| A discrete parasubthalamic nucleus subpopulation plays a critical role in appetite suppression JH Kim, GH Kromm, OK Barnhill, J Sperber, LB Heuer, S Loomis, ... Elife 11, e75470, 2022 | 20 | 2022 |
| Proteomic characterization of acute kidney injury in patients hospitalized with SARS-CoV2 infection I Paranjpe, P Jayaraman, CY Su, S Zhou, S Chen, R Thompson, ... Communications Medicine 3 (1), 81, 2023 | 13 | 2023 |
| The genetic architecture and evolution of the human skeletal form E Kun, EM Javan, O Smith, F Gulamali, J de la Fuente, BI Flynn, K Vajrala, ... Science 381 (6655), eadf8009, 2023 | 11* | 2023 |
| Federated learning in risk prediction: a primer and application to COVID-19-associated acute kidney injury FF Gulamali, GN Nadkarni Nephron 147 (1), 52-56, 2023 | 6 | 2023 |
| Deploying deep learning models on unseen medical imaging using adversarial domain adaptation AA Valliani, FF Gulamali, YJ Kwon, ML Martini, C Wang, D Kondziolka, ... Plos one 17 (10), e0273262, 2022 | 6 | 2022 |
| Machine learning for risk stratification in kidney disease FF Gulamali, AS Sawant, GN Nadkarni Current opinion in nephrology and hypertension 31 (6), 548-552, 2022 | 5 | 2022 |
| Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction T Wanyan, M Lin, E Klang, KM Menon, FF Gulamali, A Azad, Y Zhang, ... Proceedings of the 13th ACM International Conference on Bioinformatics …, 2022 | 5 | 2022 |
| Joint Modeling of Clinical and Biomarker Data in Acute Kidney Injury Defines Unique Subphenotypes with Differing Outcomes G Vasquez-Rios, W Oh, S Lee, P Bhatraju, SG Mansour, DG Moledina, ... Clinical Journal of the American Society of Nephrology 18 (6), 716-726, 2023 | 4 | 2023 |
| AlphaFold algorithm predicts COVID-19 protein structures F Gulamali InfoQ 2 (4), 5-8, 2020 | 4 | 2020 |
| Cannabis use and ckd: Epidemiological associations and mendelian randomization S Dellepiane, I Paranjpe, M Rajagopal, S Kamat, R O’Hagan, F Gulamali, ... Kidney Medicine 5 (2), 100582, 2023 | 3 | 2023 |
| Autoencoders for sample size estimation for fully connected neural network classifiers FF Gulamali, AS Sawant, P Kovatch, B Glicksberg, A Charney, ... NPJ Digital Medicine 5 (1), 180, 2022 | 3 | 2022 |
| Genome-wide epistatic interaction between DEF1B and APOL1 high-risk genotypes for chronic kidney disease HMT Vy, BM Lin, FF Gulamali, C Kooperberg, M Graff, J Wong, ... Clinical Journal of the American Society of Nephrology 17 (10), 1522-1525, 2022 | 2 | 2022 |
| Clinically Relevant Unsupervised Online Representation Learning of ICU Waveforms FF Gulamali, AS Sawant, I Hofer, M Levin, K Singh, BS Glicksberg, ... ICLR 2023 Workshop on Time Series Representation Learning for Health, 2023 | 1 | 2023 |
| Abstract No. 589 Mesenteric Varix to IVC: Creating Mesocaval Shunts in Patients with Chronic Portomesenteric Thrombosis F Gulamali, I Sinha, D Goldman, F Nowakowski, R Lookstein, R Patel Journal of Vascular and Interventional Radiology 35 (3), S218, 2024 | | 2024 |
| Derivation, External Validation and Clinical Implications of a deep learning approach for intracranial pressure estimation using non-cranial waveform measurements F Gulamali, P Jayaraman, AS Sawant, J Desman, B Fox, A Chang, ... medRxiv, 2024 | | 2024 |
| Derivation and Validation of a Machine Learning Approach to Detect and Mitigate Biases in Healthcare Data FF Gulamali, AS Sawant, L Liharska, CR Horowitz, L Chan, PH Kovatch, ... medRxiv, 2023.11. 06.23298164, 2023 | | 2023 |
| Peripheral Transcriptomics in Acute and Long-Term Kidney Dysfunction in SARS-CoV2 Infection P Jayaraman, M Rajagopal, I Paranjpe, L Liharska, M Suarez-Farinas, ... medRxiv, 2023 | | 2023 |
| Aging and Environmental Associated Changes of Facial Soft Tissues are Detectable on Clinical High Resolution MRI Scans A Katz, F Gulamali, J Rutland, B Delman, P Taub Plastic and Reconstructive Surgery–Global Open 11 (10S), 41, 2023 | | 2023 |
| Deep learning on electronic medical records identifies distinct subphenotypes of diabetic kidney disease driven by genetic variations in the Rho pathway I Paranjpe, X Wang, N Anandakrishnan, J Haydak, TT Van Vleck, ... medRxiv, 2023.09. 06.23295120, 2023 | | 2023 |
| Online Unsupervised Representation Learning of Waveforms in the Intensive Care Unit via a novel cooperative framework: Spatially Resolved Temporal Networks (SpaRTEn) F Gulamali, A Sawant, I Hofer, M Levin, A Charney, K Singh, B Glicksberg, ... Machine Learning for Healthcare 219 (1-22), 2023 | | 2023 |
Girish NadkarniIcahn School of Medicine at Mount Sinai在 mountsinai.org 的电子邮件经过验证
