Matthew Ragoza

Orcid: 0000-0002-1412-4886

According to our database1, Matthew Ragoza authored at least 10 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Physics-Informed Neural Networks for Tissue Elasticity Reconstruction in Magnetic Resonance Elastography.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
GNINA 1.0: molecular docking with deep learning.
J. Cheminformatics, 2021

Generating 3D Molecules Conditional on Receptor Binding Sites with Deep Generative Models.
CoRR, 2021

2020
Generating 3D Molecular Structures Conditional on a Receptor Binding Site with Deep Generative Models.
CoRR, 2020

Learning a Continuous Representation of 3D Molecular Structures with Deep Generative Models.
CoRR, 2020

2018
Visualizing Convolutional Neural Network Protein-Ligand Scoring.
CoRR, 2018

2017
Protein-Ligand Scoring with Convolutional Neural Networks.
J. Chem. Inf. Model., 2017

Ligand Pose Optimization with Atomic Grid-Based Convolutional Neural Networks.
CoRR, 2017

2016
A D3R prospective evaluation of machine learning for protein-ligand scoring.
J. Comput. Aided Mol. Des., 2016


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