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Wentao Zhu 0001
Person information
- affiliation: NVIDIA, Bethesda, USA
- affiliation: University of California, Department of Computer Science, Irvine, USA
Other persons with the same name
- Wentao Zhu — disambiguation page
- Wentao Zhu 0002
— Research Center for Frontier Fundamental Studies, Zhejiang Lab, Hangzhou, China
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2020 – today
- 2024
- [i34]Xiaosong Wang
OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine. CoRR abs/2402.18028 (2024) - 2023
- [j6]Shuwei Shao
Towards Comprehensive Monocular Depth Estimation: Multiple Heads are Better Than One. IEEE Trans. Multim. 25: 7660-7671 (2023) - [c19]Wentao Zhu, Yufang Huang, Xiufeng Xie, Wenxian Liu, Jincan Deng, Debing Zhang, Zhangyang Wang, Ji Liu:
AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection. CVPR Workshops 2023: 2238-2247 - [i33]Wentao Zhu, Yufang Huang, Xiufeng Xie, Wenxian Liu, Jincan Deng, Debing Zhang, Zhangyang Wang, Ji Liu:
AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection. CoRR abs/2304.06116 (2023) - [i32]Jianghao Wu, Guotai Wang, Ran Gu, Tao Lu, Yinan Chen, Wentao Zhu, Tom Vercauteren, Sébastien Ourselin, Shaoting Zhang:
UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation. CoRR abs/2309.10244 (2023) - 2022
- [j5]Shuwei Shao, Zhongcai Pei, Weihai Chen, Wentao Zhu, Xingming Wu, Baochang Zhang:
A multi-scale unsupervised learning for deformable image registration. Int. J. Comput. Assist. Radiol. Surg. 17(1): 157-166 (2022) - [j4]Shuwei Shao, Zhongcai Pei, Weihai Chen, Wentao Zhu, Xingming Wu, Dianmin Sun, Baochang Zhang:
Self-Supervised monocular depth and ego-Motion estimation in endoscopy: Appearance flow to the rescue. Medical Image Anal. 77: 102338 (2022) - [j3]Xiahai Zhuang
Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. Medical Image Anal. 81: 102528 (2022) - [c18]Xiufeng Xie
Bandwidth-Aware Adaptive Codec for DNN Inference Offloading in IoT. ECCV (38) 2022: 88-104 - [c17]Runqi Wang, Yuxiang Bao, Baochang Zhang, Jianzhuang Liu, Wentao Zhu, Guodong Guo:
Anti-retroactive Interference for Lifelong Learning. ECCV (24) 2022: 163-178 - [c16]Xuan Gong, Luckyson Khaidem, Wentao Zhu, Baochang Zhang, David S. Doermann:
Uncertainty Learning towards Unsupervised Deformable Medical Image Registration. WACV 2022: 1555-1564 - [i31]Wentao Zhu, Hang Shang, Tingxun Lv, Chao Liao, Sen Yang, Ji Liu:
Adversarial Contrastive Self-Supervised Learning. CoRR abs/2202.13072 (2022) - [i30]Runqi Wang, Linlin Yang, Baochang Zhang, Wentao Zhu, David S. Doermann, Guodong Guo:
Confidence Dimension for Deep Learning based on Hoeffding Inequality and Relative Evaluation. CoRR abs/2203.09082 (2022) - [i29]Runqi Wang, Yuxiang Bao, Baochang Zhang, Jianzhuang Liu, Wentao Zhu, Guodong Guo:
Anti-Retroactive Interference for Lifelong Learning. CoRR abs/2208.12967 (2022) - [i28]M. Jorge Cardoso, Wenqi Li, Richard Brown, Nic Ma, Eric Kerfoot, Yiheng Wang, Benjamin Murray, Andriy Myronenko
MONAI: An open-source framework for deep learning in healthcare. CoRR abs/2211.02701 (2022) - 2021
- [j2]Dong Yang
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan. Medical Image Anal. 70: 101992 (2021) - [j1]Liyue Shen
Multi-Domain Image Completion for Random Missing Input Data. IEEE Trans. Medical Imaging 40(4): 1113-1122 (2021) - [c15]Wentao Zhu, Tianlong Kong, Shun Lu, Jixiang Li, Dawei Zhang, Feng Deng, Xiaorui Wang, Sen Yang, Ji Liu:
SpeechNAS: Towards Better Trade-Off Between Latency and Accuracy for Large-Scale Speaker Verification. ASRU 2021: 1102-1109 - [c14]Wentao Zhu, Yufang Huang, Daguang Xu, Zhen Qian, Wei Fan, Xiaohui Xie:
