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Shih-Cheng Huang (Mars)
Shih-Cheng Huang (Mars)
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
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
4382020
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
2922022
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
2112021
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
1532020
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
1362019
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
129*2020
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
1042023
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
802021
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
752021
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
662022
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
612023
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
322023
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
302021
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
282018
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
232021
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
132022
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
112023
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
112022
LOVM: Language-only vision model selection
O Zohar, SC Huang, KC Wang, S Yeung
Advances in Neural Information Processing Systems 36, 2024
62024
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
62022
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