보안접속
 
 
심학준 의학/공학
소속    : 의료영상AI연구센터 주관심분야   : Medical Imaging (CT/MR/Angio/UL) , Computer Vision , Deep Learning 이메일    : hackjoon.shim@kr.medical.canon
학력   : (1) Ph. D. (Mar. 1995 ~ Jul. 1998, May 2003 ~ Feb. 2007) - School of Electrical Engineering and Computer Science, Seoul National University (SNU) - Computer Vision Group in Signal Processing Lab. of Prof. Lee, Sang Uk - Co-advised by Prof. Lee, Sang Uk, Prof. Lee, Kyoung Mu, and Prof. Yun, Il Dong - Application of vision techniques, such as, particle filtering, level sets and graph-cuts, to segmentation tasks in medical images - Thesis: Segmentation of vascular structures based on adaptive tracking and new seed detection (2) M. S. (Mar. 1993 ~ Feb. 1995) - Dep. of Control and Instrumentation Engineering, Seoul National University - Computer Vision Group in Signal Processing Lab. of Prof. Lee, Sang Uk - Approximation of 3-D range data to non-uniform rational B-spline surface and then to computer aided design (CAD) format - Thesis: Conversion of range data into CAD format (2) Mar. 1988 ~ Feb. 1993 - B. S., Dep. of Control and Instrumentation Engineering, Seoul National University 경력   : (1) Canon (formerly Toshiba) Medical Systems Korea Co. (May. 2011 ~ present) - Head of MiAiRC (Medical Imaging AI Research Center) . Fostering brand recognition of Toshiba by support of customers’ researches using Toshiba medical imaging machines (35 SCI journal papers published by customers since 2012, six of which have included myself as a co-author) . Functioning as a sales strategy with knowledge on products, applications, and underlying technical principles . Managing IT systems and establishing a CRM (customer relationship management) system - Director of Market Development Division (Jan. 2013 ~ Dec. 2014) . Business management for CT (computed tomography), MR (Magnetic Resonance), and X-ray modalities with Sales of 18.6M USD in FY2013 (13.7M/CT + 1.96M/MR + 5.64M/XR) . Management of human resources of thirteen persons - Team leader of CT Business Unit (Jan. 2014 ~ Dec. 2014) . Strategic marketing, positioning, pricing, and forecasting of CT business . CT BU occupied 63% (= 21B / 33B KRW) of the company revenue (2) Seoul National University (Nov. 2008 ~ Apr. 2011) - Contract Professor, School of Electrical Engineering, - Medical image analysis, computer vision, embedded programming (3) University of Pittsburgh Medical Center, USA (Mar. 2007 ~ Nov. 2008) - Research Associate, Dep. of Radiology - Development and implementation of image processing algorithms for clinical studies of radiologists (4) Daewoo Elec. Co (Aug. 1998 ~ Sep. 2002) - Research engineer for development of software in digital TV 논문   : [1] B. H. Jeon, Y. Jang, Hackjoon Shim*, H. J. Chang, “Identification of coronary arteries in CT images by Bayesian analysis of geometric relations among anatomical landmarks,” Patter Recognition, (IF: 5.898) Jul. 2019. [2] Y. Hong, H. B. Park*, B. K. Lee, Y. Jang, S. Jung, B. Jeon, S. Ha, Hackjoon Shim, Y. Jang, H. J. Chang, “Clinical feasibility of catheter-directed selective intra-coronary CTA using an extremely low dose of iodine in patients with CAD,” European Radiology, (IF: 3.967) Nov. 2018. [3] B. H. Jeon, Y. Hong, D. Han*, Y. Jang, S. Jung, Y. T. Hong, S. Ha, Hackjoon Shim, H. J. Chang, “Maximum a posteriori estimation method for aorta localization and coronary seed identification,” Patter Recognition, (IF: 4.582) Aug. 2017. [4] C. H. Jo, J. W. Chai, E. Jeong, S. Oh, J. S. Shin, Hackjoon Shim, and K. S. Yoon*, “Intra-articular injection of mesenchymal