default search action
Jianhua Yao 0001
Person information
- affiliation: Tencent AI Lab, Shenzhen, China
- affiliation: National Institutes of Health, Bethesda, MD, USA
- affiliation (PhD): Johns Hopkins University, Baltimore, MD, USA
Other persons with the same name
- Jianhua Yao 0002 — Chinese Academy of Sciences, Shanghai Institute of Organic Chemistry, China
- Jianhua Yao 0003 — Stevens Institute of Technology, Department of Computer Science, Hoboken, NJ, USA
- Jianhua Yao 0004 — Jiangnan Institute of Computing Technology, Wuxi, China
- Jianhua Yao 0005
— Guangdong University of Technology, State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, Guangzhou, China
- Jianhua Yao 0006 — Phillips 66 Company, Bartlesville, OK, USA
- Jianhua Yao 0007 — Zhejiang University of Technology, College of Mechanical Engineering, Hangzhou, China
- Jianhua Yao 0008 — Trine University, Phoenix, AZ, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [j71]Rongbo Shen, Meiling Cheng, Wencang Wang, Qi Fan, Huan Yan, Jiayue Wen, Zhiyuan Yuan, Jianhua Yao, Yixue Li, Jiao Yuan
Graph domain adaptation-based framework for gene expression enhancement and cell type identification in large-scale spatially resolved transcriptomics. Briefings Bioinform. 25(6) (2024) - [j70]Minsheng Hao, Lei Wei, Fan Yang, Jianhua Yao, Christina V. Theodoris
Current opinions on large cellular models. Quant. Biol. 12(4): 433-443 (2024) - [j69]Xiaoya Chong
Deep Spatio-Temporal Network for Low-SNR Cryo-EM Movie Frame Enhancement. IEEE ACM Trans. Comput. Biol. Bioinform. 21(5): 1299-1310 (2024) - [c178]Fan Xu, Yu Zhao, Bingzhe Wu, Yueshan Huang, Qin Ren, Yang Xiao, Bing He, Jie Zheng, Jianhua Yao:
A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification. AAAI 2024: 16138-16146 - [c177]Yuhao Wang, Qiang Zhang, Ming Qin, Xiang Zhuang, Xiaotong Li, Zhichen Gong, Zeyuan Wang, Yu Zhao, Jianhua Yao, Keyan Ding, Huajun Chen:
Knowledge-aware Reinforced Language Models for Protein Directed Evolution. ICML 2024 - [c176]Qingyu Yin, Xuzheng He, Xiang Zhuang, Yu Zhao, Jianhua Yao, Xiaoyu Shen, Qiang Zhang:
StableMask: Refining Causal Masking in Decoder-only Transformer. ICML 2024 - [c175]Zinan Zheng
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Broad Physical Dynamics Learning. KDD 2024: 4548-4558 - [i43]Qingyu Yin, Xuzheng He, Xiang Zhuang, Yu Zhao, Jianhua Yao, Xiaoyu Shen, Qiang Zhang:
StableMask: Refining Causal Masking in Decoder-only Transformer. CoRR abs/2402.04779 (2024) - [i42]Chaohao Yuan, Songyou Li, Geyan Ye, Yikun Zhang, Long-Kai Huang, Wenbing Huang, Wei Liu, Jianhua Yao, Yu Rong:
Functional Protein Design with Local Domain Alignment. CoRR abs/2404.16866 (2024) - [i41]Yikun Zhang, Geyan Ye, Chaohao Yuan, Bo Han, Long-Kai Huang, Jianhua Yao, Wei Liu, Yu Rong:
Atomas: Hierarchical Alignment on Molecule-Text for Unified Molecule Understanding and Generation. CoRR abs/2404.16880 (2024) - [i40]Kehua Feng, Keyan Ding, Weijie Wang, Xiang Zhuang, Zeyuan Wang, Ming Qin, Yu Zhao, Jianhua Yao, Qiang Zhang, Huajun Chen:
SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language Models. CoRR abs/2406.09098 (2024) - [i39]Zinan Zheng, Yang Liu, Jia Li, Jianhua Yao, Yu Rong:
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics Learning. CoRR abs/2406.16295 (2024) - [i38]Sijie Mai, Yu Zhao, Ying Zeng, Jianhua Yao, Haifeng Hu:
Meta-Learn Unimodal Signals with Weak Supervision for Multimodal Sentiment Analysis. CoRR abs/2408.16029 (2024) - 2023
- [j68]Yu Zhao, Bing He
Interpretable artificial intelligence model for accurate identification of medical conditions using immune repertoire. Briefings Bioinform. 24(1) (2023) - [j67]Jing Xu, Fuyi Li
iAMPCN: a deep-learning approach for identifying antimicrobial peptides and their functional activities. Briefings Bioinform. 24(4) (2023) - [j66]Yu Zhao, Xiaona Su, Weitong Zhang
SC-AIR-BERT: a pre-trained single-cell model for predicting the antigen-binding specificity of the adaptive immune receptor. Briefings Bioinform. 24(4) (2023) - [j65]Wei Li, Bin Xiang, Fan Yang, Yu Rong, Yanbin Yin
scMHNN: a novel hypergraph neural network for integrative analysis of single-cell epigenomic, transcriptomic and proteomic data. Briefings Bioinform. 24(6) (2023) - [j64]Zhikang Wang, Yue Bi, Tong Pan, Xiaoyu Wang, Chris Bain, Richard Bassed, Seiya Imoto
Targeting tumor heterogeneity: multiplex-detection-based multiple instance learning for whole slide image classification. Bioinform. 39(3) (2023) - [j63]Wenxue Zhou, Chenchen Qin, Jianbo Chang, Yixun Liu, Yihao Chen, Ming Feng, Renzhi Wang, Wenming Yang, Jianhua Yao:
Standardized measurement of mid-surface shift of brain based on deep Hough transform. Comput. Medical Imaging Graph. 108: 102284 (2023) - [j62]Zhikang Wang
Surformer: An interpretable pattern-perceptive survival transformer for cancer survival prediction from histopathology whole slide images. Comput. Methods Programs Biomed. 241: 107733 (2023) - [j61]Fang Wang
Deep domain adversarial neural network for the deconvolution of cell type mixtures in tissue proteome profiling. Nat. Mac. Intell. 5(11): 1236-1249 (2023) - [j60]Jianye Pang
3D Shuffle-Mixer: An Efficient Context-Aware Vision Learner of Transformer-MLP Paradigm for Dense Prediction in Medical Volume. IEEE Trans. Medical Imaging 42(5): 1241-1253 (2023) - [c174]Yang Xiao, Yueshan Huang, Yu Zhao, Fan Xu, Qin Ren, Bing He, Jianhua Yao, Xiao Liu:
Multimodal-AIR-BERT: A Multimodal Pre-trained Model for Antigen Specificity Prediction in Adaptive Immune Receptors. BIBM 2023: 69-75 - [c173]Mingcai Chen, Yu Zhao, Zhonghuang Wang, Bing He, Jianhua Yao:
A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification. IJCAI 2023: 4739-4747 - [c172]Wentao Pan, Jiangpeng Yan, Hanbo Chen, Jiawei Yang, Zhe Xu, Xiu Li, Jianhua Yao:
Human-Machine Interactive Tissue Prototype Learning for Label-Efficient Histopathology Image Segmentation. IPMI 2023: 679-691 - [c171]Qin Ren, Yu Zhao, Bing He, Bingzhe Wu, Sijie Mai, Fan Xu, Yueshan Huang, Yonghong He, Junzhou Huang
IIB-MIL: Integrated Instance-Level and Bag-Level Multiple Instances Learning with Label Disambiguation for Pathological Image Analysis. MICCAI (6) 2023: 560-569 - [c170]Songhui Diao, Wenxue Zhou, Chenchen Qin, Jun Liao
An Unsupervised Multispectral Image Registration Network for Skin Diseases. MICCAI (10) 2023: 720-729 - [i37]Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian
Reweighted Mixup for Subpopulation Shift. CoRR abs/2304.04148 (2023) - [i36]Daoan Zhang
DNAGPT: A Generalized Pretrained Tool for Multiple DNA Sequence Analysis Tasks. CoRR abs/2307.05628 (2023) - [i35]Mingcai Chen, Yu Zhao, Zhonghuang Wang, Bing He, Jianhua Yao:
