| How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals E Wu, K Wu, R Daneshjou, D Ouyang, DE Ho, J Zou Nature Medicine 27 (4), 582-584, 2021 | 310 | 2021 |
| Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach W Lotter, AR Diab, B Haslam, JG Kim, G Grisot, E Wu, K Wu, JO Onieva, ... Nature medicine 27 (2), 244-249, 2021 | 290 | 2021 |
| Conditional infilling GANs for data augmentation in mammogram classification E Wu, K Wu, D Cox, W Lotter MICCAI 2018, Breast Image Analysis Workshop, 98-106, 2018 | 171 | 2018 |
| GPT detectors are biased against non-native English writers W Liang, M Yuksekgonul, Y Mao, E Wu, J Zou Patterns 4 (7), 2023 | 143 | 2023 |
| From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment K Swanson, E Wu, A Zhang, AA Alizadeh, J Zou Cell, 2023 | 103 | 2023 |
| Graph deep learning for the characterization of tumour microenvironments from spatial protein profiles in tissue specimens Z Wu, AE Trevino, E Wu, K Swanson, HJ Kim, HB D’Angio, R Preska, ... Nature Biomedical Engineering 6 (12), 1435-1448, 2022 | 50 | 2022 |
| Learning scene gist with convolutional neural networks to improve object recognition K Wu, E Wu, G Kreiman 2018 52nd Annual Conference on Information Sciences and Systems (CISS), 1-6, 2018 | 28 | 2018 |
| Synthesizing lesions using contextual GANs improves breast cancer classification on mammograms E Wu, K Wu, W Lotter arXiv preprint arXiv:2006.00086, 2020 | 23 | 2020 |
| Leveraging physiology and artificial intelligence to deliver advancements in health care A Zhang, Z Wu, E Wu, M Wu, MP Snyder, J Zou, JC Wu Physiological Reviews 103 (4), 2423-2450, 2023 | 15 | 2023 |
| 7-UP: Generating in silico CODEX from a small set of immunofluorescence markers E Wu, AE Trevino, Z Wu, K Swanson, HJ Kim, HB D’Angio, R Preska, ... PNAS nexus 2 (6), pgad171, 2023 | 12 | 2023 |
| Datainf: Efficiently estimating data influence in lora-tuned llms and diffusion models Y Kwon, E Wu, K Wu, J Zou arXiv preprint arXiv:2310.00902, 2023 | 10 | 2023 |
| Characterizing the clinical adoption of medical AI devices through US insurance claims K Wu, E Wu, B Theodorou, W Liang, C Mack, L Glass, J Sun, J Zou NEJM AI 1 (1), AIoa2300030, 2023 | 9 | 2023 |
| Validation of a deep learning mammography model in a population with low screening rates K Wu, E Wu, Y Wu, H Tan, G Sorensen, M Wang, B Lotter NeurIPS 2019, Fair ML for Health Workshop, 2019 | 9 | 2019 |
| Machine learning prediction of clinical trial operational efficiency K Wu, E Wu, M DAndrea, N Chitale, M Lim, M Dabrowski, K Kantor, ... The AAPS Journal 24 (3), 57, 2022 | 8 | 2022 |
| How well do LLMs cite relevant medical references? An evaluation framework and analyses K Wu, E Wu, A Cassasola, A Zhang, K Wei, T Nguyen, S Riantawan, ... arXiv preprint arXiv:2402.02008, 2024 | 6 | 2024 |
| Explaining medical AI performance disparities across sites with confounder Shapley value analysis E Wu, K Wu, J Zou NeurIPS, Machine Learning for Health Workshop 2021, 2021 | 2 | 2021 |
| How faithful are RAG models? Quantifying the tug-of-war between RAG and LLMs' internal prior K Wu, E Wu, J Zou arXiv preprint arXiv:2404.10198, 2024 | | 2024 |
| Characterizing tissue structures from spatial omics with spatial cellular graph partition Z Wu, A Kondo, M McGrady, EAG Baker, E Wu, MK Rahim, NA Bracey, ... bioRxiv, 2023.09. 05.556133, 2023 | | 2023 |
| PEPSI: Polarity measurements from spatial proteomics imaging suggest immune cell engagement E Wu, Z Wu, AT Mayer, AE Trevino, J Zou PACIFIC SYMPOSIUM ON BIOCOMPUTING 2024, 492-505, 2023 | | 2023 |
Kevin Y WuGraduate Student, Stanford UniversityVerified email at stanford.edu
