LogoNet: Layer-Aggregated Attention CenterNet for Logo Detection. - Rahul Kumar Jain 001; Taro Watasue; Tomohiro Nakagawa; Takahiro Sato; Yutaro Iwamoto; Xiang Ruan; Yen-Wei Chen 001 (ICCE, 2021)

Unsupervised Domain Adaptation Using Adversarial Learning and Maximum Square Loss for Liver Tumors Detection in Multi-phase CT Images. - Rahul Kumar Jain 001; Takahiro Sato; Taro Watasue; Tomohiro Nakagawa; Yutaro Iwamoto; Xianhua Han; Lanfen Lin; Hongjie Hu; Xiang Ruan; Yen-Wei Chen 001 (EMBC, 2022)

A multi-head pseudo nodes based spatial-temporal graph convolutional network for emotion perception from GAIT. - Shurong Chai; Jiaqing Liu; Rahul Kumar Jain 001; Tomoko Tateyama; Yutaro Iwamoto; Lanfen Lin; Yen-Wei Chen 001 (Neurocomputing, 2022)

Adaptive Graph Convolutional Networks for Medical Image Segmentation. - Shurong Chai; Rahul Kumar Jain 001; Yinhao Li; Jiaqing Liu; Tomoko Tateyama; Yen-Wei Chen 001 (EMBC, 2023)

Unsupervised Domain Adaptation Using Fourier Phase Enhanced Training Images for Liver Tumors Detection in Multi-phase CT Images. - Rahul Kumar Jain 001; Takahiro Sato; Ahmed M. El-Sayed; Taro Watasue; Tomohiro Nakagawa; Yutaro Iwamoto; Yinhao Li; Xianhua Han; Lanfen Lin; Hongjie Hu; Xiang Ruan; Yen-Wei Chen 001 (EMBC, 2023)

A Self-Attention Based Fusion Model of Radiomics and Deep Features for Early Recurrence Prediction in NSCLC. - Yang Ai; Yinhao Li; Rahul Kumar Jain 001; Yen-Wei Chen 001 (GCCE, 2023)

Automatic Detection of Focal Liver Lesions in Multi-phase CT Images Using One-Stage Object Detectors. - Jian Song; Junhao Zhang; ChangQiu Zhang; Rahul Kumar Jain 001; Yen-Wei Chen 001 (GCCE, 2023)

A Spatial-Temporal Graph Convolutional Networks-based Approach for the OpenPack Challenge 2022. - Shurong Chai; Jiaqing Liu; Rahul Kumar Jain 001; Yinhao Li; Tomoko Tateyama; Yen-Wei Chen 001 (PerCom Workshops, 2023)

Detection of Focal Liver Lesions in CT Images Using a Transformer-Based End-to-End Detection Model. - Jian Song; Yuchang Hu; Junhao Zhang; Rahul Kumar Jain 001; Yen-Wei Chen 001 (GCCE, 2024)

Ladder Fine-tuning Approach for SAM Integrating Complementary Network. - Shurong Chai; Rahul Kumar Jain 001; Shiyu Teng; Jiaqing Liu; Yinhao Li; Tomoko Tateyama; Yen-Wei Chen 001 (KES, 2024)

A Novel Adaptive Hypergraph Neural Network for Enhancing Medical Image Segmentation. - Shurong Chai; Rahul Kumar Jain 001; Shaocong Mo; Jiaqing Liu; Yulin Yang; Yinhao Li; Tomoko Tateyama; Lanfen Lin; Yen-Wei Chen 001 (MICCAI (9), 2024)

A motion-aware and temporal-enhanced Spatial-Temporal Graph Convolutional Network for skeleton-based human action segmentation. - Shurong Chai; Rahul Kumar Jain 001; Jiaqing Liu; Shiyu Teng; Tomoko Tateyama; Yinhao Li; Yen-Wei Chen 001 (Neurocomputing, 2024)

Unsupervised Logo Detection Using Adversarial Learning From Synthetic to Real Images. - Rahul Kumar Jain 001; Takahiro Sato; Ahmed M. El-Sayed; Taro Watasue; Tomohiro Nakagawa; Yutaro Iwamoto; Xiang Ruan; Yen-Wei Chen 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Early Recurrence Prediction of Hepatocellular Carcinoma Using Deep Learning Frameworks with Multi-Task Pre-Training. - Jian Song; Haohua Dong; Youwen Chen; Xianru Zhang; Gan Zhan; Rahul Kumar Jain 001; Yen-Wei Chen 001 (Inf., 2024)

Enhancing Depression Detection with Chain-of-Thought Prompting: From Emotion to Reasoning Using Large Language Models. - Shiyu Teng; Jiaqing Liu; Rahul Kumar Jain 001; Shurong Chai; Ruibo Hou; Tomoko Tateyama; Lanfen Lin; Yen-Wei Chen 001 (CoRR, 2025)

Multi-modal Medical SAM: An Adaptation Method of Segment Anything Model (SAM) for Glioma Segmentation Using Multi-modal MR Images. - Xiaoyu Shi; Rahul Kumar Jain 001; Yinhao Li; Shurong Chai; Jingliang Cheng; Jie Bai; Guohua Zhao; Lanfen Lin; Yen-Wei Chen 001 (ACM Trans. Comput. Heal., 2025)

SAMA: A Self-and-Mutual Attention Network for Accurate Recurrence Prediction of Non-Small Cell Lung Cancer Using Genetic and CT Data. - Yang Ai; Jing Liu 041; Yinhao Li; Fang Wang 030; Xiuju Du; Rahul Kumar Jain 001; Lanfen Lin; Yen-Wei Chen 001 (IEEE J. Biomed. Health Informatics, 2025)

TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module Exploration. - Xiaoyu Shi; Rahul Kumar Jain 001; Yinhao Li; Ruibo Hou; Jingliang Cheng; Jie Bai; Guohua Zhao; Lanfen Lin; Rui Xu 002; Yen-Wei Chen 001 (CoRR, 2025)