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Knee Surgery, Sports Traumatology, Arthroscopy : Official Journal of the ESSKA|January 10, 2022
Machine learning in knee arthroplasty: specific data are key-a systematic reviewFlorian Hinterwimmer, Igor Lazic, Christian Suren, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|April 30, 2010
Non-rigid reconstruction of the beating heart surface for minimally invasive cardiac surgeryMingxing Hu, Graeme P Penney, Daniel Rueckert, et al.
Annual Review of Biomedical Engineering|March 15, 2020
Sparse Data-Driven Learning for Effective and Efficient Biomedical Image SegmentationJohn A Onofrey, Lawrence H Staib, Xiaojie Huang, et al.
IEEE Transactions on Medical Imaging|April 10, 2013
A probabilistic patch-based label fusion model for multi-atlas segmentation with registration refinement: application to cardiac MR imagesWenjia Bai, Wenzhe Shi, Declan P O'Regan, et al.
Neuroimage|February 1, 2008
Automatic segmentation of brain MRIs of 2-year-olds into 83 regions of interestIoannis S Gousias, Daniel Rueckert, Rolf A Heckemann, et al.
Neuroimage|June 21, 2012
Magnetic resonance imaging of the newborn brain: manual segmentation of labelled atlases in term-born and preterm infantsIoannis S Gousias, A David Edwards, Mary A Rutherford, et al.
Medical Image Analysis|June 11, 2019
Computational anatomy for multi-organ analysis in medical imaging: A reviewJuan J Cerrolaza, Mirella López Picazo, Ludovic Humbert, et al.
Communications Medicine|March 15, 2024
Preserving fairness and diagnostic accuracy in private large-scale AI models for medical imagingSoroosh Tayebi Arasteh, Alexander Ziller, Christiane Kuhl, et al.
IEEE Transactions on Medical Imaging|April 25, 2017
Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground TruthVanya V Valindria, Ioannis Lavdas, Wenjia Bai, et al.
Medical Image Analysis|September 21, 2015
A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motionWenjia Bai, Wenzhe Shi, Antonio de Marvao, et al.
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