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
May 2023 issue
Farnaz Khun JushTechnology Excellence, Siemens Healthcare GmbH, Erlangen, Germany
Pattern Recognition Lab, Friedrich-Alexander-University, Erlangen, Germany, Markus BieleTechnology Excellence, Siemens Healthcare GmbH, Erlangen, Germany, Peter M. DueppenbeckerTechnology Excellence, Siemens Healthcare GmbH, Erlangen, Germany, Andreas MaierPattern Recognition Lab, Friedrich-Alexander-University, Erlangen, Germany
May 2023 issue
Florian KoflerDepartment of Informatics, Technical University Munich, GermanyFlorian KoflerDepartment of Informatics, Technical University Munich, Germany
TranslaTUM - Central Institute for Translational Cancer Research, Technical University of Munich, Germany
Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikumrechts der Isar, Technical University of Munich, Germany
Helmholtz AI, Helmholtz Zentrum München, Germany et al.
TranslaTUM - Central Institute for Translational Cancer Research, Technical University of Munich, Germany
Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikumrechts der Isar, Technical University of Munich, Germany
Helmholtz AI, Helmholtz Zentrum München, Germany, Ivan EzhovDepartment of Informatics, Technical University Munich, Germany
TranslaTUM - Central Institute for Translational Cancer Research, Technical University of Munich, Germany, Fabian IsenseeApplied Computer Vision Lab, Helmholtz Imaging, Germany
Division of Medical Image Computing, German Cancer Research Center (DKFZ), Germany, Fabian BalsigerSupport Center for Advanced Neuroimaging (SCAN), Institute for Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland, Christoph BergerDepartment of Informatics, Technical University Munich, Germany, Maximilian KoernerDepartment of Informatics, Technical University Munich, Germany, Beatrice DemirayComputer Aided Medical Procedures (CAMP), Technical University of Munich, Germany, Julia RackersederComputer Aided Medical Procedures (CAMP), Technical University of Munich, Germany
ImFusion GmbH, Munich, Germany, Johannes PaetzoldDepartment of Informatics, Technical University Munich, Germany
Helmholtz Zentrum München, Germany
Imperial College London, Hongwei LiDepartment of Informatics, Technical University Munich, Germany
Department of Quantitative Biomedicine, University of Zurich, Switzerland, Suprosanna ShitDepartment of Informatics, Technical University Munich, Germany
TranslaTUM - Central Institute for Translational Cancer Research, Technical University of Munich, Germany, Richard McKinleySupport Center for Advanced Neuroimaging (SCAN), Institute for Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland, Marie PiraudHelmholtz AI, Helmholtz Zentrum München, Germany, Spyridon BakasCenter for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, Pennsylvania, USA
Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA, Claus ZimmerDepartment of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikumrechts der Isar, Technical University of Munich, Germany, Nassir NavabComputer Aided Medical Procedures (CAMP), Technical University of Munich, Germany, Jan KirschkeDepartment of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikumrechts der Isar, Technical University of Munich, Germany, Benedikt WiestlerTranslaTUM - Central Institute for Translational Cancer Research, Technical University of Munich, Germany
Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikumrechts der Isar, Technical University of Munich, Germany
contributed equally as senior authors, Bjoern MenzeDepartment of Informatics, Technical University Munich, Germany
Department of Quantitative Biomedicine, University of Zurich, Switzerland
contributed equally as senior authors
Effect of latent space distribution on the segmentation of images with multiple annotations
2023/04/30UNSURE2022 special issue
Ishaan BhatImage Sciences Institute, University Medical Center Utrecht, The Netherlands, Josien P.W. PluimDepartment of Biomedical Engineering, Eindhoven University of Technology, The Netherlands, Max A. ViergeverImage Sciences Institute, University Medical Center Utrecht, The Netherlands, Hugo J. KuijfImage Sciences Institute, University Medical Center Utrecht, The Netherlands
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 September 1, 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.
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.
Submission deadline has been moved to August 31 2023.