Predicting cancer outcomes from histology and genomics using convolutional networks P Mobadersany, S Yousefi, M Amgad, DA Gutman, JS Barnholtz-Sloan, ... Proceedings of the National Academy of Sciences 115 (13), E2970-E2979, 2018 | 897 | 2018 |
Predicting clinical outcomes from large scale cancer genomic profiles with deep survival models S Yousefi, F Amrollahi, M Amgad, C Dong, JE Lewis, C Song, DA Gutman, ... Nature Scientific reports 7 (1), 11707, 2017 | 227 | 2017 |
Multimodal data fusion for systems improvement: A review N Gaw, S Yousefi, MR Gahrooei Handbook of Scholarly Publications from the Air Force Institute of …, 2022 | 45 | 2022 |
Multi-faceted computational assessment of risk and progression in oligodendroglioma implicates NOTCH and PI3K pathways SH Halani, S Yousefi, JV Vega, MR Rossi, Z Zhao, F Amrollahi, CA Holder, ... Nature Precision Oncology 2 (1), 24, 2018 | 36 | 2018 |
Transfer Learning From Nucleus Detection To Classification In Histopathology Images S Yousefi, Y Nie Proceedings of The IEEE International Symposium on Biomedical Imaging (ISBI), 2019 | 20 | 2019 |
Learning Genomic Representations to Predict Clinical Outcomes in Cancer S Yousefi, C Song, N Nauata, L Cooper International Conference on Learning Representations (ICLR), 2016 | 14 | 2016 |
A continuous-time mutually-exciting point process framework for prioritizing events in social media M Farajtabar, S Yousefi, LQ Tran, L Song, H Zha arXiv preprint arXiv:1511.04145, 2015 | 11 | 2015 |
Systems and methods for identifying cell clusters within images of stained biological samples Y Nie, S Yousefi US Patent 11,922,681, 2024 | 6 | 2024 |
Streaming active learning with deep neural networks A Saran, S Yousefi, A Krishnamurthy, J Langford, JT Ash International Conference on Machine Learning, 30005-30021, 2023 | 6 | 2023 |
From local similarities to global coding: A framework for coding applications A Shaban, HR Rabiee, M Najibi, S Yousefi IEEE Transactions on Image Processing 24 (12), 5074-5085, 2015 | 5 | 2015 |
In-Context Learning in Large Language Models: A Neuroscience-inspired Analysis of Representations S Yousefi, L Betthauser, H Hasanbeig, A Saran, R Millière, I Momennejad arXiv preprint arXiv:2310.00313, 2023 | 2 | 2023 |
Detecting elevated air pollution levels by monitoring web search queries: Algorithm development and validation C Lin, S Yousefi, E Kahoro, P Karisani, D Liang, J Sarnat, E Agichtein JMIR Formative Research 6 (12), e23422, 2022 | 2* | 2022 |
Learning clinical outcomes from heterogeneous genomic data sources S Yousefi, A Shaban, M Amgad, R Chandradevan, LAD Cooper arXiv preprint arXiv:1904.01637, 2019 | 1 | 2019 |
Markers of progression in oligodendroglioma JEV Vega, SH Halani, S Yousefi, F Amrollahi, CA Holder, LM Poisson, ... MODERN PATHOLOGY 30, 438A-438A, 2017 | 1 | 2017 |
Systems and methods for cell classification Y Nie, S Yousefi US Patent App. 18/423,572, 2024 | | 2024 |
Multimodal Deep Learning A Shaban, S Yousefi Multimodal and Tensor Data Analytics for Industrial Systems Improvement, 209-219, 2024 | | 2024 |
Decoding In-Context Learning: Neuroscience-inspired Analysis of Representations in Large Language Models S Yousefi, L Betthauser, H Hasanbeig, R Millière, I Momennejad | | 2023 |
Development and Validation of a Crowd-Generated Indicator of Air Pollution Exposures and Health Response using Web Search Log Mining. Z Li, D Liang, C Lin, E Kahoro, S Yousefi, E Agichtein, JA Sarnat ISEE Conference Abstracts 2020 (1), 2020 | | 2020 |
PATH-33. MARKERS AND MECHANISMS OF DISEASE PROGRESSION IN IDH-MUTANT ASTROCYTOMAS SH Halani, S Yousefi, JEV Vega, A Baxter-Stoltzfus, JJ Olson, L Cooper, ... Neuro-Oncology 19 (Suppl 6), vi178, 2017 | | 2017 |
225 Markers and Mechanisms of Disease Progression in IDH-Mutant Astrocytomas SH Halani, S Yousefi, A Baxter-Stoltzfus, M Amgad, JEV Vega, JJ Olson, ... Neurosurgery 64 (CN_suppl_1), 261-262, 2017 | | 2017 |