Deep multi-modality collaborative learning for distant metastases predication in PET-CT soft-tissue sarcoma studies. - Yige Peng; Lei Bi 001; Yuyu Guo 002; Dagan Feng 001; Michael J. Fulham; Jinman Kim (EMBC, 2019)

Multi-modality Information Fusion for Radiomics-Based Neural Architecture Search. - Yige Peng; Lei Bi 001; Michael J. Fulham; Dagan Feng 001; Jinman Kim (MICCAI (7), 2020)

Multi-task Deep Learning for Joint Tumor Segmentation and Outcome Prediction in Head and Neck Cancer. - Mingyuan Meng; Yige Peng; Lei Bi 001; Jinman Kim (HECKTOR@MICCAI, 2021)

Predicting Distant Metastases in Soft-Tissue Sarcomas from PET-CT scans using Constrained Hierarchical Multi-Modality Feature Learning. - Yige Peng; Lei Bi 001; Ashnil Kumar; Michael J. Fulham; Dagan Feng 001; Jinman Kim (CoRR, 2021)

Automatic Tumor Segmentation via False Positive Reduction Network for Whole-Body Multi-Modal PET/CT Images. - Yige Peng; Jinman Kim; Dagan Feng 001; Lei Bi 001 (CoRR, 2022)

CG-3DSRGAN: A classification guided 3D generative adversarial network for image quality recovery from low-dose PET images. - Yuxin Xue; Yige Peng; Lei Bi 001; Dagan Feng 001; Jinman Kim (EMBC, 2023)

PET Synthesis via Self-supervised Adaptive Residual Estimation Generative Adversarial Network. - Yuxin Xue; Lei Bi 001; Yige Peng; Michael J. Fulham; David Dagan Feng; Jinman Kim (CoRR, 2023)

Semi-Mamba: Improving Medical Image Segmentation via Semi-Automatic Mamba Network. - Lei Bi 001; Yige Peng; David Dagan Feng; Jinman Kim (CGI (3), 2024)

The Development Status, Challenges and Development Trends in Rehabilitation Robotics: A Review. - Liyuan Zhang; Yige Peng; Xiaoxuan Qi; Sheng Bao; Jianjun Yuan 003 (i-CREATe, 2024)

Metadata information and fundus image fusion neural network for hyperuricemia classification in diabetes. - Jin Wei; Yupeng Xu; Hanying Wang; Tian Niu; Yan Jiang; Yinchen Shen; Li Su; Tianyu Dou; Yige Peng; Lei Bi 001; Xun Xu; Yufan Wang; et al. (Comput. Methods Programs Biomed., 2024)

Results from the autoPET challenge on fully automated lesion segmentation in oncologic PET/CT imaging. - Sergios Gatidis; Marcel Früh; Matthias Fabritius; Sijing Gu; Konstantin Nikolaou; Christian La Fougère; Jin Ye 002; Junjun He; Yige Peng; Lei Bi 001; Jun Ma 016; Bo Wang 044; et al. (Nat. Mac. Intell., 2024)