Leveraging manifold learning techniques to explore white matter anomalies: An application of the TractLearn pipeline in epilepsy. [PDF]
Neuroimage Clin, 2022 Roger E, Attyé A, Renard F, Baciu M.
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Information Geometry and Manifold Learning: A Novel Framework for Analyzing Alzheimer's Disease MRI Data. [PDF]
Diagnostics (Basel)Akgüller Ö, Balcı MA, Cioca G.
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A Manifold Learning Perspective on Representation Learning: Learning Decoder and Representations without an Encoder. [PDF]
Entropy (Basel), 2021 Schuster V, Krogh A.
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Real-time 3D MR guided radiation therapy through orthogonal MR imaging and manifold learning. [PDF]
Med PhysGinn J, Wang C, Yang D.
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Embedding Functional Brain Networks in Low Dimensional Spaces Using Manifold Learning Techniques. [PDF]
Front Neuroinform, 2021 Casanova R +5 more
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A Study of the Methane Oxidation Mechanism and Reaction Pathways Using Reactive Molecular Simulation and Nonlinear Manifold Learning. [PDF]
ACS OmegaWang J, Tang J, Chen F.
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Data-driven normative values based on generative manifold learning for quantitative MRI. [PDF]
Sci RepAttyé A +7 more
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ST-CellSeg: Cell segmentation for imaging-based spatial transcriptomics using multi-scale manifold learning. [PDF]
PLoS Comput BiolLi Y, Lac L, Liu Q, Hu P.
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Neural networks are central to modern machine learning, with applications that range from computer vision to natural language processing. Despite their success, their mathematical foundations are barely understood. At the heart of every such model lies a training procedure that amounts to solving a highly nonconvex optimization problem with many ...
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Data-driven prediction of α<sub>IIb</sub>β<sub>3</sub> integrin activation paths using manifold learning and deep generative modeling. [PDF]
Biophys JDasetty S, Bidone TC, Ferguson AL.
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