Wentao Zhu - RankMe

62 papers A* 3A 4B 1C 1Journal 42Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Restoration Adaptation for Semantic Segmentation on Low Quality Images. CoRR Kai Guan, Rongyuan Wu, Shuai Li, Wentao Zhu, Wenjun Zeng, Lei Zhang
2026	J	`jnl`	Restoration Adaptation for Semantic Segmentation on Low Quality Images. Int. J. Comput. Vis. Kai Guan, Rongyuan Wu, Shuai Li, Wentao Zhu, Wenjun Zeng, Lei Zhang
2024	J	`jnl`	OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine. CoRR Xiaosong Wang, Xiaofan Zhang, Guotai Wang, Junjun He, Zhongyu Li, Wentao Zhu, Yi Guo, Qi Dou, Xiaoxiao Li, Dequan Wang, Liang Hong, Qicheng Lao, Tong Ruan, Yukun Zhou, Yixue Li, Jie Zhao, Kang Li, Xin Sun, Lifeng Zhu, Shaoting Zhang
2023	—	`conf`	AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection. CVPR Workshops Wentao Zhu, Yufang Huang, Xiufeng Xie, Wenxian Liu, Jincan Deng, Debing Zhang, Zhangyang Wang, Ji Liu
2023	J	`jnl`	AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection. CoRR Wentao Zhu, Yufang Huang, Xiufeng Xie, Wenxian Liu, Jincan Deng, Debing Zhang, Zhangyang Wang, Ji Liu
2023	J	`jnl`	Towards Comprehensive Monocular Depth Estimation: Multiple Heads are Better Than One. IEEE Trans. Multim. Shuwei Shao, Ran Li, Zhongcai Pei, Zhong Liu, Weihai Chen, Wentao Zhu, Xingming Wu, Baochang Zhang
2023	J	`jnl`	UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation. CoRR Jianghao Wu, Guotai Wang, Ran Gu, Tao Lu, Yinan Chen, Wentao Zhu, Tom Vercauteren, Sébastien Ourselin, Shaoting Zhang
2022	J	`jnl`	A multi-scale unsupervised learning for deformable image registration. Int. J. Comput. Assist. Radiol. Surg. Shuwei Shao, Zhongcai Pei, Weihai Chen, Wentao Zhu, Xingming Wu, Baochang Zhang
2022	J	`jnl`	Adversarial Contrastive Self-Supervised Learning. CoRR Wentao Zhu, Hang Shang, Tingxun Lv, Chao Liao, Sen Yang, Ji Liu
2022	J	`jnl`	Anti-Retroactive Interference for Lifelong Learning. CoRR Runqi Wang, Yuxiang Bao, Baochang Zhang, Jianzhuang Liu, Wentao Zhu, Guodong Guo
2022	—	`conf`	Anti-retroactive Interference for Lifelong Learning. ECCV (24) Runqi Wang, Yuxiang Bao, Baochang Zhang, Jianzhuang Liu, Wentao Zhu, Guodong Guo
2022	—	`conf`	Bandwidth-Aware Adaptive Codec for DNN Inference Offloading in IoT. ECCV (38) Xiufeng Xie, Ning Zhou, Wentao Zhu, Ji Liu
2022	J	`jnl`	Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. Medical Image Anal. Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Víctor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li
2022	J	`jnl`	Confidence Dimension for Deep Learning based on Hoeffding Inequality and Relative Evaluation. CoRR Runqi Wang, Linlin Yang, Baochang Zhang, Wentao Zhu, David S. Doermann, Guodong Guo
2022	J	`jnl`	MONAI: An open-source framework for deep learning in healthcare. CoRR M. Jorge Cardoso, Wenqi Li, Richard Brown, Nic Ma, Eric Kerfoot, Yiheng Wang, Benjamin Murray, Andriy Myronenko, Can Zhao, Dong Yang, Vishwesh Nath, Yufan He, Ziyue Xu, Ali Hatamizadeh, Wentao Zhu, Yun Liu, Mingxin Zheng, Yucheng Tang, Isaac Yang, Michael Zephyr, Behrooz Hashemian, Sachidanand Alle, Mohammad Zalbagi Darestani, Charlie Budd, Marc Modat, Tom Vercauteren, Guotai Wang, Yiwen Li, Yipeng Hu, Yunguan Fu, Benjamin Gorman, Hans J. Johnson, Brad W. Genereaux, Barbaros S. Erdal, Vikash Gupta, Andres Diaz-Pinto, Andre Dourson, Lena Maier-Hein, Paul F. Jaeger, Michael Baumgartner, Jayashree Kalpathy-Cramer, Mona Flores, Justin S. Kirby, Lee A. D. Cooper, Holger R. Roth, Daguang Xu, David Bericat, Ralf Floca, S. Kevin Zhou, Haris Shuaib, Keyvan Farahani, Klaus H. Maier-Hein, Stephen R. Aylward, Prerna Dogra, Sébastien Ourselin, Andrew Feng
2022	J	`jnl`	Self-Supervised monocular depth and ego-Motion estimation in endoscopy: Appearance flow to the rescue. Medical Image Anal. Shuwei Shao, Zhongcai Pei, Weihai Chen, Wentao Zhu, Xingming Wu, Dianmin Sun, Baochang Zhang
2022	A	`conf`	Uncertainty Learning towards Unsupervised Deformable Medical Image Registration. WACV Xuan Gong, Luckyson Khaidem, Wentao Zhu, Baochang Zhang, David S. Doermann
2021	J	`jnl`	Associative Adversarial Learning Based on Selective Attack. CoRR Runqi Wang, Xiaoyue Duan, Baochang Zhang, Song Xue, Wentao Zhu, David S. Doermann, Guodong Guo
2021	A	`conf`	Deformable Gabor Feature Networks for Biomedical Image Classification. WACV Xuan Gong, Xin Xia, Wentao Zhu, Baochang Zhang, David S. Doermann, Li'an Zhuo
2021	—	`conf`	Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures. MICCAI (3) Holger R. Roth, Dong Yang, Wenqi Li, Andriy Myronenko, Wentao Zhu, Ziyue Xu, Xiaosong Wang, Daguang Xu
2021	J	`jnl`	Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures. CoRR Holger R. Roth, Dong Yang, Wenqi Li, Andriy Myronenko, Wentao Zhu, Ziyue Xu, Xiaosong Wang, Daguang Xu
2021	J	`jnl`	Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan. Medical Image Anal. Dong Yang, Ziyue Xu, Wenqi Li, Andriy Myronenko, Holger R. Roth, Stephanie A. Harmon, Sheng Xu, Baris Turkbey, Evrim Turkbey, Xiaosong Wang, Wentao Zhu, Gianpaolo Carrafiello, Francesca Patella, Maurizio Cariati, Hirofumi Obinata, Hitoshi Mori, Kaku Tamura, Peng An, Bradford J. Wood, Daguang Xu
2021	J	`jnl`	Multi-Domain Image Completion for Random Missing Input Data. IEEE Trans. Medical Imaging Liyue Shen, Wentao Zhu, Xiaosong Wang, Lei Xing, John M. Pauly, Baris Turkbey, Stephanie Anne Harmon, Thomas Hogue Sanford, Sherif Mehralivand, Peter L. Choyke, Bradford J. Wood, Daguang Xu
2021	J	`jnl`	NENet: Monocular Depth Estimation via Neural Ensembles. CoRR Shuwei Shao, Ran Li, Zhongcai Pei, Zhong Liu, Weihai Chen, Wentao Zhu, Xingming Wu, Baochang Zhang
2021	J	`jnl`	Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue. CoRR Shuwei Shao, Zhongcai Pei, Weihai Chen, Wentao Zhu, Xingming Wu, Dianmin Sun, Baochang Zhang
2021	A*	`conf`	Shifted Chunk Transformer for Spatio-Temporal Representational Learning. NeurIPS Xuefan Zha, Wentao Zhu, Xun Lv, Sen Yang, Ji Liu
2021	J	`jnl`	Shifted Chunk Transformer for Spatio-Temporal Representational Learning. CoRR Xuefan Zha, Wentao Zhu, Tingxun Lv, Sen Yang, Ji Liu