A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification. CoRR abs/2307.15934 (2023) - [i34]Wentao Pan, Zhe Xu, Jiangpeng Yan, Zihan Wu, Raymond Kai-Yu Tong, Xiu Li, Jianhua Yao:
Semi-supervised Semantic Segmentation Meets Masked Modeling: Fine-grained Locality Learning Matters in Consistency Regularization. CoRR abs/2312.08631 (2023) - 2022
- [j59]Yue Bi, Fuyi Li
Clarion is a multi-label problem transformation method for identifying mRNA subcellular localizations. Briefings Bioinform. 23(6) (2022) - [j58]Xiaohan Xing
Multi-level attention graph neural network based on co-expression gene modules for disease diagnosis and prognosis. Bioinform. 38(8): 2178-2186 (2022) - [j57]Jiangpeng Yan
Deep contrastive learning based tissue clustering for annotation-free histopathology image analysis. Comput. Medical Imaging Graph. 97: 102053 (2022) - [j56]Fan Yang, Wenchuan Wang, Fang Wang
scBERT as a large-scale pretrained deep language model for cell type annotation of single-cell RNA-seq data. Nat. Mac. Intell. 4(10): 852-866 (2022) - [j55]Dasheng Wu
Automatic Brain Midline Surface Delineation on 3D CT Images With Intracranial Hemorrhage. IEEE Trans. Medical Imaging 41(9): 2217-2227 (2022) - [c169]Jiawei Li, Fan Yang, Fang Wang, Yu Rong, Peilin Zhao, Shizhan Chen, Jianhua Yao, Jijun Tang, Fei Guo:
Integrating Prior Knowledge with Graph Encoder for Gene Regulatory Inference from Single-cell RNA-Seq Data. BIBM 2022: 102-107 - [c168]Zongbo Han, Fan Yang, Junzhou Huang, Changqing Zhang, Jianhua Yao:
Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification. CVPR 2022: 20675-20685 - [c167]Jiawei Yang, Hanbo Chen, Yuan Liang, Junzhou Huang
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images. ECCV (21) 2022: 523-539 - [c166]Jiawei Yang, Hanbo Chen, Jiangpeng Yan, Xiaoyu Chen, Jianhua Yao:
Towards Better Understanding and Better Generalization of Low-shot Classification in Histology Images with Contrastive Learning. ICLR 2022 - [c165]Jiawei Yang, Hanbo Chen, Yu Zhao, Fan Yang, Yao Zhang, Lei He, Jianhua Yao
ReMix: A General and Efficient Framework for Multiple Instance Learning Based Whole Slide Image Classification. MICCAI (2) 2022: 35-45 - [c164]Yu Zhao, Zhenyu Lin
SETMIL: Spatial Encoding Transformer-Based Multiple Instance Learning for Pathological Image Analysis. MICCAI (2) 2022: 66-76 - [c163]Chenchen Qin, Wenxue Zhou, Jianbo Chang
Ideal Midsagittal Plane Detection Using Deep Hough Plane Network for Brain Surgical Planning. MICCAI (8) 2022: 585-593 - [c162]Hanbo Chen, Jiawei Yang, Daniel Maxim Iascone, Lijuan Liu, Lei He, Hanchuan Peng, Jianhua Yao:
TreeMoCo: Contrastive Neuron Morphology Representation Learning. NeurIPS 2022 - [c161]Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Bingzhe Wu, Changqing Zhang, Jianhua Yao:
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup. NeurIPS 2022 - [i33]Jiawei Yang, Hanbo Chen, Jiangpeng Yan, Xiaoyu Chen, Jianhua Yao:
Towards better understanding and better generalization of few-shot classification in histology images with contrastive learning. CoRR abs/2202.09059 (2022) - [i32]Jianye Pang, Cheng Jiang, Yihao Chen, Jianbo Chang, Ming Feng, Renzhi Wang, Jianhua Yao:
3D Shuffle-Mixer: An Efficient Context-Aware Vision Learner of Transformer-MLP Paradigm for Dense Prediction in Medical Volume. CoRR abs/2204.06779 (2022) - [i31]Jiangpeng Yan, ChengHui Yu, Hanbo Chen, Zhe Xu, Junzhou Huang
Seeking Common Ground While Reserving Differences: Multiple Anatomy Collaborative Framework for Undersampled MRI Reconstruction. CoRR abs/2206.07364 (2022) - [i30]Jiawei Yang, Hanbo Chen, Yu Zhao, Fan Yang, Yao Zhang, Lei He, Jianhua Yao
ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification. CoRR abs/2207.01805 (2022) - [i29]Jiawei Yang, Hanbo Chen, Yuan Liang, Junzhou Huang
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images. CoRR abs/2207.06733 (2022) - [i28]Zhikang Wang, Yue Bi, Tong Pan, Xiaoyu Wang, Chris Bain, Richard Bassed, Seiya Imoto, Jianhua Yao, Jiangning Song:
Multiplex-detection Based Multiple Instance Learning Network for Whole Slide Image Classification. CoRR abs/2208.03526 (2022) - [i27]Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup. CoRR abs/2209.08928 (2022) - [i26]Mingcai Chen, Yu Zhao, Bing He, Zongbo Han, Bingzhe Wu, Jianhua Yao:
Learning with Noisy Labels over Imbalanced Subpopulations. CoRR abs/2211.08722 (2022) - [i25]Wentao Pan, Jiangpeng Yan, Hanbo Chen, Jiawei Yang, Zhe Xu, Xiu Li, Jianhua Yao:
Human-machine Interactive Tissue Prototype Learning for Label-efficient Histopathology Image Segmentation. CoRR abs/2211.14491 (2022) - 2021
- [j54]Jun Zhang, Zhiyuan Hua, Kezhou Yan, Kuan Tian, Jianhua Yao
Joint fully convolutional and graph convolutional networks for weakly-supervised segmentation of pathology images. Medical Image Anal. 73: 102183 (2021) - [c160]Xiaohan Xing, Fan Yang, Hang Li, Jun Zhang, Yu Zhao, Mingxuan Gao, Junzhou Huang
An Interpretable Multi-Level Enhanced Graph Attention Network for Disease Diagnosis with Gene Expression Data. BIBM 2021: 556-561 - [c159]Yu Zhao, Yidan Zhang
Mining the Associations between V(D)J Gene Segments and COVID-19 Disease Characteristics. BIBM 2021: 608-613 - [c158]Yuqi Fang
PiPo-Net: A Semi-automatic and Polygon-based Annotation Method for Pathological Images. IROS 2021: 2978-2984 - [c157]Zihan Wu
Strongly Supervised Mitosis Detection In Breast Histopathology Images Using Weak Labels. ISBI 2021: 358-361 - [c156]Jiangpeng Yan, Hanbo Chen, Kang Wang, Yan Ji, Yuyao Zhu, Jingjing Li, Dong Xie, Zhe Xu, Junzhou Huang
Hierarchical Attention Guided Framework for Multi-resolution Collaborative Whole Slide Image Segmentation. MICCAI (8) 2021: 153-163 - [c155]Hanbo Chen, Kang Wang, Yuyao Zhu, Jiangpeng Yan, Yan Ji, Jingjing Li, Dong Xie, Junzhou Huang
From Pixel to Whole Slide: Automatic Detection of Microvascular Invasion in Hepatocellular Carcinoma on Histopathological Image via Cascaded Networks. MICCAI (8) 2021: 196-205 - [c154]Hang Li, Fan Yang, Yu Zhao, Xiaohan Xing, Jun Zhang, Mingxuan Gao, Junzhou Huang
DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image. MICCAI (8) 2021: 206-216 - [c153]Chenchen Qin, Haoming Li, Yixun Liu, Hong Shang, Hanqi Pei, Xiaoning Wang, Yihao Chen, Jianbo Chang
3D Brain Midline Delineation for Hematoma Patients. MICCAI (5) 2021: 510-518 - [c152]Hang Li, Fan Yang, Xiaohan Xing, Yu Zhao, Jun Zhang, Yueping Liu, Mengxue Han, Junzhou Huang
Multi-modal Multi-instance Learning Using Weakly Correlated Histopathological Images and Tabular Clinical Information. MICCAI (8) 2021: 529-539 - [c151]Ting Xiao, Han Zheng, Xiaoning Wang, Xinghan Chen, Jianbo Chang
Intracerebral Haemorrhage Growth Prediction Based on Displacement Vector Field and Clinical Metadata. MICCAI (5) 2021: 741-751 - [i24]Cheng Jiang, Yihao Chen, Jianbo Chang, Ming Feng, Renzhi Wang, Jianhua Yao:
