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
Learn2Reg 2024: New Benchmark Datasets Driving Progress on New Challenges
2025/12/21December 2025 issue
Lasse HansenEchoScout GmbH, Lübeck, DE, Wiebke HeyerInstitute of Medical Informatics, Universität zu Lübeck, Lübeck, DE, Christoph GroßbröhmerInstitute of Medical Informatics, Universität zu Lübeck, Lübeck, DE, Frederic MadestaInstitute of Applied Medical Informatics, University Medical Center Hamburg-Eppendorf, Hamburg, DELasse HansenEchoScout GmbH, Lübeck, DE et al.
Institute of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, DE, Thilo SentkerInstitute of Applied Medical Informatics, University Medical Center Hamburg-Eppendorf, Hamburg, DE
Institute of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, DE, Wang JiazhengSchool of Artificial Intelligence and Robotics, Hunan University, Changsha, CN, Yuxi ZhangSchool of Artificial Intelligence and Robotics, Hunan University, Changsha, CN, Hang ZhangCornell University, New York, US, Min LiuSchool of Artificial Intelligence and Robotics, Hunan University, Changsha, CN, Junyi WangUniversity of Electronic Science and Technology of China, Chengdu, CN, Xi ZhuUniversity of Electronic Science and Technology of China, Chengdu, CN, Yuhua LiMechanical Engineering Department, Tianjin University, Tianjin, CN, Liwen WangMechanical Engineering Department, Tianjin University, Tianjin, CN, Daniil MorozovHarvard Medical School, Brigham and Women’s Hospital, Boston, US
Technical University of Munich, Munich, DE, Nazim HaouchineHarvard Medical School, Brigham and Women’s Hospital, Boston, US, Joel HonkamaaAalto University, Espoo, FI, Pekka MarttinenAalto University, Espoo, FI, Yichao ZhouCanon Medical Systems (China) Co., Ltd., Beijing, CN, Zuopeng TanCanon Medical Systems (China) Co., Ltd., Beijing, CN, Zhuoyuan WangSmart Medical Imaging, Learning and Engineering (SMLE) Lab, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, CN, Yi WangSmart Medical Imaging, Learning and Engineering (SMLE) Lab, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, CN, Hongchao ZhouSchool of Information Science and Engineering, Linyi University, Linyi, CN, Shunbo HuSchool of Information Science and Engineering, Linyi University, Linyi, CN, Yi ZhangDepartment of Imaging Physics, Delft University of Technology, Delft, NL, Qian TaoDepartment of Imaging Physics, Delft University of Technology, Delft, NL, Lukas FörnerClinical Computational Medical Imaging Research, Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Augsburg, Augsburg, DE, Thomas WendlerClinical Computational Medical Imaging Research, Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Augsburg, Augsburg, DE, Bailiang JianTechnical University of Munich, Munich, DE
TUM Klinikum Rechts der Isar, Munich, DE, Christian WachingerTechnical University of Munich, Munich, DE
TUM Klinikum Rechts der Isar, Munich, DE, Jin KimUniversity of California, Los Angeles, US, Dan RuanUniversity of California, Los Angeles, US, Marek WodzinskiAGH University of Krakow, Krakow, PL
Sano Centre for Computational Medicine, Krakow, PL, Henning MüllerInstitute of Informatics, University of Applied Sciences Western Switzerland, Sierre, CH
Medical Faculty, University of Geneva, Geneva,CH, Tony C.W. MokHong Kong University of Science and Technology, Hong Kong, HK, Xi JiaSchool of Computer Science, University of Birmingham, Birmingham, UK, Jinming DuanSchool of Computer Science, University of Birmingham, Birmingham, UK, Mikael BrudforsNVIDIA Ltd., London, UK, Seyed-Ahmad AhmadiNVIDIA GmbH, Munich, DE, Yunzheng ZhuMedical & Imaging Informatics, Department of Radiological Science, University of California, Los Angeles, US, William HsuMedical & Imaging Informatics, Department of Radiological Science, University of California, Los Angeles, US, Tina KapurHarvard Medical School, Brigham and Women’s Hospital, Boston, US, William M. WellsHarvard Medical