stem cells for the treatment of osteoarthristis of the knee: a 2-year follow-up study,” The American Journal of Sports Medicine, (IF: 5.673) Jul. 2017. [5] S. Y. Chae, S. Suh*, I. Ryoo, A. Park, K. J. Noh, Hackjoon Shim, and H. Y. Seol, “A semi-automated volumetric software for segmentation and perfusion parameter quantification of brain tumors using 320-row MDCT – a validation study,” Neuroradiology, (IF: 2.093) Mar. 2017. [6] D. Han, B. H. Jeon, Y. T. Hong, Hackjoon Shim*, H. J. Chang, “Automatic coronary atery segmentation using active search for branches and seemingly disconnected vessel segments from coronary CT angiography,” PLoS ONE (IF: 3.057), Aug. 2016. [7] Y. Jang, H. Y. Jung*, Y. Hong, I. Cho, Hackjoon Shim, H. J. Chang, “Geodesic distance algorithm for extracting the ascending aorta from 3D CT images,” Computational and Mathematical Methods in Medicine (IF: 0.77), pp. 1-7, Jan. 2016. [8] H. Chung, B. Jeon, H. J. Chang*, D. Han, Hackjoon Shim, I. J. Cho, C. Y. Shim, G. R. Hong, J. S. Kim, Y. Jang, and N. Chung, “Predicting Peri-Device Leakage of Left Atrial Appendage Device Closure Using Novel Three-Dimensional Geometric CT Analysis,” Journal of cardiovascular ultrasound, (IF: 0.082), Vol. 23, No. 4, pp. 211-218, Dec. 2015. [9] H. Lee, Hackjoon Shim*, H. J. Chang, “Intensity-vesselness Gaussian mixture model (IVGMM) for 2D+t segmentation of coronary arteries for X-ray angiography image sequences,” Journal of X-Ray Science and Technology (IF: 1.40), Vol. 23, No. 5, pp. 579-591, Sep. 2015. [10] Y. Jang, I. Cho, B. W.O. Hartaigh, S. I. Park, Y. Hong, S. Shim, S. Ha, B. Jeon, Hackjoon Shim, J. K. Min, H. J. Chang, Y. Jang, N. Chung, “Viability assessment after conventional coronary angiography using a novel cardiovascular interventional therapeutic CT (CVIT-CT) system: comparison with gross morphology in a sub-acute infarct swine model,” Journal of Cardiovascular Computed Tomography (IF: 2.29), Vol. 9, No. 4, May 2015. [11] Y. Hong, S. Shin*, H. B. Park, B. K. Lee, R. Arsanjani, B. OHartaigh, S. Ha, Y. Jang, B. Jeon, S. Jung, S. I. Park, J. M. Sung, Hackjoon Shim, H. J. Chang, "Feasibility of selective catheter-directed CCTA using ultra-low-dose intracoronary contrast injection in a swine model," Investigative Radiology (IF: 4.44), Vol. 50, No. 7, Mar. 2015. [12] J. Lim, E. A. Park*, W. Lee, Hackjoon Shim, and J. W. Chung, “Image quality and radiation reduction of 320-row area dtector CT coronary agniography with optimal tube voltage selection and an automatic exposure control system: comparison with BMI-adapted protocol,” International Journal of Cardiovascular Imaging (IF: 1.81), Vol. 31, No. S1, Jan., 2015 [13] J. H. Yoon, J. M. Lee*, B. Y. Hur, J. Baek, Hackjoon Shim, J. K. Han, and B. I. Choi, “Influence of AIDR-3D algorithm on the detectability of low-contrast lesions and radiation dose repeatability in abdominal CT: a phantom study,” Abdominal Imaging (IF: 1.63), Vol. 40, No. 6, Dec, 2014. [14] D. Han, N. T. Doan, Hackjoon Shim*, B. Jeon, H. Lee, Y. Hong, H. J. Chang, "A fast seed detection using local geometrical feature for automatic tracking of coronary arteries in CTA," Computer Methods and Programs in Biomedicine (IF: 1.90), Vol. 117, No. 2, Nov., 2014. [15] C. H. Jo, Y. G. Lee, W. H. Shin, H. Kim, J. W. Chai, E. C. Jeong, J. E. Kim, Hackjoon Shim, J. Shim, I. S. Shin, J. C. Ra, S. Oh, K. S. Yoon*, "Intra-articular injection of mesenchymal stem cells for the treatment of osteoarthritis of the knee: a proof-of-concept clinical trial," Stem Cells (IF: 7.7), Jan. 