Updated Apr 1, 2017
CURRICULUM VITAE Baek Hwan Cho, Ph.D. Contact Information POSITION TITLE
Email: baekhwan.cho@samsung.com Assistant Professor Smart Healthcare Device Research Center (스마트 헬스케어•의료기기 융합연구센터) Samsung Medical Center (삼성서울병원) Seoul, Korea EDUCATION/TRAINING
INSTITUTION AND LOCATION DEGREE YEAR(s) FIELD OF STUDY Hanyang University, Seoul, Korea B.A. 1999 Electronic Engineering Hanyang University, Seoul, Korea M.S. 2001 Biomedical Engineering Hanyang University, Seoul, Korea Ph.D. 2007 Biomedical Engineering
Positions and employment
2017- Assistant Professor, Samsung Medical Center, Seoul, Korea 2012-2016 Research Staff Member, Samsung Advanced Institute of Technology, Samsung Elec., Suwon, Korea 2009-2012 Postdoctoral Researcher, Lane Center for Computational Biology, Carnegie Mellon University, Pittsburgh, PA, USA 2007-2008 Postdoctoral Researcher, Dept. of Biomedical Engineering, Hanyang University, Seoul, Korea 2005-2006 Visiting Scholar, Dept. of Computer Science, University of Iowa, IA, USA 2001-2002 Chief Researcher, Psychotech Co., Ltd., Seoul, Korea
Research experience
1. In Samsung Medical Center (2017 ~ ) ① Medical Data Analysis with Deep Learning - Involved in seizure detection with automatic movie analysis and EEG analysis via Deep Learning - Involved in ECoG data anlaysis with Deep Learning for BCI of monkeys - Involved in medical image (such as MRI, CT, and pathological images) analysis with Deep Learning - Interested in EMR data analysis with Deep Learning for prognostic studies - Interested in NGS data analysis with Deep Learning for prognostic risk factors 2. In Samsung Advanced Institute of Technology (2012 ~ 2016) ② Computer Aided Diagnosis for breast ultrasound images using computer vision - Involved in developing SW algorithms for tumor detection, segmentation, and classification using various computer vision techniques ③ Medical Data Analysis with Deep Learning - Involved in planning a new research project for wellness index via various biomedical signals and deep learning ④ Object (Car, Pedestrian, etc) detection and scene labeling for autonomous driving - Involved in developing object detection model using Deep Neural Networks - Involved in designing a demo car system for autonomous driving (HW/SW system) ⑤ Gesture recognition using the Dynamic Vision Sensor (DVS) and Deep Learning - Involved in developing gesture recognition SW package using DVS and Deep Learning algorithms 3. In Carnegie Mellon University, Pittsburgh, PA (2009 ~ 2012) ① Automatic protein location pattern analysis in the activated T cell - Involved in developing T cell segmentation, feature extraction, and quantitative analysis of clustering results ② Automated unmixing of protein subcellular patterns - Involved in developing an cell segmentation, feature extraction including SIFT features, and various unmixing methods using LDA ③ PSLID-OMERO project - Involved in plugging automatic protein location pattern analysis methods (from PSLID) to an open source server/client software (OMERO) 4. In Hanyang University, Seoul, Korea ① Computer-Aided Diagnosis in Digital Mammogram (1999 ~ 2000, 2006) - Involved in developing a Computer-Aided Diagnosis System in Digital Mammogram - Involved in constructing the Korean Digitized Mammogram Database ② Rehabilitation for Attention Deficits using Virtual Reality and Neurofeedback (2000~ 2001) - Involved in developing system of Virtual Reality and Neurofeedback for rehabilitation and assessment of inattentive children ③ Mobile Biosignal Acquisition and Analysis (2002~2003) - Involved in development of mobile body fat measurement system using PDA - Involved in development of mobile Electrocardiography and automatic diagnosis algorithm using PDA - Involved in development of mobile Photo-Plethysmography and Electrocardiography using PDA ④ Hearing Science and Hearing Aid (2002~2003) - Involved in development of Digital Hearing Aid algorithms - Involved in development of audiometry for assessment of hearing impairment - Involved in research of mechanism of hearing impairment using auditory functional