| Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines SC Huang, A Pareek, S Seyyedi, I Banerjee, MP Lungren Nature Digital Medicine 3 (1), 1-9, 2020 | 391 | 2020 |
| AI recognition of patient race in medical imaging: a modelling study JW Gichoya, I Banerjee, AR Bhimireddy, JL Burns, LA Celi, LC Chen, ... The Lancet Digital Health 4 (6), e406-e414, 2022 | 259 | 2022 |
| GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-Efficient Medical Image Recognition SC Huang, L Shen, MP Lungren, S Yeung Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 189 | 2021 |
| Multimodal fusion with deep neural networks for leveraging CT imaging and electronic health record: a case-study in pulmonary embolism detection SC Huang, A Pareek, R Zamanian, I Banerjee, MP Lungren Nature Scientific Reports 10 (1), 1-9, 2020 | 140 | 2020 |
| Ten simple rules for writing and sharing computational analyses in Jupyter Notebooks A Rule, A Birmingham, C Zuniga, I Altintas, SC Huang, R Knight, ... PLoS computational biology 15 (7), e1007007, 2019 | 132 | 2019 |
| PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging SC Huang, T Kothari, I Banerjee, C Chute, RL Ball, N Borus, A Huang, ... Nature Digital Medicine 3 (1), 1-9, 2020 | 116* | 2020 |
| The RSNA pulmonary embolism CT dataset E Colak, FC Kitamura, SB Hobbs, CC Wu, MP Lungren, LM Prevedello, ... Radiology: Artificial Intelligence 3 (2), e200254, 2021 | 76 | 2021 |
| Self-supervised learning for medical image classification: a systematic review and implementation guidelines SC Huang, A Pareek, M Jensen, MP Lungren, S Yeung, AS Chaudhari Nature Digital Medicine 6 (1), 74, 2023 | 75 | 2023 |
| Reading race: AI recognises patient's racial identity in medical images I Banerjee, AR Bhimireddy, JL Burns, LA Celi, LC Chen, R Correa, ... arXiv preprint arXiv:2107.10356, 2021 | 75 | 2021 |
| Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials A Esteva, J Feng, D van der Wal, SC Huang, JP Simko, S DeVries, ... Nature Digital Medicine, 2022 | 51 | 2022 |
| Label-efficient self-supervised federated learning for tackling data heterogeneity in medical imaging R Yan, L Qu, Q Wei, SC Huang, L Shen, D Rubin, L Xing, Y Zhou IEEE Transactions on Medical Imaging, 2023 | 48 | 2023 |
| RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR Y Zhou, SC Huang, JA Fries, A Youssef, TJ Amrhein, M Chang, I Banerjee, ... arXiv preprint arXiv:2111.11665, 2021 | 28 | 2021 |
| Diagnosing and rectifying vision models using language Y Zhang, JZ HaoChen, SC Huang, KC Wang, J Zou, S Yeung The Eleventh International Conference on Learning Representations. 2022., 2023 | 27 | 2023 |
| Ten simple rules for reproducible research in Jupyter notebooks A Rule, A Birmingham, C Zuniga, I Altintas, SC Huang, R Knight, ... arXiv preprint arXiv:1810.08055, 2018 | 26 | 2018 |
| Automatic lung nodule segmentation and intra-nodular heterogeneity image generation J Song, SC Huang, B Kelly, G Liao, J Shi, N Wu, W Li, Z Liu, L Cui, ... IEEE Journal of Biomedical and Health Informatics, 2021 | 18 | 2021 |
| An AI-derived digital pathology-based biomarker to predict the benefit of androgen deprivation therapy in localized prostate cancer with validation in NRG/RTOG 9408. DE Spratt, Y Sun, D Van der Wal, SC Huang, O Mohamad, AJ Armstrong, ... Journal of Clinical Oncology 40 (6_suppl), 223-223, 2022 | 12 | 2022 |
| Developing medical imaging AI for emerging infectious diseases SC Huang, AS Chaudhari, CP Langlotz, N Shah, S Yeung, MP Lungren Nature Communications 13 (1), 1-6, 2022 | 10 | 2022 |
| BenchMD: A Benchmark for Modality-Agnostic Learning on Medical Images and Sensors K Wantlin, C Wu, SC Huang, O Banerjee, F Dadabhoy, VV Mehta, ... arXiv preprint arXiv:2304.08486, 2023 | 7 | 2023 |
| LOVM: Language-only vision model selection O Zohar, SC Huang, KC Wang, S Yeung Advances in Neural Information Processing Systems 36, 2024 | 6 | 2024 |
| Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image Segmentation Y Zhang, SC Huang, Z Zhou, MP Lungren, S Yeung Machine Learning for Health, 391-404, 2022 | 6 | 2022 |
Matthew LungrenChief Data Science Officer Microsoft HLS, Associate Professor UCSF, Adjunct Professor StanfordVerified email at stanford.edu