Fusion of medical imaging and electronic health records with attention and multi-head machanisms. CoRR abs/2112.11710 (2021) - 2020
- [j53]Rongbo Shen
Unsupervised domain adaptation with adversarial learning for mass detection in mammogram. Neurocomputing 393: 27-37 (2020) - [j52]Weijia Lu
New Boundary Constraint Loss to Facilitate Glands Segmentation. J. Medical Imaging Health Informatics 10(7): 1714-1723 (2020) - [j51]Ling Zhang
Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data. IEEE Trans. Medical Imaging 39(4): 1114-1126 (2020) - [c150]Yu Zhao, Fan Yang, Yuqi Fang
Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution. CVPR 2020: 4836-4845 - [c149]Han Zheng, Hong Shang, Zhongqian Sun, Xinghui Fu, Jianhua Yao
Supervised Augmentation: Leverage Strong Annotation for Limited Data. ISBI 2020: 1134-1138 - [c148]Tongxin Wang, Weijia Lu
Microsatellite Instability Prediction of Uterine Corpus Endometrial Carcinoma Based on H&E Histology Whole-Slide Imaging. ISBI 2020: 1289-1292 - [c147]Kuan Tian, Jun Zhang, Haocheng Shen, Kezhou Yan, Pei Dong, Jianhua Yao
Weakly-Supervised Nucleus Segmentation Based on Point Annotations: A Coarse-to-Fine Self-Stimulated Learning Strategy. MICCAI (5) 2020: 299-308 - [c146]Haocheng Shen, Kuan Tian, Pei Dong, Jun Zhang, Kezhou Yan, Shannon Che, Jianhua Yao
Deep Active Learning for Breast Cancer Segmentation on Immunohistochemistry Images. MICCAI (5) 2020: 509-518 - [c145]Zijian Zhang, Hong Shang, Han Zheng, Xiaoning Wang, Jiajun Wang, Zhongqian Sun, Junzhou Huang
Asynchronous in Parallel Detection and Tracking (AIPDT): Real-Time Robust Polyp Detection. MICCAI (3) 2020: 722-731 - [i23]Yifan Zhang, Shuaicheng Niu, Zhen Qiu, Ying Wei, Peilin Zhao, Jianhua Yao, Junzhou Huang, Qingyao Wu, Mingkui Tan:
COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19. CoRR abs/2005.01577 (2020) - [i22]Jun Zhang, Kuan Tian, Pei Dong, Haocheng Shen, Kezhou Yan, Jianhua Yao, Junzhou Huang, Xiao Han:
Microscope Based HER2 Scoring System. CoRR abs/2009.06816 (2020) - [i21]Cheng Jiang, Jun Liao, Pei Dong, Zhaoxuan Ma, De Cai, Guoan Zheng, Yueping Liu, Hong Bu, Jianhua Yao:
Blind deblurring for microscopic pathology images using deep learning networks. CoRR abs/2011.11879 (2020)
2010 – 2019
- 2019
- [j50]Haoming Lin
Fine-Grained Classification of Cervical Cells Using Morphological and Appearance Based Convolutional Neural Networks. IEEE Access 7: 71541-71549 (2019) - [j49]Choonsik Lee, Gleb A. Kuzmin, Jinyong Bae, Jianhua Yao
Automatic Mapping of CT Scan Locations on Computational Human Phantoms for Organ Dose Estimation. J. Digit. Imaging 32(1): 175-182 (2019) - [c144]He Zheng, Hanbo Chen, Junzhou Huang
Polyp Tracking in Video Colonoscopy Using Optical Flow With an On-The-Fly Trained CNN. ISBI 2019: 79-82 - [c143]Jiamin Liu, Jianhua Yao
A Semi-Supervised CNN Learning Method with Pseudo-class Labels for Atherosclerotic Vascular Calcification Detection. ISBI 2019: 780-783 - [c142]De Cai, Xianhe Sun, Niyun Zhou, Xiao Han
Efficient Mitosis Detection in Breast Cancer Histology Images by RCNN. ISBI 2019: 919-922 - [c141]Jiamin Liu, Jianhua Yao
A semi-supervised CNN learning method with pseudo-class labels for vascular calcification detection on low dose CT scans. Computer-Aided Diagnosis 2019: 109501L - [c140]Hanbo Chen, Xiao Han
Rectified Cross-Entropy and Upper Transition Loss for Weakly Supervised Whole Slide Image Classifier. MICCAI (1) 2019: 351-359 - [c139]Yifan Zhang, Hanbo Chen, Ying Wei
From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification. MICCAI (1) 2019: 360-368 - [c138]Niyun Zhou, De Cai, Xiao Han
Enhanced Cycle-Consistent Generative Adversarial Network for Color Normalization of H&E Stained Images. MICCAI (1) 2019: 694-702 - [p4]Ling Zhang, Le Lu, Ronald M. Summers, Electron Kebebew, Jianhua Yao
Tumor Growth Prediction Using Convolutional Networks. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 239-260 - [e4]Tomaz Vrtovec, Jianhua Yao, Guoyan Zheng, José María Pozo:
Computational Methods and Clinical Applications in Musculoskeletal Imaging - 6th International Workshop, MSKI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11404, Springer 2019, ISBN 978-3-030-11165-6 [contents] - [i20]Ling Zhang, Le Lu, Robert Zhu, Mohammadhadi Bagheri, Ronald M. Summers, Jianhua Yao:
Spatial-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data. CoRR abs/1902.08716 (2019) - 2018
- [j48]Ling Zhang
Convolutional Invasion and Expansion Networks for Tumor Growth Prediction. IEEE Trans. Medical Imaging 37(2): 638-648 (2018) - [c137]Ling Zhang, Vissagan Gopalakrishnan, Le Lu
Self-learning to detect and segment cysts in lung CT images without manual annotation. ISBI 2018: 1100-1103 - [c136]Zhihui Quo, Ling Zhang, Le Lu
Deep LOGISMOS: Deep learning graph-based 3D segmentation of pancreatic tumors on CT scans. ISBI 2018: 1230-1233 - [c135]Jianhua Yao
Tracking diaphragm and chest wall movement on cine-MRI. ISBI 2018: 1301-1304 - [e3]Ben Glocker, Jianhua Yao, Tomaz Vrtovec, Alejandro F. Frangi, Guoyan Zheng:
Computational Methods and Clinical Applications in Musculoskeletal Imaging - 5th International Workshop, MSKI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10734, Springer 2018, ISBN 978-3-319-74112-3 [contents] - [i19]Ling Zhang, Le Lu, Ronald M. Summers, Electron Kebebew, Jianhua Yao:
Convolutional Invasion and Expansion Networks for Tumor Growth Prediction. CoRR abs/1801.08468 (2018) - [i18]Ling Zhang, Vissagan Gopalakrishnan, Le Lu, Ronald M. Summers, Joel Moss, Jianhua Yao:
Self-Learning to Detect and Segment Cysts in Lung CT Images without Manual Annotation. CoRR abs/1801.08486 (2018) - [i17]Zhihui Guo, Ling Zhang, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers, Milan Sonka, Jianhua Yao:
Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans. CoRR abs/1801.08599 (2018) - [i16]Ling Zhang, Le Lu, Isabella Nogues, Ronald M. Summers, Shaoxiong Liu, Jianhua Yao:
DeepPap: Deep Convolutional Networks for Cervical Cell Classification. CoRR abs/1801.08616 (2018) - [i15]Haoming Lin, Yuyang Hu, Siping Chen, Jianhua Yao, Ling Zhang:
Fine-Grained Classification of Cervical Cells Using Morphological and Appearance Based Convolutional Neural Networks. CoRR abs/1810.06058 (2018) - 2017
- [j47]Dehui Xiang
CorteXpert: A model-based method for automatic renal cortex segmentation. Medical Image Anal. 42: 257-273 (2017) - [j46]Ling Zhang
DeepPap: Deep Convolutional Networks for Cervical Cell Classification. IEEE J. Biomed. Health Informatics 21(6): 1633-1643 (2017) - [j45]Ken C. L. Wong, Ronald M. Summers, Electron Kebebew, Jianhua Yao
