| Deep learning applications in single-cell genomics and transcriptomics data analysis N Erfanian, AA Heydari, AM Feriz, P Iañez, A Derakhshani, M Ghasemigol, ... Biomedicine & Pharmacotherapy 165, 115077, 2023 | 156 | 2023 |
| Softadapt: Techniques for adaptive loss weighting of neural networks with multi-part loss functions AA Heydari, CA Thompson, A Mehmood arXiv preprint arXiv:1912.12355, 2019 | 131 | 2019 |
| Deep learning in spatial transcriptomics: Learning from the next next-generation sequencing AA Heydari, SS Sindi Biophysics Reviews 4 (1), 2023 | 43 | 2023 |
| ACTIVA: realistic single-cell RNA-seq generation with automatic cell-type identification using introspective variational autoencoders AA Heydari, OA Davalos, L Zhao, KK Hoyer, SS Sindi Bioinformatics 38 (8), 2194-2201, 2022 | 34 | 2022 |
| Regulation of CTLA-4 and PD-L1 expression in relapsing-remitting multiple sclerosis patients after treatment with fingolimod, IFNβ-1α, glatiramer acetate, and dimethyl fumarate … A Derakhshani, Z Asadzadeh, H Safarpour, P Leone, MA Shadbad, ... Journal of Personalized Medicine 11 (8), 721, 2021 | 30 | 2021 |
| SensorLM: Learning the Language of Wearable Sensors Y Zhang, K Ayush, S Qiao, AA Heydari, G Narayanswamy, MA Xu, ... arXiv preprint arXiv:2506.09108, 2025 | 18 | 2025 |
| SRVAE: super resolution using variational autoencoders AA Heydari, A Mehmood Pattern Recognition and Tracking XXXI 11400, 87-100, 2020 | 17 | 2020 |
| LSM-2: Learning from Incomplete Wearable Sensor Data MA Xu, G Narayanswamy, K Ayush, D Spathis, S Liao, SA Tailor, ... arXiv preprint arXiv:2506.05321, 2025 | 12 | 2025 |
| A Scalable Framework for Evaluating Health Language Models N Mallinar, AA Heydari, X Liu, AZ Faranesh, B Winslow, N Hammerquist, ... arXiv preprint arXiv:2503.23339, 2025 | 8 | 2025 |
| Conservative finite volume method on deforming geometries: The case of protein aggregation in dividing yeast cells AA Heydari, SS Sindi, M Theillard Journal of Computational Physics 448, 110755, 2022 | 7 | 2022 |
| The anatomy of a personal health agent AA Heydari, K Gu, V Srinivas, H Yu, Z Zhang, Y Zhang, A Paruchuri, Q He, ... arXiv preprint arXiv:2508.20148, 2025 | 6 | 2025 |
| Towards a science of scaling agent systems Y Kim, K Gu, C Park, C Park, S Schmidgall, AA Heydari, Y Yan, Z Zhang, ... arXiv preprint arXiv:2512.08296, 2025 | 5 | 2025 |
| Insulin resistance prediction from wearables and routine blood biomarkers AA Metwally, AA Heydari, D McDuff, A Solot, Z Esmaeilpour, AZ Faranesh, ... arXiv preprint arXiv:2505.03784, 2025 | 5 | 2025 |
| Boosting single-cell rna sequencing analysis with simple neural attention OA Davalos, AA Heydari, EJ Fertig, SS Sindi, KK Hoyer bioRxiv, 2023 | 3 | 2023 |
| N-ACT: An interpretable deep learning model for automatic cell type and salient gene identification AA Heydari, OA Davalos, KK Hoyer, SS Sindi arXiv preprint arXiv:2206.04047, 2022 | 2 | 2022 |
| RADAR: Benchmarking Language Models on Imperfect Tabular Data K Gu, Z Zhang, K Lin, Y Zhang, A Paruchuri, H Yu, M Kazemi, K Ayush, ... arXiv preprint arXiv:2506.08249, 2025 | 1 | 2025 |
| Lifestyle-Informed Personalized Blood Biomarker Prediction via Novel Representation Learning AA Heydari, N Rezaei, JL Prieto, SN Patel, AA Metwally https://openreview.net/forum?id=59VyW7RBSC, 2024 | 1 | 2024 |
| Novel Representation Learning Improves Personalizing Blood Test Ranges and Disease Risk Prediction AA Heydari, J Prieto, S Patel, N Rezaei | 1 | 2023 |
| R: Benchmarking Language Models on Imperfect Tabular Data K Gu, Z Zhang, K Lin, Y Zhang, A Paruchuri, H Yu, M Kazemi, K Ayush, ... | | 2025 |
| Lifestyle informed personalized blood tests ranges and risk assessment AA Heydari, N Rezaei, JL Preito WO Patent WO2024059185A1, 2024 | | 2024 |
Shwetak PatelUniversity of Washington, Washington Research Foundation Endowed Professor, Computer ScienceVerified email at cs.washington.edu
