Medical Ultrasound Imaging Lab
Research Field
Chih-Chung Huang was born in 1978, Taiwan. He received the B.S., M.S., and Ph.D. degrees in Biomedical Engineering from Chung Yuan Christian University, Chung-Li, Taiwan, in 2002, 2003, and 2007. From 2006 to 2007, he worked at NIH Resource Center for Medical Ultrasonic Transducer Technology at the University of Southern California, Los Angeles, USA as a Visiting Researcher where he was engaged in research of high frequency ultrasound imaging and development of new acoustic methods for cataract diagnosis. In 2008, he joined the Department of Electrical Engineering, Fu Jen Catholic University, Taiwan as an Assistant Professor. In 2012, Dr. Huang was promoted as an Associate Professor. In 2013, he joined the Department of Biomedical Engineering, National Cheng Kung University, Taiwan. Currently, he is a Distinguished Professor at Department of Biomedical Engineering. Dr. Huang was the Deputy Director of Medical Device Innovation Center, the Deputy Director of Technology Transfer & Business Incubation Center, the Strategic Planning Division Director of Research & Services Headquarters at National Cheng Kung University, Taiwan. He was the Secretary General of Taiwanese Society of Biomedical Engineering. He was a visiting professor in the NC State University, Department of MAE, NC, USA from 2021/08 to 2022/08. His research interests include ultrasonic tissue characterization, blood flow measurement, high frequency ultrasound, and ultrasonic instrument for medical applications, etc. Dr. Huang was selected as a member of IFMBE Asia-Pacific Research Networking Fellowship as well as the ordinary member of CoS representative of Taiwanese Society of Biomedical Engineering of IFMBE affiliated Society. Dr. Huang is an associate editor for Medical Physics and Journal of Medical and Biological Engineering, guest editor for IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. He is a senior member of IEEE as well as the TPC member of IEEE IUS.
My research focuses on the Biomedical Ultrasound Imaging, including developments of both hardware and software for high frequency ultrasound imaging systems, deep learning technology for medical ultrasound imaging, ultrafast ultrasound imaging, high frequency ultrasound Doppler technology for blood flow measurement, novel ultrasound elastography technology, high frequency ultrasonic tissue characterization, and ultrasound for neuroscience applications. I would like to provide the new generation medical diagnostic devices for compensating the deficiencies of existing medical ultrasound imaging technology by multidisciplinary integration of engineering and medical diagnosis. One of my important topics is the novel high resolution ultrasound bio‐microscopy for neuroscience applications, which combines with high frequency ultrasound duplex imaging and high-resolution ultrasound elastography technology, which will be useful for tissue characteristics of human in clinical and small animal in pre‐clinical study. All my research fields provide the complete non‐invasive solutions for gene research, cancer study, ophthalmology, skin, cardiovascular disease, and neuroscience diagnosis. The detailed descriptions of my specific research interests are as follows:
High resolution brain ultrasound imaging for neurodegenerative disease
The clinical symptom of Alzheimer’s disease (AD) includes a progressive decline of memory function. A high density of neuritic plaques, neurofibrillary tangles, and vascular amyloid (Aβ) is a characteristic neuropathological marker of AD. Plaques and tangles in the neuropil may affect neuronal function and contribute to the neuronal damage; however, it is unclear whether their incidence correlates with the clinical signs and symptoms of cognitive impairment characteristic of the disease. Substantial evidence from epidemiological, pathological, and clinical reports suggests that vascular factors are critical in the pathogenesis of AD, and changes in blood flow are currently the most reliable indicators of the disease. Currently, AD mouse is a good small animal model for AD pre‐clinical studies, however, there is no suitable high resolution imaging system for detecting the vascular properties of mouse. Therefore, I am going to develop a high frequency ultrahigh frame rate ultrasound imaging array system for monitoring the variations of brain circulation, including the density of vessel, the atherosclerosis of brain, and brain activation. Then, I build a high-resolution mouse brain shear wave elastography for detecting the viscoelastic properties of AD mouse brain tissue and try the find the relationship between brain mechanical properties and neuritic plaques and neurofibrillary. Finally, high frequency ultrahigh frame rate Doppler imaging and high resolution elastography will be applied to AD mouse to measure the density of vessel, the atherosclerosis of brain, brain activation, and brain elasticity during AD. The experimental results will compare to histo‐chemistry results for the future pre‐clinical studies to explore brain and cerebral vascular elasticity for fiber tangle with amyloid plaques affects the nervous foundation.
