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International journal articles

  1. H. H. Chang* and W.-C. Chan, “Automatic Registration of Remote Sensing Images Based on Revised SIFT With Trilateral Computation and Homogeneity Enforcement”, IEEE Trans. Geosci. Remote Sensing, Vol 59, No 9, pp. 7635-7650, 2021.
  2. H. H. Chang, P.-F. Chen, J.-K. Guo, and C.-C. Sung, “A self-adaptive single underwater image restoration algorithm for improving graphic quality”, EURASIP J. Image Video Process., 2020:41, September 2020.
  3. H. H. Chang*, “Single Underwater Image Restoration Based on Adaptive Transmission Fusion”, IEEE Access, Vol 8, pp. 38650-38662, 2020.
  4. H. H. Chang, C.-Y. Cheng, and C.-C. Sung*, “Single Underwater Image Restoration Based on Depth Estimation and Transmission Compensation”, IEEE Journal of Oceanic Engineering, Vol 44, No 4, pp. 1130-1149, 2019.
  5. H. H. Chang, G.-L. Wu, and M.-H. Chiang*, “Remote Sensing Image Registration Based on Modified SIFT and Feature Slope Grouping”, IEEE Geoscience and Remote Sensing Letters, Vol 16, No 9, pp. 1363-1367, 2019.
  6. H. H. Chang*, and C.-Y. Li, “An automatic restoration framework based on GPU-accelerated collateral filtering in brain MR images”, BMC Medical Imaging, Vol 19, No 8, pp. 1-13, 2019.
  7. H. H. Chang*, Y.-J. Lin, A. H. Zhuang, “An Automatic Parameter Decision System of Bilateral Filtering with GPU-Based Acceleration for Brain MR Images”, Journal of Digital Imaging, Vol 32, No 1, pp. 148-161, 2019.
  8. H. H. Chang*, C.-Y. Li, and A. H. Gallogly, “Brain MR Image Restoration Using an Automatic Trilateral Filter with GPU-Based Acceleration”, IEEE Trans. Biomed. Eng., Vol 65, No 2, pp. 400-413, 2018.
  9. H. H. Chang* and Y.-N. Chang, “CUDA-based Acceleration and BPN-assisted Automation of Bilateral Filtering for Brain MR Image Restoration”, Med. Phys., Vol 44, No 4, pp. 1420-1436, 2017.
  10. T.-X. Lin and H. H. Chang*, “Medical Image Registration Based on an Improved Ant Colony Optimization Algorithm”, Int. J. Pharm. Med. Biol. Sci., Vol. 5, No. 1, pp. 17-22, 2016.
  11. C.-H. Wu and H. H. Chang*, “Superpixel-based image noise variance estimation with local statistical assessment”, EURASIP J. Image Video Process., 2015:38, December 2015.
  12. Y.-N. Chang and H. H. Chang*, “Automatic Brain MR Image Denoising Based on Texture Feature-Based Artificial Neural Networks”, Bio-Med. Mater. Eng., Vol. 26, No. s1, pp. 1275-1282, 2015.
  13. Y.-S. Chen and H. H. Chang*, “Skull Stripping in MR Images Using an Adaptive Deformable Model with Dynamic Brain Intensity Detection”, Int. J. Pharm. Med. Biol. Sci., Vol. 4, No. 1, pp. 56-60, January 2015.
  14. Y.-J. Lin and H. H. Chang*, “Automatic Noise Removal in MR Images Using Bilateral Filtering Associated with Artificial Neural Networks”, Int. J. Pharm. Med. Biol. Sci., Vol. 4, No. 1, pp. 39-43, January 2015.
  15. H. H. Chang* and C.-Y. Tsai, “Adaptive Registration of Magnetic Resonance Images Based on a Viscous Fluid Model”, Comput. Meth. Programs Biomed., Vol 117, Issue 2, pp. 80-91, 2014.
  16. H.-T. Liu, T. W. H. Sheu, and H. H. Chang*, “Automatic Segmentation of Brain MR Images Using an Adaptive Balloon Snake Model with Fuzzy Classification”, Med. Biol. Eng. Comput., Volume 51, Issue 10, pp. 1091-1104, 2013.