Test-Time Training for Deformable Multi-Scale Image Registration. ICRA 2021: 13618-13625 - [c13]Holger R. Roth
Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures. MICCAI (3) 2021: 357-366 - [c12]Xuefan Zha, Wentao Zhu, Xun Lv, Sen Yang, Ji Liu:
Shifted Chunk Transformer for Spatio-Temporal Representational Learning. NeurIPS 2021: 11384-11396 - [c11]Xuan Gong, Xin Xia, Wentao Zhu, Baochang Zhang, David S. Doermann, Li'an Zhuo:
Deformable Gabor Feature Networks for Biomedical Image Classification. WACV 2021: 4003-4011 - [i27]Wentao Zhu, Yufang Huang, Daguang Xu, Zhen Qian, Wei Fan, Xiaohui Xie:
Test-Time Training for Deformable Multi-Scale Image Registration. CoRR abs/2103.13578 (2021) - [i26]Holger R. Roth, Dong Yang, Wenqi Li, Andriy Myronenko, Wentao Zhu, Ziyue Xu, Xiaosong Wang, Daguang Xu:
Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures. CoRR abs/2107.08111 (2021) - [i25]Xuefan Zha, Wentao Zhu, Tingxun Lv, Sen Yang, Ji Liu:
Shifted Chunk Transformer for Spatio-Temporal Representational Learning. CoRR abs/2108.11575 (2021) - [i24]Wentao Zhu, Tianlong Kong, Shun Lu, Jixiang Li, Dawei Zhang, Feng Deng, Xiaorui Wang, Sen Yang, Ji Liu:
SpeechNAS: Towards Better Trade-off between Latency and Accuracy for Large-Scale Speaker Verification. CoRR abs/2109.08839 (2021) - [i23]Shuwei Shao, Ran Li, Zhongcai Pei, Zhong Liu, Weihai Chen, Wentao Zhu, Xingming Wu, Baochang Zhang:
NENet: Monocular Depth Estimation via Neural Ensembles. CoRR abs/2111.08313 (2021) - [i22]Shuwei Shao, Zhongcai Pei, Weihai Chen, Wentao Zhu, Xingming Wu, Dianmin Sun, Baochang Zhang:
Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue. CoRR abs/2112.08122 (2021) - [i21]Runqi Wang, Xiaoyue Duan, Baochang Zhang, Song Xue, Wentao Zhu, David S. Doermann, Guodong Guo:
Associative Adversarial Learning Based on Selective Attack. CoRR abs/2112.13989 (2021) - 2020
- [c10]Yufang Huang, Wentao Zhu, Deyi Xiong, Yiye Zhang, Changjian Hu, Feiyu Xu:
Cycle-Consistent Adversarial Autoencoders for Unsupervised Text Style Transfer. COLING 2020: 2213-2223 - [c9]Wentao Zhu, Can Zhao, Wenqi Li, Holger Roth, Ziyue Xu, Daguang Xu:
LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation. MICCAI (4) 2020: 374-384 - [c8]Wentao Zhu, Andriy Myronenko
NeurReg: Neural Registration and Its Application to Image Segmentation. WACV 2020: 3606-3615 - [i20]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
Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge. CoRR abs/2006.12434 (2020) - [i19]Wentao Zhu, Can Zhao, Wenqi Li, Holger Roth, Ziyue Xu, Daguang Xu:
LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation. CoRR abs/2006.12575 (2020) - [i18]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:
Multi-Domain Image Completion for Random Missing Input Data. CoRR abs/2007.05534 (2020) - [i17]Yufang Huang, Wentao Zhu, Deyi Xiong, Yiye Zhang, Changjian Hu, Feiyu Xu:
Cycle-Consistent Adversarial Autoencoders for Unsupervised Text Style Transfer. CoRR abs/2010.00735 (2020) - [i16]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:
Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan. CoRR abs/2011.11750 (2020) - [i15]Xuan Gong, Xin Xia, Wentao Zhu, Baochang Zhang, David S. Doermann, Lian Zhuo:
Deformable Gabor Feature Networks for Biomedical Image Classification. CoRR abs/2012.04109 (2020)
2010 – 2019
- 2019
- [b1]Wentao Zhu:
Deep Learning for Automated Medical Image Analysis. University of California, Irvine, USA, 2019 - [c7]Wenqi Li, Fausto Milletarì, Daguang Xu, Nicola Rieke
