Image Processing and Analysis Lab.

We believe that knowledge from big data is a golden key to improve our society in cost-effective way. We focus on image and signal processing and analysis researches in various domains, such as medicine, security, and natural science.

We welcome your kind feedback and suggestions on our research. Our door is always open to highly motivated students at all stages.

Contact: Jaeil Kim, Ph.D. threeyears@gmail.com

Research Projects

  • Development of Longitudinal Prediction Model for Early Development
    • 2018 ~ Current, with IDEA group at UNC-Chapel Hill
  • Longitudinal Diffusion Atlas Construction for Infant Brain
    • 2016 ~ Current, with IDEA group at UNC-Chapel Hill
  • 3D Shape Modeling of Foot Joint using Plain Radiographs
    • 2016 ~ Current, with Asan Medical Center
  • Automatic Femur Segmentation and Bone Shape Modeling
    • 2018 ~ Current, with Asan Medical Center
  • Computer-aided Cerebral Hemorrhage Diagnosis using Brain CT
    • 2018 ~ Current, with Kyungpook National University Hospital
  • Development of Encrypted Malware Traffic Detection Algorithms
    • 2018 ~ Current, with National Security Research Institute

Members

Jaeil Kim, Ph.D. Assistant Professor (LinkedIn, Google Scholar)

Research Area: Medical Image Analysis, Image & Signal Processing, and Machine Learning

threeyears@gmail.com, +82-53-950-7283

Daeho Kim (Master Candidate)

Research Interest: Deep Learning, Computer Vision

kdaeho27@gmail.com

Dong Huh (Master Candidate)

Research Interest: Deep Learning, Computer Vision

her901210@naver.com

Tae Kyung Kim (Undergraduate Internship)

Research Interest: Deep Learning, Speech/Activity Recognition, Autonomous Driving

paperrune@naver.com

Seo Won Yoon (Undergraduate Internship)

Research Interest: Deep Learning, Data Analysis

floidea@naver.com


Publications

2018

Kim J, Hong Y, Chen G, Lin W, Yap PT, Shen D, Graph-Based Deep Learning for Prediction of Longitudinal Infant Diffusion MRI Data, MICCAI 2018 Workshop on Computational Diffusion MRI, Spain, Sept.20, 2018

Kim J, Hong Y, Chen G, Lin W, Yap PT, Shen D, Longitudinal Prediction of Pediatric Diffusion MRI Data using Graph-Based Deep Learning, 104th RSNA Scientific Assembly and Annual Meeting, Chicago, USA, Nov. 25-30, 2018.

Li G, Wang L, Yap PT, Wang F, Wu Z, Meng Y, Dong P, Kim J, Shi F, Rekik I, Lin W. Shen D, Computational neuroanatomy of baby brains: A review. NeuroImage. Mar. 21, 2018

Kim J, Chen G, Lin W, Yap PT, Shen D, Prediction of Diffusion-Weighted Appearance in Developing Infant Brain using Cycle-Consist Models, OHBM, Singapore, 17-21 June, 2018

2017

Cha DI, Lee MW, Kim AY, Kang TW, Oh YT, Jeong JY, Chang JW, Ryu J, Lee KJ, Kim J, Bang WC. Automatic image fusion of real-time ultrasound with computed tomography images: a prospective comparison between two auto-registration methods. Acta Radiologica. 2017 Nov;58(11):1349-57.

Cha DI, Lee MW, Kang TW, Oh YT, Jeong JY, Chang JW, Ryu J, Lee KJ, Kim J, Bang WC, Shin DK. Comparison Between CT and MR Images as More Favorable Reference Data Sets for Fusion Imaging-Guided Radiofrequency Ablation or Biopsy of Hepatic Lesions: A Prospective Study with Focus on Patient’s Respiration. Cardiovascular and interventional radiology. 2017 Oct 1;40(10):1567-75.

Kim J, Chen G, Lin W, Yap PT, Shen D. Graph-Constrained Sparse Construction of Longitudinal Diffusion-Weighted Infant Atlases. InInternational Conference on Medical Image Computing and Computer-Assisted Intervention 2017 Sep 10 (pp. 49-56). Springer, Cham.

Saghafi B*, Kim J*, Chen G, Shi F, Lin W, Yap PT, Shen D. Spatio‐angular consistent construction of neonatal diffusion Mri atlases. Human brain mapping. 2017 Jun;38(6):3175-89. * First Coauthor

Hernández MD, Cox SR, Kim J, Royle NA, Maniega SM, Gow AJ, Anblagan D, Bastin ME, Park J, Starr JM, Wardlaw JM. Hippocampal morphology and cognitive functions in community-dwelling older people: the Lothian Birth Cohort 1936. Neurobiology of aging. 2017 Apr 1;52:1-1.

Cox SR, Hernández MD, Kim J, Royle NA, MacPherson SE, Ferguson KJ, Maniega SM, Anblagan D, Aribisala BS, Bastin ME, Park J. Associations between hippocampal morphology, diffusion characteristics, and salivary cortisol in older men. Psychoneuroendocrinology. 2017 Apr 1;78:151-8.

2016

Seo SG, Kim J, Ryu CH, Kim EJ, Lee D, Lee DY, Park J. Weight-Bearing 3D Foot Model Reconstruction From Standing Radiographs Using Deformable Surface Fitting Method. Foot & Ankle Orthopaedics. 2016 Aug 19;1(1):2473011416S00323.

Kim AY, Lee MW, Cha DI, Lim HK, Oh YT, Jeong JY, Chang JW, Ryu J, Lee KJ, Kim J, Bang WC. Automatic registration between real-time ultrasonography and pre-procedural magnetic resonance images: a prospective comparison between two registration methods by liver surface and vessel and by liver surface only. Ultrasound in medicine & biology. 2016 Jul 1;42(7):1627-36.

Kim J, Hernández MD, Royle NA, Maniega SM, Aribisala BS, Gow AJ, Bastin ME, Deary IJ, Wardlaw JM, Park J. 3D shape analysis of the brain's third ventricle using a midplane encoded symmetric template model. Computer methods and programs in biomedicine. 2016 Jun 1;129:51-62.

2015

Kim J, Valdes-Hernandez MD, Royle NA, Park J. Hippocampal shape modeling based on a progressive template surface deformation and its verification. IEEE transactions on medical imaging. 2015 Jun;34(6):1242-61.