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Results 1-10 of 11
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Issue DateTitleAuthor(s)
15-Sep-2018Small organ segmentation in whole-body MRI using a two-stage FCN and weighting schemesValindria, V; Lavdas, I; Cerrolaza, J; Aboagye, EO; Rockall, A, et al
17-Apr-2017Reverse classification accuracy: predicting segmentation performance in the absence of ground truthValindria, V; Lavdas, I; Bai, W; Kamnitsas, K; Aboagye, E, et al
21-Nov-2016Titin truncating variants affect heart function in disease cohorts and the general populationSchafer, S; De Marvao, A; Adami, E; Fiedler, LR; Ng, B, et al
21-Jul-2016ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRIMaier, O; Menze, BH; Von der Gablentz, J; Häni, L; Heinrich, MP, et al
1-May-2017Machine learning of three-dimensional right ventricular motion enables outcome prediction in pulmonary hypertension: a cardiac MR imaging studyDawes, T; Simoes monteiro de marvao, A; Shi, W; Fletcher, T; Watson, G, et al
31-May-2016Relationship between body composition and left ventricular geometry using three dimensional cardiovascular magnetic resonanceCorden, B; De Marvao, A; Dawes, T; Shi, W; Rueckert, D, et al
30-Jul-2017Fully automatic, multi-organ segmentation in normal whole body magnetic resonance imaging (MRI), using classification forests (CFs), convolutional neural networks (CNNs) and a multi-atlas (MA) approach.Lavdas, I; Glocker, B; Kamnitsas, K; Rueckert, D; Mair, H, et al
1-Aug-2018Rapid automated quantification of cerebral leukoaraiosis on CT: a multicentre validation studyChen, L; Carlton Jones, AL; Mair, G; Patel, R; Gontsarova, A, et al
12-Mar-2018Multi-Modal Learning from Unpaired Images: Application to Multi-Organ Segmentation in CT and MRIValindria, V; Pawlowski, N; Rajchl, M; Lavdas, I; Aboagye, EO, et al
13-Sep-2016Stratified decision forests for accurate anatomical landmark localization in cardiac imagesOktay, O; Bai, W; Guerrero, R; Rajchl, M; De Marvao, A, et al