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Volume-Preserving Non-Rigid Registration of MR Breast Images Using Free-Form Deformation with an Incompressibility Constraint.

, , , and . IEEE Trans. Med. Imaging, 22 (6): 730-741 (2003)

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Multi-environment lifelong deep reinforcement learning for medical imaging., , , , and . CoRR, (2023)Selective experience replay compression using coresets for lifelong deep reinforcement learning in medical imaging., , , , and . MIDL, volume 227 of Proceedings of Machine Learning Research, page 1751-1764. PMLR, (2023)Radiomic Synthesis Using Deep Convolutional Neural Networks., and . CoRR, (2018)Volume-Preserving Non-Rigid Registration of MR Breast Images Using Free-Form Deformation with an Incompressibility Constraint., , , and . IEEE Trans. Med. Imaging, 22 (6): 730-741 (2003)Multiparametric Deep Learning Tissue Signatures for a Radiological Biomarker of Breast Cancer: Preliminary Results., , , , , , and . CoRR, (2018)Finding the Optimal Compression Level for Strain-Encoded (SENC) Breast MRI; Simulations and Phantom Experiments., , and . MICCAI (1), volume 6891 of Lecture Notes in Computer Science, page 444-451. Springer, (2011)Multitask radiological modality invariant landmark localization using deep reinforcement learning., , , and . MIDL, volume 121 of Proceedings of Machine Learning Research, page 588-600. PMLR, (2020)MPRAD: A Multiparametric Radiomics Framework., and . CoRR, (2018)An Alternating-Constraints Algorithm for Volume-Preserving Non-rigid Registration of Contrast-Enhanced MR Breast Images., , , and . WBIR, volume 2717 of Lecture Notes in Computer Science, page 291-300. Springer, (2003)A framework for dynamically training and adapting deep reinforcement learning models to different, low-compute, and continuously changing radiology deployment environments., , , , and . CoRR, (2023)