| Towards robust and reproducible active learning using neural networks P Munjal, N Hayat, M Hayat, J Sourati, S Khan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 57 | 2022 |
| Synthesizing the unseen for zero-shot object detection N Hayat, M Hayat, S Rahman, S Khan, SW Zamir, FS Khan Proceedings of the Asian conference on computer vision, 2020 | 55 | 2020 |
| Multi-label generalized zero shot learning for the classification of disease in chest radiographs N Hayat, H Lashen, FE Shamout Machine learning for healthcare conference, 461-477, 2021 | 17 | 2021 |
| MedFuse: Multi-modal fusion with clinical time-series data and chest X-ray images N Hayat, KJ Geras, FE Shamout Machine Learning for Healthcare Conference, 479-503, 2022 | 14 | 2022 |
| Med42-a clinical large language model C Christophe, A Gupta, N Hayat, P Kanithi, A Al-Mahrooqi, P Munjal, ... M42, 2023 | 5 | 2023 |
| Clinical prediction system of complications among patients with COVID-19: A development and validation retrospective multicentre study during first wave of the pandemic GO Ghosheh, B Alamad, KW Yang, F Syed, N Hayat, I Iqbal, F Al Kindi, ... Intelligence-based medicine 6, 100065, 2022 | 3 | 2022 |
| Towards dynamic multi-modal phenotyping using chest radiographs and physiological data N Hayat, KJ Geras, FE Shamout arXiv preprint arXiv:2111.02710, 2021 | 3 | 2021 |
| Med42--Evaluating Fine-Tuning Strategies for Medical LLMs: Full-Parameter vs. Parameter-Efficient Approaches C Christophe, PK Kanithi, P Munjal, T Raha, N Hayat, R Rajan, ... arXiv preprint arXiv:2404.14779, 2024 | | 2024 |
| Development and validation of a parsimonious prediction model for positive urine cultures in outpatient visits GO Ghosheh, TL St John, P Wang, VN Ling, LR Orquiola, N Hayat, ... PLOS Digital Health 2 (11), e0000306, 2023 | | 2023 |
| 10 Development and evaluation of a machine learning model to predict positive urine cultures in the outpatient setting and minimize the use of antibiotics FE Shamout, P Wang, N Hayat, VN Ling, TL St John, G Ghosheh, ... BMJ Health & Care Informatics 29 (Suppl 1), 2022 | | 2022 |
| Clinical prediction system of complications among COVID-19 patients: a development and validation retrospective multicentre study GO Ghosheh, B Alamad, KW Yang, F Syed, N Hayat, I Iqbal, FA Kindi, ... arXiv preprint arXiv:2012.01138, 2020 | | 2020 |
Farah ShamoutNYU Clinical AI LabVerified email at nyu.edu
