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Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging.

J. Chaves, S. Huang, Y. Xu, H. Xu, N. Usuyama, S. Zhang, F. Wang, Y. Xie, M. Khademi, Z. Yang, H. Awadalla, J. Gong, H. Hu, J. Yang, C. Li, J. Gao, Y. Gu, C. Wong, M. Wei, T. Naumann, M. Chen, M. Lungren, S. Yeung-Levy, C. Langlotz, S. Wang, and H. Poon. CoRR, (2024)

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Shih Cheng Zien

Shih-hsin Huang

Shih Yen Huang

Ching-Shih Huang

Shih-cheng Kuo

Other publications of authors with the same name

RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR.Y. Zhou, S. Huang, J. Fries, A. Youssef, T. Amrhein, M. Chang, I. Banerjee, D. Rubin, L. Xing, N. Shah and 1 other author(s). CoRR, (2021)General Framework for Self-Supervised Model Priming for Parameter-Efficient Fine-tuning.S. Huang, S. Wang, M. Shih, S. Sahay, and H. yi Lee. CoRR, (2022)Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials.A. Esteva, J. Feng, D. van der Wal, S. Huang, J. Simko, S. Devries, E. Chen, E. Schaeffer, T. Morgan, Y. Sun and 35 other author(s). npj Digit. Medicine, (2022)Automatic Lung Nodule Segmentation and Intra-Nodular Heterogeneity Image Generation.J. Song, S. Huang, B. Kelly, G. Liao, J. Shi, N. Wu, W. Li, Z. Liu, L. Cui, M. Lungren and 4 other author(s). IEEE J. Biomed. Health Informatics, 26 (6): 2570-2581 (2022)GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-efficient Medical Image Recognition.S. Huang, L. Shen, M. Lungren, and S. Yeung. ICCV, page 3922-3931. IEEE, (2021)BenchMD: A Benchmark for Modality-Agnostic Learning on Medical Images and Sensors.K. Wantlin, C. Wu, S. Huang, O. Banerjee, F. Dadabhoy, V. Mehta, R. Han, F. Cao, R. Narayan, E. Colak and 5 other author(s). CoRR, (2023)LOVM: Language-Only Vision Model Selection.O. Zohar, S. Huang, K. Wang, and S. Yeung. CoRR, (2023)Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging.R. Yan, L. Qu, Q. Wei, S. Huang, L. Shen, D. Rubin, L. Xing, and Y. Zhou. CoRR, (2022)PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging.S. Huang, T. Kothari, I. Banerjee, C. Chute, R. Ball, N. Borus, A. Huang, B. Patel, P. Rajpurkar, J. Irvin and 7 other author(s). npj Digit. Medicine, (2020)Video pretraining advances 3D deep learning on chest CT tasks.A. Ke, S. Huang, C. O'Connell, M. Klimont, S. Yeung, and P. Rajpurkar. MIDL, volume 227 of Proceedings of Machine Learning Research, page 758-774. PMLR, (2023)

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Disambiguation of "Huang, Shih-Cheng"

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Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging.

Please choose a person to relate this publication to

Shih Cheng Zien

Shih-hsin Huang

Shih Yen Huang

Ching-Shih Huang

Shih-cheng Kuo

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Huang, Shih-Cheng"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging.

Please choose a person to relate this publication to

Shih Cheng Zien

Shih-hsin Huang

Shih Yen Huang

Ching-Shih Huang

Shih-cheng Kuo

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
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Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging.