Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT Using Two-Stream Chained 3D Deep Network Fusion. - Dakai Jin; Dazhou Guo; Tsung-Ying Ho; Adam P. Harrison; Jing Xiao 006; Chen-Kan Tseng; Le Lu 001 (MICCAI (2), 2019)

Deep Esophageal Clinical Target Volume Delineation Using Encoded 3D Spatial Context of Tumors, Lymph Nodes, and Organs At Risk. - Dakai Jin; Dazhou Guo; Tsung-Ying Ho; Adam P. Harrison; Jing Xiao 006; Chen-Kan Tseng; Le Lu 001 (MICCAI (6), 2019)

Radiotherapy Target Contouring with Convolutional Gated Graph Neural Network. - Chun-Hung Chao; Yen-Chi Cheng; Hsien-Tzu Cheng; Chi-Wen Huang; Tsung-Ying Ho; Chen-Kan Tseng; Le Lu 001; Min Sun 001 (CoRR, 2019)

Multi-institutional Validation of Two-Streamed Deep Learning Method for Automated Delineation of Esophageal Gross Tumor Volume using planning-CT and FDG-PETCT. - Xianghua Ye; Dazhou Guo; Chen-Kan Tseng; Jia Ge; Tsung-Min Hung; Ping-Ching Pai; Yanping Ren; Lu Zheng; Xinli Zhu; Ling Peng; Ying Chen; Xiaohua Chen; et al. (CoRR, 2021)

DeepTarget: Gross tumor and clinical target volume segmentation in esophageal cancer radiotherapy. - Dakai Jin; Dazhou Guo; Tsung-Ying Ho; Adam P. Harrison; Jing Xiao 006; Chen-Kan Tseng; Le Lu 001 (Medical Image Anal., 2021)