| Structural learning of proteins using graph convolutional neural networks R Zamora-Resendiz, S Crivelli BioRxiv, 610444, 2019 | 40* | 2019 |
| A spatial mapping algorithm with applications in deep learning-based structure classification T Corcoran, R Zamora-Resendiz, X Liu, S Crivelli arXiv preprint arXiv:1802.02532, 2018 | 19 | 2018 |
| Identification of novel, replicable genetic risk loci for suicidal thoughts and behaviors among US military veterans NA Kimbrel, AE Ashley-Koch, XJ Qin, JH Lindquist, ME Garrett, ... JAMA psychiatry 80 (2), 135-145, 2023 | 15 | 2023 |
| An examination of the association between altitude and suicide deaths, suicide attempts, and suicidal ideation among veterans at both the patient and geospatial level X Wang, R Zamora-Resendiz, CD Shelley, C Manore, X Liu, DW Oslin, ... Journal of psychiatric research 153, 276-283, 2022 | 8 | 2022 |
| A case for developing domain-specific vocabularies for extracting suicide factors from healthcare notes D Morrow, R Zamora-Resendiz, JC Beckham, NA Kimbrel, DW Oslin, ... Journal of psychiatric research 151, 328-338, 2022 | 6 | 2022 |
| High dimensional predictions of suicide risk in 4.2 million US Veterans using ensemble transfer learning S Dhaubhadel, K Ganguly, RM Ribeiro, JD Cohn, JM Hyman, ... Scientific reports 14 (1), 1793, 2024 | 3 | 2024 |
| Using electronic health record metadata to predict housing instability amongst veterans R Zamora-Resendiz, DW Oslin, D Hooshyar, S Crivelli, ... Preventive Medicine Reports 37, 102505, 2024 | 1 | 2024 |
| Multiscale Graph Neural Networks for Protein Residue Contact Map Prediction K Liu, RK Kalia, X Liu, A Nakano, K Nomura, P Vashishta, ... arXiv preprint arXiv:2212.02251, 2022 | 1 | 2022 |
| Artificial intelligence to unlock real‐world evidence in clinical oncology: A primer on recent advances AK Bryant, R Zamora‐Resendiz, X Dai, D Morrow, Y Lin, KM Jungles, ... Cancer medicine 13 (12), e7253, 2024 | | 2024 |
| Towards Maps of Disease Progression: Biomedical Large Language Model Latent Spaces For Representing Disease Phenotypes And Pseudotime R Zamora-Resendiz, I Khurram, S Crivelli medRxiv, 2024.06. 16.24308979, 2024 | | 2024 |
| Predictive Modeling and Deep Phenotyping of Obstructive Sleep Apnea and Associated Comorbidities through Natural Language Processing and Large Language Models A Ahmed, A Rispoli, C Wasieloski, I Khurram, R Zamora-Resendiz, ... medRxiv, 2024.04. 19.24306084, 2024 | | 2024 |
| Utilizing Large Language Models for Disease Phenotyping in Obstructive Sleep Apnea I Khurram, R Zamora-Resendiz, D Morrow, S Crivelli Critical Care Medicine 52, 2024 | | 2024 |
| MVP-CTL Fellowship for Suicide Intervention (CRADA Final Report) R Zamora-Resendiz, S Greene Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States …, 2022 | | 2022 |
| Determination of Protein Coarse-Grained Potentials by Machine Learning Approaches E Vazquez, R Thomas, R Zamora-Resendiz, YH Tang, M Watanabe, ... Biophysical Journal 118 (3), 180a, 2020 | | 2020 |
| Predicting ICU Readmission with Context-Enriched Deep Learning R Zamora-Resendiz, X Wang, X Liu, S Crivelli | | |
| A Novel Feature-Preserving Spatial Mapping for Deep Learning Classification of RAS Structures T Corcoran, R Zamora-Resendiz, X Liu, S Crivelli | | |
| OpeNNdd–Open Neural Networks for Drug Discovery BM Samudio, S Shacterman, B Kroencke, N Pavini, S Crivelli, ... | | |
Silvia CrivelliLawrence Berkeley Lab, UC Davis在 lbl.gov 的电子邮件经过验证
