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
M-FIQ: Mobile Fundus Image Quality Assessment Dataset for Teleophthalmology Screening
2026/09/21Special Issue on MICCAI Open Data 2026
João M. M. MoreiraApplied Computing Group (NCA), Federal University of Maranhão, P.O. Box 65.080-805, São Luı́s, MA, BrazilJoão M. M. MoreiraApplied Computing Group (NCA), Federal University of Maranhão, P.O. Box 65.080-805, São Luı́s, MA, Brazil
Postgraduate Program in Computer Science (PPGCC), Federal University of Maranhão,P.O. Box 65.080-805, São Luı́s, MA, Brazil et al.
Postgraduate Program in Computer Science (PPGCC), Federal University of Maranhão,P.O. Box 65.080-805, São Luı́s, MA, Brazil, João D. S. AlmeidaApplied Computing Group (NCA), Federal University of Maranhão, P.O. Box 65.080-805, São Luı́s, MA, Brazil, Elaine P. F. CostaSchool of Medicine Coordination, Federal University of Maranhão,P.O. Box 65.080-805, São Luı́s, MA, Brazil, Jhones S. SoaresApplied Computing Group (NCA), Federal University of Maranhão, P.O. Box 65.080-805, São Luı́s, MA, Brazil, Luı́s F. R. PereiraApplied Computing Group (NCA), Federal University of Maranhão, P.O. Box 65.080-805, São Luı́s, MA, Brazil
Postgraduate Program in Computer Science (PPGCC), Federal University of Maranhão,P.O. Box 65.080-805, São Luı́s, MA, Brazil, Emily G. C. RibeiroApplied Computing Group (NCA), Federal University of Maranhão, P.O. Box 65.080-805, São Luı́s, MA, Brazil, Amanda S. AlmeidaApplied Computing Group (NCA), Federal University of Maranhão, P.O. Box 65.080-805, São Luı́s, MA, Brazil, Iaze G. S. C. SantosApplied Computing Group (NCA), Federal University of Maranhão, P.O. Box 65.080-805, São Luı́s, MA, Brazil, Aristófanes C. SilvaApplied Computing Group (NCA), Federal University of Maranhão, P.O. Box 65.080-805, São Luı́s, MA, Brazil, Darlan B. P. QuintanilhaApplied Computing Group (NCA), Federal University of Maranhão, P.O. Box 65.080-805, São Luı́s, MA, Brazil, Anselmo C. PaivaApplied Computing Group (NCA), Federal University of Maranhão, P.O. Box 65.080-805, São Luı́s, MA, Brazil, Geraldo B. JuniorApplied Computing Group (NCA), Federal University of Maranhão, P.O. Box 65.080-805, São Luı́s, MA, Brazil, Marcos A. G. CamposSchool of Medicine Coordination, Federal University of Maranhão,P.O. Box 65.080-805, São Luı́s, MA, Brazil
Special Issue on MICCAI Open Data 2026
Om Shivom NagpalDepartment of Oncoradiology, All India Institute of Medical Sciences (AIIMS), New Delhi, Varun HollaDepartment of Oncoradiology, All India Institute of Medical Sciences (AIIMS), New Delhi, Kushagra ChaturvediDepartment of Oncoradiology, All India Institute of Medical Sciences (AIIMS), New Delhi, Sathish RDepartment of Oncoradiology, All India Institute of Medical Sciences (AIIMS), New Delhi, Aditi MadameDepartment of Oncoradiology, All India Institute of Medical Sciences (AIIMS), New Delhi, Ashish RastogiDepartment of Oncoradiology, All India Institute of Medical Sciences (AIIMS), New Delhi, Vipin ThampiDepartment of Oncoradiology, All India Institute of Medical Sciences (AIIMS), New Delhi, Hema MalhotraDepartment of Oncoradiology, All India Institute of Medical Sciences (AIIMS), New Delhi, Pushp LochanDepartment of Computational and Data Sciences, Indian Institute of Science (IISc), Bengaluru, Mayank BharadwajDepartment of Oncoradiology, All India Institute of Medical Sciences (AIIMS), New Delhi, Kshitiz JainDepartment of Computer Science and Engineering, Indian Institute of Technology (IIT), New Delhi, Chetan AroraDepartment of Computer Science and Engineering, Indian Institute of Technology (IIT), New Delhi, Debnath PalDepartment of Computational and Data Sciences, Indian Institute of Science (IISc), Bengaluru, Sanjay ThulkarDepartment of Oncoradiology, All India Institute of Medical Sciences (AIIMS), New Delhi, Smriti HariDepartment of Oncoradiology, All India Institute of Medical Sciences (AIIMS), New Delhi, Tanmaya VyasDepartment of Computational and Data Sciences, Indian Institute of Science (IISc), Bengaluru, Nishant ChavanDepartment of Computational and Data Sciences, Indian Institute of Science (IISc), Bengaluru, Amit GuptaDepartment of Oncoradiology, All India Institute of Medical Sciences (AIIMS), New Delhi, Krithika RangarajanDepartment of Oncoradiology, All India Institute of Medical Sciences (AIIMS), New DelhiOm Shivom NagpalDepartment of Oncoradiology, All India Institute of Medical Sciences (AIIMS), New Delhi et al.
Special Issue on MICCAI Open Data 2026
Niyoj OliNepal Applied Mathematics and Informatics Institute for Research, Nepal, Sachin AcharyaNepal Applied Mathematics and Informatics Institute for Research, Nepal, Sandesh PokhrelNepal Applied Mathematics and Informatics Institute for Research, NepalNiyoj OliNepal Applied Mathematics and Informatics Institute for Research, Nepal et al.
University of Utah, USA, Sanjay BhandariNepal Applied Mathematics and Informatics Institute for Research, Nepal
University of Utah, USA, Ramesh RanaGastrointestinal Department, Dhulikhel Hospital, Nepal, Nikesh Mani ShresthaGastrointestinal Department, Dhulikhel Hospital, Nepal, Ram Bahadur GurungGastrointestinal Department, Dhulikhel Hospital, Nepal, Yash Raj ShresthaUniversity of Lausanne, Switzerland, Prashnna K GyawaliUniversity of West Virginia, USA, Binod BhattaraiNepal Applied Mathematics and Informatics Institute for Research, Nepal
University of Aberdeen, UK
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