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Automatic brain arteriovenous malformations segmentation on contrast CT images using combined region proposal network and V-Net., , , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 11314 из SPIE Proceedings, SPIE, (2020)Deformable MRI-CT liver image registration using convolutional neural network with modality independent neighborhood descriptors., , , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 11597 из SPIE Proceedings, SPIE, (2021)Daily cone-beam CT multi-organ segmentation for prostate adaptive radiotherapy., , , , , , , , и . Medical Imaging: Image Processing, том 11596 из SPIE Proceedings, SPIE, (2021)Weakly non-rigid MR-TRUS prostate registration using fully convolutional and recurrent neural networks., , , , , , , , , и 1 other автор(ы). Medical Imaging: Image Processing, том 11313 из SPIE Proceedings, стр. 113132Y. SPIE, (2020)Mask R-CNN based coronary artery segmentation in coronary computed tomography angiography., , , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 11314 из SPIE Proceedings, SPIE, (2020)Deep learning-based longitudinal CT registration for anatomy variation assessment during radiotherapy., , , , , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 12033 из SPIE Proceedings, SPIE, (2022)Prostate dose prediction in HDR Brachytherapy using unsupervised multi-atlas fusion., , , , , , и . Medical Imaging: Image Processing, том 11596 из SPIE Proceedings, SPIE, (2021)Super-resolution magnetic resonance imaging reconstruction using deep attention networks., , , , , , и . Medical Imaging: Image Processing, том 11313 из SPIE Proceedings, стр. 113132J. SPIE, (2020)Non-rigid MRI-CT image registration with unsupervised deepdlearning-based deformation prediction., , , , , , , , , и . Medical Imaging: Image Processing, том 11313 из SPIE Proceedings, стр. 1131329. SPIE, (2020)An unsupervised deep learning approach for 4DCT lung deformable image registration., , , , , , , и . Medical Imaging: Image Processing, том 11313 из SPIE Proceedings, стр. 113132T. SPIE, (2020)