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Chengjia Wang
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2020 – today
- 2024
- [j14]Giorgos Papanastasiou, Nikolaos Dikaios, Jiahao Huang, Chengjia Wang, Guang Yang:
Is Attention all You Need in Medical Image Analysis? A Review. IEEE J. Biomed. Health Informatics 28(3): 1398-1411 (2024) - [c13]Qi Wu, Chengjia Wang, Xiaohui Li, Guangxing Wu, Marta Vallejo, Ruixuan Wang:
Audio-Aided Learning Framework for Image Classification with Limited Training Images. ICASSP 2024: 4975-4979 - [i19]Yuchen Mao, Hongwei Li, Wei Pang, Giorgos Papanastasiou, Guang Yang, Chengjia Wang:
SeLoRA: Self-Expanding Low-Rank Adaptation of Latent Diffusion Model for Medical Image Synthesis. CoRR abs/2408.07196 (2024) - [i18]Qin Jiang, Chengjia Wang, Michael Lones, Yingfang Yuan, Wei Pang:
ScaleNet: Scale Invariance Learning in Directed Graphs. CoRR abs/2411.08758 (2024) - [i17]Qin Jiang, Chengjia Wang, Michael Lones, Wei Pang:
Scale Invariance of Graph Neural Networks. CoRR abs/2411.19392 (2024) - 2023
- [j13]Tianliang Yao, Chengjia Wang, Xinyi Wang, Xiang Li, Zhaolei Jiang, Peng Qi:
Enhancing percutaneous coronary intervention with heuristic path planning and deep-learning-based vascular segmentation. Comput. Biol. Medicine 166: 107540 (2023) - [j12]Chengjia Wang, Heye Zhang, Georgios Papanastasiou, Guang Yang:
Editorial: Advances in machine learning methods facilitating collaborative image-based decision making for neuroscience. Frontiers Comput. Neurosci. 17 (2023) - [i16]Giorgos Papanastasiou, Nikolaos Dikaios, Jiahao Huang, Chengjia Wang, Guang Yang:
Is attention all you need in medical image analysis? A review. CoRR abs/2307.12775 (2023) - [i15]Chengjia Wang, Giorgos Papanastasiou:
Explainable unsupervised multi-modal image registration using deep networks. CoRR abs/2308.01994 (2023) - 2022
- [j11]Qinghao Ye, Yuan Gao, Weiping Ding, Zhangming Niu, Chengjia Wang, Yinghui Jiang, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Guang Yang:
Robust weakly supervised learning for COVID-19 recognition using multi-center CT images. Appl. Soft Comput. 116: 108291 (2022) - [j10]Chengjia Wang, Guang Yang, Giorgos Papanastasiou:
Unsupervised Image Registration towards Enhancing Performance and Explainability in Cardiac and Brain Image Analysis. Sensors 22(6): 2125 (2022) - [j9]Jingyu Hao, Chengjia Wang, Guang Yang, Zhifan Gao, Jinglin Zhang, Heye Zhang:
Annealing Genetic GAN for Imbalanced Web Data Learning. IEEE Trans. Multim. 24: 1164-1174 (2022) - [c12]Bingcai Sun, Chengjia Wang, Jinrui Deng, Ying Zhang, Xueqi Wang:
Deep Dynamic-Range Compression of Infrared Video Camera. CICAI (1) 2022: 658-669 - [c11]Xiaodan Xing, Jiahao Huang, Yang Nan, Yinzhe Wu, Chengjia Wang, Zhifan Gao, Simon Walsh, Guang Yang:
CS2: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention. MICCAI (8) 2022: 3-12 - [i14]Chengjia Wang, Guang Yang, Giorgos Papanastasiou:
Unsupervised Image Registration Towards Enhancing Performance and Explainability in Cardiac And Brain Image Analysis. CoRR abs/2203.03638 (2022) - [i13]Xiaodan Xing, Jiahao Huang, Yang Nan, Yinzhe Wu, Chengjia Wang, Zhifan Gao, Simon Walsh, Guang Yang:
CS2: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention. CoRR abs/2206.13394 (2022) - 2021
- [j8]Chengjia Wang, Guang Yang, Giorgos Papanastasiou, Sotirios A. Tsaftaris, David E. Newby, Calum D. Gray, Gillian Macnaught, Tom J. MacGillivray:
DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis. Inf. Fusion 67: 147-160 (2021) - [j7]Tian Xia, Agisilaos Chartsias, Chengjia Wang, Sotirios A. Tsaftaris, Alzheimer's Disease Neuroimaging Initiative:
Learning to synthesise the ageing brain without longitudinal data. Medical Image Anal. 73: 102169 (2021) - [j6]Giorgos Papanastasiou, Mark A. Rodrigues, Chengjia Wang, Kerstin Heurling, Christophe Lucatelli, Rustam Al-Shahi Salman, Joanna M. Wardlaw, Edwin J. R. van Beek, Gerard Thompson:
Pharmacokinetic modelling for the simultaneous assessment of perfusion and 18F-flutemetamol uptake in cerebral amyloid angiopathy using a reduced PET-MR acquisition time: Proof of concept. NeuroImage 225: 117482 (2021) - [j5]Chengjia Wang, Guang Yang, Giorgos Papanastasiou, Heye Zhang, Joel J. P. C. Rodrigues, Victor Hugo C. de Albuquerque:
Industrial Cyber-Physical Systems-Based Cloud IoT Edge for Federated Heterogeneous Distillation. IEEE Trans. Ind. Informatics 17(8): 5511-5521 (2021) - [j4]Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Disentangle, Align and Fuse for Multimodal and Semi-Supervised Image Segmentation. IEEE Trans. Medical Imaging 40(3): 781-792 (2021) - [c10]Chengjia Wang, Guang Yang, Giorgos Papanastasiou:
FIRE: Unsupervised bi-directional inter- and intra-modality registration using deep networks. CBMS 2021: 510-514 - [i12]Qinghao Ye, Yuan Gao, Weiping Ding, Zhangming Niu, Chengjia Wang, Yinghui Jiang, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Guang Yang:
Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images. CoRR abs/2112.04984 (2021) - 2020
- [j3]Ming Li, Chengjia Wang, Heye Zhang, Guang Yang:
MV-RAN: Multiview recurrent aggregation network for echocardiographic sequences segmentation and full cardiac cycle analysis. Comput. Biol. Medicine 120: 103728 (2020) - [j2]Chengjia Wang, Shizhou Dong, Xiaofeng Zhao, Giorgos Papanastasiou, Heye Zhang, Guang Yang:
SaliencyGAN: Deep Learning Semisupervised Salient Object Detection in the Fog of IoT. IEEE Trans. Ind. Informatics 16(4): 2667-2676 (2020) - [c9]Jingyu Hao, Chengjia Wang, Heye Zhang, Guang Yang:
Annealing Genetic GAN for Minority Oversampling. BMVC 2020 - [c8]Haochuan Jiang, Chengjia Wang, Agisilaos Chartsias, Sotirios A. Tsaftaris:
Max-Fusion U-Net for Multi-modal Pathology Segmentation with Attention and Dynamic Resampling. MyoPS@MICCAI 2020: 68-81 - [c7]Yifeng Guo, Chengjia Wang, Heye Zhang, Guang Yang:
Deep Attentive Wasserstein Generative Adversarial Networks for MRI Reconstruction with Recurrent Context-Awareness. MICCAI (2) 2020: 167-177 - [i11]Yifeng Guo, Chengjia Wang, Heye Zhang, Guang Yang:
Deep Attentive Wasserstein Generative Adversarial Networks for MRI Reconstruction with Recurrent Context-Awareness. CoRR abs/2006.12915 (2020) - [i10]Jingyu Hao, Chengjia Wang, Heye Zhang, Guang Yang:
Annealing Genetic GAN for Minority Oversampling. CoRR abs/2008.01967 (2020) - [i9]Haochuan Jiang, Chengjia Wang, Agisilaos Chartsias, Sotirios A. Tsaftaris:
Max-Fusion U-Net for Multi-Modal Pathology Segmentation with Attention and Dynamic Resampling. CoRR abs/2009.02569 (2020)
2010 – 2019
- 2019
- [j1]Chengjia Wang, Keith A. Goatman, James P. Boardman, Erin Beveridge, David E. Newby, Scott I. Semple:
Distance Oriented Particle Swarm Optimizer for Brain Image Registration. IEEE Access 7: 56016-56027 (2019) - [c6]Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Colin Stirrat, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Multimodal Cardiac Segmentation Using Disentangled Representation Learning. STACOM@MICCAI 2019: 128-137 - [c5]Chengjia Wang, Giorgos Papanastasiou, Sotirios A. Tsaftaris, Guang Yang, Calum D. Gray, David E. Newby, Gillian Macnaught, Tom J. MacGillivray:
