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
PIPPI 2022 special issue
Paula RamirezBiomedical Engineering and Imaging Sciences, King's College London, Alena UusBiomedical Engineering and Imaging Sciences, King's College London, Milou P.M. van PoppelBiomedical Engineering and Imaging Sciences, King's College London, Irina GrigorescuBiomedical Engineering and Imaging Sciences, King's College London, Johannes K. SteinwegBiomedical Engineering and Imaging Sciences, King's College London, David F.A. LloydBiomedical Engineering and Imaging Sciences, King's College London, Kuberan PushparajahBiomedical Engineering and Imaging Sciences, King's College London, Andrew P. KingBiomedical Engineering and Imaging Sciences, King's College London, Maria DeprezBiomedical Engineering and Imaging Sciences, King's College London
Towards Early Prediction of Human iPSC Reprogramming Success
2023/11/10October 2023 issue
Abhineet SinghDepartment of Computing Science, University of Alberta, Ila JasraAlberta Diabetes Institute, University of Alberta, Omar MouhammedAlberta Diabetes Institute, University of Alberta, Nidheesh DadheechAlberta Diabetes Institute, University of Alberta, Nilanjan RayDepartment of Computing Science, University of Alberta, James ShapiroAlberta Diabetes Institute, University of Alberta
Morphologically-Aware Consensus Computation via Heuristics-based IterATive Optimization (MACCHIatO)
2023/09/14UNSURE2022 special issue
Dimitri HamzaouiUniversité Côte d’Azur, Inria, Epione Team, Sophia Antipolis, France, Sarah MontagneAcademic Department of Radiology, Hôpital Pitié-Salpétrière, Assistance Publique des Hôpitaux de Paris, Paris, France, Raphaële Renard-PennaAcademic Department of Radiology, Hôpital Pitié-Salpétrière, Assistance Publique des Hôpitaux de Paris, Paris, France
GRC 5 Predictive Onco-Urology, Sorbonne University, Paris, France, Nicholas AyacheUniversité Côte d’Azur, Inria, Epione Team, Sophia Antipolis, France, Hervé DelingetteUniversité Côte d’Azur, Inria, Epione Team, Sophia Antipolis, France
Latest news
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.
2023/05/23 – Announcing CrossRef membership and MELBA DOI
We are happy to announce that MELBA is now a member of CrossRef, and that all published articles at MELBA are referenced there. This is retro-active, and authors are not required to take any extra step.
2022/12/19 – MELBA special issue on generative models
MELBA (The Journal of Machine Learning for Biomedical Imaging) encourages the submission of manuscripts on the general topic of “generative models for biomedical imaging and image analysis”. MELBA is 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.
In recent years, there has been a flurry of developments in machine learning (including Variational Auto-Encoders or VAEs, Generative Adversarial Networks or GANs, Normalizing Flows or NFs, and lately, Diffusion Models) that enable us to generate high-quality, realistic synthetic data such as high-dimensional images, volumes, or tensors.
Edit: The submission deadline has been moved to August 31 October 1st 2023.