Artificial intelligence technology for medical ultrasound imaging
Deep convolutional neural network (CNN) for medical ultrasound imaging is one of my major research projects. Two topics that I am working on: 1) use of CNN for ultrasound image segmentation which provides a better clinical diagnosis to assist physicians and 2) use of CNN as a part for speeding up the ultrasound ultrafast imaging.
Atherosclerosis is the major cause of cardiovascular diseases (CVDs). Intravascular ultrasound (IVUS) is a common imaging modality for diagnosing CVDs. However, an efficient analyzer for IVUS image segmentation is required for assisting cardiologists. I proposed an end-to-end deep-learning model consisting of three modified U-Nets to simultaneously segment media–adventitia layers and luminal regions and, most crucially, to locate calcified plaques in grayscale IVUS images. The U-Net architecture is adopted as the baseline of the proposed model on which the concept of cascaded networks is applied. Furthermore, the proposed method exhibited high accuracy in the segmentation of IVUS images in some special cases, such as when shadow artifacts or side vessels surrounded the target vessel in images.
Ultrafast ultrasound imaging based on plane wave compounding has been proposed for use in various clinical and preclinical applications, including shear wave imaging and super resolution blood flow imaging. Because the image quality afforded by plane wave imaging is highly dependent on the number of PW angles used for compounding, a tradeoff between image quality and frame rate occurs. Here, a CNN beamformer based on a combination of the GoogLeNet and U-Net architectures was developed to replace the conventional delay-and-sum (DAS) algorithm to obtain high-quality images at a high frame rate. RF channel data are used as the inputs for the CNN beamformers. The outputs are in-phase and quadrature data. Finally, the CNN beamformer eliminated the image quality–frame rate tradeoff of coherent compounding.
Low-intensity pulsed ultrasound for neuromodulation
Motor neuron diseases (MND) are a group of neurodegenerative diseases caused by aging, inflammation, environmental pollutants, nutritional factors, or an overproduction of free radicals that attack nerve cells and that induce neuronal cell death due to oxidative stress. Currently, Low-intensity pulsed ultrasound (LIPUS) neuromodulation has exhibited that ultrasound waves can interact with cell membranes and mechanosensitive ion channels, causing changes in neuronal activity. However, the mechanism of ultrasound neurodegenerative is fully understood. Therefore, the LIPUS for neuromodulation will be studied from cell level to animal to human in my Lab. For cell level, the NSC-34 cell line, a population of hybridomas generated using mouse spinal cord cells with neuroblastoma, was used to investigate the effect of LIPUS as part of an MND treatment model. The nuclear translocation of Ca2+-dependent transcription factors was also examined. We determined that the neurite outgrowth and cell number of NSC-34 significantly increased with LIPUS stimulation at days 2 and 4, which may be associated with the treatment’s positive effect on the activation of Ca2+-dependent transcription factors, such as nuclear factor of activated T cells and nuclear factor-kappa B. Our findings suggest that the LIPUS-induced Ca2+ signaling and transcription factor activation facilitate the morphological maturation and proliferation of NSC-34 cells. LIPUS is a noninvasive method that can be applied to improve stimulation therapy for MNDs in the animal and human studies in the future.
High resolution ultrasound vessel wall shear stress imaging
It is well known that most acute cardiovascular diseases (CVDs) are precipitated by the rupture of a vulnerable atherosclerotic plaque in the arterial system, and subsequent thrombogenesis. Even minimally or moderately stenotic atherosclerotic plaques can cause acute myocardial infarction and sudden cardiac death. Currently, many studies have indicated that wall shear stress play an important role during the formation of atherosclerotic plaque. Vessel wall shear stress (WSS) is a frictional force acting on the endothelial cell of blood vessel during blood flow, and it changes the structure and function of the endothelial cell to lead the biochemical reaction (inflammation) which causes atherosclerosis, the so-called endothelial mechanotransductio. In the other words, detecting the distribution of WSS along the vessel not only can be used as an index for pre-clinical research of atherosclerotic plaque but also may become a useful tool for cardiovascular diseases diagnosis. In addition, there is no relative imaging diagnostic device available to detect the stiffness of artery from a small region. Therefore, a novel duplex ultrasound WSS and pulse wave velocity (PWV) mappings based on ultrafast ultrasound vector Doppler imaging will be proposed to characterize atherosclerotic plaques in my Lab: from software simulation, phantom experiments, small animal study (~40 MHz) to human study (5-10 MHz) to verify the performance of this novel ultrasound functional imaging. The results of this research not only will provide the new information for specialists to diagnose the CVD but also can create a novel medical device for dynamic diagnosis of plaque characteristics in patients.
