. 8(1): 17-26 (2009) - [c7]Yuqiang Lu, Weiming Wang, Shifu Chen, Yongming Xie, Jing Qin, Wai-Man Pang, Pheng-Ann Heng:
Accelerating Algebraic Reconstruction Using CUDA-Enabled GPU. CGIV 2009: 480-485 - [c6]Bing Nan Li, Binh P. Nguyen, Sim Heng Ong, Jing Qin, Liangjing Yang, Chee-Kong Chui:
Image Processing and Modeling for Active Needle Steering in Liver Surgery. CAR 2009: 306-310 - [c5]Shifu Chen, Jing Qin, Yong-Ming Xie, Junping Zhao, Pheng-Ann Heng:
A Fast and Flexible Sorting Algorithm with CUDA. ICA3PP 2009: 281-290 - [c4]Weiming Wang, Xiaoqi Yan, Yongming Xie, Jing Qin, Wai-Man Pang, Pheng-Ann Heng:
A Physically-Based Modeling and Simulation Framework for Facial Animation. ICIG 2009: 521-526 - 2008
- [c3]Jing Qin, Kup-Sze Choi, Simon S. M. Ho, Pheng-Ann Heng:
An Adaptive Transmission Protocol for Managing Dynamic Shared States in Collaborative Surgical Simulation. MMVR 2008: 387-389 - 2007
- [c2]Wai-Man Pang, Jing Qin, Yim-Pan Chui, Tien-Tsin Wong, Kwok-Sui Leung, Pheng-Ann Heng:
Orthopedics Surgery Trainer with PPU-Accelerated Blood and Tissue Simulation. MICCAI (2) 2007: 842-849 - [c1]Jing Qin, Pheng-Ann Heng, Kup-Sze Choi, Simon S. M. Ho:
An Adaptive Framework Using Cluster-Based Hybrid Architecture for Enhancing Collaboration in Surgical Simulation. MMVR 2007: 367-372
Coauthor Index
aka: Baiying Lei
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last updated on 2024-12-23 19:33 CET by the dblp team
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