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
October 2025 issue
Susu SunCluster of Excellence: Machine Learning - New Perspectives for Science, University of Tübingen, Tübingen, Germany, Stefano WoernerCluster of Excellence: Machine Learning - New Perspectives for Science, University of Tübingen, Tübingen, Germany, Andreas MaierDepartment of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany, Lisa M. KochHertie Institute for Artificial Intelligence in Brain Health, University of Tübingen, Tübingen, Germany
Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland, Christian F. BaumgartnerCluster of Excellence: Machine Learning - New Perspectives for Science, University of Tübingen, Tübingen, Germany
Faculty of Health Sciences and Medicine, University of Lucerne, Lucerne, Switzerland
On the Role of Calibration in Benchmarking Algorithmic Fairness for Skin Cancer Detection
2025/10/29Special issue on FAIMI
Brandon DominiqueNortheastern University, Boston, MA, USA 02115, Prudence LamNortheastern University, Boston, MA, USA 02115, Nicholas KurtanskyMemorial Sloan Kettering Cancer Center, New York, NY, USA 10065, Jochen WeberMemorial Sloan Kettering Cancer Center, New York, NY, USA 10065, Kivanc KoseMemorial Sloan Kettering Cancer Center, New York, NY, USA 10065, Veronica RotembergMemorial Sloan Kettering Cancer Center, New York, NY, USA 10065, Jennifer DyNortheastern University, Boston, MA, USA 02115
Circle Representation for Medical Instance Object Segmentation
2025/10/20October 2025 issue
Juming XiongDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA, Ethan H. NguyenDepartment of Computer Science, Vanderbilt University, Nashville, TN, USA, Yilin LiuDepartment of Computer Science, Vanderbilt University, Nashville, TN, USA, Ruining DengDepartment of Computer Science, Vanderbilt University, Nashville, TN, USA, Regina N TyreeDivision of Pediatric Gastroenterology, Hepatology, and Nutrition, Vanderbilt University Medical Center, Nashville, TN, USA, Hernan CorreaDepartment of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA, Girish HiremathDivision of Pediatric Gastroenterology, Hepatology, and Nutrition, Vanderbilt University Medical Center, Nashville, TN, USA, Yaohong WangDepartment of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA, Haichun YangDepartment of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA, Agnes B. FogoDepartment of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA, Yuankai HuoDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USAJuming XiongDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA et al.
Department of Computer Science, Vanderbilt University, Nashville, TN, USA
Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
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