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Deep Reinforcement Learning for Subpixel Neural Tracking.

, , , , , , , , , and . MIDL, volume 102 of Proceedings of Machine Learning Research, page 130-150. PMLR, (2019)

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Biomechanical modelling of brain atrophy through deep learning., , , , , and . CoRR, (2020)ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual Scans., , , , , , , , , and . CoRR, (2021)Image Synthesis with a Convolutional Capsule Generative Adversarial Network., , , , , , , and . MIDL, volume 102 of Proceedings of Machine Learning Research, page 39-62. PMLR, (2019)ICAM-Reg: Interpretable Classification and Regression With Feature Attribution for Mapping Neurological Phenotypes in Individual Scans., , , , , , , , , and 1 other author(s). IEEE Trans. Medical Imaging, 42 (4): 959-970 (April 2023)Distinguishing Healthy Ageing from Dementia: A Biomechanical Simulation of Brain Atrophy Using Deep Networks., , , , , and . MLCN@MICCAI, volume 13001 of Lecture Notes in Computer Science, page 13-22. Springer, (2021)PERI-Net: a parameter efficient residual inception network for medical image segmentation., , and . Turkish J. Electr. Eng. Comput. Sci., 28 (4): 2261-2277 (2020)ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping., , , , , and . NeurIPS, (2020)Deep Reinforcement Learning for Subpixel Neural Tracking., , , , , , , , , and . MIDL, volume 102 of Proceedings of Machine Learning Research, page 130-150. PMLR, (2019)