Jose Bouza

According to our database, Jose Bouza authored at least 8 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Geometric Deep Learning for Unsupervised Registration of Diffusion Magnetic Resonance Images.

Jose J. Bouza, Chun-Hao Yang, Baba C. Vemuri

Proceedings of the Information Processing in Medical Imaging, 2023

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

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

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

Proceedings of the Information Processing in Medical Imaging, 2021

Activation Landscapes as a Topological Summary of Neural Network Performance.

Matthew Wheeler, Jose Bouza, Peter Bubenik

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

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

2019

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

Rudrasis Chakraborty, Jose Bouza, Jonathan H. Manton, Baba C. Vemuri

Proceedings of the Information Processing in Medical Imaging, 2019

2018

ManifoldNet: A Deep Network Framework for Manifold-valued Data.

Rudrasis Chakraborty, Jose Bouza, Jonathan H. Manton, Baba C. Vemuri

CoRR, 2018