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Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker.

, , , , , , and . CoRR, (2016)

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NEURO-DRAM: a 3D recurrent visual attention model for interpretable neuroimaging classification., , and . CoRR, (2019)Deep learning models for triaging hospital head MRI examinations., , , , , , , , , and 3 other author(s). Medical Image Anal., (2022)Editorial: Deep Learning in Aging Neuroscience., , , , and . Frontiers Neuroinformatics, (2020)Hierarchical Gaussian Processes with Wasserstein-2 Kernels., , , and . CoRR, (2020)An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age Modeling., , , , , , , , , and 23 other author(s). CoRR, (2021)Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker., , , , , , and . NeuroImage, (2017)Classification of Major Depressive Disorder via Multi-site Weighted LASSO Model., , , , , , , , , and 6 other author(s). MICCAI (3), volume 10435 of Lecture Notes in Computer Science, page 159-167. Springer, (2017)Automated triaging of head MRI examinations using convolutional neural networks., , , , , , , , , and 2 other author(s). MIDL, volume 143 of Proceedings of Machine Learning Research, page 813-841. PMLR, (2021)Multimodal brain-age prediction and cardiovascular risk: The Whitehall II MRI sub-study., , , , , , , , , and 3 other author(s). NeuroImage, (2020)Brain Matters: Exploring Bias in AI for Neuroimaging Research., , , and . CLIP/FAIMI/EPIMI@MICCAI, volume 14242 of Lecture Notes in Computer Science, page 112-121. Springer, (2023)