Matthew Ragoza

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 12

Top Topics

Convolutional Neural Networks

Deep Belief Networks

Generative Model

Top Venues

J. Cheminformatics

J. Chem. Inf. Model.

J. Comput. Aided Mol. Des.

Publications

Matthew Ragoza, Kayhan Batmanghelich
Physics-Informed Neural Networks for Tissue Elasticity Reconstruction in Magnetic Resonance Elastography. MICCAI (10) (2023)
Yanwu Xu, Shaoan Xie, Maxwell Reynolds, Matthew Ragoza, Mingming Gong, Kayhan Batmanghelich
Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation. CoRR (2022)
Yanwu Xu, Shaoan Xie, Maxwell Reynolds, Matthew Ragoza, Mingming Gong, Kayhan Batmanghelich
Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation. MICCAI (8) (2022)
Andrew T. McNutt, Paul G. Francoeur, Rishal Aggarwal, Tomohide Masuda, Rocco Meli, Matthew Ragoza, Jocelyn Sunseri, David Ryan Koes
GNINA 1.0: molecular docking with deep learning. J. Cheminformatics 13 (1) (2021)
Matthew Ragoza, Tomohide Masuda, David Ryan Koes
Generating 3D Molecules Conditional on Receptor Binding Sites with Deep Generative Models. CoRR (2021)
Tomohide Masuda, Matthew Ragoza, David Ryan Koes
Generating 3D Molecular Structures Conditional on a Receptor Binding Site with Deep Generative Models. CoRR (2020)
Matthew Ragoza, Tomohide Masuda, David Ryan Koes
Learning a Continuous Representation of 3D Molecular Structures with Deep Generative Models. CoRR (2020)
Joshua E. Hochuli, Alec Helbling, Tamar Skaist, Matthew Ragoza, David Ryan Koes
Visualizing Convolutional Neural Network Protein-Ligand Scoring. CoRR (2018)
Matthew Ragoza, Lillian Turner, David Ryan Koes
Ligand Pose Optimization with Atomic Grid-Based Convolutional Neural Networks. CoRR (2017)
Matthew Ragoza, Joshua E. Hochuli, Elisa Idrobo, Jocelyn Sunseri, David Ryan Koes
Protein-Ligand Scoring with Convolutional Neural Networks. J. Chem. Inf. Model. 57 (4) (2017)
Jocelyn Sunseri, Matthew Ragoza, Jasmine Collins, David Ryan Koes
A D3R prospective evaluation of machine learning for protein-ligand scoring. J. Comput. Aided Mol. Des. 30 (9) (2016)
Matthew Ragoza, Joshua E. Hochuli, Elisa Idrobo, Jocelyn Sunseri, David Ryan Koes
Protein-Ligand Scoring with Convolutional Neural Networks. CoRR (2016)