2021	C	`conf`	SpeechNAS: Towards Better Trade-Off Between Latency and Accuracy for Large-Scale Speaker Verification. ASRU Wentao Zhu, Tianlong Kong, Shun Lu, Jixiang Li, Dawei Zhang, Feng Deng, Xiaorui Wang, Sen Yang, Ji Liu
2021	J	`jnl`	SpeechNAS: Towards Better Trade-off between Latency and Accuracy for Large-Scale Speaker Verification. CoRR Wentao Zhu, Tianlong Kong, Shun Lu, Jixiang Li, Dawei Zhang, Feng Deng, Xiaorui Wang, Sen Yang, Ji Liu
2021	A*	`conf`	Test-Time Training for Deformable Multi-Scale Image Registration. ICRA Wentao Zhu, Yufang Huang, Daguang Xu, Zhen Qian, Wei Fan, Xiaohui Xie
2021	J	`jnl`	Test-Time Training for Deformable Multi-Scale Image Registration. CoRR Wentao Zhu, Yufang Huang, Daguang Xu, Zhen Qian, Wei Fan, Xiaohui Xie
2020	J	`jnl`	Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge. CoRR Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Víctor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li
2020	B	`conf`	Cycle-Consistent Adversarial Autoencoders for Unsupervised Text Style Transfer. COLING Yufang Huang, Wentao Zhu, Deyi Xiong, Yiye Zhang, Changjian Hu, Feiyu Xu
2020	J	`jnl`	Cycle-Consistent Adversarial Autoencoders for Unsupervised Text Style Transfer. CoRR Yufang Huang, Wentao Zhu, Deyi Xiong, Yiye Zhang, Changjian Hu, Feiyu Xu
2020	J	`jnl`	Deformable Gabor Feature Networks for Biomedical Image Classification. CoRR Xuan Gong, Xin Xia, Wentao Zhu, Baochang Zhang, David S. Doermann, Lian Zhuo
2020	J	`jnl`	Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan. CoRR Dong Yang, Ziyue Xu, Wenqi Li, Andriy Myronenko, Holger R. Roth, Stephanie A. Harmon, Sheng Xu, Baris Turkbey, Evrim Turkbey, Xiaosong Wang, Wentao Zhu, Gianpaolo Carrafiello, Francesca Patella, Maurizio Cariati, Hirofumi Obinata, Hitoshi Mori, Kaku Tamura, Peng An, Bradford J. Wood, Daguang Xu
2020	—	`conf`	LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation. MICCAI (4) Wentao Zhu, Can Zhao, Wenqi Li, Holger Roth, Ziyue Xu, Daguang Xu
2020	J	`jnl`	LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation. CoRR Wentao Zhu, Can Zhao, Wenqi Li, Holger Roth, Ziyue Xu, Daguang Xu
2020	J	`jnl`	Multi-Domain Image Completion for Random Missing Input Data. CoRR Liyue Shen, Wentao Zhu, Xiaosong Wang, Lei Xing, John M. Pauly, Baris Turkbey, Stephanie Anne Harmon, Thomas Hogue Sanford, Sherif Mehralivand, Peter L. Choyke, Bradford J. Wood, Daguang Xu
2020	A	`conf`	NeurReg: Neural Registration and Its Application to Image Segmentation. WACV Wentao Zhu, Andriy Myronenko, Ziyue Xu, Wenqi Li, Holger Roth, Yufang Huang, Fausto Milletari, Daguang Xu
2019	—	`conf`	Cardiac Segmentation of LGE MRI with Noisy Labels. STACOM@MICCAI Holger Roth, Wentao Zhu, Dong Yang, Ziyue Xu, Daguang Xu
2019	J	`jnl`	Cardiac Segmentation of LGE MRI with Noisy Labels. CoRR Holger Roth, Wentao Zhu, Dong Yang, Ziyue Xu, Daguang Xu
2019	J	`jnl`	Deep Learning for Automated Medical Image Analysis. CoRR Wentao Zhu
2019	—	`—`	Deep Learning for Automated Medical Image Analysis. Wentao Zhu