New viscoelastic model for high resolution ultrasound elastography
Ultrasound elastography has been used widely in clinical diagnosis, such as liver tumor and breast tumors. The main technique is to use acoustic radiation force to create shear wave in soft tissue, and then to track the shear wave speed by using ultrafast ultrasound imaging. Since the shear wave speed is directly proportional to the tissue elasticity, the viscoelastic properties of tissue can be estimated by the co-called shear wave imaging. However, as the acoustic radiation force was applied on the “thin layer” tissue, the so-called guided wave was created instead the shear wave in tissues. The guided wave contains the Lamb wave and Rayleigh Lamb wave. Currently, several studies have indicated that use of shear wave model is incorrect for estimating the viscoelastic properties of thin layer tissues, such as cornea, blood vessel wall, and skin. The effect of guided wave should be considered in this thin layer tissue applications. Therefore, the purpose of this research is to develop guided wave technology for estimating the viscoelastic properties of thin layer tissues. The implementation of this research will clarify the measurements of the viscoelastic properties for thin-layer tissues using ultrasound elastography, which can be applied to cornea, skin, vessel, and small animal tissues in the future.
Super resolution blood flow imaging and its biomedical applications
Ultrasound Doppler blood flow image has been used widely in clinical diagnosis, such as carotid artery blood flow, liver blood flow, and renal perfusion imaging. Currently, the color Doppler imaging, power Doppler imaging, and pulse-wave Doppler sonography are very common in clinical ultrasound systems. However, the accuracy of blood flow velocity measurement is highly related to the correct estimation of the Doppler angle and the flow direction cannot be perpendicular to the ultrasound beam. Therefore, the blood velocity vector flow imaging was proposed for accurately measuring blood flow velocity in all directions at any angle. In addition, high frequency ultrasound imaging has been used for adult eye flow imaging, infant organs imaging, small animal blood flow imaging. However, there is no high frequency blood velocity vector flow imaging available currently. The reason may be attributed to (1) lack of multi-angle high frequency ultrasound transmission imaging system, (2) inadequate sensitivity of blood flow signals (due to high attenuation of high frequency ultrasound), and (3) the maximum flow velocity is limited (operational frequency is too high). Therefore, the purposes of this research are going to overcome these problems and provides the high frequency blood velocity vector flow imaging for low and high flow velocities measurements. The implementation of this research will help to develop ultrasound flow vector imaging (low frequency and high frequency), especially for high-resolution applications and pre-clinical studies.
2025 Outstanding Teaching Award, National Cheng Kung University, Taiwan
2024 Outstanding Poster Paper Award, Global Conference on Biomedical Engineering (GCBME 2024), Tainan, Taiwan.
2024 Outstanding Poster Paper Award, Global Conference on Biomedical Engineering (GCBME 2024), Tainan, Taiwan.
2024 Outstanding Poster Paper Award, Global Conference on Biomedical Engineering (GCBME 2024), Tainan, Taiwan.
2024 Excellent Poster Paper Award, Global Conference on Biomedical Engineering (GCBME 2024), Tainan, Taiwan.
2024 Excellent Poster Paper Award, Global Conference on Biomedical Engineering (GCBME 2024), Tainan, Taiwan.
2024 Excellent Oral Paper Award, Global Conference on Biomedical Engineering (GCBME 2024), Tainan, Taiwan.
2024 Outstanding Oral Paper Award, Global Conference on Biomedical Engineering (GCBME 2024), Tainan, Taiwan.
2024 IEEE TMI Distinguished Reviewer, Silver Level Award
2023 IEEE Tainan Section Outstanding Technical Achievement Award
2023 Ministry of Science and Technology Future Tech Award, Taiwan
2022 Ministry of Science and Technology Future Tech Award, Taiwan
2021 Excellent Research Award, Engineering College, National Cheng Kung University, Taiwan
2021 Best paper award, 2021 International Forum on Medical Imaging in Asia (IFMIA), Taiwan
2020 Silver Medal Award, Point-of-Care Ultrasound Innovation Competition, Taiwan Society of Ultrasound in Medicine, Taiwan.
