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Domain generalization for prostate segmentation in transrectal ultrasound images: A multi-center study.

, , , , , , , , , and . Medical Image Anal., (2022)

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Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning., , , , , , , , , and 43 other author(s). IEEE Trans. Medical Imaging, 42 (3): 697-712 (March 2023)Deep Learning for Prostate Pathology., , , , , , , , , and 6 other author(s). CoRR, (2019)MIC-CUSP: Multimodal Image Correlations for Ultrasound-Based Prostate Cancer Detection., , , , , , , , , and 1 other author(s). ASMUS@MICCAI, volume 14337 of Lecture Notes in Computer Science, page 121-131. Springer, (2023)Framework for the co-registration of MRI and histology images in prostate cancer patients with radical prostatectomy., , , , , , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109491P. SPIE, (2019)Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework., , , , , , , , , and 3 other author(s). Medical Image Anal., (2022)3D Registration of pre-surgical prostate MRI and histopathology images via super-resolution volume reconstruction., , , , , , , , , and 3 other author(s). Medical Image Anal., (2021)Intensity normalization of prostate MRIs using conditional generative adversarial networks for cancer detection., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11597 of SPIE Proceedings, SPIE, (2021)Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning., , , , , , , , , and 37 other author(s). CoRR, (2021)Image quality assessment for machine learning tasks using meta-reinforcement learning., , , , , , , , , and 1 other author(s). CoRR, (2022)ProsDectNet: Bridging the Gap in Prostate Cancer Detection via Transrectal B-mode Ultrasound Imaging., , , , , , , , , and 1 other author(s). CoRR, (2023)