  17. H. H. Chang* and W. C. Chu, “Restoration Algorithm for Image Noise Removal Using Double Bilateral Filtering”, J. Electron. Imaging, 21(2), 023028, 2012.
  18. H. H. Chang*, “Numerical Investigation of Electrostatic Interactions in Nanoscale Substances Based on Finite-Size Particle Simulation”, Phys. Lett. A, Vol 374, pp. 3710-3714, 2010.
  19. H. H. Chang, D. J. Valentino, and W. C. Chu*, “Active Shape Modeling with Electric Flows”, IEEE Trans. Vis. Comput. Graph., Vol 16 No 5, pp. 854-869, 2010.
  20. H. H. Chang, G. R. Duckwiler, D. J. Valentino, and W. C. Chu*, “Computer-assisted Extraction of Intracranial Aneurysms on 3D Rotational Angiograms for Computational Fluid Dynamics Modeling”, Med. Phys., Vol 36 No 12, pp. 5612-5621, 2009.
  21. P.-W. Hsu, T. H. Lin, H. H. Chang, Y. T. Chen, Y. J. Tseng, C. H. Hsiao, C. T. Chang, H. W. Chiu, D.H.T. Yen, P. C. Chen, and W. C. Chu*, “Simulations and Experiments for Optimal Deployment of an RFID-based Location-Aware System”, Wirel. Commun. Mob. Comput. (online), 2009.
  22. H. H. Chang*, A. H. Zhuang, D. J. Valentino, and W. C. Chu, “Performance Measure Characterization for Evaluating NeuroImage Segmentation Algorithms”, NeuroImage, Vol 47 No 1, pp. 122-135, 2009.
  23. H. H. Chang*, “Computer Simulations of Isolated Conductors in Electrostatic Equilibrium”, Phys. Rev. E, 78 056704, 2008. (selected for “Kaleidoscope” on the journal web site).
  24. H. H. Chang* and D. J. Valentino, “An Electrostatic Deformable Model for Medical Image Segmentation”, Comput. Med. Imaging Graph., Vol 32 No 1, pp. 22-35, 2008
  25. H. H. Chang*, D. J. Valentino, G. R. Duckwiler and A. W. Toga, “Segmentation of Brain MR Images Using a Charged Fluid Model”, IEEE Trans. Biomed. Eng., Vol 54 No 10, pp. 1798-1813, 2007.
  26. H. H. Chang and D. J. Valentino*, “Image Segmentation Using a Charged Fluid Method”, J. Electron. Imaging, 15, 023011, 2006.
  27. Y. J. Tseng, H. H. Chang, C. Y. Shiau, W. Y. Chung, D. H. C. Pan and W. C. Chu*, “PC-based Gamma Knife Radiosurgery Dose Calculation”, IEEE Eng. Med. Biol. Mag. 22(5), pp. 92-107, Sept.-Oct. 2003.

International conference presentations and papers

  1. J.-H. Huang, C.-H. H. Yang, F. Liu, M. Tian, Y.-C. Liu, T.-W. Wu, I-H. Lin, K. Wang, H. Morikawa, H. H. Chang, J. Tegner, and M. Worring, “DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation”, IEEE Winter Conference on Applications of Computer Vision (WACV), Jan 5-9, Virtual, 2021.
  2. H. H. Chang* and Y.-H. Chao, “Fast Volumetric Registration in MR Images Based on an Accelerated Viscous Fluid Model”, EUSIPCO 2020, Jan 18-22, Amsterdam, Netherlands, 2021.
  3. H. H. Chang*, S.-J. Yeh, M.-C. Chiang, and S.-T. Hsieh, “Automated Brain Extraction and Separation in Triphenyltetrazolium Chloride-Stained Rat Images”, EUSIPCO 2020, Jan 18-22, Amsterdam, Netherlands, 2021.
  4. H. H. Chang*, S.-J. Yeh, M.-C. Chiang, and S.-T. Hsieh, “Infarct region segmentation in rat brain T2 MR images after stroke based on fully convolutional networks”, Proc. SPIE 11317, Medical Imaging 2020: 113172G, Feb 15-20, Houston, Texas, United States, 2020.
