SH
Shih-Cheng Huang
cs.CVcs.LGeess.IVcs.AIcs.CLCardiovascular diseasescs.CYLung NeoplasmsRadiographyAlgorithms
On Valency
published · living versionsW_vu5dc8qp·v1 · currentpublished
EmbeddingGemma 2: Unified and Efficient Multimodal Representations
with Henrique Schechter Vera, Sahil Dua, Jovan Andonov, Sara Smoot +68
1 version
Preprints & journals
26 papers in the corpus · 2018–2025A Systematic Review and Implementation Guidelines of Multimodal Foundation Models in Medical Imaging.40343333 · Huang, Shih-Cheng, Jensen, Malte, Yeung-Levy, Serena et al.2025 · 14 citationsResearch square. 2025
A clinically accessible small multimodal radiology model and evaluation metric for chest X-ray findings.40169573 · Zambrano Chaves, Juan Manuel, Huang, Shih-Cheng, Xu, Yanbo et al.2025 · 44 citationsNature communications. 2025;16(1):3108
Multimodal Foundation Models for Medical Imaging - A Systematic Review and Implementation Guidelines10.1101/2024.10.23.24316003v1 · Huang, S.-C., Jensen, M. E. K., Yeung-Levy, S. et al.2024 · 13 citationsmedRxiv
CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats2405.19538v2 · Pierre Chambon, Jean-Benoit Delbrouck, Thomas Sounack et al.2024 · 8 citationsarXiv
INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis2311.10798v1 · Shih-Cheng Huang, Zepeng Huo, Ethan Steinberg et al.2023 · 9 citationsarXiv
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging.37018314 · Yan, Rui, Qu, Liangqiong, Wei, Qingyue et al.2023 · 181 citationsIEEE transactions on medical imaging. 2023;42(7):1932-1943
LOVM: Language-Only Vision Model Selection2306.08893v1 · Orr Zohar, Shih-Cheng Huang, Kuan-Chieh Wang et al.2023 · 5 citationsarXiv
Self-supervised learning for medical image classification: a systematic review and implementation guidelines.37100953 · Huang, Shih-Cheng, Pareek, Anuj, Jensen, Malte et al.2024 · 475 citationsNPJ digital medicine. 2023;6(1):74
BenchMD: A Benchmark for Unified Learning on Medical Images and Sensors2304.08486v2 · Kathryn Wantlin, Chenwei Wu, Shih-Cheng Huang et al.2023 · 10 citationsarXiv
Video Pretraining Advances 3D Deep Learning on Chest CT Tasks2304.00546v1 · Alexander Ke, Shih-Cheng Huang, Chloe P O'Connell et al.2023 · 3 citationsarXiv
Author Correction: Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials.36813827 · Esteva, Andre, Feng, Jean, van der Wal, Douwe et al.2023 · 5 citationsNPJ digital medicine. 2023;6(1):27
Diagnosing and Rectifying Vision Models using Language2302.04269v1 · Yuhui Zhang, Jeff Z. HaoChen, Shih-Cheng Huang et al.2023 · 10 citationsarXiv
Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image Segmentation2302.04303v1 · Yuhui Zhang, Shih-Cheng Huang, Zhengping Zhou et al.2023 · 4 citationsarXiv
Developing medical imaging AI for emerging infectious diseases.36400764 · Huang, Shih-Cheng, Chaudhari, Akshay S, Langlotz, Curtis P et al.2022 · 42 citationsNature communications. 2022;13(1):7060
Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials.35676445 · Esteva, Andre, Feng, Jean, van der Wal, Douwe et al.2024 · 216 citationsNPJ digital medicine. 2022;5(1):71
Automatic Lung Nodule Segmentation and Intra-Nodular Heterogeneity Image Generation.34910645 · Song, Jiangdian, Huang, Shih-Cheng, Kelly, Brendan et al.2022 · 40 citationsIEEE journal of biomedical and health informatics. 2022;26(6):2570-2581
AI recognition of patient race in medical imaging: a modelling study.35568690 · Gichoya, Judy Wawira, Banerjee, Imon, Bhimireddy, Ananth Reddy et al.2022 · 608 citationsThe Lancet. Digital health. 2022;4(6):e406-e414
RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR2111.11665v2 · Yuyin Zhou, Shih-Cheng Huang, Jason Alan Fries et al.2021 · 24 citationsarXiv
OncoNet: Weakly Supervised Siamese Network to automate cancer treatment response assessment between longitudinal FDG PET/CT examinations2108.02016v1 · Anirudh Joshi, Sabri Eyuboglu, Shih-Cheng Huang et al.2021 · 2 citationsarXiv
Multimodal fusion with deep neural networks for leveraging CT imaging and electronic health record: a case-study in pulmonary embolism detection.33335111 · Huang, Shih-Cheng, Pareek, Anuj, Zamanian, Roham et al.2021 · 246 citationsScientific reports. 2020;10(1):22147
Biomedical Graph Visualizer for Identifying Drug Candidates10.1101/2020.11.27.368811v1 · Teng, A., Villanueva, B., Jow, D. R. et al.2020 · 1 citationbioRxiv
Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines.33083571 · Huang, Shih-Cheng, Pareek, Anuj, Seyyedi, Saeed et al.2020 · 925 citationsNPJ digital medicine. 2020;3:136
Erratum: Author Correction: PENet-a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging.32793812 · Huang, Shih-Cheng, Kothari, Tanay, Banerjee, Imon et al.2020 · 12 citationsNPJ digital medicine. 2020;3:102
PENet-a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging.32352039 · Huang, Shih-Cheng, Kothari, Tanay, Banerjee, Imon et al.2024 · 191 citationsNPJ digital medicine. 2020;3:61
Ten simple rules for writing and sharing computational analyses in Jupyter Notebooks.31344036 · Rule, Adam, Birmingham, Amanda, Zuniga, Cristal et al.2019 · 168 citationsPLoS computational biology. 2019;15(7):e1007007
Ten Simple Rules for Reproducible Research in Jupyter Notebooks1810.08055v1 · Adam Rule, Amanda Birmingham, Cristal Zuniga et al.2018 · 18 citationsarXiv
Career total: 39 works. 26 are in this corpus.
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