Yibo Gao (高一博)

Ph.D. student, School of Data Science, Fudan University
Shanghai, China

my_img_small.jpg

gaoyibo157[at]gmail.com

ybgao22[at]m.fudan.edu.cn

:wave: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

Jun 17, 2024 :tada:Our paper “Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis” has been accepted by MICCAI 2024!
May 10, 2024 :sparkles:We are organizing CARE 2024 challenge in conjuction with MICCAI 2024. Welcome to join in!
Feb 07, 2024 :sparkles:We release a tutorial for BayeSeg on Bilibili. Thanks to Ruoxuan and Menghan!
Oct 12, 2023 :tada:BayeSeg won Elsevier MICCAI MedIA Best Paper Award! Congratulations!
Jun 30, 2023 :tada: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

  1. evi-cem.png
    Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis
    Yibo Gao, Zheyao Gao , Xin Gao , Yuanye Liu , Bomin Wang , and Xiahai Zhuang
    Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024
    PDF Code
  2. BayeSeg.png
    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
  3. BayeSeg_conf.png
    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
  4. SSWPNAS.png
    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
  5. rta_cnn.png
    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