| BrainLM: A foundation model for brain activity recordings JO Caro, AHO Fonseca, C Averill, SA Rizvi, M Rosati, JL Cross, P Mittal, ... bioRxiv, 2023.09. 12.557460, 2023 | 38* | 2023 |
| Cell2Sentence: teaching large language models the language of biology D Levine, SA Rizvi, S Lévy, N Pallikkavaliyaveetil, D Zhang, X Chen, ... BioRxiv, 2023.09. 11.557287, 2024 | 19* | 2024 |
| Local contrastive learning for medical image recognition SA Rizvi, R Tang, X Jiang, X Ma, X Hu AMIA Annual Symposium Proceedings 2023, 1236, 2024 | 9 | 2024 |
| Segmentation of diagnostic tissue compartments on whole slide images with renal thrombotic microangiopathies (TMAs) HQ Vo, PA Cicalese, S Seshan, SA Rizvi, A Vathul, G Bueno, AP Dorado, ... arXiv preprint arXiv:2311.14971, 2023 | 3 | 2023 |
| Deep learning-derived optimal aviation strategies to control pandemics S Rizvi, A Awasthi, MJ Peláez, Z Wang, V Cristini, H Van Nguyen, ... Scientific reports 14 (1), 22926, 2024 | 2 | 2024 |
| Ampnet: Attention as message passing for graph neural networks SA Rizvi, N Nguyen, H Lyu, BW Christensen, JO Caro, E Zappala, ... | 2 | 2022 |
| Intelligence at the Edge of Chaos S Zhang, A Patel, SA Rizvi, N Liu, S He, A Karbasi, E Zappala, D van Dijk arXiv preprint arXiv:2410.02536, 2024 | 1 | 2024 |
| Operator learning meets numerical analysis: Improving neural networks through iterative methods E Zappala, D Levine, S He, S Rizvi, S Levy, D van Dijk arXiv preprint arXiv:2310.01618, 2023 | 1 | 2023 |
| Histopathology datasetgan: synthesizing large-resolution histopathology datasets S Rizvi, P Cicalese, S Seshan, S Sciascia, J Becke, H Nguyen 2022 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 1-4, 2022 | 1 | 2022 |
| MorphSet: Improving Renal Histopathology Case Assessment Through Learned Prognostic Vectors PA Cicalese, SA Rizvi, V Wang, S Patibandla, P Yuan, S Zare, K Moos, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 1 | 2021 |
| Non-Markovian Discrete Diffusion with Causal Language Models Y Zhang, S He, D Levine, L Zhao, D Zhang, SA Rizvi, E Zappala, R Ying, ... arXiv preprint arXiv:2502.09767, 2025 | | 2025 |
| HEART: Learning better representation of EHR data with a heterogeneous relation-aware transformer T Huang, SA Rizvi, RK Thakur, V Socrates, M Gupta, D van Dijk, ... Journal of Biomedical Informatics 159, 104741, 2024 | | 2024 |
| CaLMFlow: Volterra Flow Matching using Causal Language Models S He, D Levine, I Vrkic, MF Bressana, D Zhang, SA Rizvi, Y Zhang, ... arXiv preprint arXiv:2410.05292, 2024 | | 2024 |
| # 6891 MACHINE LEARNING NEPHROPATHOLOGY DIAGNOSTICS OF THROMBOTIC MICROANGIOPATHIES PA Cicalese, S Rizvi, SV Seshan, S Sciascia, D Roccatello, A Barreca, ... Nephrology Dialysis Transplantation 38 (Supplement_1), gfad063c_6891, 2023 | | 2023 |
| FIMP: Foundation Model-Informed Message Passing for Graph Neural Networks SA Rizvi, N Pallikkavaliyaveetil, D Zhang, Z Lyu, N Nguyen, H Lyu, ... arXiv preprint arXiv:2210.09475, 2022 | | 2022 |
| MORPHSET: DIAGNOSING ANTIBODY-MEDIATED REJECTION THROUGH LEARNED DIAGNOSTIC VECTORS JU Becker, S Rizvi, C Mohan, HV Nguyen, PA Cicalese TRANSPLANT INTERNATIONAL 34, 25-25, 2021 | | 2021 |
| MO078 DEEP LEARNING DIAGNOSIS OF ANTIBODY-MEDIATED REJECTION (AMR) ON GLOMERULAR TRANSECTIONS PA Cicalese, SA Rizvi, C Roufosse, I Batal, M Hellmich, A Ernst, K Moos, ... Nephrology Dialysis Transplantation 36 (Supplement_1), gfab078. 0014, 2021 | | 2021 |
| Parameter Efficient Graph Encoding for Large Language Models B Perozzi, B Fatemi, D Zelle, SA Rizvi, A Tsitsulin, S Abu-El-Haija, ... | | |
| Basics of Graph Neural Networks SA Rizvi | | |
David van DijkAssistant Professor, Yale UniversityDirección de correo verificada de yale.edu