Pancreatic Tumor Growth Prediction With Elastic-Growth Decomposition, Image-Derived Motion, and FDM-FEM Coupling. IEEE Trans. Medical Imaging 36(1): 111-123 (2017) - [c134]Karthik Chellamuthu, Jiamin Liu, Jianhua Yao
Atherosclerotic vascular calcification detection and segmentation on low dose computed tomography scans using convolutional neural networks. ISBI 2017: 388-391 - [c133]Ling Zhang, Milan Sonka, Le Lu
Combining fully convolutional networks and graph-based approach for automated segmentation of cervical cell nuclei. ISBI 2017: 406-409 - [c132]Jiamin Liu, Le Lu
Pelvic artery calcification detection on CT scans using convolutional neural networks. Computer-Aided Diagnosis 2017: 101341A - [c131]Uyen N. Hoang, Ashkan A. Malayeri, Nathan S. Lay, Ronald M. Summers, Jianhua Yao
Texture analysis of common renal masses in multiple MR sequences for prediction of pathology. Computer-Aided Diagnosis 2017: 101343J - [c130]Ling Zhang
Personalized Pancreatic Tumor Growth Prediction via Group Learning. MICCAI (2) 2017: 424-432 - [c129]Jianhua Yao
Holistic Segmentation of Intermuscular Adipose Tissues on Thigh MRI. MICCAI (1) 2017: 737-745 - [c128]Xiaosong Wang
Unsupervised Joint Mining of Deep Features and Image Labels for Large-Scale Radiology Image Categorization and Scene Recognition. WACV 2017: 998-1007 - [p3]Holger R. Roth
Efficient False Positive Reduction in Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 35-48 - [p2]Hoo-Chang Shin, Holger R. Roth
Three Aspects on Using Convolutional Neural Networks for Computer-Aided Detection in Medical Imaging. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 113-136 - [p1]Hoo-Chang Shin, Le Lu
Interleaved Text/Image Deep Mining on a Large-Scale Radiology Image Database. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 305-321 - [i14]Xiaosong Wang, Le Lu, Hoo-Chang Shin, Lauren Kim, Mohammadhadi Bagheri, Isabella Nogues, Jianhua Yao, Ronald M. Summers:
Unsupervised Joint Mining of Deep Features and Image Labels for Large-scale Radiology Image Categorization and Scene Recognition. CoRR abs/1701.06599 (2017) - [i13]Ling Zhang, Le Lu, Ronald M. Summers, Electron Kebebew, Jianhua Yao:
Personalized Pancreatic Tumor Growth Prediction via Group Learning. CoRR abs/1706.00493 (2017) - 2016
- [j44]Ken C. L. Wong, Michael Tee, Marcus Chen, David A. Bluemke
Regional infarction identification from cardiac CT images: a computer-aided biomechanical approach. Int. J. Comput. Assist. Radiol. Surg. 11(9): 1573-1583 (2016) - [j43]Jianhua Yao
A multi-center milestone study of clinical vertebral CT segmentation. Comput. Medical Imaging Graph. 49: 16-28 (2016) - [j42]William Kovacs
Retrieval, visualization, and mining of large radiation dosage data. Inf. Retr. J. 19(1-2): 38-58 (2016) - [j41]Samuel J. Weisenthal, Les R. Folio, William Kovacs, Ari Seff, Vana Derderian, Ronald M. Summers, Jianhua Yao
Open-Source Radiation Exposure Extraction Engine (RE3) with Patient-Specific Outlier Detection. J. Digit. Imaging 29(4): 406-419 (2016) - [j40]Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers:
Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation. J. Mach. Learn. Res. 17: 107:1-107:31 (2016) - [j39]Holger R. Roth
Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation. IEEE Trans. Medical Imaging 35(5): 1170-1181 (2016) - [j38]Hoo-Chang Shin, Holger R. Roth
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning. IEEE Trans. Medical Imaging 35(5): 1285-1298 (2016) - [c127]Hoo-Chang Shin, Kirk Roberts, Le Lu
Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation. CVPR 2016: 2497-2506 - [c126]William Kovacs, Chia-Ying Liu, Ronald M. Summers, Jianhua Yao
Identification of muscle and subcutaneous and intermuscular adipose tissue on thigh MRI of muscular dystrophy. ISBI 2016: 176-179 - [c125]Yinong Wang, Jianhua Yao
Osteoporotic and neoplastic compression fracture classification on longitudinal CT. ISBI 2016: 1181-1184 - [c124]Holger R. Roth
Deep convolutional networks for automated detection of posterior-element fractures on spine CT. Computer-Aided Diagnosis 2016: 97850P - [c123]Yinong Wang, Jianhua Yao
Improving vertebra segmentation through joint vertebra-rib atlases. Computer-Aided Diagnosis 2016: 97853O - [c122]William Kovacs, Chia-Ying Liu, Ronald M. Summers, Jianhua Yao
Differentiation of fat, muscle, and edema in thigh MRIs using random forest classification. Computer-Aided Diagnosis 2016: 978507 - [c121]Yinong Wang, Jianhua Yao
Detection of Degenerative Osteophytes of the Spine on PET/CT Using Region-Based Convolutional Neural Networks. CSI@MICCAI 2016: 116-124 - [c120]Zachary DeStefano, Nadine Abi-Jaoudeh
CT thermometry for cone-beam CT guided ablation. Image-Guided Procedures 2016: 978615 - [e2]Tomaz Vrtovec, Jianhua Yao, Ben Glocker, Tobias Klinder, Alejandro F. Frangi, Guoyan Zheng, Shuo Li
Computational Methods and Clinical Applications for Spine Imaging - Third International Workshop and Challenge, CSI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Revised Selected Papers. Lecture Notes in Computer Science 9402, Springer 2016, ISBN 978-3-319-41826-1 [contents] - [e1]Jianhua Yao, Tomaz Vrtovec, Guoyan Zheng, Alejandro F. Frangi, Ben Glocker, Shuo Li
Computational Methods and Clinical Applications for Spine Imaging - 4th International Workshop and Challenge, CSI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10182, Springer 2016, ISBN 978-3-319-55049-7 [contents] - [i12]Yinong Wang, Jianhua Yao, Holger R. Roth, Joseph E. Burns, Ronald M. Summers:
Multi-Atlas Segmentation with Joint Label Fusion of Osteoporotic Vertebral Compression Fractures on CT. CoRR abs/1601.03375 (2016) - [i11]Yinong Wang, Jianhua Yao, Joseph E. Burns, Ronald M. Summers:
Osteoporotic and Neoplastic Compression Fracture Classification on Longitudinal CT. CoRR abs/1601.07533 (2016) - [i10]Holger R. Roth, Yinong Wang, Jianhua Yao, Le Lu, Joseph E. Burns, Ronald M. Summers:
Deep convolutional networks for automated detection of posterior-element fractures on spine CT. CoRR abs/1602.00020 (2016) - [i9]Yinong Wang, Jianhua Yao, Holger R. Roth, Joseph E. Burns, Ronald M. Summers:
Improving Vertebra Segmentation through Joint Vertebra-Rib Atlases. CoRR abs/1602.00585 (2016) - [i8]Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel J. Mollura, Ronald M. Summers:
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning. CoRR abs/1602.03409 (2016) - [i7]Xiaosong Wang, Le Lu, Hoo-Chang Shin, Lauren Kim, Isabella Nogues, Jianhua Yao, Ronald M. Summers:
Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database. CoRR abs/1603.07965 (2016) - [i6]Hoo-Chang Shin, Kirk Roberts, Le Lu, Dina Demner-Fushman, Jianhua Yao, Ronald M. Summers:
Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation. CoRR abs/1603.08486 (2016) - 2015
