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院長特助

黃彥皓 Yan-Hao Huang

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綠色與資訊科技學士學位學程 助理教授

兼任 理工學院院長特助

  • 專線：(089)517921 
  • 分機：6717(研究室)
  • 傳真：(089)517509 (院辦)
  • 信箱：yhhuang@nttu.edu.tw

一、學　　歷：國立台灣大學 資訊工程研究所 博士

二、研究專長：電腦視覺、深度學習、圖形辨識、電腦輔助診斷系統、AIoT智慧物聯網、智慧電網實務應用

三、經　　歷：

  • 國立臺東大學 理工學院院長特助,2023.08.01~迄今
  • 國立臺東大學 綠色與資訊科技學士學位學程助理教授,2023.08.01~迄今

四、研究著作：

  • Huang YH, Chang YC, Huang CS, Chen JH, Chang RF, 2014.4, “Computerized Breast Mass Detection Using Multi-Scale Hessian-Based Analysis for Dynamic Contrast-Enhanced MRI,” Journal of Digital Imaging, vol 27, no. 5, pp. 649-660. (SCI, EI)
  • Chang YC, Huang YH, Huang CS, Chen JH, Chang RF, 2014.1, “Computerized breast lesions detection using kinetic and morphologic analysis for dynamic contrast-enhanced MRI,” Magnetic Resonance Imaging, vol. 32, no. 5, pp. 514-22. (SCI)  
  • Wang TC, Huang YH, Huang CS, Chen JH, Huang GY, Chang YC, Chang RF, 2014.4, “Computer-aided diagnosis of breast DCE-MRI using pharmacokinetic model and 3-D morphology analysis,” Magnetic Resonance Imaging, vol. 33, no. 3, pp. 197-205. (SCI)
  • Huang YH, Chang YC, Huang CS, Wu TJ, Chen JH, Chang RF, 2013.12, “Computer-aided diagnosis of mass-like lesion in breast MRI: differential analysis of the 3-D morphology between benign and malignant tumors,” Computer Methods and Programs in Biomedicine, vol. 112, no. 3, pp. 508-17. (SCI, EI)
  • Huang YH, Chen JH, Chang YC, Huang CS, Moon WK, Kuo WJ, Lai KJ, Chang RF, 2013.8, “Diagnosis of solid breast tumors using vessel analysis in three-dimensional power Doppler ultrasound images,” Journal of Digital Imaging, vol. 26, no. 4, pp. 731-9. (SCI, EI)
  • Chang YC, Huang YH, Huang CS, Chang RF, 2012.11, “Vascular morphology and tortuosity analysis of breast tumor inside and outside contour by 3-D power Doppler ultrasound,” Ultrasound in Medicine and Biology, vol. 38, no. 11, pp. 1859-69. (SCI, EI)
  • Chang YC, Huang YH, Huang CS, Chang PK, Chen JH, Chang RF, 2012.4, “Classification of breast mass lesions using model-based analysis of the characteristic kinetic curve derived from fuzzy c-means clustering,” Magnetic Resonance Imaging, vol. 30, no. 3, pp. 312-22. (SCI)

五、研討會論文：

  • Wang TC, Huang YH, Huang CS, Chen JH, Huang GY, Chang YC, Chang RF. “Computer-aided Diagnosis for Breast DCE-MRI Based on Morphologic and Pharmacokinetic Model,” 63th annual meeting of the radiological society of the republic of China. Mar 22-23, 2014.
  • Chang YC, Huang YH, Lin CH, Huang CS, Chen JH, Chang RF. “A new computer-aided algorithm for comparing apparent diffusion coefficient (ADC) mapping and dynamic contrast-enhanced (DCE) MRI using pharmacokinetic model for breast tumor classification,” International Society for Magnetic Resonance in Medicine 2013 (ISMRM 2013), 21st annual meeting & exhibition, Salt Lake City, USA. Apr 20-26, 2013.
  • Chang YC, Huang YH, Lin CH, Huang CS, Chen JH, Wang TC, Chang RF. "Computer-aided system for breast masses," 11th Asian Breast Diseases Association 2013 (ABDA 2013) Meeting and Symposium, Taipei, Taiwan. Sep 21-22, 2013.
  • Huang YH, Chang RF, Chang YC, Huang CS, 2012.11, “Computer-aided detection of breast mass for dynamic contrast-enhanced MRI,” International Forum on Medical Imaging in Asia 2012 (IFMIA 2012), KAIST, Daejeon, Korea, Nov 16-17, 2012, P2-36. (Best Poster Award)
  • Chang RF, Chang YC, Huang YH, Lin CH, Huang CS, 2012.6, “Computer-aided diagnosis of breast DCE-MRI and DWI,” Computer Assisted Radiology and Surgery 2012 (CARS 2012), Proceedings of the 25th International Congress and Exhibition, Pisa, Italy, June 27-30, 2012, International Journal of Computer Assisted Radiology and Surgery, vol. 7, supp. 1, p.S252.
  • W. -C. Chin, Z. -J. Jhang, Y. -H. Huang, K. Ito and H. T. Chen, "Learning Dense Correspondences via Local and Non-local Feature Fusion," 2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (IEEE APSIPA ASC), 2020, pp. 1087-1095.
  • T. -I. Hsieh, H. -T. Chen, C. -M. Cheng and Y. -H. Huang, "Hallucinating Scenes," 2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (IEEE APSIPA ASC), 2020, pp. 1075-1080.