Yige Peng

According to our database, Yige Peng authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

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, Junjun He, Yige Peng, Lei Bi, Jun Ma, Bo Wang, Jia Zhang, Yukun Huang, Lars Heiliger, Zdravko Marinov, Rainer Stiefelhagen, Jan Egger, Jens Kleesiek, Ludovic Sibille, Lei Xiang, Simone Bendazzoli, Mehdi Astaraki, Michael Ingrisch, Clemens C. Cyran, Thomas Küstner

Nat. Mac. Intell., 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, Xun Xu, Yufan Wang, Kun Liu

Comput. Methods Programs Biomed., 2024

The Development Status, Challenges and Development Trends in Rehabilitation Robotics: A Review.

Liyuan Zhang, Yige Peng, Xiaoxuan Qi, Sheng Bao, Jianjun Yuan

Proceedings of the 17th International Convention on Rehabilitation Engineering and Assistive Technology, 2024

Semi-Mamba: Improving Medical Image Segmentation via Semi-Automatic Mamba Network.

Lei Bi, Yige Peng, David Dagan Feng, Jinman Kim

Proceedings of the Advances in Computer Graphics, 2024

2023

PET Synthesis via Self-supervised Adaptive Residual Estimation Generative Adversarial Network.

Yuxin Xue, Lei Bi, Yige Peng, Michael J. Fulham, David Dagan Feng, Jinman Kim

CoRR, 2023

CG-3DSRGAN: A classification guided 3D generative adversarial network for image quality recovery from low-dose PET images.

Yuxin Xue, Yige Peng, Lei Bi, Dagan Feng, Jinman Kim

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Automatic Tumor Segmentation via False Positive Reduction Network for Whole-Body Multi-Modal PET/CT Images.

Yige Peng, Jinman Kim, Dagan Feng, Lei Bi

CoRR, 2022

2021

Predicting Distant Metastases in Soft-Tissue Sarcomas from PET-CT scans using Constrained Hierarchical Multi-Modality Feature Learning.

Yige Peng, Lei Bi, Ashnil Kumar, Michael J. Fulham, Dagan Feng, Jinman Kim

CoRR, 2021

Multi-task Deep Learning for Joint Tumor Segmentation and Outcome Prediction in Head and Neck Cancer.

Mingyuan Meng, Yige Peng, Lei Bi, Jinman Kim

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021

2020

Multi-modality Information Fusion for Radiomics-Based Neural Architecture Search.

Yige Peng, Lei Bi, Michael J. Fulham, Dagan Feng, Jinman Kim

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Deep multi-modality collaborative learning for distant metastases predication in PET-CT soft-tissue sarcoma studies.

Yige Peng, Lei Bi, Yuyu Guo, Dagan Feng, Michael J. Fulham, Jinman Kim

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019