Matthew Ragoza

12 papers Journal 10Unranked 2

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