2020 Honorable Mention Award, Point-of-Care Ultrasound Innovation Competition, Taiwan Society of Ultrasound in Medicine, Taiwan.
2020 Ministry of Science and Technology Future Tech Award, Taiwan
2019 Best Conference Paper Award, 2019 IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, Okinawa, Japan.
2018 Best Oral Presentation Award, 3rd Global Conference on Biomedical Engineering (GCBME 2018), Taoyuan, Taiwan.
2017 The Best Annual Paper Award, Journal of Medical and Biological Engineering (SCI)
2017 Best Presentation Award, 2017 Engineering Medical Innovation Global Competition, Taipei, Taiwan
2016 Rising Star Award, College of Engineering, National Cheng Kung University, Taiwan
2015 Certificate High Distinction, Symposium of Annual Conference of the Biomedical Engineering Society Poster Paper Competition, Taiwan
2015 Distinction Certificate, Young Scholar Innovation Competition, Comprehensive University System of Taiwan
2015 Ministry of Science and Technology Research Project for Excellent Young Scholars (2015–2018)
2014 Best paper award, 1st Global Conference on Biomedical Engineering (GCBME 2014) / 9th Asian-Pacific Conference on Medical and Biological Engineering, Taiwan.
2014 Honorable Mention Award, 1st Global Conference on Biomedical Engineering (GCBME 2014) / 9th Asian-Pacific Conference on Medical and Biological Engineering, Taiwan.
2014 Best Potentiality Award, Biomedical Engineering Innovation Competition, Taiwan
2013 Certificate High Distinction, Symposium of Annual Conference of the Biomedical Engineering Society Oral Paper Competition, Taiwan
2013 Certificate High Distinction, Symposium of Annual Conference of the Biomedical Engineering Society Poster Paper Competition, Taiwan
2013 Honorable Mention Award, Symposium of Annual Conference of the Biomedical Engineering Society Poster Paper Competition, Taiwan
2012 Ministry of Science and Technology Research Project for Excellent Young Scholars (2012–2015)
2012 JMBE Annual Excellent Paper Award, Taiwan
2012 Certificate High Distinction, Symposium of Annual Conference of the Biomedical Engineering Society Oral Paper Competition, Taiwan
2012 Honorable Mention Award, Symposium of Annual Conference of the Biomedical Engineering Society Oral Paper Competition, Taiwan
2012 Honorable Mention Award, Symposium of Annual Conference of the Biomedical Engineering Society Oral Paper Competition, Taiwan
2012 The Best Advisor Award, Creative Design and Implementation Competition on Biomedical Engineering, Taiwan
2012 Honorable Mention Award, Creative Design and Implementation Competition on Biomedical Engineering, Taiwan
2011 Outstanding research Award, Fu Jen Catholic University
2011 Honorable Mention Award, Symposium of Annual Conference of the Biomedical Engineering Society Oral Paper Competition, Taiwan
2010 Certificate High Distinction, Symposium of Annual Conference of the Biomedical Engineering Society Oral Paper Competition, Taiwan
2010 Honorable Mention Award, Symposium of Annual Conference of the Biomedical Engineering Society Oral Paper Competition, Taiwan
2010 Certificate High Distinction, Symposium of Annual Conference of the Biomedical Engineering Society Poster Paper Competition, Taiwan
2009 Outstanding research Award, Fu Jen Catholic University
2009 Honorable Mention Award, Symposium of Annual Conference of the Biomedical Engineering Society Student Paper Competition, Taiwan
2008 Outstanding paper Award, 13th International Conference on BioMedical Engineering, Singapore
Academic Activities
2025 Doctorate Examination Committee, Monash University, Australia
2025 Organizing Committee, 16th International Conference on Ultrasound Engineering for Biomedical Applications (IC-UEBA 2025), Daegu, South Korea
2025 Session Chair, 16th International Conference on Ultrasound Engineering for Biomedical Applications (IC-UEBA 2025), Daegu, South Korea
