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
Validation and Generalizability of Self-Supervised Image Reconstruction Methods for Undersampled MRI
2022/09/13
Thomas YuElectrical Engineering, Ecole Polytechnique Federale de Lausanne, Tom HilbertSiemens Healthcare AG, Gian Franco PireddaSiemens Healthcare AG, Arun JosephSiemens Healthcare AG, Gabriele BonnanoSiemens Healthcare AG, Salim ZenkhriRadiology, Lausanne University Hospital, Patrick OmoumiRadiology, Lausanne University Hospital, Meritxell Bach CuadraUniversity of Lausanne, Erick Canales RodriguezElectrical Engineering, Ecole Polytechnique Federale de Lausanne, Tobias KoberSiemens Healthcare AG, Jean-Philippe ThiranElectrical Engineering, Ecole Polytechnique Federale de LausanneThomas YuElectrical Engineering, Ecole Polytechnique Federale de Lausanne et al.
Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning
2022/09/04
Tianyuan YaoComputer Science, Vanderbilt University, Chang QuComputer Science, Vanderbilt University, Jun LongBig Data Institute, Central South University, Quan LiuComputer Science, Vanderbilt University, Ruining DengComputer Science, Vanderbilt University, Yuanhan TianComputer Science, Vanderbilt University, Jiachen XuComputer Science, Vanderbilt University, Aadarsh JhaComputer Science, Vanderbilt University, Zuhayr AsadComputer Science, Vanderbilt University, Shunxing BaoElectrical and Computer Engineering, Vanderbilt University, Mengyang ZhaoDartmouth College, Agnes FogoDepartment of Pathology, Vanderbilt University Medical Center, Bennett LandmanElectrical and Computer Engineering, Vanderbilt University, Haichun YangDepartment of Pathology, Vanderbilt University Medical Center, Catie ChangElectrical and Computer Engineering, Vanderbilt University, Yuankai HuoElectrical and Computer Engineering, Vanderbilt UniversityTianyuan YaoComputer Science, Vanderbilt University et al.
Latest news
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.
2022/05/27 – Recordings of the first MELBA symposium
The recordings of the first MELBA symposium are now available online.