Machine Learning for Biomedical Imaging
Welcome to Melba (The Journal of 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
Label fusion and training methods for reliable representation of inter-rater uncertainty
2023/01/18
January 2023 issue
Andreanne LemayElectrical Engineering, Polytechnique Montreal
Mila, Quebec AI Institute, Montreal, QC, Canada, Charley GrosElectrical Engineering, Polytechnique Montreal
Mila, Quebec AI Institute, Montreal, QC, Canada, Enamundram Naga KarthikBiomedical Engineering, NeuroPoly lab
Mila, Quebec AI Institute, Montreal, QC, Canada, Julien Cohen-AdadElectrical Engineering, Polytechnique Montreal
Mila, Quebec AI Institute, Montreal, QC, Canada
An Approach to Automated Diagnosis and Texture Analysis of the Fetal Liver & Placenta in Fetal Growth Restriction
2023/01/10
PIPPI 2021 special issue
Aya Mutaz ZeidanKing's College London, Paula Ramirez GillilandKing's College London, Ashay PatelKing's College London, Zhanchong OuKing's College London, Dimitra FlouriKing's College London, Nada MuftiUniversity College London, Kasia MaksymUniversity College London, Rosalind AughwaneUniversity College London, Sebastien OurselinKing's College London, Anna DavidUniversity College London, Andrew MelbourneKing's College LondonAya Mutaz ZeidanKing's College London et al.
Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection
2022/12/15
December 2022 issue
Ishaan BhatUniversity Medical Center Utrecht, Josien P.W. PluimEindhoven University of Technology, Max A. ViergeverUniversity Medical Center Utrecht, Hugo J. KuijfUniversity Medical Center Utrecht
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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.
2022/07/01 – MELBA-IPMI 2021 special issue
Information Processing in Medical Imaging (IPMI) is one of the longest-running conference series in medical imaging, founded in 1969. [...] IPMI 2021 received 200 valid submissions, of which 59 were accepted for publication at the conference. From these, 29 papers were invited to submit an extended journal version to the first special edition of the MELBA journal associated with an IPMI conference. Out of the invited papers, we received 11 submissions, which all underwent a new peer-review process. [...] These papers cover the topics discussed at the conference well, ranging from uncertainty estimation, via learning hyperparameter tuning, to designing and utilizing geometric priors.
2022/06/21 – RSS feed for new articles and blog-posts
We are happy to unveil a new RSS feed (available at https://www.melba-journal.org/feed.rss), that includes both research articles and blog posts.