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Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning., , , , , , , , , and 2 other author(s). Medical Image Anal., (2020)Evolutionary algorithms and decision trees for predicting poor outcome after endovascular treatment for acute ischemic stroke., , , , , , , , , and 7 other author(s). Comput. Biol. Medicine, (2021)A break-glass protocol based on ciphertext-policy attribute-based encryption to access medical records in the cloud., , , , , , and . Ann. des Télécommunications, 75 (3-4): 103-119 (2020)Automated determination of optimal angiographic viewing angles for coronary artery bifurcations from CTA data., , , , , , , and . Medical Imaging: Image-Guided Procedures, volume 6918 of SPIE Proceedings, page 69181J. SPIE, (2008)Remote Collaboration, Decision Support, and On-Demand Medical Image Analysis for Acute Stroke Care., , , , , , , , , and 1 other author(s). ESOCC, volume 9306 of Lecture Notes in Computer Science, page 214-225. Springer, (2015)Automatic segmentation of the aortic root in CT angiography of candidate patients for transcatheter aortic valve implantation., , , , , , and . Medical Biol. Eng. Comput., 52 (7): 611-618 (2014)In silico thrombectomy trials for acute ischemic stroke., , , , , , , , , and 6 other author(s). Comput. Methods Programs Biomed., (2023)Data-efficient deep learning of radiological image data for outcome prediction after endovascular treatment of patients with acute ischemic stroke., , , , , , , , , and 8 other author(s). Comput. Biol. Medicine, (2019)The effect of artifact rejection on the performance of a convolutional neural network based algorithm for binary EEG data classification., , , , , and . Biomed. Signal Process. Control., (August 2023)Cancer detection in mass spectrometry imaging data by dilated convolutional neural networks., , , , , , , , , and 4 other author(s). Medical Imaging: Digital Pathology, volume 10956 of SPIE Proceedings, page 109560I. SPIE, (2019)