  5. C.-H. Yeh and H. H. Chang*, “Face Liveness Detection Based on Perceptual Image Quality Assessment Features with Multi-scale Analysis”, IEEE Winter Conference on Applications of Computer Vision (WACV), Mar 12-15, Lake Tahoe, NV/CA, USA, pp. 49-56, 2018.
  6. G.-L. Wu and H. H. Chang*, “An Accurate Feature Point Matching Algorithm for Automatic Remote Sensing Image Registration”, The International Conference on Digital Image Computing: Techniques and Applications (DICTA), Nov 29 – Dec 1, Sydney, Australia, pp. 164-171, 2017.
  7. H. H. Chang* and C.-C. Hsieh, “Brain Segmentation in MR Images Using a Texture-Based Classifier Associated with Mathematical Morphology”, The 39th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC’17), July 11-15, JeJu Island, South Korea, pp. 3421-3424, 2017.
  8. C.-H. Yeh and H. H. Chang*, “Face Liveness Detection with Feature Discrimination between Sharpness and Blurriness”, The 15th IAPR Conference on Machine Vision Applications (MVA2017), May 8-12, Nagoya, Japan, pp. 398-401, 2017.
  9. C.-Y. Li and H. H. Chang*, “CUDA-Based Acceleration of Collateral Filtering in Brain MR Images”, Proc. SPIE 10225, The 8th International Conference on Graphic and Image Processing (ICGIP 2016), Oct 29-31, Tokyo, Japan, 1022528 (2017/02/08), 2016.
  10. C.-H. Yeh, H. H. Chang, C.-C. Hsu and W.-Y. Wang, “Simultaneous Localization and Mapping with a Dynamic Switching Mechanism (SLAM-DSM)”, The 4th International Conference on Robot Intelligence Technology and Applications (RITA), Dec 14-16, Bucheon, Korea, 2015.
  11. C.-Y. Cheng, C.-C. Sung and H. H. Chang*, “Underwater Image Restoration by Red-Dark Channel Prior and Point Spread Function Deconvolution”, IEEE International Conference on Signal and Image Processing Applications (IEEE ICSIPA 2015), Oct 19-21, Kuala Lumpur, Malaysia, pp. 110-115, 2015. (Best Paper Award)
  12. C.-M. Su and H. H. Chang*, “A Level Set Based Deformable Model for Segmentation of Human Brain MR Images”, IEEE Proc. BMEI, Oct 14-16, Dalian, China, pp. 112-116, 2014. (EI)
  13. J.-K. Guo, C.-C. Sung and H. H. Chang*, “Restoration of Underwater Vision Using a Two-phase Regularization Mechanism”, IEEE Proc. CISP, Oct 14-16, Dalian, China, pp. 284-288, 2014. (EI)
  14. J.-K. Guo, C.-C. Sung and H. H. Chang*, “Improving Visibility and Fidelity of Underwater Images Using an Adaptive Restoration Algorithm”, IEEE Proc. OCEANS’14, Apr 7-10, Taipei, Taiwan, pp. 1-6, 2014.
  15. Y.-N. Ting, P.-C. Chen, H. H. Chang and W. C. Chu*, “A Synthetic Method for Improving MR Image Contrast: Simulation and Phantom Study”, IEEE Proc. BMEI, Dec 16-18, Hangzhou, China, pp. 96-100, 2013. (EI)
  16. Y.-S. Chen and H. H. Chang, “Brain Extraction Based on an Improved Charged Fluid Model in MRI”, The 15th International Conference on Biomedical Engineering (ICBME 2013), Dec 4-7, Singapore, IFMBE Proc. Vol. 43, pp. 597-600, 2013.
  17. Y.-J. Lin and H. H. Chang, “Investigation of Significant Attributes Based on Image Feature and Texture Analysis for Automatic Noise Reduction in MRI”, The 15th International Conference on Biomedical Engineering (ICBME 2013), Dec 4-7, Singapore, IFMBE Proc. Vol. 43, pp. 589-592, 2013.
  18. P.-F. Chen, J.-K. Guo, C.-C. Sung and H. H. Chang, “An Improved Dark Channel Based Algorithm for Underwater Image Restoration”, International Symposium on “Physics and Mechanics of New Materials and Underwater Applications” (PHENMA2013), June 5-8, Kaohsiung, Taiwan, 2013.
