Παρακολούθηση
Daisy Yi Ding
Daisy Yi Ding
PhD Student, Stanford University
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα stanford.edu
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Chexnet: Radiologist-level pneumonia detection on chest x-rays with deep learning
P Rajpurkar, J Irvin, K Zhu, B Yang, H Mehta, T Duan, D Ding, A Bagul, ...
arXiv preprint arXiv:1711.05225, 2017
35542017
Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists
P Rajpurkar, J Irvin, RL Ball, K Zhu, B Yang, H Mehta, T Duan, D Ding, ...
PLOS Medicine 15 (11), e1002686, 2018
13062018
NGBoost: Natural Gradient Boosting for Probabilistic Prediction
T Duan, A Avati, DY Ding, S Basu, AY Ng, A Schuler
International Conference on Machine Learning (ICML 2020), 2020
4612020
MURA: Large Dataset for Abnormality Detection in Musculoskeletal Radiographs
P Rajpurkar, J Irvin, A Bagul, D Ding, T Duan, H Mehta, B Yang, K Zhu, ...
International Conference on Medical Imaging with Deep Learning (MIDL 2018), 2018
3822018
Handling missing data with graph representation learning
J You, X Ma, Y Ding, MJ Kochenderfer, J Leskovec
Advances in Neural Information Processing Systems (NeurIPS 2020), 2020
2172020
Learning to Summarize Radiology Findings
Y Zhang, DY Ding, T Qian, CD Manning, CP Langlotz
EMNLP 2018 Workshop on Health Text Mining and Information Analysis (EMNLP …, 2018
1682018
Can large language models provide useful feedback on research papers? A large-scale empirical analysis
W Liang, Y Zhang, H Cao, B Wang, DY Ding, X Yang, K Vodrahalli, S He, ...
NEJM AI, 2024
1112024
Counterfactual Reasoning for Fair Clinical Risk Prediction
S Pfohl, T Duan, DY Ding, NH Shah
Machine Learning for Healthcare (MLHC 2019), 2019
792019
Cooperative learning for multiview analysis
DY Ding, S Li, B Narasimhan, R Tibshirani
Proceedings of the National Academy of Sciences 119 (38), 2022
562022
Molecular classification and biomarkers of clinical outcome in breast ductal carcinoma in situ: Analysis of TBCRC 038 and RAHBT cohorts
SH Strand, B Rivero-Gutiérrez, KE Houlahan, JA Seoane, LM King, ...
Cancer Cell, 2022
522022
The Effectiveness of Multitask Learning for Phenotyping with Electronic Health Records Data
DY Ding, C Simpson, S Pfohl, DC Kale, K Jung, NH Shah
Pacific Symposium on Biocomputing (PSB 2019), 2018
322018
Missingness as Stability: Understanding the Structure of Missingness in Longitudinal EHR data and its Impact on Reinforcement Learning in Healthcare
SL Fleming, K Jeyapragasan, T Duan, D Ding, S Gombar, N Shah, ...
NeurIPS 2019 Workshop on Machine Learning for Health (NeurIPS-ML4H 2019), 2019
72019
Machine Learning-guided Lipid Nanoparticle Design for mRNA Delivery
DY Ding, Y Zhang, Y Jia, J Sun
ICML CompBio Workshop, 2023
62023
Multimodal data fusion using sparse canonical correlation analysis and cooperative learning: a COVID-19 cohort study
AG Er, DY Ding, B Er, M Uzun, M Cakmak, C Sadee, G Durhan, ...
npj Digital Medicine 7 (1), 117, 2024
32024
Semi-supervised Cooperative Learning for Multiomics Data Fusion
DY Ding, X Shen, M Snyder, R Tibshirani
ICML Workshop on Machine Learning for Multimodal Healthcare Data, 54-63, 2023
12023
Temporal and spatial composition of the tumor microenvironment predicts response to immune checkpoint inhibition
NF Greenwald, I Nederlof, C Sowers, D Ding, S Park, A Kong, K Houlahan, ...
bioRxiv, 2025.01. 26.634557, 2025
2025
CoCA: Cooperative Component Analysis
DY Ding, A Green, MW Sun, R Tibshirani
arXiv preprint arXiv:2407.16870, 2024
2024
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Άρθρα 1–17