Co-Occurrence Feature Learning for Skeleton Based Action Recognition Using Regularized Deep LSTM Networks. - Wentao Zhu 001; Cuiling Lan; Junliang Xing; Wenjun Zeng 001; Yanghao Li; Li Shen 005; Xiaohui Xie (AAAI, 2016)

Adversarial Deep Structural Networks for Mammographic Mass Segmentation. - Wentao Zhu 001; Xiaohui Xie (CoRR, 2016)

Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification. - Wentao Zhu 001; Qi Lou; Yeeleng Scott Vang; Xiaohui Xie (MICCAI (3), 2017)

DeepLung: 3D Deep Convolutional Nets for Automated Pulmonary Nodule Detection and Classification. - Wentao Zhu 001; Chaochun Liu; Wei Fan 001; Xiaohui Xie (CoRR, 2017)

Adversarial deep structured nets for mass segmentation from mammograms. - Wentao Zhu 001; Xiang Xiang 001; Trac D. Tran; Gregory D. Hager; Xiaohui Xie (ISBI, 2018)

DeepEM: Deep 3D ConvNets with EM for Weakly Supervised Pulmonary Nodule Detection. - Wentao Zhu 001; Yeeleng Scott Vang; Yufang Huang; Xiaohui Xie (MICCAI (2), 2018)

DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification. - Wentao Zhu 001; Chaochun Liu; Wei Fan 001; Xiaohui Xie (WACV, 2018)

AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anatomical segmentation. - Wentao Zhu 001; Yufang Huang; Hui Tang; Zhen Qian; Nan Du 001; Wei Fan 001; Xiaohui Xie (CoRR, 2018)

Privacy-Preserving Federated Brain Tumour Segmentation. - Wenqi Li 001; Fausto Milletarì; Daguang Xu; Nicola Rieke; Jonny Hancox; Wentao Zhu 001; Maximilian Baust; Yan Cheng; Sébastien Ourselin; M. Jorge Cardoso; Andrew Feng (MLMI@MICCAI, 2019)

Cardiac Segmentation of LGE MRI with Noisy Labels. - Holger Roth; Wentao Zhu 001; Dong Yang 005; Ziyue Xu 001; Daguang Xu (STACOM@MICCAI, 2019)

Deep Learning for Automated Medical Image Analysis. - Wentao Zhu 001 (CoRR, 2019)

Neural Multi-Scale Self-Supervised Registration for Echocardiogram Dense Tracking. - Wentao Zhu 001; Yufang Huang; Mani A. Vannan; Shizhen Liu; Daguang Xu; Wei Fan 001; Zhen Qian; Xiaohui Xie (CoRR, 2019)

Deep Learning for Automated Medical Image Analysis. - Wentao Zhu 001 (2019)

Cycle-Consistent Adversarial Autoencoders for Unsupervised Text Style Transfer. - Yufang Huang; Wentao Zhu 001; Deyi Xiong; Yiye Zhang; Changjian Hu; Feiyu Xu (COLING, 2020)

LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation. - Wentao Zhu 001; Can Zhao 001; Wenqi Li 001; Holger Roth; Ziyue Xu 001; Daguang Xu (MICCAI (4), 2020)

NeurReg: Neural Registration and Its Application to Image Segmentation. - Wentao Zhu 001; Andriy Myronenko; Ziyue Xu 001; Wenqi Li 001; Holger Roth; Yufang Huang; Fausto Milletari; Daguang Xu (WACV, 2020)

SpeechNAS: Towards Better Trade-Off Between Latency and Accuracy for Large-Scale Speaker Verification. - Wentao Zhu 001; Tianlong Kong; Shun Lu 001; Jixiang Li; Dawei Zhang; Feng Deng; Xiaorui Wang; Sen Yang 004; Ji Liu 002 (ASRU, 2021)

Test-Time Training for Deformable Multi-Scale Image Registration. - Wentao Zhu 001; Yufang Huang; Daguang Xu; Zhen Qian; Wei Fan 001; Xiaohui Xie (ICRA, 2021)

Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures. - Holger R. Roth; Dong Yang 005; Wenqi Li 001; Andriy Myronenko; Wentao Zhu 001; Ziyue Xu 001; Xiaosong Wang 001; Daguang Xu (MICCAI (3), 2021)

Shifted Chunk Transformer for Spatio-Temporal Representational Learning. - Xuefan Zha; Wentao Zhu 001; Xun Lv; Sen Yang 004; Ji Liu 002 (NeurIPS, 2021)

Deformable Gabor Feature Networks for Biomedical Image Classification. - Xuan Gong; Xin Xia 005; Wentao Zhu 001; Baochang Zhang 001; David S. Doermann; Li'an Zhuo (WACV, 2021)

Shifted Chunk Transformer for Spatio-Temporal Representational Learning. - Xuefan Zha; Wentao Zhu 001; Tingxun Lv; Sen Yang 004; Ji Liu 002 (CoRR, 2021)

