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Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks.

, , , , , , , and . MICCAI (2), volume 10434 of Lecture Notes in Computer Science, page 368-376. Springer, (2017)

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Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI-ultrasound registration., , , , , , and . Medical Image Anal., (2019)The ReIMAGINE Multimodal Warehouse: Using Artificial Intelligence for Accurate Risk Stratification of Prostate Cancer., , , , , , , , , and 1 other author(s). Frontiers Artif. Intell., (2021)Label-driven weakly-supervised learning for multimodal deformarle image registration., , , , , , , , , and . ISBI, page 1070-1074. IEEE, (2018)Inter-site Variability in Prostate Segmentation Accuracy Using Deep Learning., , , , , , , and . MICCAI (4), volume 11073 of Lecture Notes in Computer Science, page 506-514. Springer, (2018)Knowledge and insights from a maturing international clinical quality registry., , , , , , , , , and 9 other author(s). J. Am. Medical Informatics Assoc., 29 (5): 964-969 (2022)Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration., , , , , , , , , and 4 other author(s). CoRR, (2018)Label-driven weakly-supervised learning for multimodal deformable image registration., , , , , , , , , and . CoRR, (2017)Development and Phantom Validation of a 3-D-Ultrasound-Guided System for Targeting MRI-Visible Lesions During Transrectal Prostate Biopsy., , , , , , , , , and 2 other author(s). IEEE Trans. Biomed. Eng., 64 (4): 946-958 (2017)Adversarial Deformation Regularization for Training Image Registration Neural Networks., , , , , , , , and . MICCAI (1), volume 11070 of Lecture Notes in Computer Science, page 774-782. Springer, (2018)Population-based prediction of subject-specific prostate deformation for MR-to-ultrasound image registration., , , , , and . Medical Image Anal., 26 (1): 332-344 (2015)