Machine Learning for Biomedical Imaging
Welcome to Melba (Machine Learning for Biomedical Imaging), a web-based journal devoted to the free and unrestricted access of high quality articles in the broad field that bridges machine learning and biomedical imaging.
You can read more about the mission statement of the journal, or jump right away to the journal publications. For authors, instructions are available here.
Latest publications
May 2025 issue
Donghang LyuDivision of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands, Ruochen GaoDivision of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands, Marius StaringDivision of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
May 2025 issue
Hanxue GuDepartment of Electrical and Computer Engineering Duke University, NC, USA, Haoyu DongDepartment of Electrical and Computer Engineering Duke University, NC, USA, Jichen YangDepartment of Electrical and Computer Engineering Duke University, NC, USA, Maciej A. MazurowskiDepartment of Electrical and Computer Engineering Duke University, NC, USA
Department of Radiology Duke University, NC, USA
Department of Computer Science Duke University, NC, USA
Department of Biostatistics & Bioinformatics Duke University, NC, USA
GeoLS: an Intensity-based, Geodesic Soft Labeling for Image Segmentation
2025/04/18April 2025 issue
Sukesh Adiga VasudevaÉTS Montréal, Canada
Polytechnique Montréal, Canada
MILA-Quebec AI Institute, Montréal, Canada, Jose DolzÉTS Montréal, Canada
International Laboratory on Learning Systems (ILLS), Canada, Hervé LombaertPolytechnique Montréal, Canada
ÉTS Montréal, Canada
MILA-Quebec AI Institute, Montréal, Canada
Latest news
2025/03/28 – Special issue on Fairness of AI in Medical Imaging (FAIMI)
MELBA is excited to launch a special issue in collaboration with the FAIMI initiative, spotlighting research at the intersection of machine learning, medical imaging, and ethics.This issue invites contributions on:
- Bias assessment in ML for medical imaging
- Definitions and applicability of fairness in clinical contexts
- Healthcare inequalities and bias mitigation
- Ethical, legal, and regliatory considerations
- Causality, dataset bias, and moreWe welcome extended versions of FAIMI workshop papers and new submissions from the community.
2025/03/21 – HTML version of articles available
After staying in a beta state for some time, and leveraging the great work of tools such as LaTeXML, we are now including an HTML version of the articles directly into the paper pages. This is intended to facilitate skimming through articles, notably on phone or tablet.
2024/05/14 – MELBA Symposium on Generative Models
We are thrilled to announce the MELBA Symposium on Generative Models, which will take place on Tuesday, June 11 at 9-11:30 AM EDT, 3-5:30 PM CEST! Join us for an exciting lineup of talks from spotlight papers at MELBA surrounding generative models, machine learning and biomedical imaging. Afterwards, there will be a panel discussion with all speakers moderated by a member of the MELBA board.
Meeting ID: 979 1513 2810
Passcode: 115605