- [j37]Jianfei Liu, Shijun Wang, Marius George Linguraru, Jianhua Yao
Computer-aided detection of exophytic renal lesions on non-contrast CT images. Medical Image Anal. 19(1): 15-29 (2015) - [j36]Ken C. L. Wong, Ronald M. Summers, Electron Kebebew, Jianhua Yao
Tumor growth prediction with reaction-diffusion and hyperelastic biomechanical model by physiological data fusion. Medical Image Anal. 25(1): 72-85 (2015) - [j35]Shuo Li
Guest Editorial Special Issue on Spine Imaging, Image-Based Modeling, and Image Guided Intervention. IEEE Trans. Medical Imaging 34(8): 1625-1626 (2015) - [c119]Hoo-Chang Shin, Le Lu
Interleaved text/image Deep Mining on a large-scale radiology database. CVPR 2015: 1090-1099 - [c118]Ken C. L. Wong, Ronald M. Summers, Electron Kebebew, Jianhua Yao
Pancreatic Tumor Growth Prediction with Multiplicative Growth and Image-Derived Motion. IPMI 2015: 501-513 - [c117]Holger R. Roth
Anatomy-specific classification of medical images using deep convolutional nets. ISBI 2015: 101-104 - [c116]Jiamin Liu, Divya Narayanan, Kevin W. Chang, Lauren Kim, Evrim Turkbey, Le Lu
Automated segmentation of the thyroid gland on CT using multi-atlas label fusion and random forest. ISBI 2015: 1114-1117 - [c115]James Stieger, Joseph E. Burns, Jianhua Yao
Dynamic cortex stripping for vertebra evaluation. Computer-Aided Diagnosis 2015: 94143D - [c114]Jiamin Liu, Kevin W. Chang, Lauren Kim, Evrim Turkbey, Le Lu
Automated segmentation of thyroid gland on CT images with multi-atlas label fusion and random classification forest. Computer-Aided Diagnosis 2015: 941413 - [c113]Ken C. L. Wong, Michael Tee, Marcus Chen, David A. Bluemke
Myocardial strain estimation from CT: towards computer-aided diagnosis on infarction identification. Computer-Aided Diagnosis 2015: 941434 - [c112]Yinong Wang, Jianhua Yao
Multi-atlas Segmentation with Joint Label Fusion of Osteoporotic Vertebral Compression Fractures on CT. CSI@MICCAI 2015: 74-84 - [c111]Ken C. L. Wong, Michael Tee, Marcus Chen, David A. Bluemke
Computer-Aided Infarction Identification from Cardiac CT Images: A Biomechanical Approach with SVM. MICCAI (2) 2015: 144-151 - [i5]Holger R. Roth, Christopher T. Lee, Hoo-Chang Shin, Ari Seff, Lauren Kim, Jianhua Yao, Le Lu, Ronald M. Summers:
Anatomy-specific classification of medical images using deep convolutional nets. CoRR abs/1504.04003 (2015) - [i4]Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers:
Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation. CoRR abs/1505.00670 (2015) - [i3]Holger R. Roth, Le Lu, Jiamin Liu, Jianhua Yao, Ari Seff, Kevin M. Cherry, Lauren Kim, Ronald M. Summers:
Improving Computer-aided Detection using Convolutional Neural Networks and Random View Aggregation. CoRR abs/1505.03046 (2015) - 2014
- [j34]Jiamin Liu, Sanket Pattanaik, Jianhua Yao
Computer aided detection of epidural masses on computed tomography scans. Comput. Medical Imaging Graph. 38(7): 606-612 (2014) - [j33]Jianhua Yao
Cortical shell unwrapping for vertebral body abnormality detection on computed tomography. Comput. Medical Imaging Graph. 38(7): 628-638 (2014) - [j32]Chengjun Yao, Yixun Liu, Jianhua Yao
Augment low-field intra-operative MRI with preoperative MRI using a hybrid non-rigid registration method. Comput. Methods Programs Biomed. 117(2): 114-124 (2014) - [j31]Yixun Liu, Samira M. Sadowski, Allison B. Weisbrod, Electron Kebebew, Ronald M. Summers, Jianhua Yao
Patient specific tumor growth prediction using multimodal images. Medical Image Anal. 18(3): 555-566 (2014) - [j30]Jianfei Liu, Shijun Wang, Marius George Linguraru, Jianhua Yao
Tumor sensitive matching flow: A variational method to detecting and segmenting perihepatic and perisplenic ovarian cancer metastases on contrast-enhanced abdominal CT. Medical Image Anal. 18(5): 725-739 (2014) - [c110]Jianhua Yao
Automated extraction of anatomic landmarks on vertebrae based on anatomic knowledge and geometrical constraints. ISBI 2014: 397-400 - [c109]Jiamin Liu, Jocelyn Zhao, Joanne Hoffman, Jianhua Yao
Detection and station mapping of mediastinal lymph nodes on thoracic computed tomography using spatial prior from multi-atlas label fusion. ISBI 2014: 1107-1110 - [c108]Jiamin Liu, Jocelyn Zhao, Joanne Hoffman, Jianhua Yao
Mediastinal lymph node detection on thoracic CT scans using spatial prior from multi-atlas label fusion. Computer-Aided Diagnosis 2014: 90350M - [c107]Weidong Zhang, Jiamin Liu, Jianhua Yao
Reducing false positives of small bowel segmentation on CT scans by localizing colon regions. Computer-Aided Diagnosis 2014: 90350Z - [c106]Hector E. Munoz
Vertebral degenerative disc disease severity evaluation using random forest classification. Computer-Aided Diagnosis 2014: 90353A - [c105]Le Lu
Multilevel image recognition using discriminative patches and kernel covariance descriptor. Computer-Aided Diagnosis 2014: 903528 - [c104]Ken C. L. Wong, Ronald M. Summers, Electron Kebebew, Jianhua Yao
Tumor Growth Prediction with Hyperelastic Biomechanical Model, Physiological Data Fusion, and Nonlinear Optimization. MICCAI (2) 2014: 25-32 - [c103]David Allen, Le Lu
Robust automated lymph node segmentation with random forests. Image Processing 2014: 90343X - [c102]Jianfei Liu, Jianhua Yao
Locally constrained active contour: a region-based level set for ovarian cancer metastasis segmentation. Image Processing 2014: 903404 - [i2]Holger R. Roth, Jianhua Yao, Le Lu, James Stieger, Joseph E. Burns, Ronald M. Summers:
Detection of Sclerotic Spine Metastases via Random Aggregation of Deep Convolutional Neural Network Classifications. CoRR abs/1407.5976 (2014) - 2013
- [j29]Ulas Bagci
Synergistic combination of clinical and imaging features predicts abnormal imaging patterns of pulmonary infections. Comput. Biol. Medicine 43(9): 1241-1251 (2013) - [j28]Ulas Bagci
Joint segmentation of anatomical and functional images: Applications in quantification of lesions from PET, PET-CT, MRI-PET, and MRI-PET-CT images. Medical Image Anal. 17(8): 929-945 (2013) - [j27]Xinjian Chen
Kidney Tumor Growth Prediction by Coupling Reaction-Diffusion and Biomechanical Model. IEEE Trans. Biomed. Eng. 60(1): 169-173 (2013) - [j26]Jianhua Yao
Automatic Segmentation and Measurement of Pleural Effusions on CT. IEEE Trans. Biomed. Eng. 60(7): 1834-1840 (2013) - [j25]Weidong Zhang, Jiamin Liu, Jianhua Yao
Mesenteric Vasculature-Guided Small Bowel Segmentation on 3-D CT. IEEE Trans. Medical Imaging 32(11): 2006-2021 (2013) - [c101]Zhuoshi Wei, Weidong Zhang, Jianfei Liu, Shijun Wang, Jianhua Yao
Computer-aided detection of colitis on computed tomography using a visual codebook. ISBI 2013: 141-144 - [c100]Weidong Zhang, Jiamin Liu, Jianhua Yao
