CalibDNN: Multimodal Sensor Calibration for Perception Using Deep Neural Networks. - Ganning Zhao; Jiesi Hu; Suya You; C.-C. Jay Kuo (CoRR, 2021)

Evaluation of Multimodal Semantic Segmentation using RGB-D Data. - Jiesi Hu; Ganning Zhao; Suya You; C.-C. Jay Kuo (CoRR, 2021)

DECOR-Net: A Covid-19 Lung Infection Segmentation Network Improved by Emphasizing Low-Level Features and Decorrelating Features. - Jiesi Hu; Yanwu Yang; Xutao Guo; Bo Peng; Hua Huang; Ting Ma 001 (ISBI, 2023)

DECOR-NET: A COVID-19 Lung Infection Segmentation Network Improved by Emphasizing Low-level Features and Decorrelating Features. - Jiesi Hu; Yanwu Yang; Xutao Guo; Ting Ma 001 (CoRR, 2023)

Centerline Boundary Dice Loss for Vascular Segmentation. - Pengcheng Shi; Jiesi Hu; Yanwu Yang; Zilve Gao; Wei Liu; Ting Ma 001 (MICCAI (8), 2024)

Advancing Brain Imaging Analysis Step-by-Step via Progressive Self-paced Learning. - Yanwu Yang; Hairui Chen; Jiesi Hu; Xutao Guo; Ting Ma 001 (MICCAI (11), 2024)

ICL-SAM: Synergizing In-context Learning Model and SAM in Medical Image Segmentation. - Jiesi Hu; Yang Shang; Yanwu Yang; Xutao Guo; Hanyang Peng; Ting Ma (MIDL, 2024)

A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation. - Jiesi Hu; Yanwu Yang; Xutao Guo; Ting Ma 001; Jinghua Wang (IEEE J. Biomed. Health Informatics, 2024)

Building 3D In-Context Learning Universal Model in Neuroimaging. - Jiesi Hu; Hanyang Peng; Yanwu Yang; Xutao Guo; Yang Shang; Pengcheng Shi; Chenfei Ye; Ting Ma 001 (CoRR, 2025)