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Chun-Hung Chao
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2020 – today
- 2023
- [c5]Chun-Hung Chao, Marc Niethammer:
Self-supervised Landmark Learning with Deformation Reconstruction and Cross-Subject Consistency Objectives. PRIME@MICCAI 2023: 70-82 - [i8]Chun-Hung Chao, Marc Niethammer:
Self-supervised Landmark Learning with Deformation Reconstruction and Cross-subject Consistency Objectives. CoRR abs/2308.04987 (2023) - 2020
- [j1]Tsung-Ying Ho
, Chun-Hung Chao, Shy Chyi Chin, Shu-Hang Ng, Chung-Jan Kang, Ngan-Ming Tsang:
Classifying Neck Lymph Nodes of Head and Neck Squamous Cell Carcinoma in MRI Images with Radiomic Features. J. Digit. Imaging 33(3): 613-618 (2020) - [c4]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 - [c3]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 - [c2]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 - [i7]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) - [i6]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) - [i5]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) - [i4]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) - [i3]Chun-Hung Chao, Hsien-Tzu Cheng, Tsung-Ying Ho, Le Lu, Min Sun:
Interactive Radiotherapy Target Delineation with 3D-Fused Context Propagation. CoRR abs/2012.06873 (2020)
2010 – 2019
- 2019
- [i2]Chun-Hung Chao, Yen-Chi Cheng, Hsien-Tzu Cheng, Chi-Wen Huang, Tsung-Ying Ho, Chen-Kan Tseng, Le Lu, Min Sun:
Radiotherapy Target Contouring with Convolutional Gated Graph Neural Network. CoRR abs/1904.03086 (2019) - 2018
- [c1]Hsien-Tzu Cheng, Chun-Hung Chao, Jin-Dong Dong, Hao-Kai Wen, Tyng-Luh Liu, Min Sun:
Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos. CVPR 2018: 1420-1429 - [i1]Hsien-Tzu Cheng, Chun-Hung Chao, Jin-Dong Dong, Hao-Kai Wen, Tyng-Luh Liu, Min Sun:
Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos. CoRR abs/1806.01320 (2018)
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