2014. [16] K. Kwak, U, Yoon, D. K. Lee, G. H. Kim, S. W. Seo, D. L. Na, Hackjoon Shim, J. M. Lee, “Fully-automated approach to hippocampus segmentation using a graph-cuts algorithm combined with atlas-based segmentation and morphological opening,” Magnetic Resonance Imaging (IP:1.99), May 2013. [17] K. T. Bae, S. H. Park, Hackjoon Shim, C. H. Moon, J. H. Kim, E. M. Nemoto, “Application of compatible dual-echo arteriovenography in stroke: preliminary observations,” Imaging Systems and Technology (IF:0.639), May 2013. [18] I. Cho, J. Shim, H.J. Chang*, J. M. Sung, Y. Hong, Hackjoon Shim, Y. J. Kim, B. W. Choi, J. K. Min, J.Y. Kim, C.Y. Shim, G.R. Hong, and N. Chung, “Prognostic value of MDCTA in relation to exercise ECG in patients with suspected CAD,” Journal of American College of Cardiology (IF:14.2), Oct. 2012. [19] R. Yoo, E.A. Park*, W. Lee, Hackjoon Shim, Y. K. Kim, J. W. Chung, and J. H. Park, “Image quality of AIDR 3D of coronary CT angiography of 640-slice CT: Comparison with filtered back-projection,” International Journal of Cardiovascular Imaging (IF: 2.539), Sep. 2012. [20] K.W. Kang, H.J. Chang*, Hackjoon Shim, Y.J. Kim, B.W. Choi, W.I. Yang, J.Y. Shim, J. Ha, and N. Chung, “Feasibility of an automatic computer-assisted algorithm for the detection of significant coronary artery disease in patients presenting with acute chest pain,” European Journal of Radiology (IF: 2.941) Apr. 2012. [21] S. Lee, S. H. Park, Hackjoon Shim, I.D. Yun*, S. U. Lee, “Optimization of local shape and appearance probilities for segmentation of knee cartilage in 3-D MR images,” Computer Vision and Image Understanding (IF: 2.404), Dec. 2011. [22] S. Hong, Hackjoon Shim*, Y. Chung, "Tracking of mitochondrial transports using a particle filtering method with a spatial constraint," Optical Engineering (IF: 0.815) Sep. 2011. [23] K. J. Kim, K. H. Lee, B. Kim, I. D. Yun, S. U. Lee, and Hackjoon Shim*, “JPEG2000 2D and 3D reversible compressions of thin-section chest CT images: Improving compressibility by increasing data redundancy outside the body region,”, Radiology (IF: 6.341), 2011. [24] S. H. Park, Hackjoon Shim, J. H. Kim, and K. T. Bae*, “Quantitative evaluation of K-space reordering schemes for compatible dual echo arteriovenography (CODEA),” Magnetic Resonance in Medicine (IF: 3.225), May, 2010. [25] K. T. Bae*, Hackjoon Shim, C. Tao, S. Chang, J. H. Wang, R. Boudreau, "Intra- and Inter-observer Reproducibility of Semi-automated Segmentation and Volume Measurement of Knee Cartilage from OAI MR Images," Osteoarthritis and Cartilage (IF: 3.888) Dec., 2009. [26] Hackjoon Shim, S. Chang, C. Tao, J. H. Wang, D. Kaya, and K. T. Bae*, "Semi-automated Segmentation of Kidney from High-Resolution MDCT Images Using a Graph-Cuts Technique," Journal of Computer Assisted Tomography (IF:1.383), Nov., 2009. [27] Hackjoon Shim, S. Chang, C. Tao, J. H. Wang, C. K. Kwoh, and K. T. Bae*, "Knee cartilage: efficient and reproducible segmentation of high-spatial-resolution MR images with the semiautomated graph-cuts alogrithm method," Radiology(IF:6.341), May 2009. [28] Hackjoon Shim, I. D. Yun*, and S. U. Lee, “Robust Segmentation of Cerebral Arterial Segments by a Sequential Monte-Carlo Method: Particle Filtering,” Computer Methods and Programs in Biomedicine (IF: 1.144), 2006. [28] Hackjoon Shim, I. D. Yun*, K. M. Lee, and S. U. Lee, "Partition-Based Extraction of cerebral arteries from CTA with emphasis on adaptive tracking", Information Processing in Medical Imaging (IPMI) (IF: 0.40) Jul. 2005
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