Matthew Ragoza

1. Generating 3D Molecules Conditional on Receptor Binding Sites with Deep Generative Models
   2021/10/28 by Matthew Ragoza, Tomohide Masuda, Ragoza, Matthew +3 · 15 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · #Chemical Synthesis and Analysis #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Protein Structure and Dynamics #Quantitative Methods (q-bio.QM)
2. Learning a Continuous Representation of 3D Molecular Structures with\n Deep Generative Models
   2020/10/16 by Matthew Ragoza, Ragoza, Matthew, Tomohide Masuda +3 · 7 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Biomolecules (q-bio.BM) #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning in Materials Science #Protein Structure and Dynamics #Quantitative Methods (q-bio.QM)
3. Generating 3D Molecular Structures Conditional on a Receptor Binding Site with Deep Generative Models
   2020/10/16 by Tomohide Masuda, Matthew Ragoza, Masuda, Tomohide +3 · 3 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomolecules (q-bio.BM) #Chemical Physics (physics.chem-ph) #Chemical Synthesis and Analysis #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Protein Structure and Dynamics
4. Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation
   2022/06/28 by Yanwu Xu, Xu, Yanwu, Shaoan Xie +9 · 3 citations
   Computer Science · Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications