ML4BMI since 2020 (first year)

Machine Learning for Biological and Medical Image Big Data

IEEE BIBM 2025 Workshop

Wuhan, China | December 15-18, 2025

About the Workshop

Advancing biomedical imaging through machine learning

Research Focus

Machine learning is transforming biological and medical imaging. Advanced deep learning methods are enhancing how we analyze and interpret complex biomedical images, driving breakthroughs in diagnostics and research.

Big Data Challenges

Rapidly growing biomedical image datasets demand intelligent solutions. The key challenge is developing deep learning techniques that fully extract patterns and insights from massive-scale imaging data.

CCF TCBI Partnership

Co-organized with CCF TCBI since 2020. The China Computer Federation's Technical Committee of Bioinformatics advances bioinformatics research, fosters global collaboration, and bridges academia with industry.

ML4BMI showcases cutting-edge machine learning advances in biomedical imaging and analysis. We bring together global experts to exchange ideas, share breakthroughs, and shape the future of intelligent medical imaging.

Bioinformatics merges information science with biology, harnessing algorithms, machine learning, and AI to solve complex biological challenges. As biological big data transforms research, CCF TCBI drives academic collaboration, industry partnerships, and interdisciplinary talent development.

Topics of Interest

Areas we cover in this workshop

Deep Learning Techniques for Image Analysis

Big Data Challenges in Biomedical Imaging

Image Segmentation and Classification

Applications of Convolutional Neural Networks in Medical Imaging

Data Augmentation and Synthesis for Medical Images

Explainability and Interpretability of Machine Learning Models

Organizing Committee

Meet our program chairs and committee members

Program Co-chairs

Dr. Fa Zhang

Professor

Beijing Institute of Technology, China

zhangfa@bit.edu.cn

Dr. Min Li

Professor

Central South University, China

limin@mail.csu.edu.cn

Dr. Xuefeng Cui

Professor

Shandong University, China

xfcui@email.sdu.edu.cn

Program Committee Members

Dr. Hongmin Cai South China University of Technology, China

Dr. Xin Gao KAUST, Saudi Arabia

Dr. Fei Guo Central South University, China

Dr. Xiaowen Liu Tulane University, USA

Dr. Qin Ma Ohio State University, USA

Dr. Lianrong Pu Shandong University, China

Dr. Xiaohua Wan Beijing Institute of Technology, China

Dr. Lusheng Wang City University of Hong Kong, China

Dr. Lei Xie City University of New York, USA

Dr. Eric Lu Zhang Hong Kong Baptist University, China

Dr. Luoxin Zhang National University of Singapore, Singapore

Dr. Binhai Zhu Montana State University, USA

Machine Learning for Biological and Medical Image Big Data

About the Workshop

Research Focus

Big Data Challenges

CCF TCBI Partnership

Topics of Interest

Deep Learning Techniques for Image Analysis

Big Data Challenges in Biomedical Imaging

Image Segmentation and Classification

Applications of Convolutional Neural Networks in Medical Imaging

Data Augmentation and Synthesis for Medical Images

Explainability and Interpretability of Machine Learning Models

Important Dates

Organizing Committee

Program Co-chairs

Dr. Fa Zhang

Dr. Min Li

Dr. Xuefeng Cui

Program Committee Members

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