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Introducing soft topology constraints in deep learning-based segmentation using projected pooling loss.

, , , , , , и . Medical Imaging: Image Processing, том 12464 из SPIE Proceedings, SPIE, (2023)

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Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation., , , , , , , , , и . Medical Image Anal., (2020)Patient-Specific Biomechanical Model of the Brain: Application to Parkinson's Disease Procedure., , , , и . IS4TH, том 2673 из Lecture Notes in Computer Science, стр. 321-331. Springer, (2003)Anatomy-Preserving Nonlinear Registration of Deep Brain ROIs Using Confidence-Based Block-Matching., , , , и . MICCAI (2), том 5242 из Lecture Notes in Computer Science, стр. 956-963. Springer, (2008)ClinicaDL: An open-source deep learning software for reproducible neuroimaging processing., , , , , , и . Comput. Methods Programs Biomed., (2022)Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review., , , , , , , , , и 7 other автор(ы). Medical Image Anal., (2021)Introducing soft topology constraints in deep learning-based segmentation using projected pooling loss., , , , , , и . Medical Imaging: Image Processing, том 12464 из SPIE Proceedings, SPIE, (2023)Accuracy of MRI Classification Algorithms in a Tertiary Memory Center Clinical Routine Cohort., , , , , , , , , и 5 other автор(ы). CoRR, (2020)Homogenization of brain MRI from a clinical data warehouse using contrast-enhanced to non-contrast-enhanced image translation with U-Net derived models., , , , , , и . Medical Imaging: Image Processing, том 12032 из SPIE Proceedings, SPIE, (2022)Evaluation of MRI-based machine learning approaches for computer-aided diagnosis of dementia in a clinical data warehouse., , , , , , и . Medical Image Anal., (октября 2023)Phase contrast MRI for discriminating brain microbleed in a multicentre clinical study., , , , , , , и . ATSIP, стр. 265-270. IEEE, (2014)