Zhuotun Zhu

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 27

Top Topics

Supervised Learning

Labeled Instances

Top Venues

Publications

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)
Zhuotun Zhu, Yongyi Lu, Wei Shen, Elliot K. Fishman, Alan L. Yuille
Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors. ICCVW (2021)
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 (2021)
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)
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 (2020)
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)
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)
Zhuotun Zhu, Yongyi Lu, Wei Shen, Elliot K. Fishman, Alan L. Yuille
Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors. CoRR (2020)
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 (2020)
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 (2020)
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 (2020)
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 (2020)
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 (2020)
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)
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 (2020)
Zhuotun Zhu, Chenxi Liu, Dong Yang, Alan L. Yuille, Daguang Xu
V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation. 3DV (2019)
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)
Zhuotun Zhu, Chenxi Liu, Dong Yang, Alan L. Yuille, Daguang Xu
V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation. CoRR (2019)
Zhuotun Zhu, Yingda Xia, Lingxi Xie, Elliot K. Fishman, Alan L. Yuille
Multi-Scale Coarse-to-Fine Segmentation for Screening Pancreatic Ductal Adenocarcinoma. CoRR (2018)
Yingda Xia, Lingxi Xie, Fengze Liu, Zhuotun Zhu, Elliot K. Fishman, Alan L. Yuille
Bridging the Gap Between 2D and 3D Organ Segmentation. CoRR (2018)
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)
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)
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 (2018)
Zhuotun Zhu, Yingda Xia, Wei Shen, Elliot K. Fishman, Alan L. Yuille
A 3D Coarse-to-Fine Framework for Automatic Pancreas Segmentation. CoRR (2017)
Zhuotun Zhu, Lingxi Xie, Alan L. Yuille
Object Recognition with and without Objects. IJCAI (2017)
Zhuotun Zhu, Lingxi Xie, Alan L. Yuille
Object Recognition with and without Objects. CoRR (2016)
Zhuotun Zhu, Xinggang Wang, Song Bai, Cong Yao, Xiang Bai
Deep Learning Representation using Autoencoder for 3D Shape Retrieval. Neurocomputing 204 (2016)
Xiang Bai, Song Bai, Zhuotun Zhu, Longin Jan Latecki
3D Shape Matching via Two Layer Coding. IEEE Trans. Pattern Anal. Mach. Intell. 37 (12) (2015)
Xinggang Wang, Zhuotun Zhu, Cong Yao, Xiang Bai
Relaxed Multiple-Instance SVM with Application to Object Discovery. CoRR (2015)
Hanqiang Song, Zhuotun Zhu, Xinggang Wang
Bag Reference Vector for Multi-instance Learning. CoRR (2015)
Xinggang Wang, Zhuotun Zhu, Cong Yao, Xiang Bai
Relaxed Multiple-Instance SVM with Application to Object Discovery. ICCV (2015)
Zhuotun Zhu, Xinggang Wang, Song Bai, Cong Yao, Xiang Bai
Deep Learning Representation using Autoencoder for 3D Shape Retrieval. CoRR (2014)
Zhuotun Zhu, Xinggang Wang, Song Bai, Cong Yao, Xiang Bai
Deep learning representation using autoencoder for 3D shape retrieval. SPAC (2014)