MRI ⑤ Medical Informatics for medical applications (2003 ~ present) - Involved in machine learning application for prediction and risk factor analysis of diabetic complications - Involved in Biosignal Management System using Server/Client programming and data warehousing - Involved in classification of Obsessive Compulsive Disorder subtype using various Data Mining techniques - Involved in estimating of blood pressure using Pulse Transit Time and Artificial Neural Network 5. In Psychotech Co., Ltd., Seoul, Korea (Incubated Startup from Hanyang Univ.) ① Neurofeedback system (2001 ~ 2002) - Involved in developing a Neurofeedback system with full 3D game ② Attention Enhancement System (2001 ~ 2002) - Involved in developing an Attention Enhancement System for assessing & training children with behavioral problems
Programming languages available
- C/C++ (Windows/Linux) - Python - Matlab - Java - HTML with Javascript and Django - R
Honors & Awards
2008 Postdoctoral fellowship, Korea Research Foundation Grant 2003 Best Researcher Award, Advanced Research Center for Recovery of Human Sensibility
Patents (Registered)
2018 System and method for detecting region of interest (US, 9898819) 2017 Apparatus and method for computer-aided diagnosis (US, 9639929) 2017 Apparatus and method for lesion detection (US, 9532762) 2017 Apparatus and method for lesion segmentation and detection in medical image (US, 9536316) 2016 Apparatus and method for combining three dimensional ultrasound images (US, 9504450) 2016 Apparatus and method for detecting lesion (US, 9305349) 2004 System and method for enhancing attention on internet (Korea, 1004297060000)
Patents (Applied)
2018 Stereo camera-based autonomous driving method and apparatus (US 20180052457) 2017 Method and apparatus for acquiring image disparity (US, 20170223332) 2017 Method and apparatus for processing binocular disparity image (US, 20170223333) 2017 Event signal processing method and apparatus (US, 20170213077) 2017 Method and apparatus for detecting error in gesture recognition (US, 20170124410) 2016 User interface system and method for enabling mark-based interaction for images (US, 201603334964) 2016 Device and method for detecting position of object (US, 20160123721) 2015 Apparatus and method for sampling images (US, 2015365566) 2015 Apparatus and method for visualizing anatomical elements in a medical image (US, 20150265251) 2014 Apparatus and method for analyzing lesions in medical image (US, 20140037159) 2006 Method and apparatus for portable spirometer which can measure lung capacity and respiration gas (Korea)
Peer-reviewed publications
1. International Journals ① Jeyeon Lee, Hoseok Choi, Dong-Hyun Baek, Baek Hwan Cho, Kyoung-ha Ahn, Sang Hoon Lee, In Young Kim, Dong Pyo Jang, and Kyoung-Min Lee: Decoding saccadic directions using epidural ECoG in non-human primates. Journal of Korean Midical Science, 32(8) 1243-1250 (2017) ② Kole T. Roybal, Taráz E. Buck, Xiongtao Ruan, Baek Hwan Cho, Danielle J. Clark, Rachel Ambler, Helen M. Tunbridge, Jianwei Zhang, Paul Verkade, Christoph Wülfing, Robert F. Murphy: Computational spatiotemporal analysis identifies WAVE2 and cofilin as joint regulators of costimulation-mediated T cell actin dynamics. Science Signaling, 9 (424), rs3. (2016) ③ Dohyun Kim, Jongshill Lee, Hoon Ki Park, Dong Pyo Jang, Soohwa Song, Baek Hwan Cho, Yoo-Suk Jung, Rae-Woong Park, Nam-Seok Joo, In Young Kim. Comparing the standards of one metabolic equivalent of task in accurately estimating physical activity energy expenditure based on acceleration, Journal of Sports Sciences, 34. (2016) ④ Sung Hoon Yoon, Kyoung Won Nam, Sunhyun Yook, Baek Hwan Cho, Dong Pyo Jang, Sung Hwa Hong, In Young Kim, A trainable hearing aide algorithm reflecting individual preferences for degree of noise-suppression, input sound level, and listening situation, Clinical and Experimental Otorhinolaryngology. (2016) ⑤ Baek Hwan Cho, Ivan Cao-Berg, Jennifer A. Bakal, and Robert F. Murphy. OMERO. searcher: content-based image search for microscope images, Nature Methods, 9 (7), 633-634 (2012) ⑥ Baek