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Matthew Ragoza
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Journal Articles
- 2021
- [j3]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): 43 (2021) - 2017
- [j2]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): 942-957 (2017) - 2016
- [j1]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): 761-771 (2016)
Conference and Workshop Papers
- 2023
- [c2]Matthew Ragoza
, Kayhan Batmanghelich
:
Physics-Informed Neural Networks for Tissue Elasticity Reconstruction in Magnetic Resonance Elastography. MICCAI (10) 2023: 333-343 - 2022
- [c1]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: 671-681
Informal and Other Publications
- 2022
- [i7]Yanwu Xu, Shaoan Xie, Maxwell Reynolds, Matthew Ragoza, Mingming Gong, Kayhan Batmanghelich:
Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation. CoRR abs/2206.13737 (2022) - 2021
- [i6]Matthew Ragoza, Tomohide Masuda, David Ryan Koes:
Generating 3D Molecules Conditional on Receptor Binding Sites with Deep Generative Models. CoRR abs/2110.15200 (2021) - 2020
- [i5]Matthew Ragoza, Tomohide Masuda, David Ryan Koes:
Learning a Continuous Representation of 3D Molecular Structures with Deep Generative Models. CoRR abs/2010.08687 (2020) - [i4]Tomohide Masuda, Matthew Ragoza, David Ryan Koes:
Generating 3D Molecular Structures Conditional on a Receptor Binding Site with Deep Generative Models. CoRR abs/2010.14442 (2020) - 2018
- [i3]Joshua E. Hochuli, Alec Helbling, Tamar Skaist, Matthew Ragoza, David Ryan Koes:
Visualizing Convolutional Neural Network Protein-Ligand Scoring. CoRR abs/1803.02398 (2018) - 2017
- [i2]Matthew Ragoza, Lillian Turner, David Ryan Koes:
Ligand Pose Optimization with Atomic Grid-Based Convolutional Neural Networks. CoRR abs/1710.07400 (2017) - 2016
- [i1]Matthew Ragoza, Joshua E. Hochuli, Elisa Idrobo, Jocelyn Sunseri, David Ryan Koes:
Protein-Ligand Scoring with Convolutional Neural Networks. CoRR abs/1612.02751 (2016)
Coauthor Index
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