2019	J	`jnl`	NeurReg: Neural Registration and Its Application to Image Segmentation. CoRR Wentao Zhu, Andriy Myronenko, Ziyue Xu, Wenqi Li, Holger Roth, Yufang Huang, Fausto Milletari, Daguang Xu
2019	J	`jnl`	Neural Multi-Scale Self-Supervised Registration for Echocardiogram Dense Tracking. CoRR Wentao Zhu, Yufang Huang, Mani A. Vannan, Shizhen Liu, Daguang Xu, Wei Fan, Zhen Qian, Xiaohui Xie
2019	—	`conf`	Privacy-Preserving Federated Brain Tumour Segmentation. MLMI@MICCAI Wenqi Li, Fausto Milletarì, Daguang Xu, Nicola Rieke, Jonny Hancox, Wentao Zhu, Maximilian Baust, Yan Cheng, Sébastien Ourselin, M. Jorge Cardoso, Andrew Feng
2019	J	`jnl`	Privacy-preserving Federated Brain Tumour Segmentation. CoRR Wenqi Li, Fausto Milletari, Daguang Xu, Nicola Rieke, Jonny Hancox, Wentao Zhu, Maximilian Baust, Yan Cheng, Sébastien Ourselin, M. Jorge Cardoso, Andrew Feng
2018	—	`conf`	Adversarial deep structured nets for mass segmentation from mammograms. ISBI Wentao Zhu, Xiang Xiang, Trac D. Tran, Gregory D. Hager, Xiaohui Xie
2018	J	`jnl`	AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anatomical segmentation. CoRR Wentao Zhu, Yufang Huang, Hui Tang, Zhen Qian, Nan Du, Wei Fan, Xiaohui Xie
2018	J	`jnl`	DeepEM: Deep 3D ConvNets With EM For Weakly Supervised Pulmonary Nodule Detection. CoRR Wentao Zhu, Yeeleng Scott Vang, Yufang Huang, Xiaohui Xie
2018	—	`conf`	DeepEM: Deep 3D ConvNets with EM for Weakly Supervised Pulmonary Nodule Detection. MICCAI (2) Wentao Zhu, Yeeleng Scott Vang, Yufang Huang, Xiaohui Xie
2018	A	`conf`	DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification. WACV Wentao Zhu, Chaochun Liu, Wei Fan, Xiaohui Xie
2018	J	`jnl`	DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification. CoRR Wentao Zhu, Chaochun Liu, Wei Fan, Xiaohui Xie
2017	J	`jnl`	Adversarial Deep Structured Nets for Mass Segmentation from Mammograms. CoRR Wentao Zhu, Xiang Xiang, Trac D. Tran, Gregory D. Hager, Xiaohui Xie
2017	—	`conf`	Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification. MICCAI (3) Wentao Zhu, Qi Lou, Yeeleng Scott Vang, Xiaohui Xie
2017	J	`jnl`	Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification. CoRR Wentao Zhu, Qi Lou, Yeeleng Scott Vang, Xiaohui Xie
2017	J	`jnl`	DeepLung: 3D Deep Convolutional Nets for Automated Pulmonary Nodule Detection and Classification. CoRR Wentao Zhu, Chaochun Liu, Wei Fan, Xiaohui Xie
2016	J	`jnl`	Adversarial Deep Structural Networks for Mammographic Mass Segmentation. CoRR Wentao Zhu, Xiaohui Xie
2016	A*	`conf`	Co-Occurrence Feature Learning for Skeleton Based Action Recognition Using Regularized Deep LSTM Networks. AAAI Wentao Zhu, Cuiling Lan, Junliang Xing, Wenjun Zeng, Yanghao Li, Li Shen, Xiaohui Xie
2016	J	`jnl`	Co-occurrence Feature Learning for Skeleton based Action Recognition using Regularized Deep LSTM Networks. CoRR Wentao Zhu, Cuiling Lan, Junliang Xing, Wenjun Zeng, Yanghao Li, Li Shen, Xiaohui Xie
2016	J	`jnl`	Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification. CoRR Wentao Zhu, Qi Lou, Yeeleng Scott Vang, Xiaohui Xie