Hwan Cho, Hwanjo Yu, Jongshill Lee, Youngjoon Chee, In Young Kim, Sun I. Kim: Nonlinear support vector machine visualization for risk factor analysis using nomograms and Localized Radial Basis Function kernels. IEEE trans. on Information Technology in Biomedicine , 12(2) 247- 256 (2008) ⑦ Baek Hwan Cho, Hwanjo Yu, Kwang Won Kim, Tae Hyun Kim, In Young Kim, Sun I. Kim: Application of irregular and unbalanced data to predict diabetic nephropathy using visualization and feature selection methods. Artificial Intelligence in Medicine, 42(1) 37-53 (2008) ⑧ Jong Shill Lee, Baek Hwan Cho, Young Joon Chee, In Young Kim, Sun I. Kim: New Approach for personal Identification based on dVCG. IEICE Trans. on Fundamentals of Electronics, Communications and Computer Sciences, E91-D(4) 1201-1205 (2008) ⑨ Uicheul Yoon, Jong-Min Lee, Kiho Im, Yong-Wook Shin, Baek Hwan Cho, In Young Kim, Jun Soo Kwon, Sun I. Kim: Pattern classification using principal components of cortical thickness and its discriminative pattern in schizophrenia. Neuroimage, 34(4) 1405-1415 (2007) ⑩ Baek Hwan Cho, Saebyul Kim, Dong Ik Shin, Jang Han Lee, Sang Min Lee, In Young Kim, Sun I. Kim: Neurofeedback Training with Virtual Reality for Inattention and Impulsiveness. Cyberpsychology & Behavior, 7(5) 519-526 (2004) ⑪ Baek Hwan Cho, Jeonghun Ku, Dong Pyo Jang, Saebyul Kim, Yong Hee Lee, In Young Kim, Jang Han Lee, Sun I. Kim: The Effect of Virtual Reality Cognitive Training for Attention Enhancement. Cyberpsychology & Behavior, 5(2) 129-137 (2002)
2. Domestic Journals (written in Korean) ① Kwan Soo Park, Baek Hwan Cho, Do Hoon Lee, Su Hwa Song, Jong Shill Lee, Young Joon Chee, In Young Kim, Sun I. Kim. Hierarchical Classification of ECG Beat Using Higher Order Statistics and Hermite Model. Journal of Korean Society of Medical Informatic, 15(1) 117-131 (2009) ② Hong Sic Kim, Woo Young Jang, Kun Soo Shin, Baek Hwan Cho, In Young Kim, Sun I. Kim, Development and Evaluation of skin Hydration Measure System using the Suscepance Method. Journal of Biomedical Engineering Research, 29(6) 502-511 (2008) ③ Do Hoon Lee, Baek Hwan Cho, Kwan Soo Park, Su Hwa Song, Jong Shill Lee, Young Joon Chee, In Young Kim, Sun I. Kim. Detection of Abnormal Heartbeat using Hierarchical Qassification in ECG. Journal of Biomedical Engineering Research, 29(6) 466-476 (2008) ④ Hyoung Sik Choi, Yong Ho Cho, Baek Hwan Cho, Woo Kyoung Moon, Jung Gi Im, In Young Kim, Sun I. Kim: A study on the multi-view based computer aided diagnosis in digital mammography. Journal of Biomedical Engineering Research, 28(1) 162-168 (2007) ⑤ Joung Hoon Kang, Baek Hwan Cho, Jong Shill Lee, Youngjoon Chee, In Young Kim, Sun I. Kim: A study on accelerometer based artifact reduction in photoplethysmography signal. Journal of Biomedical Engineering Research, 28(3) 369-376 (2007) ⑥ Baek Hwan Cho, Jong Shill Lee, Young Joon Chee, Kwang Won Kim, In Young Kim, Sun I. Kim: Prediction of diabetic nephropathy from diabetes dataset using feature selection methods and SVM learning. Journal of Biomedical Engineering Research. Journal of Biomedical Engineering Research, 28(3) 355-362 (2007) ⑦ E.K. Park, B.H.Cho, S.H. Park, J.Y. Lee, H.S. Hwang, H.K. Park, J.S. Lee, I.Y. Kim, Sun I. Kim: A study on the estimation of continuous blood pressure using PTT and biometric parameters. . Journal of Biomedical Engineering Research, 27(1) 1-5 (2006) ⑧ Soo Mi Lim, Baek Hwan Cho, Kyung Jin Lee, So Young Yoo, Jun Soo Kwon, In Young Kim, Sun I. Kim: The study on classification method of Obsessive-Compulsive Disorder with schizotypal trait using frontal-lobe function test. Journal of Korean Society Medical Informatics, 12(2) (2006) ⑨ S.Y. Kwon, B.H. Cho, J.H. Woo, S.M. Lee, I.Y. Kim, S.I. Kim: PDA-based mobile body fat acquisition and diagnosis system. J of Env. Ind. Med, 12, 9-16 (2003) ⑩ J.H.Woo, B.H.Cho, I.Y.Kim, Sun I. Kim: Evaluation of the Similarity between Left and Right Mammograms . J of Env. Ind. Med., 9(1) 13-18 (2001) ⑪ J.H. Ku, D.P. Jang, M.B. Shin, H.J. Jo, H.B. Ahn, B.H. Cho, I.Y. Kim, S.I. Kim: The development of the virtual speech simulator system for the treatment of the fears of public speaking . Journal of Biomedical Engineering Research, 21(6) 615-621 (2000)
