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.
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
Understanding differences in applying DETR to natural and medical images
2025/05/30May 2025 issue
Yanqi XuCenter for Data Science, New York Univeristy, New York, NY, USA, Yiqiu ShenNYU Grossman School of Medicine, New York, NY, USA, Carlos Fernandez-GrandaCenter for Data Science, New York Univeristy, New York, NY, USA, Laura HeacockNYU Langone Health, New York, NY, USA, Krzysztof J. GerasNYU Grossman School of Medicine, New York, NY, USA
BrainMorph: A Foundational Keypoint Model for Robust and Flexible Brain MRI Registration
2025/05/27May 2025 issue
Alan Q. WangDepartment of Radiology, Weill Cornell Medicine, New York City, NY, USA, Rachit SalujaDepartment of Radiology, Weill Cornell Medicine, New York City, NY, USA, Heejong KimDepartment of Radiology, Weill Cornell Medicine, New York City, NY, USA, Xinzi HeDepartment of Radiology, Weill Cornell Medicine, New York City, NY, USA, Adrian DalcaComputer Science and Artificial Intelligence Lab at the Massachusetts Institute of Technology, Cambridge, MA, USA, Mert R. SabuncuSchool of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA
May 2025 issue
Donghang LyuDivision of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands, Ruochen GaoDivision of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands, Marius StaringDivision of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, 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