Chun-Hung Chao
Chun-Hung Chao
Adresse e-mail validée de m106.nthu.edu.tw - Page d'accueil
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Cube padding for weakly-supervised saliency prediction in 360 videos
HT Cheng, CH Chao, JD Dong, HK Wen, TL Liu, M Sun
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
762018
Classifying neck lymph nodes of head and neck squamous cell carcinoma in MRI images with radiomic features
TY Ho, CH Chao, SC Chin, SH Ng, CJ Kang, NM Tsang
Journal of digital imaging, 1-6, 2020
72020
Organ at risk segmentation for head and neck cancer using stratified learning and neural architecture search
D Guo, D Jin, Z Zhu, TY Ho, AP Harrison, CH Chao, J Xiao, L Lu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
72020
Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network
CH Chao, Z Zhu, D Guo, K Yan, TY Ho, J Cai, AP Harrison, X Ye, J Xiao, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2020
62020
Detecting scatteredly-distributed, small, andcritically important objects in 3d oncologyimaging via decision stratification
Z Zhu, K Yan, D Jin, J Cai, TY Ho, AP Harrison, D Guo, CH Chao, X Ye, ...
arXiv preprint arXiv:2005.13705, 2020
42020
Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-Based Gating Using 3D CT/PET Imaging in Radiotherapy
Z Zhu, D Jin, K Yan, TY Ho, X Ye, D Guo, CH Chao, J Xiao, A Yuille, L Lu
International Conference on Medical Image Computing and Computer-Assisted …, 2020
32020
Radiotherapy Target Contouring with Convolutional Gated Graph Neural Network
CH Chao, YC Cheng, HT Cheng, CW Huang, TY Ho, CK Tseng, L Lu, ...
arXiv preprint arXiv:1904.03086, 2019
12019
Interactive Radiotherapy Target Delineation with 3D-Fused Context Propagation
CH Chao, HT Cheng, TY Ho, L Lu, M Sun
arXiv preprint arXiv:2012.06873, 2020
2020
Image feature extraction method and saliency prediction method using the same
M Sun, H Cheng, CH Chao, T Liu
US Patent App. 16/059,561, 2019
2019
Cube Padding for Weakly-Supervised Saliency Prediction in 360 {\deg} Videos
HT Cheng, CH Chao, JD Dong, HK Wen, TL Liu, M Sun
arXiv preprint arXiv:1806.01320, 2018
2018
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