2024 Plenary Speech Chair, Global Conference on Biomedical Engineering (GCBME 2024), Tainan, Taiwan.
2024 Conference Vice Chair, Global Conference on Biomedical Engineering (GCBME 2024), Tainan, Taiwan.
2024 Session Chair, 2024 IEEE UFFC-JS, Taipei, Taiwan
2023 Oral Presentation Judge, 2023 Annual Symposium of Taiwanese Society of Biomedical Engineering, Taiwan
2023 Session Chair, 2023 Annual Symposium of Taiwanese Societhy of Biomedical Engineering, Taiwan
2023 Advisory Committee, 2023 Annual Symposium of Taiwanese Society of Biomedical Engineering, Taiwan
2023 Technical Program Committee, 2023 Annual Symposium of Taiwanese Society of Biomedical Engineering, Taiwan
2023 Session Chair, 2023 IEEE International Ultrasonics Symposium, Montreal, Canada
2023 Project reviewer, PratikSha Trust Extra-Mural Support for Transformational Aging Brain Research (EMSTAR), India
2022 Session Chair, Global Conference on Biomedical Engineering (GCBME 2022), Taipei, Taiwan.
2022 Organizing Committee, Global Conference on Biomedical Engineering (GCBME 2022), Taipei, Taiwan.
2022 Project review committee, Dutch Research Council, Netherlands
2022 Session Chair, 2022 IEEE International Ultrasonics Symposium, Venice, Italy
2022 International Reviewers, Russian Science Foundation, Russian
2022 Expert Committee, Canada Foundation for Innovation’s 2023 Innovation Fund competition, Canada
2022 Project review committee, European Science Foundation
2022 Session Chair, 9th World Congress of Biomechanics, Taipei, Taiwan
2022 Session Chair, IUPESM World Congress on Medical Physics and Biomedical Engineering, Singapore
2022 Special Issue Editor, Piezoelectric Ultrasound Transducer for Biomedical Applications, Micromachines
2022 Reviewer, IFMBE Toh Siew Lok BME Student Design Award Competition, Singapore
2021 Session Chair, 2021 IEEE International Ultrasonics Symposium, Xi’na, China
2020 International Technical Committee, Biomedical Engineering Conference BME2020: Fighting. COVID-19 and Future Pandemics with Innovation & Technology, Hong Kong
2020 Session Chair, 2020 IEEE International Ultrasonics Symposium, Las Vegas, USA
2020 Program Chair, IFMIA 2020 International Forum on Medical Imaging in Asia, Taiwan
2020 Social Program Chair, the 4th Global Conference of Biomedical Engineering & Annual Meeting of TSBME, Taipei, Taiwan
2020 Session Chair, the 11th Asian Pacific Conference on Medical and Biological Engineering, Okayama, Japan
2020 International Organizing Committee, the 11th Asian Pacific Conference on Medical and Biological Engineering, Okayama, Japan
2019 Session Chair, the 9th WACBE World Congress on Bioengineering, Taipei, Taiwan
2019 Social Program Chair, the 9th WACBE World Congress on Bioengineering, Taipei, Taiwan
2019 Session Chair, Future Trends in Biomedical and health Informatics & Cybersecurity in Medical. Devices conference, Taipei, Taiwan
2018 Poster Judge, 2018 Global Conference of Biomedical Engineering, Taoyuan, Taiwan
2018 Judge, Journal of Medical and Biological Engineering, Best Annual Paper Ward Competition, Taiwan
2018 Poster Session Chair, IEEE International Ultrasonics Symposium Proceedings, Kobe, Japan
2018 Judge for the Student Poster Competition, The 3rd Global Conference on Biomedical Engineering, Taiwan
2018 Chairman, Seminar on Southeast Asia Medical Device Regulation and Development, Taiwan
2017 Session Chair, International Congress of Ultrasound, Honolulu, USA
2017 Scientific Committee, the 16th World Federation for Ultrasound in Medicine and Biology. Congress, Taipei, Taiwan
2017 Session Chair, International Symposium of Frontier Acoustics, Shenzhen, China
2017 Session Chair, The Future Trend of Digital Health, Tainan, Taiwan
2017 Judge, 2017 Engineering Medical Innovation Global Competition, Taipei, Taiwan
2017 Session Chair, 2017 International Conference on Future Healthcare and Economic Development in Southeast ASIA, Taiwan
2017 Moderator, 2017 International conference on regulatory approaches for fostering innovation in drug and medical devices, Taiwan