  19. L. Tsai and H. H. Chang, “An Incompressible Fluid Flow Model with Mutual Information for MR Image Registration”, Proc. SPIE 8661, Image Processing: Machine Vision Applications VI, 86610T, Feb 3-7, Burlingame, California, 2013. (EI)
  20. H.-T. Liu, T. W. H. Sheu, and H. H. Chang, “A Hybrid Skull-Stripping Algorithm Based on Adaptive Balloon Snake Models”, Proc. SPIE 8655, Image Processing: Algorithms and Systems XI, 86550J, Feb 3-7, Burlingame, California, 2013. (EI)
  21. C.-H. Wu and H. H. Chang, “Gaussian Noise Estimation with Superpixel Classification in Digital Images”, IEEE Proc. CISP, Oct 16-18, Chongqing, China, pp. 459-463, 2012. (EI)
  22. H.-T. Liu, C.-H. Wu and H. H. Chang, “Brain Image Segmentation Using an Adaptive Balloon Snake Model”, IEEE Proc. iCBBE, May 17-20, Shanghai, China, pp. 505-508, 2012. (EI)
  23. H. H. Chang, C.-J. Huang, and W. C. Chu, “Skull-Stripping Brain MR Images Based on a Cluster-Constraint Watershed Method”, IEEE Proc. iCBBE, May 17-20, Shanghai, China, pp. 382-385, 2012. (EI)
  24. Y.-N. Ting, H. S. Yuan, H. H. Chang, and W. C. Chu, “Automatic Noise Removal And Effect of NEX Setting on Magnetic Resonance Images”, IEEE Proc. BMEI, Oct 15-17, Shanghai, China, pp. 162-166, 2011. (EI)
  25. H. H. Chang, T.-J. Hsieh, Y.-N. Ting and W. C. Chu, “Rician Noise Removal in MR Images Using an Adaptive Trilateral Filter”, IEEE Proc. BMEI, Oct 15-17, Shanghai, China, pp. 466-470, 2011. (EI)
  26. H. H. Chang, M.-C. Chiang, T. W. H. Sheu, and H. Huang, “A Contrast-Enhanced Trilateral Filter for MR Image Denoising”, IEEE Proc. ISBI, Mar 30 – Apr 2, Chicago, Illinois, pp. 1823-1826, 2011.
  27. H. H. Chang, “Entropy-based Trilateral Filtering for Noise Removal in Digital Images”, IEEE Proc. CISP, Oct 16-18, Yantai, China, pp. 673-677, 2010. (EI)
  28. H. H. Chang and W. C. Chu, “Collateral Filtering of Magnetic Resonance Images”, IEEE Proc. ISBI, Apr 14-17, Rotterdam, The Netherlands, pp. 728-731, 2010.
  29. W.-H. Chen, H. H. Chang, T. H. Lin, P. C. Chen, L. K. Chen, S. J. Hwang, D. H. T. Yen, H. S. Yuan, and W. C. Chu, “Dynamic Indoor Localization Based on Active RFID for Healthcare Applications: a Shape Constraint Approach”, IEEE Proc. BMEI, Oct 17-19, Tianjin, China, pp. 1-5, 2009. (EI)
  30. C.-S. Cheng, H. H. Chang, Y. T. Chen, T. H. Lin, P. C. Chen, C. M. Huang, H. S. Yuan, and W. C. Chu, “Accurate Location Tracking Based on Active RFID for Health and Safety Monitoring”, IEEE Proc. iCBBE, June 11-13, Beijing, China, pp. 1-4, 2009. (EI)
  31. H. H. Chang and W. C. Chu, “Double Bilateral Filtering for Image Noise Removal”, IEEE Proc. CSIE, Mar 31 – Apr 2, Anaheim, Los Angeles, California, Vol. 6, pp. 451-455, 2009. (EI)
  32. P.-W. Hsu, T. H. Lin, H. H. Chang, Y. T. Chen, C. Y. Yen, Y. J. Tseng, C. T. Chang, H. W. Chiu, C. H. Hsiao, P. C. Chen, L. C. Lin, H. S. Yuan, and W. C. Chu, “Practicability Study on the Improvement of the Indoor Location Tracking Accuracy with Active RFID”, IEEE Proc. CMC, Jan 6-8, Kunming, Yunnan, China, Vol. 3, pp. 165-169, 2009. (EI)
  33. S. Y. Chen, H. H. Chang, S. H. Hung, and W. C. Chu, “Breast Tumor Identification in Ultrasound Images Using the Normalized Cuts with Partial Grouping Constraints”, IEEE Proc. BMEI, May 28-30, Sanya, Hainan, China, Vol. 2, pp. 28-32, 2008. (EI)
  34. H. H. Chang and D. J. Valentino, “A Simulated Charged Fluid for Deformable Models”, IEEE Proc. Med. Biol. ISBI, Special Issue for the International Symposium on Biomedical Imaging, Apr 15-18, Arlington, Virginia, pp. 912-915, 2004.
