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Results 1-10 of 18
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Issue DateTitleAuthor(s)
31-Dec-2018Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation LearningCastro, DC; Tan, J; Kainz, B; Konukoglu, E; Glocker, B, et al
10-Jan-2017SubCMap: subject and condition specific effect mapsKonukoglu, E; Glocker, B
-Towards continual learning in medical imagingBaweja, C; Glocker, B; Kamnitsas, K
19-Mar-2019Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challengeBakas, S; Reyes, M; Jakab, A; Bauer, S; Rempfler, M, et al
5-Jun-2019Improving retinanet for CT lesion detection with dense masks from weak recist labels.Zlocha, M; Dou, Q; Glocker, B;
1-Jan-2017Unsupervised domain adaptation in brain lesion segmentation with adversarial networksKamnitsas, K; Baumgartner, C; Ledig, C; Newcombe, VFJ; Simpson, JP, et al
9-Jul-2018High-resolution mammogram synthesis using progressive generative adversarial networksKorkinof, D; Rijken, T; O'Neill, M; Yearsley, J; Harvey, H, et al
31-Dec-2016Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion SegmentationKamnitsas, K; Ledig, C; Newcombe, VFJ; Simpson, JP; Kane, AD, et al
31-Dec-2018Attention Gated Networks: Learning to Leverage Salient Regions in Medical ImagesSchlemper, J; Oktay, O; Schaap, M; Heinrich, M; Kainz, B, et al
-3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D ImagesHou, B; Khanal, B; Alansary, A; McDonagh, S; Davidson, A, et al