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Adaptable Image Quality Assessment Using Meta-Reinforcement Learning of Task Amenability., , , , , , , , , и 1 other автор(ы). ASMUS@MICCAI, том 12967 из Lecture Notes in Computer Science, стр. 191-201. Springer, (2021)Learning Image Quality Assessment by Reinforcing Task Amenable Data Selection., , , , , , , , и . IPMI, том 12729 из Lecture Notes in Computer Science, стр. 755-766. Springer, (2021)CorrSigNet: Learning CORRelated Prostate Cancer SIGnatures from Radiology and Pathology Images for Improved Computer Aided Diagnosis., , , , , , , , , и 3 other автор(ы). MICCAI (2), том 12262 из Lecture Notes in Computer Science, стр. 315-325. Springer, (2020)Correlated Feature Aggregation by Region Helps Distinguish Aggressive from Indolent Clear Cell Renal Cell Carcinoma Subtypes on CT., , , , , и . CoRR, (2022)Biomolecular pleiomorphism probed by spatial interpolation of coarse models., , и . Bioinform., 24 (21): 2460-2466 (2008)Mouse lung volume reconstruction from efficient groupwise registration of individual histological slices with natural gradient., , , , и . Medical Imaging: Image Processing, том 8669 из SPIE Proceedings, стр. 866914. SPIE, (2013)Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework., , , , , , , , , и 3 other автор(ы). Medical Image Anal., (2022)3D Registration of pre-surgical prostate MRI and histopathology images via super-resolution volume reconstruction., , , , , , , , , и 3 other автор(ы). Medical Image Anal., (2021)ProsDectNet: Bridging the Gap in Prostate Cancer Detection via Transrectal B-mode Ultrasound Imaging., , , , , , , , , и 1 other автор(ы). CoRR, (2023)Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning., , , , , , , , , и 37 other автор(ы). CoRR, (2021)