Wentao Zhu

According to our database, Wentao Zhu authored at least 39 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine.

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

CoRR, 2024

2023

Towards Comprehensive Monocular Depth Estimation: Multiple Heads are Better Than One.

Shuwei Shao, Ran Li, Zhongcai Pei, Zhong Liu, Weihai Chen, Wentao Zhu, Xingming Wu, Baochang Zhang

IEEE Trans. Multim., 2023

UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation.

Jianghao Wu, Guotai Wang, Ran Gu, Tao Lu, Yinan Chen, Wentao Zhu, Tom Vercauteren, Sébastien Ourselin, Shaoting Zhang

CoRR, 2023

AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection.

Wentao Zhu, Yufang Huang, Xiufeng Xie, Wenxian Liu, Jincan Deng, Debing Zhang, Zhangyang Wang, Ji Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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, 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

Medical Image Anal., 2022

Self-Supervised monocular depth and ego-Motion estimation in endoscopy: Appearance flow to the rescue.

Shuwei Shao, Zhongcai Pei, Weihai Chen, Wentao Zhu, Xingming Wu, Dianmin Sun, Baochang Zhang

Medical Image Anal., 2022

MONAI: An open-source framework for deep learning in healthcare.

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

CoRR, 2022

Confidence Dimension for Deep Learning based on Hoeffding Inequality and Relative Evaluation.

Runqi Wang, Linlin Yang, Baochang Zhang, Wentao Zhu, David S. Doermann, Guodong Guo

CoRR, 2022

Adversarial Contrastive Self-Supervised Learning.

Wentao Zhu, Hang Shang, Tingxun Lv, Chao Liao, Sen Yang, Ji Liu

CoRR, 2022

A multi-scale unsupervised learning for deformable image registration.

Shuwei Shao, Zhongcai Pei, Weihai Chen, Wentao Zhu, Xingming Wu, Baochang Zhang

Int. J. Comput. Assist. Radiol. Surg., 2022

Uncertainty Learning towards Unsupervised Deformable Medical Image Registration.

Xuan Gong, Luckyson Khaidem, Wentao Zhu, Baochang Zhang, David S. Doermann

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Bandwidth-Aware Adaptive Codec for DNN Inference Offloading in IoT.

Xiufeng Xie, Ning Zhou, Wentao Zhu, Ji Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

Anti-retroactive Interference for Lifelong Learning.

Runqi Wang, Yuxiang Bao, Baochang Zhang, Jianzhuang Liu, Wentao Zhu, Guodong Guo

Proceedings of the Computer Vision, 2022

2021

Multi-Domain Image Completion for Random Missing Input Data.

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

IEEE Trans. Medical Imaging, 2021

Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan.

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

Medical Image Anal., 2021

Associative Adversarial Learning Based on Selective Attack.

Runqi Wang, Xiaoyue Duan, Baochang Zhang, Song Xue, Wentao Zhu, David S. Doermann, Guodong Guo

CoRR, 2021

NENet: Monocular Depth Estimation via Neural Ensembles.

Shuwei Shao, Ran Li, Zhongcai Pei, Zhong Liu, Weihai Chen, Wentao Zhu, Xingming Wu, Baochang Zhang

CoRR, 2021

Shifted Chunk Transformer for Spatio-Temporal Representational Learning.

Xuefan Zha, Wentao Zhu, Tingxun Lv, Sen Yang, Ji Liu

CoRR, 2021

Deformable Gabor Feature Networks for Biomedical Image Classification.

Xuan Gong, Xin Xia, Wentao Zhu, Baochang Zhang, David S. Doermann, Li'an Zhuo

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Shifted Chunk Transformer for Spatio-Temporal Representational Learning.

Xuefan Zha, Wentao Zhu, Xun Lv, Sen Yang, Ji Liu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures.

Holger R. Roth, Dong Yang, Wenqi Li, Andriy Myronenko, Wentao Zhu, Ziyue Xu, Xiaosong Wang, Daguang Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Test-Time Training for Deformable Multi-Scale Image Registration.

Wentao Zhu, Yufang Huang, Daguang Xu, Zhen Qian, Wei Fan, Xiaohui Xie

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

SpeechNAS: Towards Better Trade-Off Between Latency and Accuracy for Large-Scale Speaker Verification.

Wentao Zhu, Tianlong Kong, Shun Lu, Jixiang Li, Dawei Zhang, Feng Deng, Xiaorui Wang, Sen Yang, Ji Liu

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2020

NeurReg: Neural Registration and Its Application to Image Segmentation.

Wentao Zhu, Andriy Myronenko, Ziyue Xu, Wenqi Li, Holger Roth, Yufang Huang, Fausto Milletari, Daguang Xu

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation.

Wentao Zhu, Can Zhao, Wenqi Li, Holger Roth, Ziyue Xu, Daguang Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Cycle-Consistent Adversarial Autoencoders for Unsupervised Text Style Transfer.

Yufang Huang, Wentao Zhu, Deyi Xiong, Yiye Zhang, Changjian Hu, Feiyu Xu

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Deep Learning for Automated Medical Image Analysis.

Wentao Zhu

PhD thesis, 2019

Neural Multi-Scale Self-Supervised Registration for Echocardiogram Dense Tracking.

Wentao Zhu, Yufang Huang, Mani A. Vannan, Shizhen Liu, Daguang Xu, Wei Fan, Zhen Qian, Xiaohui Xie

CoRR, 2019

Deep Learning for Automated Medical Image Analysis.

Wentao Zhu

CoRR, 2019

Cardiac Segmentation of LGE MRI with Noisy Labels.

Holger Roth, Wentao Zhu, Dong Yang, Ziyue Xu, Daguang Xu

Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019

Privacy-Preserving Federated Brain Tumour Segmentation.

Wenqi Li, Fausto Milletarì, Daguang Xu, Nicola Rieke, Jonny Hancox, Wentao Zhu, Maximilian Baust, Yan Cheng, Sébastien Ourselin, M. Jorge Cardoso, Andrew Feng

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

2018

AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anatomical segmentation.

Wentao Zhu, Yufang Huang, Hui Tang, Zhen Qian, Nan Du, Wei Fan, Xiaohui Xie

CoRR, 2018

DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification.

Wentao Zhu, Chaochun Liu, Wei Fan, Xiaohui Xie

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

DeepEM: Deep 3D ConvNets with EM for Weakly Supervised Pulmonary Nodule Detection.

Wentao Zhu, Yeeleng Scott Vang, Yufang Huang, Xiaohui Xie

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Adversarial deep structured nets for mass segmentation from mammograms.

Wentao Zhu, Xiang Xiang, Trac D. Tran, Gregory D. Hager, Xiaohui Xie

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

DeepLung: 3D Deep Convolutional Nets for Automated Pulmonary Nodule Detection and Classification.

Wentao Zhu, Chaochun Liu, Wei Fan, Xiaohui Xie

CoRR, 2017

Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification.

Wentao Zhu, Qi Lou, Yeeleng Scott Vang, Xiaohui Xie

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016

Adversarial Deep Structural Networks for Mammographic Mass Segmentation.

Wentao Zhu, Xiaohui Xie

CoRR, 2016

Co-Occurrence Feature Learning for Skeleton Based Action Recognition Using Regularized Deep LSTM Networks.

Wentao Zhu, Cuiling Lan, Junliang Xing, Wenjun Zeng, Yanghao Li, Li Shen, Xiaohui Xie

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016