School, Brigham and Women’s Hospital, Boston, US, Alexandra GolbyHarvard Medical School, Brigham and Women’s Hospital, Boston, US, Aaron CarassJohns Hopkins University, Baltimore, US, Harrison BaiJohns Hopkins University, Baltimore, US, Yihao LiuVanderbilt University, Nashville, US, Perrine Paul-GilloteauxNantes Université, CHU Nantes, CNRS, Inserm, BioCore, US16, SFR Bonamy, F44000 Nantes, FR, Joakim LindbladUppsala Universitet, Uppsala, SE, Nataša SladojeUppsala Universitet, Uppsala, SE, Andreas WalterAalen University, Aalen, DE, Junyu ChenJohns Hopkins University, Baltimore, US, Reuben DorentHarvard Medical School, Brigham and Women’s Hospital, Boston, US
National Institute for Research in Computer Science and Control, Paris, FR, Alessa HeringRadboud University Medical Center, Nijmegen, NL
These authors contributed equally to this work and share senior authorship., Mattias P. HeinrichInstitute of Medical Informatics, Universität zu Lübeck, Lübeck, DE
These authors contributed equally to this work and share senior authorship.
Special issue on FAIMI
John McCabeSatsuma Lab, Hawkes Institute, University College London, United Kingdom, Daryl O. ChengSatsuma Lab, Hawkes Institute, University College London, United Kingdom, Andrew CrossinghamUniversity College London Hospitals NHS Foundation Trust, London, United Kingdom, Junaid ChoudharyUniversity College London Hospitals NHS Foundation Trust, London, United Kingdom, Samantha L QuaifeCentre for Cancer Screening, Prevention, Detection and Early Diagnosis, Wolfson Institute of Population Health, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom, Tanya PatrickLungs for Living Research Centre, UCL Respiratory, University College London, United Kingdom, Monica MullinLungs for Living Research Centre, UCL Respiratory, University College London, United KingdomJohn McCabeSatsuma Lab, Hawkes Institute, University College London, United Kingdom et al.
Department of Respirology, University of British Columbia, Vancouver, Canada, Amyn BhamaniLungs for Living Research Centre, UCL Respiratory, University College London, United Kingdom, Esther Arthur-DarkwaCRUK & UCL Cancer Trials Centre, University College London, London, United Kingdom, Aoife WalkerCRUK & UCL Cancer Trials Centre, University College London, London, United Kingdom, Arjun NairUniversity College London Hospitals NHS Foundation Trust, London, United Kingdom, Alan HackshawCRUK & UCL Cancer Trials Centre, University College London, London, United Kingdom, SUMMIT consortium , Sam M. JanesLungs for Living Research Centre, UCL Respiratory, University College London, United Kingdom, Joseph JacobSatsuma Lab, Hawkes Institute, University College London, United Kingdom, Carole H. SudreUnit for Lifelong Health and Ageing at UCL, Department of Population Science and Experimental Medicine, University College London, United Kingdom
Hawkes Institute, University College London, United Kingdom
Fairness Evaluation of Risk Estimation Models for Lung Cancer Screening
2025/12/21Special issue on FAIMI
Shaurya GaurDiagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, the Netherlands
Department of Artificial Intelligence, Radboud University, Nijmegen, the Netherlands, Michel VitaleDiagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, the Netherlands
Ethics of Healthcare Group, Department IQ Health, Radboud University Medical Center, Nijmegen, the Netherlands, Alessa HeringDiagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, the Netherlands, Johan KwisthoutDepartment of Artificial Intelligence, Radboud University, Nijmegen, the Netherlands, Colin JacobsDiagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, the Netherlands, Lena PhilippDiagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, the Netherlands, Fennie van der GraafDiagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, the Netherlands
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