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 2026 issue
Johannes SchwarzRuhr-Epileptology, Department of Neurology, University Hospital Knappschaftskrankenhaus Bochum, Ruhr-University Bochum, Bochum, Germany, Lena WillRuhr-Epileptology, Department of Neurology, University Hospital Knappschaftskrankenhaus Bochum, Ruhr-University Bochum, Bochum, Germany
Ruhr-Epileptology, Department of Radiology and Neuroradiology, University Hospital Knappschaftskrankenhaus Bochum, Ruhr-University Bochum, Bochum, Germany, Jörg WellmerRuhr-Epileptology, Department of Neurology, University Hospital Knappschaftskrankenhaus Bochum, Ruhr-University Bochum, Bochum, Germany, Axel MosigRuhr-University Bochum, Center for Protein Diagnostics, Bochum, Germany
Ruhr-University Bochum, Faculty of Biology and Biotechnology, Bioinformatics Group, Bochum, Germany
OncoReg: Medical Image Registration for Oncological Challenges
2026/10/11October 2026 issue
Wiebke HeyerInstitute of Medical Informatics, University of Lübeck, Lübeck, Germany, Yannic ElserInstitute of Radiology and Nuclear Medicine, University Hospital Schleswig-Holstein, Lübeck, Germany, Lennart BerkelInstitute of Radiology and Nuclear Medicine, University Hospital Schleswig-Holstein, Lübeck, Germany, Xinrui SongDepartment of Biomedical Engineering and Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY, USA, Xuanang XuDepartment of Biomedical Engineering and Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY, USA, Pingkun YanDepartment of Biomedical Engineering and Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY, USA, Xi JiaSchool of Computer Science, University of Birmingham, Birmingham, UK, Jinming DuanSchool of Computer Science, University of Birmingham, Birmingham, UKWiebke HeyerInstitute of Medical Informatics, University of Lübeck, Lübeck, Germany et al.
Division of Informatics, Imaging and Data Sciences, University of Manchester, UK, Zi LiDAMO Academy, Alibaba Group, Hangzhou, China, Tony C. W. MokDAMO Academy, Alibaba Group, Hangzhou, China, BoWen LIHangzhou Shengshi Technology Co., Ltd, Hangzhou, China, Tim HableInstitute of Medical Informatics, University of Lübeck, Lübeck, Germany, Christian StaackmannDepartment of Radiation Oncology, University Hospital Schleswig-Holstein, Lübeck, Germany, Christoph GroßbröhmerInstitute of Medical Informatics, University of Lübeck, Lübeck, Germany, Lasse HansenEchoScout GmbH, Lübeck, Germany, Alessa HeringRadboud University Medical Center, Nijmegen, Netherlands, Malte M. SierenInstitute of Radiology and Nuclear Medicine, University Hospital Schleswig-Holstein, Lübeck, Germany
Institute of Interventional Radiology, University Hospital Schleswig-Holstein, Lübeck, Germany, Mattias P. HeinrichInstitute of Medical Informatics, University of Lübeck, Lübeck, Germany
October 2026 issue
Zhenhao GuoNew York University, New York, NY 10012, USA, Rachit SalujaCornell Tech, New York, NY 10044, USA, Tianyu ShiSichuan University, Chengdu, 610207, CN, Tianyuan YaoVanderbilt University, Nashville, TN, 37235, USA, Quan LiuVanderbilt University, Nashville, TN, 37235, USA, Junchao ZhuVanderbilt University, Nashville, TN, 37235, USA, Haibo WangCarnegie Mellon University, Pittsburgh, PA 15213, USA, Daniel ReisenbüchlerUniversity of Regensburg, Regensburg, Bavaria 93053, DE, Haichun YangVanderbilt University Medical Center, Nashville, TN, 37232, USA, Yuankai HuoVanderbilt University, Nashville, TN, 37235, USA, Benjamin LiechtyWeill Cornell Medicine, New York, NY 10065, USA, David J. PisapiaWeill Cornell Medicine, New York, NY 10065, USA, Kenji IkemuraWeill Cornell Medicine, New York, NY 10065, USA, Steven SalvatoreeWeill Cornell Medicine, New York, NY 10065, USA, Surya SeshaneWeill Cornell Medicine, New York, NY 10065, USA, Mert R. SabuncuCornell Tech, New York, NY 10044, USAZhenhao GuoNew York University, New York, NY 10012, USA et al.
Weill Cornell Medicine, New York, NY 10065, USA, Yihe YangWeill Cornell Medicine, New York, NY 10065, USA
Northwell Health, New Hyde Park, NY 11040, USA, Ruining DengVanderbilt University, Nashville, TN, 37235, USA
Weill Cornell Medicine, New York, NY 10065, 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