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Deep Generative Models : Second MICCAI Workshop, DGM4MICCAI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. MICCAI Workshop on Deep Generative Models (2Nd : 2022 : Singapore)|October 15, 2024
Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly DetectionAshay Patel, Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, et al.
Epilepsia|November 7, 2019
Learning to see the invisible: A data-driven approach to finding the underlying patterns of abnormality in visually normal brain magnetic resonance images in patients with temporal lobe epilepsyOscar F Bennett, Baris Kanber, Chandrashekar Hoskote, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 5, 2013
Cortical folding analysis on patients with Alzheimer's disease and mild cognitive impairmentDavid M Cash, Andrew Melbourne, Marc Modat, et al.
Jornal De Pediatria|December 20, 2003
[Congenital tuberculosis]M L Ferlin, C Bissani, S M Jorge, et al.
Journal of Medical Imaging (Bellingham, Wash.)|April 12, 2021
Anomaly detection for the individual analysis of brain PET imagesNinon Burgos, M Jorge Cardoso, Jorge Samper-González, et al.
Diseases of the Colon and Rectum|July 1, 1993
Cinedefecography and electromyography in the diagnosis of nonrelaxing puborectalis syndromeJ M Jorge, S D Wexner, G C Ger, et al.
Medical Image Analysis|March 21, 2013
STEPS: Similarity and Truth Estimation for Propagated Segmentations and its application to hippocampal segmentation and brain parcelationM Jorge Cardoso, Kelvin Leung, Marc Modat, et al.
The British Journal of Radiology|November 27, 2023
Federated learning for medical imaging radiologyMuhammad Habib Ur Rehman, Walter Hugo Lopez Pinaya, Parashkev Nachev, et al.
Medical Image Analysis|November 27, 2018
GAS: A genetic atlas selection strategy in multi-atlas segmentation frameworkMichela Antonelli, M Jorge Cardoso, Edward W Johnston, et al.
Nature Communications|July 8, 2016
aMAP is a validated pipeline for registration and segmentation of high-resolution mouse brain dataChristian J Niedworok, Alexander P Y Brown, M Jorge Cardoso, et al.
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