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http://dx.doi.org/10.3389/fbioe.2019.00235 | DOI Listing |
JACC Cardiovasc Imaging
January 2025
Department of Cardiovascular Medicine, Stanford University, Stanford, California, USA; Department of Radiology, Stanford University, Stanford, California, USA. Electronic address:
Taiwan J Obstet Gynecol
January 2025
Department of Obstetrics and Gynecology, Taipei Veterans General Hospital, Taipei, Taiwan; Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Female Cancer Foundation, Taipei, Taiwan; Department of Medical Research, China Medical University Hospital, Taichung, Taiwan. Electronic address:
Med Image Anal
December 2024
Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, USA; Department of Neuroscience and Biomedical Engineering, Aalto University, Finland; Department of Computer Science, Aalto University, Finland.
Recent years have seen a growing interest in methods for predicting an unknown variable of interest, such as a subject's diagnosis, from medical images depicting its anatomical-functional effects. Methods based on discriminative modeling excel at making accurate predictions, but are challenged in their ability to explain their decisions in anatomically meaningful terms. In this paper, we propose a simple technique for single-subject prediction that is inherently interpretable.
View Article and Find Full Text PDFJ Interv Card Electrophysiol
January 2025
Princess Grace Hospital, Monaco, Monaco.
Neurol Res Pract
January 2025
Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
Background: Apraxia is a motor-cognitive disorder that primary sensorimotor deficits cannot solely explain. Previous research in stroke patients has focused on damage to the fronto-parietal praxis networks in the left hemisphere (LH) as the cause of apraxic deficits. In contrast, the potential role of the (left) primary motor cortex (M1) has largely been neglected.
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