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A Deep Neural Network for Manifold-Valued Data with Applications to Neuroimaging.

, , , and . IPMI, volume 11492 of Lecture Notes in Computer Science, page 112-124. Springer, (2019)

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VolterraNet: A Higher Order Convolutional Network With Group Equivariance for Homogeneous Manifolds., , , and . IEEE Trans. Pattern Anal. Mach. Intell., 44 (2): 823-833 (2022)ManifoldNet: A Deep Network Framework for Manifold-valued Data., , , and . CoRR, (2018)ManifoldNet: A Deep Neural Network for Manifold-Valued Data With Applications., , , and . IEEE Trans. Pattern Anal. Mach. Intell., 44 (2): 799-810 (2022)VolterraNet: A higher order convolutional network with group equivariance for homogeneous manifolds., , , and . CoRR, (2021)A Deep Neural Network for Manifold-Valued Data with Applications to Neuroimaging., , , and . IPMI, volume 11492 of Lecture Notes in Computer Science, page 112-124. Springer, (2019)Activation Landscapes as a Topological Summary of Neural Network Performance., , and . IEEE BigData, page 3865-3870. IEEE, (2021)MVC-Net: A Convolutional Neural Network Architecture for Manifold-Valued Images With Applications., , , and . CoRR, (2020)Geometric Deep Learning for Unsupervised Registration of Diffusion Magnetic Resonance Images., , and . IPMI, volume 13939 of Lecture Notes in Computer Science, page 563-575. Springer, (2023)A Higher Order Manifold-Valued Convolutional Neural Network with Applications to Diffusion MRI Processing., , , and . IPMI, volume 12729 of Lecture Notes in Computer Science, page 304-317. Springer, (2021)The Value Index as a decision support tool applied to a new system for evaluating and selecting design alternatives., , and . Expert Syst. Appl., (2018)