Yung Hui Huang | Radiological Sciences | Best Researcher Award

Prof. Yung Hui Huang at I-Shou university | Taiwan

Yung-Hui Huang  is a distinguished researcher in Medical Imaging and Radiological Sciences at I-Shou University, Taiwan. He earned his Ph.D. (2008) and M.S. (2003) from National Yang-Ming University, Taiwan, specializing in biomedical imaging and radiological sciences, and holds a B.S. in Electrical Engineering (2001) from National Taipei University of Technology, Taiwan. Dr. Huang’s research focuses on advanced imaging techniques, medical image analysis, and machine learning applications in radiology, with a particular emphasis on ultrasound, CT, PET, and MRI imaging modalities. He has authored 52 documents, which have been cited 363 times, resulting in an h-index of 9. His publications appear in internationally recognized journals such as Scientific Reports, Healthcare, Sensors, and the Journal of X-Ray Science and Technology, covering topics from prostate cancer detection, liver and breast imaging, COVID-19 classification, to Parkinson’s disease staging and radiation dosimetry. Dr. Huang’s work combines deep learning, fusion feature extraction, and computational imaging techniques to improve diagnostic accuracy and clinical workflow efficiency. He continues to advance medical imaging research through innovative studies, interdisciplinary collaboration, and mentorship of emerging scientists in the field.

Profile: Scopus | Orcid  

Featured Publications 

Lu, N.-H., Wang, C.-Y., Liu, K.-Y., Huang, Y.-H., & Chen, T.-B. (2025). AI-enhanced deep learning framework for pulmonary embolism detection in CT angiography. Bioengineering, 12(10), 1055.

Liu, K.-Y., Lu, N.-H., Huang, Y.-H., Matsushima, A., Kimura, K., Okamoto, T., & Chen, T.-B. (2025). Majority voting ensemble of deep CNNs for robust MRI-based brain tumor classification. Diagnostics, 15(14), 1782.

Wang, Y.-M., Wang, C.-Y., Liu, K.-Y., Huang, Y.-H., Chen, T.-B., Chiu, K.-N., Liang, C.-Y., & Lu, N.-H. (2024). CNN-based cross-modality fusion for enhanced breast cancer detection using mammography and ultrasound. Tomography, 10(12), 145.

Yang, S.-Y., Hsu, S.-Y., Su, Y.-K., Lu, N.-H., Liu, K.-Y., Chen, T.-B., Chiu, K.-N., Huang, Y.-H., & Yeh, L.-R. (2024). Using key predictors in an SVM model for differentiating spinal fractures and herniated intervertebral discs in preoperative anesthesia evaluation. Diagnostics, 14(21), 2456.

Wang, J.-Z., Lu, N.-H., Du, W.-C., Liu, K.-Y., Hsu, S.-Y., Wang, C.-Y., Chen, Y.-J., Chang, L.-C., Twan, W.-H., Chen, T.-B., & Huang, Y.-H. (2023). Classification of color fundus photographs using fusion extracted features and customized CNN models. Healthcare, 11(15), 2228.

Yung Hui Huang | Radiological Sciences | Best Researcher Award

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