Yibo Gao (高一博)

gaoyibo157[at]gmail.com

ybgao22[at]m.fudan.edu.cn

Hi! This is Yibo, currently working toward my Ph.D. degree in Statistics at ZMIC Lab in the School of Data Science, Fudan University, advised by Prof. Xiahai Zhuang. I received a Bachelor of Engineering (B.Eng) degree in Electrical and Electronic Engineering from University of Electronic Science and Technology of China in the year 2022.

My research mainly focuses on medical image analysis, particularly in interpretable methods for medical image computing and extending them for practical clinical applications.

news

Feb 07, 2024	We release a tutorial for BayeSeg on Bilibili. Thanks to Ruoxuan and Menghan!
Oct 12, 2023	BayeSeg won Elsevier MICCAI MedIA Best Paper Award! Congratulations!
Jun 30, 2023	Our paper “BayeSeg: Bayesian Modeling for Medical Image Segmentation with Interpretable Generalizability” has been accepted by Medical Image Analysis (MedIA)!

selected publications

* denotes eqaul contribution

BayeSeg: Bayesian Modeling for Medical Image Segmentation with Interpretable Generalizability

Shangqi Gao* , Hangqi Zhou* , Yibo Gao*, and Xiahai Zhuang

Medical Image Analysis (MedIA), 2023

HTML PDF Code
Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation

Shangqi Gao , Hangqi Zhou , Yibo Gao, and Xiahai Zhuang

Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022

HTML PDF Code
Towards Self-Supervised and Weight-preserving Neural Architecture Search

Zhuowei Li* , Yibo Gao*, Zhenzhou Zha , Zhiqiang Hu , Qing Xia , Shaoting Zhang , and Dimitris N. Metaxas

European Conference on Computer Vision Workshop (ECCVw), 2022

HTML PDF Code
An end-to-end atrial fibrillation detection by a novel residual-based temporal attention convolutional neural network with exponential nonlinearity loss

Yibo Gao, Huan Wang , and Zuhao Liu

Knowledge-Based Systems, 2021

HTML Code