October 2025 issue

https://doi.org/10.59275/j.melba.2025-12e6

3 papers

Attri-Net: A Globally and Locally Inherently Interpretable Model for Multi-Label Classification Using Class-Specific Counterfactuals

2025/10/30
October 2025 issue

Susu SunCluster of Excellence: Machine Learning - New Perspectives for Science, University of Tübingen, Tübingen, Germany, Stefano WoernerCluster of Excellence: Machine Learning - New Perspectives for Science, University of Tübingen, Tübingen, Germany, Andreas MaierDepartment of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany, Lisa M. KochHertie Institute for Artificial Intelligence in Brain Health, University of Tübingen, Tübingen, Germany
Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland, Christian F. BaumgartnerCluster of Excellence: Machine Learning - New Perspectives for Science, University of Tübingen, Tübingen, Germany
Faculty of Health Sciences and Medicine, University of Lucerne, Lucerne, Switzerland

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Circle Representation for Medical Instance Object Segmentation

2025/10/20
October 2025 issue

Juming XiongDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA et al.

Juming XiongDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA, Ethan H. NguyenDepartment of Computer Science, Vanderbilt University, Nashville, TN, USA, Yilin LiuDepartment of Computer Science, Vanderbilt University, Nashville, TN, USA, Ruining DengDepartment of Computer Science, Vanderbilt University, Nashville, TN, USA, Regina N TyreeDivision of Pediatric Gastroenterology, Hepatology, and Nutrition, Vanderbilt University Medical Center, Nashville, TN, USA, Hernan CorreaDepartment of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA, Girish HiremathDivision of Pediatric Gastroenterology, Hepatology, and Nutrition, Vanderbilt University Medical Center, Nashville, TN, USA, Yaohong WangDepartment of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA, Haichun YangDepartment of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA, Agnes B. FogoDepartment of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA, Yuankai HuoDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA
Department of Computer Science, Vanderbilt University, Nashville, TN, USA
Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA

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RAIDER: Rapid, anatomy-independent, deep learning-based PDFF and R2* estimation using magnitude-only signals, dual neural networks and training data distribution design

2025/10/13
October 2025 issue

Timothy JP BrayCentre for Medical Imaging, University College London, UK
Department of Imaging, University College London Hospital, UK
The Hawkes Institute, University College London, UK, Giulio V MinoreThe Hawkes Institute, University College London, UK, Alan BainbridgeDepartment of Medical Physics, University College London Hospital, UK, Louis Dwyer-HemmingsCentre for Medical Imaging, University College London, UK
Department of Imaging, University College London Hospital, UK
The Hawkes Institute, University College London, UK, Stuart A TaylorCentre for Medical Imaging, University College London, UK
Department of Imaging, University College London Hospital, UK, Margaret A Hall-CraggsCentre for Medical Imaging, University College London, UK
Department of Imaging, University College London Hospital, UK, Hui ZhangThe Hawkes Institute, University College London, UK

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