Automatic anatomical labeling of abdominal arteries for small bowel evaluation on 3D CT scans. ISBI 2013: 210-213 - [c99]Yixun Liu, Samira M. Sadowski, Allison B. Weisbrod, Electron Kebebew, Ronald M. Summers, Jianhua Yao
Tumor growth modeling based on dual phase CT and FDG-PET. ISBI 2013: 394-397 - [c98]Jianfei Liu, Shijun Wang, Marius George Linguraru, Jianhua Yao
Augmenting tumor sensitive matching flow to improve detection and segmentation of ovarian cancer metastases within a PDE framework. ISBI 2013: 652-655 - [c97]Hector E. Muñoz, Jianhua Yao
Detection of vertebral degenerative disc disease based on cortical shell unwrapping. Computer-Aided Diagnosis 2013: 86700C - [c96]Jianhua Yao
Computer assisted measurement of femoral cortex thickening on radiographs. Computer-Aided Diagnosis 2013: 86703C - [c95]Weidong Zhang, Jiamin Liu, Jianhua Yao
Segmenting the thoracic, abdominal and pelvic musculature on CT scans combining atlas-based model and active contour model. Computer-Aided Diagnosis 2013: 867008 - [c94]Jianfei Liu, Shijun Wang, Marius George Linguraru, Jianhua Yao
A Variational Framework for Joint Detection and Segmentation of Ovarian Cancer Metastases. MICCAI (2) 2013: 83-90 - [c93]Yixun Liu, Samira M. Sadowski, Allison B. Weisbrod, Electron Kebebew, Ronald M. Summers, Jianhua Yao
Multimodal Image Driven Patient Specific Tumor Growth Modeling. MICCAI (3) 2013: 283-290 - [c92]Jianfei Liu, Shijun Wang, Jianhua Yao
Manifold Diffusion for Exophytic Kidney Lesion Detection on Non-contrast CT Images. MICCAI (1) 2013: 340-347 - [c91]Yixun Liu, Songtao Liu, Albert C. Lardo, Karl H. Schuleri, Marcelo S. Nacif
Build 4-dimensional myocardial model for dynamic CT images. Image Processing 2013: 86691Q - 2012
- [j24]Ulas Bagci
Computer-assisted detection of infectious lung diseases: A review. Comput. Medical Imaging Graph. 36(1): 72-84 (2012) - [j23]Ulas Bagci
Corrigendum to "Computer-assisted detection of infectious lung diseases: A review" [Comput. Med. Imag. Graph. 36(2012) 72-84]. Comput. Medical Imaging Graph. 36(2): 169 (2012) - [j22]Jesus Caban, Jianhua Yao
Enhancing Image Analytic Tools by Fusing Quantitative Physiological Values with Image Features. J. Digit. Imaging 25(4): 550-557 (2012) - [j21]Ulas Bagci
Automatic Detection and Quantification of Tree-in-Bud (TIB) Opacities From CT Scans. IEEE Trans. Biomed. Eng. 59(6): 1620-1632 (2012) - [j20]Jiamin Liu, Kevin W. Chang, Jianhua Yao
Predicting Polyp Location on Optical Colonoscopy From CT Colonography by Minimal-Energy Curve Modeling of the Colonoscope Path. IEEE Trans. Biomed. Eng. 59(12): 3531-3540 (2012) - [j19]Xinjian Chen
Medical Image Segmentation by Combining Graph Cuts and Oriented Active Appearance Models. IEEE Trans. Image Process. 21(4): 2035-2046 (2012) - [j18]Xinjian Chen
A Framework of Whole Heart Extracellular Volume Fraction Estimation for Low-Dose Cardiac CT Images. IEEE Trans. Inf. Technol. Biomed. 16(5): 842-851 (2012) - [j17]Xiuli Li, Xinjian Chen
Automatic Renal Cortex Segmentation Using Implicit Shape Registration and Novel Multiple Surfaces Graph Search. IEEE Trans. Medical Imaging 31(10): 1849-1860 (2012) - [j16]Xiuli Li, Xinjian Chen
Erratum to "Automatic Renal Cortex Segmentation Using Implicit Shape Registration and Novel Multiple Surfaces Graph Search". IEEE Trans. Medical Imaging 31(12): 2366 (2012) - [c90]Jiaxin Huang, David A. Bluemke
A cross-platform and distributive database system for cumulative tumor measurement. EMBC 2012: 1266-1269 - [c89]Sovira Tan, Jianhua Yao
High precision semi-automated vertebral height measurement using computed tomography: A phantom study. EMBC 2012: 1554-1557 - [c88]Xunlei Wu, Jianhua Yao
Integration of a Multigrid ODE solver into an open medical simulation framework. EMBC 2012: 3090-3093 - [c87]Yixun Liu, Marcelo Souto Nacif
Point-guided modeling and segmentation of myocardium for low dose cardiac CT images. EMBC 2012: 5327-5330 - [c86]Shijun Wang, Matthew McKenna
ROC-like optimization by sample ranking: Application to CT colonography. ISBI 2012: 478-481 - [c85]Zhuoshi Wei, Shijun Wang, Nicholas Petrick, Jianhua Yao
Supine and prone CT colonography registration by matching graphs of teniae coli. ISBI 2012: 712-715 - [c84]Weidong Zhang, Jiamin Liu, Jianhua Yao
Mesenteric vasculature-guided small bowel segmentation on high-resolution 3D CT angiography scans. ISBI 2012: 1280-1283 - [c83]Jiamin Liu, Chin-Hsiang Feng, Jeremy Hua
Automatic detection and segmentation of abdominopelvic lymph nodes on computed tomography scans. ISBI 2012: 1455-1458 - [c82]Ulas Bagci
Automatic quantification of Tree-in-Bud patterns from CT scans. ISBI 2012: 1459-1462 - [c81]Ananda S. Chowdhury
Automated detection of pelvic fractures from volumetric CT images. ISBI 2012: 1687-1690 - [c80]Jianhua Yao
Sclerotic rib metastases detection on routine CT images. ISBI 2012: 1767-1770 - [c79]Zhuoshi Wei, Jianhua Yao
Computer-aided marginal artery detection on computed tomographic colonography. Computer-Aided Diagnosis 2012: 83150Z - [c78]Weidong Zhang, Jiamin Liu, Jianhua Yao
Computer-aided mesenteric small vessel segmentation on high-resolution 3D contrast-enhanced CT angiography scans. Computer-Aided Diagnosis 2012: 83151T - [c77]Jianhua Yao
Quantitative vertebral compression fracture evaluation using a height compass. Computer-Aided Diagnosis 2012: 83151X - [c76]Tatjana Wiese, Jianhua Yao
Detection of sclerotic bone metastases in the spine using watershed algorithm and graph cut. Computer-Aided Diagnosis 2012: 831512 - [c75]Xinjian Chen
A Fully Automated Framework for Renal Cortex Segmentation. Abdominal Imaging 2012: 208-217 - [c74]Ulas Bagci
Co-segmentation of Functional and Anatomical Images. MICCAI (3) 2012: 459-467 - [c73]Jianhua Yao
Detection of Vertebral Body Fractures Based on Cortical Shell Unwrapping. MICCAI (3) 2012: 509-516 - [c72]Xiuli Li, Xinjian Chen
Incorporation of physical constraints in optimal surface search for renal cortex segmentation. Image Processing 2012: 83142H - [c71]Xinjian Chen
A framework of whole heart extracellular volume fraction estimation for low dose cardiac CT images. Image Processing 2012: 831429 - 2011
- [j15]Xinjian Chen
FEM-Based 3-D Tumor Growth Prediction for Kidney Tumor. IEEE Trans. Biomed. Eng. 58(3): 463-467 (2011) - [c70]Ulas Bagci
Automatic detection of tree-in-bud patterns for computer assisted diagnosis of respiratory tract infections. EMBC 2011: 5096-5099 - [c69]Jesus J. Caban, Jianhua Yao
Monitoring pulmonary fibrosis by fusing clinical, physiological, and computed tomography features. EMBC 2011: 6216-6219 - [c68]Ulas Bagci
A graph-theoretic approach for segmentation of PET images. EMBC 2011: 8479-8482 - [c67]Ananda S. Chowdhury
Detection of pelvic fractures using graph cuts and curvatures. ICIP 2011: 1573-1576 - [c66]Tatjana Wiese, Joseph E. Burns, Jianhua Yao
