ManifoldNet: A Deep Network Framework for Manifold-valued Data. - Rudrasis Chakraborty; Jose Bouza; Jonathan H. Manton; Baba C. Vemuri (CoRR, 2018)

A Deep Neural Network for Manifold-Valued Data with Applications to Neuroimaging. - Rudrasis Chakraborty; Jose Bouza; Jonathan H. Manton; Baba C. Vemuri (IPMI, 2019)

MVC-Net: A Convolutional Neural Network Architecture for Manifold-Valued Images With Applications. - Jose J. Bouza; Chun-Hao Yang; David E. Vaillancourt; Baba C. Vemuri (CoRR, 2020)

Activation Landscapes as a Topological Summary of Neural Network Performance. - Matthew Wheeler; Jose Bouza; Peter Bubenik (IEEE BigData, 2021)

A Higher Order Manifold-Valued Convolutional Neural Network with Applications to Diffusion MRI Processing. - Jose J. Bouza; Chun-Hao Yang; David E. Vaillancourt; Baba C. Vemuri (IPMI, 2021)

VolterraNet: A Higher Order Convolutional Network With Group Equivariance for Homogeneous Manifolds. - Monami Banerjee; Rudrasis Chakraborty; Jose Bouza; Baba C. Vemuri (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

ManifoldNet: A Deep Neural Network for Manifold-Valued Data With Applications. - Rudrasis Chakraborty; Jose Bouza; Jonathan H. Manton; Baba C. Vemuri (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Geometric Deep Learning for Unsupervised Registration of Diffusion Magnetic Resonance Images. - Jose J. Bouza; Chun-Hao Yang; Baba C. Vemuri (IPMI, 2023)