2017 Supervisor, Teachers’ Association of National Cheng Kung University, Taiwan
2017 External Examiner of the Hong Kong Polytechnic University, Hong Kong.
2017 Session Chair, Fostering Innovation in Drugs and Medical Devices, Taiwan
2016 Session Chair, Focus and Enhance: Start of Interventional & Therapeutic Ultrasound, Taiwan
2016 Session Chair, Biomedical Engineering Ecosystem Symposium, Taiwan
2016 Committee of BME Innovation Competition, Taiwan
2016 Program Committee, International Forum on Medical Imaging in Asia, Japan
2016 Committee of Medical Device Registration, Taiwan Food and Drug Administration, Taiwan
2015 Committee of Ph.D Degree Defense, Hong Kong University, Hong Kong
2015 Session Chair, 12th Western Pacific Acoustic Conference, Singapore
2015 Audio-Visual Chair, IEEE International Ultrasonics Symposium, Taiwan
2015 Session Chair, 17th International Conference on Biomedical Engineering, Stockholm, Sweden
2015Session Co-Chair, IFMBE Young Investigator Competition, World Congress on Medical Physics& Biomedical Engineering, Toronto
2015 IFMBE Asia-Pacific Research Networking Fellowship, Taiwan-Japan-Canada
2015 Session Chair, Joint Conference of IWAIT&IFMIA, Taiwan
2015 Supervisor. Taiwanese Society of Biomedical Engineering
2015 Reviewer, Symposium on Engineering, Medicine and Biology Applications, Taiwan
2014 Lead Guest Editor, Journal of Electrical and Computer Engineering
2014 Session Chair, 2014 1st Global Conference on Biomedical Engineering (GCBME 2014) / 9th Asian-Pacific Conference on Medical and Biological Engineering, Taiwan.
2014 Reviewer, the 3rd International Conference on Biomedical Engineering and Biotechnology, China
2014 Reviewer, Biomedical Engineering Innovation Competition of Chung Yuan Christian University, Taiwan
2014 Committee of BME Innovation Competition, Taiwan
2014 Committee of the 2014 1st Global Conference on Biomedical Engineering (GCBME 2014) / 9th Asian-Pacific Conference on Medical and Biological Engineering, Taiwan.
2014 Reviewer, 2014 Symposium on Engineering Medicine and Biology Applications, Taiwan
2013 Session Chair, Taiwan-India Joint Symposium on Medical Device Innovation, Taiwan
2013 Committee of the 5th Asian Conference on Ultrasound Contrast Imaging, Taiwan
2013 Committee of the 2013 International Conference on Biomedical Ultrasound, Taiwan
2013 Session Chair, Symposium of Annual Conference of the Biomedical Engineering Society, Taiwan
2013~2015: Vice Secretary General, Taiwanese Society of Biomedical Engineering
2012~2015: Editor, Taiwanese Society of Biomedical Engineering E-Newsletter
2013 Reviewer, 2013 Symposium of Annual Conference of the Biomedical Engineering Society, Taiwan
2013 Reviewer, IEEE Biomedical Circuits & Systems Conference, Netherlands
2013 Session Chair, Symposium on Engineering Medicine and Biology Applications, Taiwan
2012 Session Chair, Symposium of Annual Conference of the Biomedical Engineering Society, Taiwan
2012 Reviewer, 2012 Symposium of Annual Conference of the Biomedical Engineering Society, Taiwan
2011 Session Chair, 5th WACBE World Congress on Bioengineering, Taiwan
2011 Committee of Poster Paper Competition, Symposium of Annual Conference of the Biomedical Engineering Society, Taiwan
2010 Session Chair, Symposium of Annual Conference of the Biomedical Engineering Society, Taiwan
2010 Reviewer, National Symposium on Telecommunications, Taiwan
2009 Reviewer, National Symposium on Telecommunications, Taiwan
2008 Reviewer, Symposium of Annual Conference of the Biomedical Engineering Society, Taiwan
2008 Committee of Poster Paper Competition, Symposium of Annual Conference of the Biomedical
2003~2007: Ph.D., Biomedical Engineering, Chung Yuan Christian University, Taiwan
2002~2003: M.S., Biomedical Engineering, Chung Yuan Christian University, Taiwan
1998~2002: B.S., Biomedical Engineering, Chung Yuan Christian University, Taiwan
Job Description
applying high frequency ultrasound imaging for small animal imaging.
Preferred Intern Education Level
Master or PhD students
Skill sets or Qualities
Skill of using Matlab
deep learning technology