Computer-aided detection of sclerotic bone metastases in the spine using watershed algorithm and support vector machines. ISBI 2011: 152-155 - [c65]John Bliton, Jianhua Yao
Improved 3D automatic segmentation and measurement of pleural effusions. ISBI 2011: 1954-1957 - [c64]Xiaofeng Liu, Marius George Linguraru, Jianhua Yao
Abdominal multi-organ localization on contrast-enhanced CT based on maximum a posteriori probability and minimum volume overlap. ISBI 2011: 2083-2086 - [c63]Jesus J. Caban, David Liao, Jianhua Yao
Enhancing image classification models with multi-modal biomarkers. Computer-Aided Diagnosis 2011: 79631T - [c62]Zhuoshi Wei, Jianhua Yao
Computer-aided teniae coli detection using height maps from computed tomographic colonography images. Computer-Aided Diagnosis 2011: 79631G - [c61]Javed M. Aman, Jianhua Yao
Automatic colonic polyp shape determination using content-based image retrieval. Computer-Aided Diagnosis 2011: 79632G - [c60]Jianhua Yao
Computer-aided assessment of pulmonary disease in novel swine-origin H1N1 influenza on CT. Computer-Aided Diagnosis 2011: 79632W - [c59]Jiamin Liu, Jeremy Hua
Computer-aided abdominal lymph node detection using contrast-enhanced CT images. Computer-Aided Diagnosis 2011: 796313 - [c58]Ulas Bagci
Learning Shape and Texture Characteristics of CT Tree-in-Bud Opacities for CAD Systems. MICCAI (3) 2011: 215-222 - [c57]Xiuli Li, Xinjian Chen
Renal Cortex Segmentation Using Optimal Surface Search with Novel Graph Construction. MICCAI (3) 2011: 387-394 - [c56]Xinjian Chen
Automatic 3D kidney segmentation based on shape constrained GC-OAAM. Image Processing 2011: 79623M - [c55]Ivica Kopriva, Xinjian Chen
Nonlinear band expansion and nonnegative matrix underapproximation for unsupervised segmentation of a liver from a multi-phase CT image. Image Processing 2011: 79623A - [i1]Ulas Bagci, Jianhua Yao, Jesus Caban, Anthony F. Suffredini, Tara N. Palmore, Daniel J. Mollura:
Learning Shape and Texture Characteristics of CT Tree-in-Bud Opacities for CAD Systems. CoRR abs/1106.5186 (2011) - 2010
- [j14]Shijun Wang, Jianhua Yao
Combining Statistical and Geometric Features for Colonic Polyp Detection in Ctc Based on Multiple Kernel Learning. Int. J. Comput. Intell. Appl. 9(1): 1-15 (2010) - [j13]Ananda S. Chowdhury
Colonic fold detection from computed tomographic colonography images using diffusion-FCM and level sets. Pattern Recognit. Lett. 31(9): 876-883 (2010) - [j12]Jianhua Yao
Reversible Projection Technique for Colon Unfolding. IEEE Trans. Biomed. Eng. 57(12): 2861-2869 (2010) - [j11]Marcelo Adrián Castro
Template-Based B 1 Inhomogeneity Correction in 3T MRI Brain Studies. IEEE Trans. Medical Imaging 29(11): 1927-1941 (2010) - [c54]Nathaniel Strawn, Jianhua Yao
Tracking kidney tumor dimensional measurements via image morphing. ICIP 2010: 1721-1724 - [c53]Xinjian Chen
3D automatic anatomy segmentation based on graph cut-oriented active appearance models. ICIP 2010: 3653-3656 - [c52]Kevin W. Chang, Jiamin Liu, Jianhua Yao
Improved method for predicting polyp location from CT colonography for optical colonoscopy. ICIP 2010: 4365-4368 - [c51]Marcelo Adrián Castro
Template method to improve brain segmentation from inhomogeneous brain magnetic resonance images at high fields. ISBI 2010: 73-76 - [c50]Daniel Lewis Sussman
Automated measurement and segmentation of abdominal adipose tissue in MRI. ISBI 2010: 936-939 - [c49]Javed M. Aman, Jianhua Yao
Content-based image retrieval on CT colonography using rotation and scale invariant features and bag-of-words model. ISBI 2010: 1357-1360 - [c48]Xinjian Chen
FEM Based 3D Tumor Growth Prediction for Kidney Tumor. MIAR 2010: 159-168 - [c47]Xiaofeng Liu, Marius George Linguraru, Jianhua Yao
Organ Pose Distribution Model and an MAP Framework for Automated Abdominal Multi-organ Localization. MIAR 2010: 393-402 - [c46]Javed M. Aman, Jianhua Yao
Prediction of polyp histology on CT colonography using content-based image retrieval. Computer-Aided Diagnosis 2010: 76240D - [c45]Shijun Wang, Jianhua Yao
Matching colonic polyps using correlation optimized warping. Computer-Aided Diagnosis 2010: 76240E - [c44]Javed M. Aman, Ronald M. Summers, Jianhua Yao
Characterizing Colonic Detections in CT Colonography Using Curvature-Based Feature Descriptor and Bag-of-Words Model. Virtual Colonoscopy and Abdominal Imaging 2010: 15-23 - [c43]Zhuoshi Wei, Jianhua Yao
Teniae Coli Extraction in Human Colon for Computed Tomographic Colonography Images. Virtual Colonoscopy and Abdominal Imaging 2010: 98-104 - [c42]Jianhua Yao
Realistic colon simulation in CT colonography using mesh skinning. Image-Guided Procedures 2010: 76252J - [c41]Daniel Lewis Sussman, Jianhua Yao
Automated fat measurement and segmentation with intensity inhomogeneity correction. Image Processing 2010: 76233X
2000 – 2009
- 2009
- [j10]Jinshan Tang
Introduction to the Issue on Digital Image Processing Techniques for Oncology. IEEE J. Sel. Top. Signal Process. 3(1): 1-3 (2009) - [j9]Jianhua Yao
Breast Tumor Analysis in Dynamic Contrast Enhanced MRI Using Texture Features and Wavelet Transform. IEEE J. Sel. Top. Signal Process. 3(1): 94-100 (2009) - [j8]Jinshan Tang
Digital image processing and pattern recognition techniques for the detection of cancer. Pattern Recognit. 42(6): 1015-1016 (2009) - [j7]Jianhua Yao
Employing topographical height map in colonic polyp measurement and false positive reduction. Pattern Recognit. 42(6): 1029-1040 (2009) - [j6]Marius George Linguraru, Jianhua Yao
Renal tumor quantification and classification in contrast-enhanced abdominal CT. Pattern Recognit. 42(6): 1149-1161 (2009) - [c40]Jianhua Yao
Computer Aided Evaluation of Pleural Effusion Using Chest CT Images. ISBI 2009: 241-244 - [c39]Javed M. Aman, Jianhua Yao
Reducing the False Positive Rate of Computer Aided Detection for CT Colonography Using Content Based Image Retrieval. ISBI 2009: 915-918 - [c38]Shijun Wang, Jianhua Yao
Centerline Registration of Prone and Supine CT Colonography Scans Based on Correlation Optimized Warping and Anatomical Landmarks. ISBI 2009: 955-958 - [c37]Marius George Linguraru, Rabindra Gautam, James Peterson, Jianhua Yao
Renal Tumor Quantification and Classification in Triple-Phase Contrast-Enhanced Abdominal CT. ISBI 2009: 1310-1313 - [c36]Ananda S. Chowdhury
Two methods of Haustral fold detection from computed tomographic virtual colonoscopy images. Computer-Aided Diagnosis 2009: 72602U - [c35]Shijun Wang, Jianhua Yao
Combining heterogeneous features for colonic polyp detection in CTC based on semi-definite programming. Computer-Aided Diagnosis 2009: 72602R - [c34]Jianhua Yao