3. Selected International Conference ① Baek Hwan Cho, Yeong Kyeong Seong , Junghoe Kim, Zhihua Liu, Zhihui Hao, Eun Young Ko, , Kyoung-Gu Woo, Ultrasound breast lesion segmentation using adaptive parameters, SPIE Medical Imaging 2014 ② Baek Hwan Cho, Chuho Chang, Jong-Ha Lee, Eun Young Ko, Yeong Kyeong Seong, Kyoung-Gu Woo. Fast microcalcification detection in ultrasound images using image enhancement and threshold adjacency statistics. SPIE Medical Imaging 2013 ③ Baek Hwan Cho, Kole Roybal, Jianwei Zhang, Christopph Wuelfing, and Robert F. Murphy. A new freamework for automated location proteomics in the T cell activation. ASCB 2010. ④ Baek Hwan Cho, Arvind Rao, Christoph Wuelfing, Robert F. Murphy. A framework for location proteomics in the context of T cell activation. BMES (2009) ⑤ Ngo Anh Vien, Nguyen Hoang Viet, TaeChoong Chung, Hwanjo Yu, Sungchul Kim, Baek Hwan Cho. VRIFA: a nonlinear SVM visualization tool using nomogram and localized radial basis function (LRBF) kernels. CIKM (2009) ⑥ Kwan Soo Park, Baek Hwan Cho, Do Hun Lee, Soo Hwa Song, Jong Shill Lee, Young Jun Chee, In Young Kim, Sun I. Kim. Hierarchical support vector machine based heartbeat classification using higher order statistics and hermite basis function. Computers in Cardiology (2008) ⑦ Baek Hwan Cho, Soo Mi Lim, Hwanjo Yu, In Young Kim, Sun I. Kim. The estimation of continuous systolic blood pressure using SVMs and recursive feature elimination on the basis of PTT and biometric parameters. World Congress on Medical Physics and Biomedical Engineering (2006) ⑧ E. K. Park, B. H. Cho, S. H. Park, J. Y. Lee, J. S. Lee, I. Y. Kim, Sun I. Kim. Continuous measurement of systolic blood pressure using the PTT and other parameters. IEEE EMBS (2005) ⑨ B.H. Cho, S.B. Kim, S.M. Lee, J.H. Lee, I.Y. Kim, Sun I. Kim. Electrophysiological and neuropsychological tests using detrended fluctuation analysis for the diagnosis of subclinical hepatic encephalopathy. International Journal of PsyChophysiology; 54; pp 128 (2004) ⑩ B.H. Cho, S.B. Kim, S.M. Lee, J.H. Lee, I.Y. Kim, Sun I. Kim. Application of Neurofeedback with virtual reality for inattention and impulsiveness. International Journal of PsyChophysiology; 54; pp 185 (2004) ⑪ B. H. Cho, J. M. Lee, J. H. Ku, D. P. Jang, J. S. Kim, I. Y. Kim, J. H. Lee , S. I. Kim: Attention Enhancement System using Virtual Reality and EEG Biofeedback. Proceedings of the IEEE VR 2002, 156-163 (2002) ⑫ Beak-hwan Cho, Jeonghun Ku, Dongpyo Jang, Jaemin Lee, Myungjin Oh, Hun Kim, Janhan Lee, Jaeseok Kim, Inyoung Kim, Sunill Kim: Clinical Test for Attention Enhancement System. MMVR2002, 89-95 (2002) ⑬ B.H.Cho, J.H.Woo, W.K.Mun, I.Y.Kim, Sun.I.Kim: The Localization and Visualization of breast lesion in Digitized Mammogram. Proceeding of 2000 World Congress on Medical Physics and Biomedical Engineering, (2000)
Invited Talks 1. Adaptation of biological image analysis methods for an open server/client software: OMERO-PSLID project. Bio-IT world, Boston, USA, April 2011 2. Building generative models of subcellular organization from microscope images. Pollen RCN Workshop, Minneapolis, MN, August 2011
References
1. Professor In Young Kim, MD., Ph.D. (Thesis advisor) Dept. of Biomedical Engineering, Hanyang University, Seoul, South Korea [email protected] 2. Professor Sun I. Kim, Ph.D. (Thesis advisor) Dept. of Biomedical Engineering, Hanyang University, Seoul, South Korea [email protected] 3. Professor Kyu-Sung Lee, MD., Ph.D. Department of Urology, Smart Healthcare Device Research Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea [email protected] 4. Professor Sung Hwa Hong, MD., Ph.D. Department of Otolaryngology-Head and Neck Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea [email protected] 5. Professor Robert F. Murphy, Ph.D. Lane Center for Computational Biology, Center for Bioimage Informatics, Dept. of Biological Science, Dept. of Machine Learning, Carnegie Mellon University, Pittsburgh, PA, USA [email protected]