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Simultaneous Detection and Quantification of Retinal Fluid with Deep Learning., , , и . CoRR, (2017)Joint segmentation of anatomical and functional images: Applications in quantification of lesions from PET, PET-CT, MRI-PET, and MRI-PET-CT images., , , , , , , и . Medical Image Anal., 17 (8): 929-945 (2013)Joint solution for PET image segmentation, denoising, and partial volume correction., , , , , , и . Medical Image Anal., (2018)Atlas-based rib-bone detection in chest X-rays., , , , , , и . Comput. Medical Imaging Graph., (2016)The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset., , , , , , , , , и 19 other автор(ы). CoRR, (2020)A Collaborative Computer Aided Diagnosis (C-CAD) System with Eye-Tracking, Sparse Attentional Model, and Deep Learning., , , , , и . CoRR, (2018)Deep Learning for Musculoskeletal Image Analysis., , , и . CoRR, (2020)Enhancing organ at risk segmentation with improved deep neural networks., , , , , , и . Medical Imaging: Image Processing, том 12032 из SPIE Proceedings, SPIE, (2022)TumorNet: Lung nodule characterization using multi-view Convolutional Neural Network with Gaussian Process., , , , и . ISBI, стр. 1007-1010. IEEE, (2017)How to fool radiologists with generative adversarial networks? A visual turing test for lung cancer diagnosis., , , и . ISBI, стр. 240-244. IEEE, (2018)