Privacy-Preserving Federated Brain Tumour Segmentation. MLMI@MICCAI 2019: 133-141 - [c6]Holger Roth, Wentao Zhu, Dong Yang, Ziyue Xu, Daguang Xu:
Cardiac Segmentation of LGE MRI with Noisy Labels. STACOM@MICCAI 2019: 228-236 - [i14]Wentao Zhu:
Deep Learning for Automated Medical Image Analysis. CoRR abs/1903.04711 (2019) - [i13]Wentao Zhu, Yufang Huang, Mani A. Vannan, Shizhen Liu, Daguang Xu, Wei Fan, Zhen Qian, Xiaohui Xie:
Neural Multi-Scale Self-Supervised Registration for Echocardiogram Dense Tracking. CoRR abs/1906.07357 (2019) - [i12]Wenqi Li, Fausto Milletari, Daguang Xu, Nicola Rieke, Jonny Hancox, Wentao Zhu, Maximilian Baust, Yan Cheng, Sébastien Ourselin, M. Jorge Cardoso, Andrew Feng:
Privacy-preserving Federated Brain Tumour Segmentation. CoRR abs/1910.00962 (2019) - [i11]Holger Roth, Wentao Zhu, Dong Yang, Ziyue Xu, Daguang Xu:
Cardiac Segmentation of LGE MRI with Noisy Labels. CoRR abs/1910.01242 (2019) - [i10]Wentao Zhu, Andriy Myronenko, Ziyue Xu, Wenqi Li, Holger Roth, Yufang Huang, Fausto Milletari, Daguang Xu:
NeurReg: Neural Registration and Its Application to Image Segmentation. CoRR abs/1910.01763 (2019) - 2018
- [c5]Wentao Zhu, Xiang Xiang, Trac D. Tran, Gregory D. Hager, Xiaohui Xie:
Adversarial deep structured nets for mass segmentation from mammograms. ISBI 2018: 847-850 - [c4]Wentao Zhu, Yeeleng Scott Vang, Yufang Huang, Xiaohui Xie:
DeepEM: Deep 3D ConvNets with EM for Weakly Supervised Pulmonary Nodule Detection. MICCAI (2) 2018: 812-820 - [c3]Wentao Zhu, Chaochun Liu, Wei Fan, Xiaohui Xie:
DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification. WACV 2018: 673-681 - [i9]Wentao Zhu, Chaochun Liu, Wei Fan, Xiaohui Xie:
DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification. CoRR abs/1801.09555 (2018) - [i8]Wentao Zhu, Yeeleng Scott Vang, Yufang Huang, Xiaohui Xie:
DeepEM: Deep 3D ConvNets With EM For Weakly Supervised Pulmonary Nodule Detection. CoRR abs/1805.05373 (2018) - [i7]Wentao Zhu, Yufang Huang, Hui Tang, Zhen Qian, Nan Du, Wei Fan, Xiaohui Xie:
AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anatomical segmentation. CoRR abs/1808.05238 (2018) - 2017
- [c2]Wentao Zhu, Qi Lou, Yeeleng Scott Vang, Xiaohui Xie:
Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification. MICCAI (3) 2017: 603-611 - [i6]Wentao Zhu, Qi Lou, Yeeleng Scott Vang, Xiaohui Xie:
Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification. CoRR abs/1705.08550 (2017) - [i5]Wentao Zhu, Chaochun Liu, Wei Fan, Xiaohui Xie:
DeepLung: 3D Deep Convolutional Nets for Automated Pulmonary Nodule Detection and Classification. CoRR abs/1709.05538 (2017) - [i4]Wentao Zhu, Xiang Xiang, Trac D. Tran, Gregory D. Hager, Xiaohui Xie:
Adversarial Deep Structured Nets for Mass Segmentation from Mammograms. CoRR abs/1710.09288 (2017) - 2016
- [c1]Wentao Zhu, Cuiling Lan, Junliang Xing, Wenjun Zeng, Yanghao Li, Li Shen, Xiaohui Xie:
Co-Occurrence Feature Learning for Skeleton Based Action Recognition Using Regularized Deep LSTM Networks. AAAI 2016: 3697-3704 - [i3]Wentao Zhu, Cuiling Lan, Junliang Xing, Wenjun Zeng, Yanghao Li, Li Shen, Xiaohui Xie:
Co-occurrence Feature Learning for Skeleton based Action Recognition using Regularized Deep LSTM Networks. CoRR abs/1603.07772 (2016) - [i2]Wentao Zhu, Qi Lou, Yeeleng Scott Vang, Xiaohui Xie:
Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification. CoRR abs/1612.05968 (2016) - [i1]Wentao Zhu, Xiaohui Xie:
Adversarial Deep Structural Networks for Mammographic Mass Segmentation. CoRR abs/1612.05970 (2016)
Coauthor Index
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