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. There are no publication charges with MELBA: you wrote it, the community reviewed it, we publish it – no hidden charges and you own your own publication. *
* The Scholastica submission system requires a $10 charge during initial submission. However, we are actively working on removing this as well.
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
Geodesic-informed Generative Diffusion Model For Topology-preserved Image Video Generation
2026/08/30IPMI 2025 special issue
Nian WuDepartment of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, USA, Nivetha JayakumarDepartment of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, USA, Jiarui XingSchool of Medicine, Yale University, New Haven, CT, USA, Miaomiao ZhangDepartment of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, USA
Department of Computer Science, University of Virginia, Charlottesville, VA, USA
Benchmarking Self-Supervised Learning Methods for Accelerated MRI Reconstruction
2026/08/29August 2026 issue
Andrew WangInstitute for Imaging, Data and Communications, School of Engineering, University of Edinburgh, Steven McDonaghInstitute for Imaging, Data and Communications, School of Engineering, University of Edinburgh, Mike DaviesInstitute for Imaging, Data and Communications, School of Engineering, University of Edinburgh
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