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2020 – today
- 2022
[c13]Dazhou Guo, Jia Ge, Ke Yan, Puyang Wang, Zhuotun Zhu, Dandan Zheng, Xian-Sheng Hua, Le Lu, Tsung-Ying Ho, Xianghua Ye, Dakai Jin:
Thoracic Lymph Node Segmentation in CT Imaging via Lymph Node Station Stratification and Size Encoding. MICCAI (5) 2022: 55-65- 2021
- [c12]Zhuotun Zhu, Yongyi Lu, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors. ICCVW 2021: 3395-3401 - [i17]Dazhou Guo, Jia Ge, Xianghua Ye, Senxiang Yan, Yi Xin, Yuchen Song, Bing-shen Huang, Tsung-Min Hung, Zhuotun Zhu, Ling Peng, Yanping Ren, Rui Liu, Gong Zhang, Mengyuan Mao, Xiaohua Chen, Zhongjie Lu, Wenxiang Li, Yuzhen Chen, Lingyun Huang, Jing Xiao, Adam P. Harrison, Le Lu, Chien-Yu Lin, Dakai Jin, Tsung-Ying Ho:
Comprehensive and Clinically Accurate Head and Neck Organs at Risk Delineation via Stratified Deep Learning: A Large-scale Multi-Institutional Study. CoRR abs/2111.01544 (2021) - 2020
- [j3]Yingda Xia
, Dong Yang, Zhiding Yu, Fengze Liu, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth:
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation. Medical Image Anal. 65: 101766 (2020) - [c11]Dazhou Guo, Dakai Jin, Zhuotun Zhu, Tsung-Ying Ho, Adam P. Harrison, Chun-Hung Chao, Jing Xiao, Le Lu:
Organ at Risk Segmentation for Head and Neck Cancer Using Stratified Learning and Neural Architecture Search. CVPR 2020: 4222-4231 - [c10]Zhuotun Zhu, Dakai Jin, Ke Yan, Tsung-Ying Ho, Xianghua Ye, Dazhou Guo, Chun-Hung Chao, Jing Xiao, Alan L. Yuille, Le Lu:
Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-Based Gating Using 3D CT/PET Imaging in Radiotherapy. MICCAI (7) 2020: 753-762 - [c9]Chun-Hung Chao, Zhuotun Zhu, Dazhou Guo, Ke Yan, Tsung-Ying Ho, Jinzheng Cai, Adam P. Harrison, Xianghua Ye, Jing Xiao, Alan L. Yuille, Min Sun, Le Lu, Dakai Jin:
Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network. MICCAI (7) 2020: 772-782 - [c8]Yingda Xia, Fengze Liu, Dong Yang, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth:
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training. WACV 2020: 3635-3644 - [i16]Zhuotun Zhu, Yongyi Lu, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors. CoRR abs/2004.02021 (2020) - [i15]Dazhou Guo, Dakai Jin, Zhuotun Zhu, Tsung-Ying Ho, Adam P. Harrison, Chun-Hung Chao, Jing Xiao, Alan L. Yuille, Chien-Yu Lin, Le Lu:
Organ at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search. CoRR abs/2004.08426 (2020) - [i14]Zhuotun Zhu, Ke Yan, Dakai Jin, Jinzheng Cai, Tsung-Ying Ho, Adam P. Harrison, Dazhou Guo, Chun-Hung Chao, Xianghua Ye, Jing Xiao, Alan L. Yuille, Le Lu:
Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification. CoRR abs/2005.13705 (2020) - [i13]Yingda Xia, Dong Yang, Zhiding Yu, Fengze Liu, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth:
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation. CoRR abs/2006.16806 (2020) - [i12]Zhuotun Zhu, Dakai Jin, Ke Yan, Tsung-Ying Ho, Xianghua Ye, Dazhou Guo, Chun-Hung Chao, Jing Xiao, Alan L. Yuille, Le Lu:
Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-based Gating using 3D CT/PET Imaging in Radiotherapy. CoRR abs/2008.11870 (2020) - [i11]Chun-Hung Chao, Zhuotun Zhu, Dazhou Guo, Ke Yan, Tsung-Ying Ho, Jinzheng Cai, Adam P. Harrison, Xianghua Ye, Jing Xiao, Alan L. Yuille, Min Sun, Le Lu, Dakai Jin:
Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network. CoRR abs/2008.13013 (2020) - [i10]Yingwei Li, Zhuotun Zhu, Yuyin Zhou, Yingda Xia, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples. CoRR abs/2010.16074 (2020)
2010 – 2019
- 2019
- [c7]Zhuotun Zhu, Chenxi Liu, Dong Yang, Alan L. Yuille, Daguang Xu:
V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation. 3DV 2019: 240-248 - [c6]Zhuotun Zhu, Yingda Xia, Lingxi Xie, Elliot K. Fishman, Alan L. Yuille:
Multi-scale Coarse-to-Fine Segmentation for Screening Pancreatic Ductal Adenocarcinoma. MICCAI (6) 2019: 3-12 - [p1]Yingwei Li, Zhuotun Zhu, Yuyin Zhou, Yingda Xia, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-Fine Framework and Its Adversarial Examples. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 69-91 - [i9]Zhuotun Zhu, Chenxi Liu, Dong Yang, Alan L. Yuille, Daguang Xu:
V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation. CoRR abs/1906.02817 (2019) - 2018
- [c5]Zhuotun Zhu, Yingda Xia, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
A 3D Coarse-to-Fine Framework for Volumetric Medical Image Segmentation. 3DV 2018: 682-690 - [c4]Yingda Xia, Lingxi Xie, Fengze Liu, Zhuotun Zhu, Elliot K. Fishman, Alan L. Yuille:
Bridging the Gap Between 2D and 3D Organ Segmentation with Volumetric Fusion Net. MICCAI (4) 2018: 445-453 - [i8]Yingda Xia, Lingxi Xie, Fengze Liu, Zhuotun Zhu, Elliot K. Fishman, Alan L. Yuille:
Bridging the Gap Between 2D and 3D Organ Segmentation. CoRR abs/1804.00392 (2018) - [i7]Zhuotun Zhu, Yingda Xia, Lingxi Xie, Elliot K. Fishman, Alan L. Yuille:
Multi-Scale Coarse-to-Fine Segmentation for Screening Pancreatic Ductal Adenocarcinoma. CoRR abs/1807.02941 (2018) - [i6]Yingda Xia, Fengze Liu, Dong Yang, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth:
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training. CoRR abs/1811.12506 (2018) - 2017
- [c3]Zhuotun Zhu, Lingxi Xie, Alan L. Yuille:
Object Recognition with and without Objects. IJCAI 2017: 3609-3615 - [i5]Zhuotun Zhu, Yingda Xia, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
A 3D Coarse-to-Fine Framework for Automatic Pancreas Segmentation. CoRR abs/1712.00201 (2017) - 2016
- [j2]Zhuotun Zhu, Xinggang Wang, Song Bai, Cong Yao, Xiang Bai:
Deep Learning Representation using Autoencoder for 3D Shape Retrieval. Neurocomputing 204: 41-50 (2016) - [i4]Zhuotun Zhu, Lingxi Xie, Alan L. Yuille:
Object Recognition with and without Objects. CoRR abs/1611.06596 (2016) - 2015
- [j1]Xiang Bai, Song Bai, Zhuotun Zhu, Longin Jan Latecki:
3D Shape Matching via Two Layer Coding. IEEE Trans. Pattern Anal. Mach. Intell. 37(12): 2361-2373 (2015) - [c2]Xinggang Wang, Zhuotun Zhu, Cong Yao, Xiang Bai:
Relaxed Multiple-Instance SVM with Application to Object Discovery. ICCV 2015: 1224-1232 - [i3]Xinggang Wang, Zhuotun Zhu, Cong Yao, Xiang Bai:
Relaxed Multiple-Instance SVM with Application to Object Discovery. CoRR abs/1510.01027 (2015) - [i2]Hanqiang Song, Zhuotun Zhu, Xinggang Wang:
Bag Reference Vector for Multi-instance Learning. CoRR abs/1512.00994 (2015) - 2014
- [c1]Zhuotun Zhu, Xinggang Wang, Song Bai, Cong Yao, Xiang Bai:
Deep learning representation using autoencoder for 3D shape retrieval. SPAC 2014: 279-284 - [i1]Zhuotun Zhu, Xinggang Wang, Song Bai, Cong Yao, Xiang Bai:
Deep Learning Representation using Autoencoder for 3D Shape Retrieval. CoRR abs/1409.7164 (2014)
Coauthor Index
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