  35. H. H. Chang and D. J. Valentino, “Medical Image Segmentation Using a Simulated Charged Fluid”, Proc. SPIE Conf. Med. Imag.: Image Processing 5370, Feb 14-19, San Diego, California, pp. 494-505, 2004.
  36. H. H. Chang, “Moving Linkage”, Proc. SPIE Conf. Med. Imag.: Image Processing 5370, Feb 14-19, San Diego, California, pp. 357-368, 2004.
  37. H. H. Chang, S. C. Neu and D. J. Valentino, “Region-based Segmentation Using a Simulated Charged Fluid”, Proc. SPIE Conf. Med. Imag.: Image Processing 5032, Feb 15-20, San Diego, California, pp. 654-662, 2003.
  38. W. C. Chu, H. H. Chang, Y. J. Tseng, J. Wang, W. Y. Chung, W. Y. Guo, C. Y. Shiau and D. H. C. Pan, ”A Simulated Annealing Approach for Automating Treatment Planning in Gamma Knife Radiosugery”, Proc. Third Congress Asian Society Stereotactic, Functional and Computer Assisted Neurosurgery; June 13-16, Seoul, Korea, pp. 106, 1999.
  39. W. C. Chu, H. H. Chang, J. Wang, W. Y. Chung, C. Y. Shiau, W. Y. Guo and D. H. C. Pan, ”An Automatic Treatment Planning System using Simulated Annealing Algorithm for Gamma Knife Radiosurgery”, Proc. 9th International Meeting Leksell Gamma Knife Society; Nov 8-11, Hong Kong, pp. 92, 1998.

Domestic conference presentations and papers

  1. H.-H. Kuo and H. H. Chang*, “A Semi-Supervised Face Anti-Spoofing Model Based on Deep Feature Clustering”, The 9th WACBE World Congress on Bioengineering (WACBE 2019), Aug 16-19, Taipei, Taiwan, 2019.
  2. Y.-N. Chang and H. H. Chang*, “Study of Discrimination Ability of Texture Features for Automatic Noise Removal in Brain MR Images”, The 9th Asian-Pacific Conference on Medical and Biological Engineering (APCMBE 2014), Oct 9-12, National Cheng Kung University, Tainan, Taiwan, 2014.
  3. 林鈺儒、張恆華, “使用倒傳遞類神經網路於自動化雙邊濾波腦部核磁共振影像”, 2012生物醫學 工程科技研討會暨國科會醫學工程學門成果發表會, 11月17日、18日, 中原大學, 中壢, 台灣, 2012.
  4. H.-T. Liu (劉泓廷) and H. H. Chang (張恆華), “Hybrid Watershed Segmentation With Automatic Start Level Selection”, The 24th IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP), Aug 21- 23, National Chung Cheng University, Chiayi, Taiwan, pp. 1-8, 2011.
  5. 黃群然、張恆華、朱唯勤, “以改良式分水嶺演算法為基礎的大腦磁振照影影像分割”, 2010生物 醫學工程科技研討會暨國科會醫學工程學門成果發表會, 12月10日、11日, 義守大學, 高雄, 台 灣, 2010.
  6. 謝東儒、張恆華、朱唯勤, “利用一個自適性三邊濾波器去除磁振影像上的萊斯雜訊”, 2010生物 醫學工程科技研討會暨國科會醫學工程學門成果發表會, 12月10日、11日, 義守大學, 高雄, 台 灣, 2010.