| Adaptive early-learning correction for segmentation from noisy annotations S Liu, K Liu, W Zhu, Y Shen, C Fernandez-Granda Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 79 | 2022 |
| Generalizable deep learning model for early Alzheimer’s disease detection from structural MRIs S Liu, AV Masurkar, H Rusinek, J Chen, B Zhang, W Zhu, ... Scientific reports 12 (1), 17106, 2022 | 46 | 2022 |
| Variationally regularized graph-based representation learning for electronic health records W Zhu, N Razavian Proceedings of the Conference on Health, Inference, and Learning, 1-13, 2021 | 30 | 2021 |
| Deep probability estimation S Liu, A Kaku, W Zhu, M Leibovich, S Mohan, B Yu, H Huang, L Zanna, ... arXiv preprint arXiv:2111.10734, 2021 | 14 | 2021 |
| Graph Neural Network on Electronic Health Records for Predicting Alzheimer's Disease W Zhu, N Razavian arXiv preprint arXiv:1912.03761, 2019 | 14 | 2019 |
| Multiple instance learning via iterative self-paced supervised contrastive learning K Liu, W Zhu, Y Shen, S Liu, N Razavian, KJ Geras, C Fernandez-Granda Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 12 | 2023 |
| Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning W Zhu, C Fernandez-Granda, N Razavian arXiv preprint arXiv:2203.12204, 2022 | 3 | 2022 |
| Development of a Deep Learning Model for Early Alzheimer’s Disease Detection from Structural MRIs and External Validation on an Independent Cohort S Liu, AV Masurkar, H Rusinek, J Chen, B Zhang, W Zhu, ... medRxiv, 2021.05. 28.21257318, 2021 | 3 | 2021 |
| Mover‐stayer model with covariate effects on stayer's probability and mover's transitions H Frydman, A Matuszyk, C Li, W Zhu Applied Stochastic Models in Business and Industry 35 (5), 1171-1184, 2019 | 3 | 2019 |
| A new framework for examining creditworthiness of borrowers: the mover-stayer model with covariate and macroeconomic effects H Frydman, A Matuszyk, C Li, W Zhu Quantitative Finance 21 (9), 1491-1499, 2021 | 1 | 2021 |
| Making Self-supervised Learning Robust to Spurious Correlation via Learning-speed Aware Sampling W Zhu, S Liu, C Fernandez-Granda, N Razavian arXiv preprint arXiv:2311.16361, 2023 | | 2023 |
| Identification of patients at risk for pancreatic cancer in a 3-year timeframe based on machine learning algorithms W Zhu, Y Aphinyanaphongs, F Kastrinos, D Simeone, M Pochapin, ... medRxiv, 2023.08. 03.23293555, 2023 | | 2023 |
| MACHINE LEARNING ALGORITHM IDENTIFIES PATIENTS AT RISK FOR PANCREATIC CANCER IN A 3-YEAR TIMEFRAME W Zhu, MB Pochapin, Y Aphinyanaphongs, F Kastrinos, N Razavian, ... GASTROENTEROLOGY 162 (7), S188-S188, 2022 | | 2022 |
| Deep Probability Estimation W Zhu, M Leibovich, S Liu, S Mohan, A Kaku, B Yu, L Zanna, N Razavian, ... | | 2021 |
Narges RazavianNew York University Medical CenterVerified email at nyumc.org
