Zhuotun Zhu

According to our database, Zhuotun Zhu authored at least 23 papers between 2015 and 2022.

Collaborative distances:

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

2022

Thoracic Lymph Node Segmentation in CT Imaging via Lymph Node Station Stratification and Size Encoding.

Dazhou Guo, Jia Ge, Ke Yan, Puyang Wang, Zhuotun Zhu, Dandan Zheng, Xian-Sheng Hua, Le Lu, Tsung-Ying Ho, Xianghua Ye, Dakai Jin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Comprehensive and Clinically Accurate Head and Neck Organs at Risk Delineation via Stratified Deep Learning: A Large-scale Multi-Institutional Study.

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

CoRR, 2021

Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors.

Zhuotun Zhu, Yongyi Lu, Wei Shen, Elliot K. Fishman, Alan L. Yuille

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation.

Yingda Xia, Dong Yang, Zhiding Yu, Fengze Liu, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth

Medical Image Anal., 2020

Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples.

Yingwei Li, Zhuotun Zhu, Yuyin Zhou, Yingda Xia, Wei Shen, Elliot K. Fishman, Alan L. Yuille

CoRR, 2020

Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification.

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

CoRR, 2020

Organ at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search.

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

CoRR, 2020

3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training.

Yingda Xia, Fengze Liu, Dong Yang, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth

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

Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-Based Gating Using 3D CT/PET Imaging in Radiotherapy.

Zhuotun Zhu, Dakai Jin, Ke Yan, Tsung-Ying Ho, Xianghua Ye, Dazhou Guo, Chun-Hung Chao, Jing Xiao, Alan L. Yuille, Le Lu

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

Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network.

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

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

Organ at Risk Segmentation for Head and Neck Cancer Using Stratified Learning and Neural Architecture Search.

Dazhou Guo, Dakai Jin, Zhuotun Zhu, Tsung-Ying Ho, Adam P. Harrison, Chun-Hung Chao, Jing Xiao, Le Lu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Multi-scale Coarse-to-Fine Segmentation for Screening Pancreatic Ductal Adenocarcinoma.

Zhuotun Zhu, Yingda Xia, Lingxi Xie, Elliot K. Fishman, Alan L. Yuille

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation.

Zhuotun Zhu, Chenxi Liu, Dong Yang, Alan L. Yuille, Daguang Xu

Proceedings of the 2019 International Conference on 3D Vision, 2019

Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-Fine Framework and Its Adversarial Examples.

Yingwei Li, Zhuotun Zhu, Yuyin Zhou, Yingda Xia, Wei Shen, Elliot K. Fishman, Alan L. Yuille

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

2018

Bridging the Gap Between 2D and 3D Organ Segmentation.

Yingda Xia, Lingxi Xie, Fengze Liu, Zhuotun Zhu, Elliot K. Fishman, Alan L. Yuille

CoRR, 2018

Bridging the Gap Between 2D and 3D Organ Segmentation with Volumetric Fusion Net.

Yingda Xia, Lingxi Xie, Fengze Liu, Zhuotun Zhu, Elliot K. Fishman, Alan L. Yuille

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

A 3D Coarse-to-Fine Framework for Volumetric Medical Image Segmentation.

Zhuotun Zhu, Yingda Xia, Wei Shen, Elliot K. Fishman, Alan L. Yuille

Proceedings of the 2018 International Conference on 3D Vision, 2018

2017

A 3D Coarse-to-Fine Framework for Automatic Pancreas Segmentation.

Zhuotun Zhu, Yingda Xia, Wei Shen, Elliot K. Fishman, Alan L. Yuille

CoRR, 2017

Object Recognition with and without Objects.

Zhuotun Zhu, Lingxi Xie, Alan L. Yuille

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Deep Learning Representation using Autoencoder for 3D Shape Retrieval.

Zhuotun Zhu, Xinggang Wang, Song Bai, Cong Yao, Xiang Bai

Neurocomputing, 2016

2015

3D Shape Matching via Two Layer Coding.

Xiang Bai, Song Bai, Zhuotun Zhu, Longin Jan Latecki

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Bag Reference Vector for Multi-instance Learning.

Hanqiang Song, Zhuotun Zhu, Xinggang Wang

CoRR, 2015

Relaxed Multiple-Instance SVM with Application to Object Discovery.

Xinggang Wang, Zhuotun Zhu, Cong Yao, Xiang Bai

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015