Statistical Location Model for Abdominal Organ Localization. MICCAI (1) 2009: 9-17 - [c33]Jianhua Yao
Employing anatomical knowledge in vertebral column labeling. Image Processing 2009: 72593Y - 2008
- [j5]Sovira Tan, Jianhua Yao
Computer Aided Evaluation of Ankylosing Spondylitis Using High-Resolution CT. IEEE Trans. Medical Imaging 27(9): 1252-1267 (2008) - [c32]Ananda S. Chowdhury, Jianhua Yao
Detection of anatomical landmarks in human colon from computed tomographic colonography images. ICPR 2008: 1-4 - [c31]Shijun Wang, Jianhua Yao
Matching colonic polyps from prone and supine CT colonography scans based on statistical curvature information. ICPR 2008: 1-4 - [c30]Jianhua Yao
Computer-aided grading of lymphangioleiomyomatosis (LAM) using HRCT. ICPR 2008: 1-4 - [c29]Shijun Wang, Jianhua Yao
DMLLE: a large-scale dimensionality reduction method for detection of polyps in CT colonography. Computer-Aided Diagnosis 2008: 69150C - [c28]Jeremy Chen, Jianhua Yao
Automatic Determination of Arterial Input Function for Dynamic Contrast Enhanced MRI in Tumor Assessment. MICCAI (1) 2008: 594-601 - [c27]Sovira Tan, Jianhua Yao
Acetabular rim and surface segmentation for hip surgery planning and dysplasia evaluation. Image-Guided Procedures 2008: 69181N - [c26]Sovira Tan, Jianhua Yao
Vertebral surface registration using ridgelines/crestlines. Image Processing 2008: 69140H - 2007
- [c25]Jianhua Yao
CT Colonography Computer-Aided Polyp Detection using Topographical Height Map. ICIP (5) 2007: 21-24 - [c24]Jianhua Yao
Computer Aided Detection of Lytic Bone Metastases in the Spine Using Routine CT Images. ISBI 2007: 512-515 - [c23]Sovira Tan, Jianhua Yao
3D Multi-Scale Level Set Segmentation of Vertebrae. ISBI 2007: 896-899 - [c22]Jianhua Yao
Detection and Segmentation of Colonic Polyps on Haustral Folds. ISBI 2007: 900-903 - [c21]Jiang Li, Adam Huang
Validating Pareto optimal operation parameters of polyp detection algorithms for CT colonography. Computer-Aided Diagnosis 2007: 65142G - [c20]Jianhua Yao
Collaborative classifiers in CT colonography CAD. Computer-Aided Diagnosis 2007: 65142H - [c19]Jesus J. Caban, Jianhua Yao
Texture-based computer-aided diagnosis system for lung fibrosis. Computer-Aided Diagnosis 2007: 651439 - [c18]David Chen, Jianhua Yao
Improved livewire method for segmentation on low contrast and noisy images. Image Processing 2007: 65122Z - [c17]Sovira Tan, Jianhua Yao
Level sets on non-planar manifolds for ridge detection on isosurfaces. Image Processing 2007: 651230 - 2006
- [j4]Jiang Li, Jianhua Yao
An Efficient Feature Selection Algorithm for Computer-aided Polyp Detection. Int. J. Artif. Intell. Tools 15(6): 893-916 (2006) - [c16]Sovira Tan, Jianhua Yao
Computer aided evaluation of ankylosing spondylitis. ISBI 2006: 339-342 - [c15]Jianhua Yao
Automated spinal column extraction and partitioning. ISBI 2006: 390-393 - [c14]Jiang Li, Marek Franaszek, Nicholas Petrick, Jianhua Yao
Wavelet method for CT colonography computer-aided polyp detection. ISBI 2006: 1316-1319 - [c13]Jiang Li, Adam Huang, Jianhua Yao
Automatic colonic polyp detection using multi-objective evolutionary techniques. Image Processing 2006: 61445E - [c12]Jiang Li, Jianhua Yao
Hybrid committee classifier for a computerized colonic polyp detection system. Image Processing 2006: 61445A - [c11]Sovira Tan, Jianhua Yao
Level set based vertebra segmentation for the evaluation of Ankylosing Spondylitis. Image Processing 2006: 614407 - [c10]Jianhua Yao
Computer aided lytic bone metastasis detection using regular CT images. Image Processing 2006: 614459 - [c9]Wenzhu Lu, Jianhua Yao
DCE-MRI Segmentation and Motion Correction Based on Active Contour Model and Forward Mapping. SNPD 2006: 208-212 - 2005
- [c8]Jiang Li, Jianhua Yao, Ronald M. Summers, Amy K. Hara:
An Efficient Feature Selection Algorithm for Computer-Aided Polyp Detection. FLAIRS 2005: 381-386 - [c7]Jianhua Yao
Classification and calculation of breast fibroglandular tissue volume on SPGR fat suppressed MRI. Image Processing 2005 - 2004
- [j3]Jianhua Yao
Colonic polyp segmentation in CT colonography-based on fuzzy clustering and deformable models. IEEE Trans. Medical Imaging 23(11): 1344-1352 (2004) - [c6]Jianhua Yao
Computer Aided Monitoring of Fibrous Dysplasia Disease in Craniofacial Bones. ISBI 2004: 245-248 - 2003
- [j2]Jianhua Yao
Non-Rigid Registration And Correspondence Finding In Medical Image Analysis Using Multiple-Layer Flexible Mesh Template Matching. Int. J. Pattern Recognit. Artif. Intell. 17(7): 1145-1165 (2003) - [c5]Jianhua Yao
Assessing Accuracy Factors in Deformable 2D/3D Medical Image Registration Using a Statistical Pelvis Model. ICCV 2003: 1329-1334 - [c4]Jianhua Yao
A multiple-layer flexible mesh template matching method for non-rigid registration between a pelvis model and CT images. Image Processing 2003 - 2001
- [c3]Jianhua Yao
Construction and simplification of bone density models. Image Processing 2001 - 2000
- [c2]Jianhua Yao
Tetrahedral Mesh Modeling of Density Data for Anatomical Atlases and Intensity-Based Registration. MICCAI 2000: 531-540
1990 – 1999
- 1999
- [j1]Russell H. Taylor, Leo Joskowicz
Computer-integrated revision total hip replacement surgery: concept and preliminary results. Medical Image Anal. 3(3): 301-319 (1999) - [c1]Jianhua Yao
A Progressive Cut Refinement Scheme for Revision Total Hip Replacement Surgery Using C-arm Fluoroscopy. MICCAI 1999: 1010-1019
Coauthor Index
Jesus J. Caban
aka: Jesus Caban
aka: Jesus Caban
Nicholas Petrick
aka: Nicholas A. Petrick
aka: Nicholas A. Petrick
Holger Roth
aka: Holger R. Roth
aka: Holger R. Roth
[j51] [c143] [c141] [p4] [i20] [j48] [c137] [c136] [c135] [i19] [i18] [i17] [i16] [j46] [j45] [c134] [c133] [c132] [c131] [c130] [c129] [c128] [p3] [p2] [p1] [i14] [i13] [j44] [j43] [j42] [j41] [j40] [j39] [j38] [c127] [c126] [c125] [c124] [c123] [c122] [c121] [c120] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [j37] [j36] [c119] [c118] [c117] [c116] [c115] [c114] [c113] [c112] [c111] [i5] [i4] [i3] [j34] [j33] [j31] [j30] [c110] [c109] [c108] [c107] [c106] [c105] [c104] [c103] [c102] [i2] [j27] [j26] [j25] [c101] [c100] [c99] [c98] [c97] [c96] [c95] [c94] [c93] [c92] [c91] [j20] [j18] [c90] [c87] [c86] [c85] [c84] [c83] [c81] [c80] [c79] [c78] [c77] [c76] [c73] [c71] [j15] [c67] [c66] [c65] [c64] [c62] [c61] [c60] [c59] [c56] [j14] [j13] [j12] [c52] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [j7] [j6] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [j5] [c32] [c31] [c29] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c17] [j4] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c8] [j3]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-26 01:55 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: