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
July 2026 issue
Iman IslamSchool of Biomedical Engineering & Imaging Sciences, King’s College London, UK, Bram RuijsinkSchool of Biomedical Engineering & Imaging Sciences, King’s College London, UK, Esther Puyol-AntónSchool of Biomedical Engineering & Imaging Sciences, King’s College London, UK, Andrew J. ReaderSchool of Biomedical Engineering & Imaging Sciences, King’s College London, UK, Andrew P. KingSchool of Biomedical Engineering & Imaging Sciences, King’s College London, UK
MELBA–BVM 2025 Special Issue
Chengze YePattern Recognition Lab, FAU Erlangen-Nürnberg, Linda-Sophie SchneiderPattern Recognition Lab, FAU Erlangen-Nürnberg, Yipeng SunPattern Recognition Lab, FAU Erlangen-Nürnberg, Mareike ThiesPattern Recognition Lab, FAU Erlangen-Nürnberg, Siyuan MeiPattern Recognition Lab, FAU Erlangen-Nürnberg, Paula Andrea Pérez-ToroPattern Recognition Lab, FAU Erlangen-Nürnberg, Siming BayerPattern Recognition Lab, FAU Erlangen-Nürnberg, Andreas MaierPattern Recognition Lab, FAU Erlangen-Nürnberg
Evaluating Synthetic Data Generation for Domain Generalization in Fetal Brain MRI Segmentation
2026/07/01July 2026 issue
Vladyslav ZalevskyiDepartment of Radiology, Lausanne University Hospital and University of Lausanne (UNIL), Lausanne, SwitzerlandVladyslav ZalevskyiDepartment of Radiology, Lausanne University Hospital and University of Lausanne (UNIL), Lausanne, Switzerland
CIBM Center for Biomedical Imaging, Lausanne, Switzerland
Equal contribution et al.
CIBM Center for Biomedical Imaging, Lausanne, Switzerland
Equal contribution, Thomas SanchezDepartment of Radiology, Lausanne University Hospital and University of Lausanne (UNIL), Lausanne, Switzerland
CIBM Center for Biomedical Imaging, Lausanne, Switzerland
Equal contribution, Margaux RouletDepartment of Radiology, Lausanne University Hospital and University of Lausanne (UNIL), Lausanne, Switzerland
CIBM Center for Biomedical Imaging, Lausanne, Switzerland, Busra BulutDepartment of Radiology, Lausanne University Hospital and University of Lausanne (UNIL), Lausanne, Switzerland
CIBM Center for Biomedical Imaging, Lausanne, Switzerland, Hélène LajousDepartment of Radiology, Lausanne University Hospital and University of Lausanne (UNIL), Lausanne, Switzerland
CIBM Center for Biomedical Imaging, Lausanne, Switzerland, Jordina Aviles VerderaInstitute for Information Processing, Leibniz University Hannover, Hannover, Germany
Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom, Sara Neves SilvaDepartment of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom, Georg LangsDepartment of Biomedical Imaging and Image-guided Therapy, Computational Imaging Research Lab (CIR), Medical University of Vienna, Vienna, Austria
Christian Doppler Laboratory for Mathematical Modelling and Simulation of Next-Generation Medical Ultrasound Devices, Medical University of Vienna, Vienna, Austria
Comprehensive Center for Artificial Intelligence in Medicine, Medical University of Vienna, Vienna, Austria, Gregor KasprianChristian Doppler Laboratory for Mathematical Modelling and Simulation of Next-Generation Medical Ultrasound Devices, Medical University of Vienna, Vienna, Austria
Division of Neuroradiology and Musculoskeletal Radiology, Department of Biomedical Imaging and Image–guided Therapy, Medical University of Vienna, Vienna, Austria, Roxane LicandroDepartment of Biomedical Imaging and Image-guided Therapy, Computational Imaging Research Lab (CIR), Medical University of Vienna, Vienna, Austria
Christian Doppler Laboratory for Mathematical Modelling and Simulation of Next-Generation Medical Ultrasound Devices, Medical University of Vienna, Vienna, Austria
Comprehensive Center for Artificial Intelligence in Medicine, Medical University of Vienna, Vienna, Austria, Jana HutterInstitute for Information Processing, Leibniz University Hannover, Hannover, Germany
Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom, Hamza KebiriDepartment of Radiology, Lausanne University Hospital and University of Lausanne (UNIL), Lausanne, Switzerland
CIBM Center for Biomedical Imaging, Lausanne, Switzerland, Meritxell Bach CuadraDepartment of Radiology, Lausanne University Hospital and University of Lausanne (UNIL), Lausanne, Switzerland
CIBM Center for Biomedical Imaging, Lausanne, Switzerland
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