| Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms T Schaffter, DSM Buist, CI Lee, Y Nikulin, D Ribli, Y Guan, W Lotter, Z Jie, ... JAMA network open 3 (3), e200265-e200265, 2020 | 399 | 2020 |
| Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen MP Menden, D Wang, MJ Mason, B Szalai, KC Bulusu, Y Guan, T Yu, ... Nature communications 10 (1), 2674, 2019 | 325 | 2019 |
| Intratumoral heterogeneity and clonal evolution in liver cancer B Losic, AJ Craig, C Villacorta-Martin, SN Martins-Filho, N Akers, X Chen, ... Nature communications 11 (1), 291, 2020 | 311 | 2020 |
| Assessment of network module identification across complex diseases S Choobdar, ME Ahsen, J Crawford, M Tomasoni, T Fang, D Lamparter, ... Nature methods 16 (9), 843-852, 2019 | 294 | 2019 |
| exRNA atlas analysis reveals distinct extracellular RNA cargo types and their carriers present across human biofluids OD Murillo, W Thistlethwaite, J Rozowsky, SL Subramanian, R Lucero, ... Cell 177 (2), 463-477. e15, 2019 | 290 | 2019 |
| Integrated nanoscale deterministic lateral displacement arrays for separation of extracellular vesicles from clinically-relevant volumes of biological samples JT Smith, BH Wunsch, N Dogra, ME Ahsen, K Lee, KK Yadav, R Weil, ... Lab on a Chip 18 (24), 3913-3925, 2018 | 180 | 2018 |
| Radiogenomics consortium genome-wide association study meta-analysis of late toxicity after prostate cancer radiotherapy SL Kerns, L Fachal, L Dorling, GC Barnett, A Baran, DR Peterson, ... JNCI: Journal of the National Cancer Institute 112 (2), 179-190, 2020 | 99 | 2020 |
| When algorithmic predictions use human-generated data: A bias-aware classification algorithm for breast cancer diagnosis ME Ahsen, MUS Ayvaci, S Raghunathan Information Systems Research 30 (1), 97-116, 2019 | 97 | 2019 |
| A nasal brush-based classifier of asthma identified by machine learning analysis of nasal RNA sequence data G Pandey, OP Pandey, AJ Rogers, ME Ahsen, GE Hoffman, BA Raby, ... Scientific reports 8 (1), 8826, 2018 | 72 | 2018 |
| Effect of ai explanations on human perceptions of patient-facing ai-powered healthcare systems Z Zhang, Y Genc, D Wang, ME Ahsen, X Fan Journal of Medical Systems 45 (6), 64, 2021 | 66 | 2021 |
| Unannotated small RNA clusters associated with circulating extracellular vesicles detect early stage liver cancer J Von Felden, T Garcia-Lezana, N Dogra, E Gonzalez-Kozlova, ME Ahsen, ... Gut 71 (10), 2069-2080, 2022 | 50 | 2022 |
| The societal impact of sharing economy platform self-regulations—An empirical investigation W Han, X Wang, ME Ahsen, S Wattal Information systems research 33 (4), 1303-1323, 2022 | 45 | 2022 |
| A cancer pharmacogenomic screen powering crowd-sourced advancement of drug combination prediction MP Menden, D Wang, Y Guan, M Mason, B Szalai, KC Bulusu, T Yu, ... bioRxiv, 2017 | 39* | 2017 |
| External validation of an ensemble model for automated mammography interpretation by artificial intelligence W Hsu, DS Hippe, N Nakhaei, PC Wang, B Zhu, N Siu, ME Ahsen, ... JAMA network open 5 (11), e2242343-e2242343, 2022 | 35 | 2022 |
| Sparse feature selection for classification and prediction of metastasis in endometrial cancer ME Ahsen, TP Boren, NK Singh, B Misganaw, JS Lea, DS Miller, ... Proceedings of the 7th ACM International Conference on Bioinformatics …, 2016 | 31 | 2016 |
| A community challenge to evaluate RNA-seq, fusion detection, and isoform quantification methods for cancer discovery A Creason, D Haan, K Dang, KE Chiotti, M Inkman, A Lamb, T Yu, Y Hu, ... Cell systems 12 (8), 827-838. e5, 2021 | 30 | 2021 |
| Error bounds for compressed sensing algorithms with group sparsity: A unified approach ME Ahsen, M Vidyasagar Applied and Computational Harmonic Analysis 43 (2), 212-232, 2017 | 29 | 2017 |
| Open community challenge reveals molecular network modules with key roles in diseases S Choobdar, ME Ahsen, J Crawford, M Tomasoni, T Fang, D Lamparter, ... bioRxiv, 265553, 2018 | 28 | 2018 |
| Opportunistic wireless charging for mobile social and sensor networks E Bulut, ME Ahsen, BK Szymanski 2014 IEEE Globecom Workshops (GC Wkshps), 207-212, 2014 | 28 | 2014 |
| The transcriptomic response of cells to a drug combination is more than the sum of the responses to the monotherapies JEL Diaz, ME Ahsen, T Schaffter, X Chen, RB Realubit, C Karan, ... Elife 9, e52707, 2020 | 26 | 2020 |
Gustavo StolovitzkyDirector, Biomed Data Sciences Hub, NYU Langone Health; Prof. Pathology Dep, NYU School of MedicineVerified email at nyulangone.org
