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
Alternative Learning Paradigms for Image Quality Transfer
2024/11/12November 2024 issue
Ahmed Karam EldalyCentre for Medical Image Computing, Department of Computer Science, University College London, UK
Department of Computer Science, University of Exeter, UK, Matteo FiginiCentre for Medical Image Computing, Department of Computer Science, University College London, UK, Daniel C. AlexanderCentre for Medical Image Computing, Department of Computer Science, University College London, UK
October 2024 issue
Thomas BuddenkotteDepartment of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg- Eppendorf, Hamburg, Germany
jung diagnostics, Hamburg Germany
Department of Oncology, University of Cambridge, UK, Roland Opferjung diagnostics, Hamburg Germany, Julia Krügerjung diagnostics, Hamburg Germany, Alessa HeringDepartment of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands, Mireia Crispin-OrtuzarEarly Cancer Institute, Department of Oncology, University of Cambridge, UK
Cancer Research UK Cambridge Centre, University of Cambridge, UK
UNSURE2023 special issue
McKell WoodlandThe University of Texas MD Anderson Cancer Center, Houston, TX, USAMcKell WoodlandThe University of Texas MD Anderson Cancer Center, Houston, TX, USA
Rice University, Houston, TX, USA et al.
Rice University, Houston, TX, USA, Nihil PatelThe University of Texas MD Anderson Cancer Center, Houston, TX, USA, Austin CasteloThe University of Texas MD Anderson Cancer Center, Houston, TX, USA, Mais Al TaieThe University of Texas MD Anderson Cancer Center, Houston, TX, USA, Mohamed EltaherThe University of Texas MD Anderson Cancer Center, Houston, TX, USA, Joshua P. YungThe University of Texas MD Anderson Cancer Center, Houston, TX, USA, Tucker J. NethertonThe University of Texas MD Anderson Cancer Center, Houston, TX, USA, Tiffany L. CalderoneThe University of Texas MD Anderson Cancer Center, Houston, TX, USA, Jessica I. SanchezThe University of Texas MD Anderson Cancer Center, Houston, TX, USA, Darrel W. CleereHouston Methodist Hospital, Houston, TX, USA, Ahmed ElsaieyHouston Methodist Hospital, Houston, TX, USA, Nakul GuptaHouston Methodist Hospital, Houston, TX, USA, David VictorHouston Methodist Hospital, Houston, TX, USA, Laura BerettaThe University of Texas MD Anderson Cancer Center, Houston, TX, USA, Ankit B. PatelBaylor College of Medicine, Houston, TX, USA
Rice University, Houston, TX, USA, Kristy K. BrockThe University of Texas MD Anderson Cancer Center, Houston, TX, USA
Latest news
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
2024/02/02 – Journal-to-conference track at MIDL 2024
The MELBA board happy to announce that, in partnership with the MIDL foundation, MIDL 2024 will feature a "journal-to-conference" track, inviting recently published* MELBA papers to present their work during the conference. Going forward newly published** papers will have the possibility to present their work at MIDL.
Moreover, the best papers of the conference will be invited to submit a journal extension to a special issue in the MELBA journal.
This will strenghten the ongoing partnership between the MIDL foundation and MELBA board, both of which are strongly committed to Open Science and Open Access.
* This excludes papers that are already an extension of a conference/workshop paper.
** Registration deadline will be communicated at a later date.
2023/05/24 – MELBA special issue on image registration
Motion estimation, shape matching and multimodal fusion are some of the core applications in medical image registration that have seen substantial progress through the advent of deep learning-based technique over recent years. We invite you to submit full papers or extended conference works that extend the knowledge in this emerging research field. Submissions are invited in all areas of learning-based medical image registration.
We kindly invite researchers to contribute their high-quality original articles on these topics to our Special Issue. We will be considering submissions between now and Oct 1, 2023 November 30 2023. When submitting your manuscript, the authors should use the cover letter to indicate their intention to be considered in the special issue. The editorial team will aim to streamline the reviews and return a decision within 4-6 weeks from submission. Final accepted papers will be highlighted in a special issue that will be collectively published in the fall/winter of 2023.
In conjunction with MIDL 2024 in Paris we are planning to provide an automatic presentation slot for all original papers accepted within this special issue if the authors are interested in showcasing their research to this audience as well.
Guest Editors:
- Dr. Veronika Zimmer, TU München, Germany;
- Dr. Alessa Hering, RadboudUMC, Netherlands;
- Dr. Mattias Heinrich, University of Lübeck, Germany.
Edit: The submission deadline has been extended from October 1 to November 30, 2023.