NENet: Monocular Depth Estimation via Neural Ensembles. - Shuwei Shao; Ran Li; Zhongcai Pei; Zhong Liu 005; Weihai Chen; Wentao Zhu 001; Xingming Wu; Baochang Zhang 001 (CoRR, 2021)

Associative Adversarial Learning Based on Selective Attack. - Runqi Wang; Xiaoyue Duan; Baochang Zhang 001; Song Xue; Wentao Zhu 001; David S. Doermann; Guodong Guo (CoRR, 2021)

Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan. - Dong Yang 005; Ziyue Xu 001; Wenqi Li 001; Andriy Myronenko; Holger R. Roth; Stephanie A. Harmon; Sheng Xu 001; Baris Turkbey; Evrim Turkbey; Xiaosong Wang 001; Wentao Zhu 001; Gianpaolo Carrafiello; et al. (Medical Image Anal., 2021)

Multi-Domain Image Completion for Random Missing Input Data. - Liyue Shen; Wentao Zhu 001; Xiaosong Wang 001; Lei Xing 001; John M. Pauly; Baris Turkbey; Stephanie Anne Harmon; Thomas Hogue Sanford; Sherif Mehralivand; Peter L. Choyke; Bradford J. Wood; Daguang Xu (IEEE Trans. Medical Imaging, 2021)

Anti-retroactive Interference for Lifelong Learning. - Runqi Wang; Yuxiang Bao; Baochang Zhang 001; Jianzhuang Liu; Wentao Zhu 001; Guodong Guo (ECCV (24), 2022)

Bandwidth-Aware Adaptive Codec for DNN Inference Offloading in IoT. - Xiufeng Xie; Ning Zhou; Wentao Zhu 001; Ji Liu 002 (ECCV (38), 2022)

Uncertainty Learning towards Unsupervised Deformable Medical Image Registration. - Xuan Gong; Luckyson Khaidem; Wentao Zhu 001; Baochang Zhang 001; David S. Doermann (WACV, 2022)

A multi-scale unsupervised learning for deformable image registration. - Shuwei Shao; Zhongcai Pei; Weihai Chen; Wentao Zhu 001; Xingming Wu; Baochang Zhang 001 (Int. J. Comput. Assist. Radiol. Surg., 2022)

Adversarial Contrastive Self-Supervised Learning. - Wentao Zhu 001; Hang Shang; Tingxun Lv; Chao Liao; Sen Yang 004; Ji Liu 002 (CoRR, 2022)

Confidence Dimension for Deep Learning based on Hoeffding Inequality and Relative Evaluation. - Runqi Wang; Linlin Yang; Baochang Zhang 001; Wentao Zhu 001; David S. Doermann; Guodong Guo (CoRR, 2022)

MONAI: An open-source framework for deep learning in healthcare. - M. Jorge Cardoso; Wenqi Li 001; Richard Brown 004; Nic Ma; Eric Kerfoot; Yiheng Wang; Benjamin Murray; Andriy Myronenko; Can Zhao 001; Dong Yang 005; Vishwesh Nath; Yufan He; et al. (CoRR, 2022)

Self-Supervised monocular depth and ego-Motion estimation in endoscopy: Appearance flow to the rescue. - Shuwei Shao; Zhongcai Pei; Weihai Chen; Wentao Zhu 001; Xingming Wu; Dianmin Sun; Baochang Zhang 001 (Medical Image Anal., 2022)

Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. - Xiahai Zhuang; Jiahang Xu; Xinzhe Luo; Chen Chen 042; Cheng Ouyang; Daniel Rueckert; Víctor M. Campello; Karim Lekadir; Sulaiman Vesal; Nishant Ravikumar; Yashu Liu 003; Gongning Luo; et al. (Medical Image Anal., 2022)

AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection. - Wentao Zhu 001; Yufang Huang; Xiufeng Xie; Wenxian Liu; Jincan Deng; Debing Zhang; Zhangyang Wang; Ji Liu 002 (CVPR Workshops, 2023)

UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation. - Jianghao Wu 001; Guotai Wang; Ran Gu; Tao Lu; Yinan Chen; Wentao Zhu 001; Tom Vercauteren; Sébastien Ourselin; Shaoting Zhang 001 (CoRR, 2023)

Towards Comprehensive Monocular Depth Estimation: Multiple Heads are Better Than One. - Shuwei Shao; Ran Li; Zhongcai Pei; Zhong Liu 005; Weihai Chen; Wentao Zhu 001; Xingming Wu; Baochang Zhang 001 (IEEE Trans. Multim., 2023)

OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine. - Xiaosong Wang 001; Xiaofan Zhang 002; Guotai Wang; Junjun He; Zhongyu Li 002; Wentao Zhu 001; Yi Guo 002; Qi Dou 001; Xiaoxiao Li; Dequan Wang; Liang Hong; Qicheng Lao; et al. (CoRR, 2024)