关注
Weicheng Zhu
Weicheng Zhu
其他姓名Jack Zhu
Center for Data Science, New York University
在 nyu.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
682022
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
382022
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
272021
Graph Neural Network on Electronic Health Records for Predicting Alzheimer's Disease
W Zhu, N Razavian
arXiv preprint arXiv:1912.03761, 2019
142019
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
132021
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
112023
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
32022
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
32021
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
32019
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
12021
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
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