TPSDicyc: Improved Deformation Invariant Cross-domain Medical Image Synthesis. MLMIR@MICCAI 2019: 245-254 - [c4]Ming Li, Weiwei Zhang, Guang Yang, Chengjia Wang, Heye Zhang, Huafeng Liu, Wei Zheng, Shuo Li:
Recurrent Aggregation Learning for Multi-view Echocardiographic Sequences Segmentation. MICCAI (2) 2019: 678-686 - [i8]Xiahai Zhuang, Lei Li, Christian Payer, Darko Stern, Martin Urschler, Mattias P. Heinrich, Julien Oster, Chunliang Wang, Örjan Smedby, Cheng Bian, Xin Yang, Pheng-Ann Heng, Aliasghar Mortazi, Ulas Bagci, Guanyu Yang, Chenchen Sun, Gaetan Galisot, Jean-Yves Ramel, Thierry Brouard, Qianqian Tong, Weixin Si, Xiangyun Liao, Guodong Zeng, Zenglin Shi, Guoyan Zheng, Chengjia Wang, Tom J. MacGillivray, David E. Newby, Kawal S. Rhode, Sébastien Ourselin, Raad Mohiaddin, Jennifer Keegan, David N. Firmin, Guang Yang:
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge. CoRR abs/1902.07880 (2019) - [i7]Chengjia Wang, Giorgos Papanastasiou, Agisilaos Chartsias, Grzegorz Jacenkow, Sotirios A. Tsaftaris, Heye Zhang:
FIRE: Unsupervised bi-directional inter-modality registration using deep networks. CoRR abs/1907.05062 (2019) - [i6]Ming Li, Weiwei Zhang, Guang Yang, Chengjia Wang, Heye Zhang, Huafeng Liu, Wei Zheng, Shuo Li:
Recurrent Aggregation Learning for Multi-View Echocardiographic Sequences Segmentation. CoRR abs/1907.11292 (2019) - [i5]Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Disentangle, align and fuse for multimodal and zero-shot image segmentation. CoRR abs/1911.04417 (2019) - [i4]Tian Xia, Agisilaos Chartsias, Chengjia Wang, Sotirios A. Tsaftaris:
Learning to synthesise the ageing brain without longitudinal data. CoRR abs/1912.02620 (2019) - 2018
- [c3]Chengjia Wang, Gillian Macnaught, Giorgos Papanastasiou, Tom J. MacGillivray, David E. Newby:
Unsupervised Learning for Cross-Domain Medical Image Synthesis Using Deformation Invariant Cycle Consistency Networks. SASHIMI@MICCAI 2018: 52-60 - [c2]Chengjia Wang, Tom J. MacGillivray, Gillian Macnaught, Guang Yang, David E. Newby:
A Two-Stage U-Net Model for 3D Multi-class Segmentation on Full-Resolution Cardiac Data. STACOM@MICCAI 2018: 191-199 - [i3]Chengjia Wang, Keith A. Goatman, James P. Boardman, Erin Beveridge, David E. Newby, Scott Semple:
A Distance Oriented Kalman Filter Particle Swarm Optimizer Applied to Multi-Modality Image Registration. CoRR abs/1803.07423 (2018) - [i2]Chengjia Wang, Tom J. MacGillivray, Gillian Macnaught, Guang Yang, David E. Newby:
A two-stage 3D Unet framework for multi-class segmentation on full resolution image. CoRR abs/1804.04341 (2018) - [i1]Chengjia Wang, Gillian Macnaught, Giorgos Papanastasiou, Tom J. MacGillivray, David E. Newby:
Unsupervised learning for cross-domain medical image synthesis using deformation invariant cycle consistency networks. CoRR abs/1808.03944 (2018) - 2015
- [c1]Chengjia Wang, Keith A. Goatman, Tom J. MacGillivray, Erin Beveridge, Yolanda G. Sourgia Koutraki, James P. Boardman, Colin Stirrat, Sarah A. Sparrow, Emma Moore, Rozi Paraky, Shirjel Alam, Marc R. Dweck, Calvin Chin, Calum D. Gray, David E. Newby, Scott Semple:
Automatic multi-parametric MR registration method using mutual information based on adaptive asymmetric k-means binning. ISBI 2015: 1089-1092
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