
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

The MYOSAIQ Challenge: Myocardial Segmentation with Automated Infarct Quantification
2026/08/28August 2026 issue
Olivier BernardINSA-Lyon, Universite Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1294, F-42023, Saint Etienne, FranceOlivier BernardINSA-Lyon, Universite Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1294, F-42023, Saint Etienne, France
Institut Universitaire de France (IUF), France et al.
Institut Universitaire de France (IUF), France, William A. Romero R.INSA-Lyon, Universite Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1294, F-42023, Saint Etienne, France, Cyprien BoutonINSA-Lyon, Universite Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1294, F-42023, Saint Etienne, France, Celia GoujatINSA-Lyon, Universite Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1294, F-42023, Saint Etienne, France, Hang Jung LingINSA-Lyon, Universite Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1294, F-42023, Saint Etienne, France, Pierre-Marc JodoinDepartment of Computer Science, University of Sherbrooke, Sherbrooke, QC, Canada, Fumin GuoWuhan National Library of Optoelectronics, Huazhong University of Science and Technology, Wuhan, China, Calder SheagrenSunnybrook Research Institute, University of Toronto, Toronto, Canada, Graham WrightSunnybrook Research Institute, University of Toronto, Toronto, Canada, Abdul QayyumNational Heart and Lung Institute, Faculty of Medicine, Imperial College London, London, United Kingdom, Moona MazherCentre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, Steven A. NiedererNational Heart and Lung Institute, Faculty of Medicine, Imperial College London, London, United Kingdom, Hairui WangCentre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, Xiaomei WuFudan University, Shanghai, 200433, China, Franz ThalerGottfried Schatz Research Center: Medical Physics and Biophysics, Medical University of Graz, Graz, Austria
Institute of Computer Graphics and Vision, Graz University of Technology, Graz, Austria, Gernot PlankGottfried Schatz Research Center: Medical Physics and Biophysics, Medical University of Graz, Graz, Austria, Martin UrschlerInstitute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria, Ricardo M. RosalesInstituto de Investigación en Ingenierı́a de Aragón, Universidad de Zaragoza; Instituto de Investigación Sanitaria de Aragón (IIS Aragón); CIBER-BBN, Zaragoza, Aragón, Spain, Esther PueyoInstituto de Investigación en Ingenierı́a de Aragón, Universidad de Zaragoza; Instituto de Investigación Sanitaria de Aragón (IIS Aragón); CIBER-BBN, Zaragoza, Aragón, Spain, Nicolas DuchateauINSA-Lyon, Universite Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1294, F-42023, Saint Etienne, France
Institut Universitaire de France (IUF), France, Frederic CervenanskyINSA-Lyon, Universite Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1294, F-42023, Saint Etienne, France, Patrick ClarysseINSA-Lyon, Universite Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1294, F-42023, Saint Etienne, France, Loic BelleCentre Hospitalier Annecy Genevois, France, Thomas BochatonHôpital Universitaire Cardiologique Louis Pradel, Bron, France
CarMeN INSERM U1060, Universite Claude Bernard Lyon 1, Lyon, France, Nathan MewtonHôpital Universitaire Cardiologique Louis Pradel, Bron, France
CarMeN INSERM U1060, Universite Claude Bernard Lyon 1, Lyon, France, Magalie ViallonINSA-Lyon, Universite Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1294, F-42023, Saint Etienne, France
Hôpital Universitaire de Saint-Etienne, Saint-Etienne, France, Pierre CroisilleINSA-Lyon, Universite Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1294, F-42023, Saint Etienne, France
Hôpital Universitaire de Saint-Etienne, Saint-Etienne, France

Patient Pose Assessment Using a CT-Based Framework for Synthetic Data Generation
2026/08/28MIDL 2025 special issue
Manuel LauferInstitute for Neuro- and Bioinformatics, University of Lübeck, Germany, Dominik MairhöferInstitute for Neuro- and Bioinformatics, University of Lübeck, Germany, Malte SierenUniversity Medical Center Schleswig-Holstein, Lübeck, Germany, Hauke GerdesUniversity Medical Center Schleswig-Holstein, Lübeck, Germany, Fabio Leal dos ReisUniversity Medical Center Schleswig-Holstein, Lübeck, Germany, Arpad BischofUniversity Medical Center Schleswig-Holstein, Lübeck, GermanyManuel LauferInstitute for Neuro- and Bioinformatics, University of Lübeck, Germany et al.
IMAGE Information Systems Europe GmbH, Rostock, Germany, Thomas KästerPattern Recognition Company GmbH, Lübeck, Germany, Erhardt BarthInstitute for Neuro- and Bioinformatics, University of Lübeck, Germany, Jörg BarkhausenUniversity Medical Center Schleswig-Holstein, Lübeck, Germany, Thomas MartinetzInstitute for Neuro- and Bioinformatics, University of Lübeck, Germany

Learning from Scarce Labels: Multi-View Echocardiography for Ejection Fraction Prediction
2026/08/27MIDL 2025 special issue
Zhiyuan GaoElectrical Engineering Department, California Institute of Technology, Pasadena, CA 91125, USA, Dominic YurkAsari AI, San Francisco, CA 94131, USA, Yaser S. Abu-MostafaElectrical Engineering Department, California Institute of Technology, Pasadena, CA 91125, 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