Partition-Based Extraction of Cerebral Arteries from CT Angiography with Emphasis on Adaptive Tracking. - Hackjoon Shim; Il Dong Yun; Kyoung Mu Lee; Sang Uk Lee (IPMI, 2005)

Segmentation of ground glass opacities by asymmetric multi-phase deformable model. - Yongseok Yoo; Hackjoon Shim; Il Dong Yun; Kyung Won Lee; Sang Uk Lee (Image Processing, 2006)

Robust segmentation of cerebral arterial segments by a sequential Monte Carlo method: Particle filtering. - Hackjoon Shim; Dongjin Kwon; Il Dong Yun; Sang Uk Lee (Comput. Methods Programs Biomed., 2006)

3-D segmentation of articular cartilages by graph cuts using knee MR images from osteoarthritis initiative. - Hackjoon Shim; Soochahn Lee; Bohyeong Kim; Cheng Tao 002; Samuel Chang; Il Dong Yun; Sang Uk Lee; C. Kent Kwoh; Kyongtae Ty Bae (Image Processing, 2008)

Fully automatic 3-D segmentation of knee bone compartments by iterative local branch-and-mincut on MR images from osteoarthritis initiative (OAI). - Sang Hyun Park 004; Soochahn Lee; Hackjoon Shim; Il Dong Yun; Sang Uk Lee; Kyoung Ho Lee; Heung Sik Kang; Joon Koo Han (ICIP, 2009)

Simultaneous 3D segmentation of three bone compartments on high resolution knee MR images from osteoarthritis initiative (OAI) using graph cuts. - Hackjoon Shim; C. Kent Kwoh; Il Dong Yun; Sang Uk Lee; Kyongtae Ty Bae (Image Processing, 2009)

Automatic bone registration in MR knee images for cartilage morphological analysis. - Ji Hyun Yoo; Soo Kyung Kim; Helen Hong; Hackjoon Shim; C. Kent Kwoh; Kyongtae Ty Bae (Image Processing, 2009)

Volume-Rendering of Mitochondrial Transports Using VTK. - Yeonggul Jang; Hackjoon Shim; Yoojin Chung (FGIT-ASEA/DRBC/EL, 2011)

Mask-Rendering of Mitochondrial Transports Using VTK. - Yeonggul Jang; Hackjoon Shim; Yoojin Chung (FGIT-DTA/BSBT, 2011)

Optimization of local shape and appearance probabilities for segmentation of knee cartilage in 3-D MR images. - Soochahn Lee; Sang Hyun Park 004; Hackjoon Shim; Il Dong Yun; Sang Uk Lee (Comput. Vis. Image Underst., 2011)

Application of compatible dual-echo arteriovenography in stroke: Preliminary observations. - Kyongtae Ty Bae; Sung-Hong Park; Hackjoon Shim; Chan-Hong Moon; Jung-Hwan Kim; Edwin M. Nemoto (Int. J. Imaging Syst. Technol., 2013)

A fast seed detection using local geometrical feature for automatic tracking of coronary arteries in CTA. - Dongjin Han; Nam-Thai Doan; Hackjoon Shim; Byunghwan Jeon; Hyunna Lee; Youngtaek Hong; Hyuk-Jae Chang (Comput. Methods Programs Biomed., 2014)

Geodesic Distance Algorithm for Extracting the Ascending Aorta from 3D CT Images. - Yeonggul Jang; Ho Yub Jung; Youngtaek Hong; Iksung Cho; Hackjoon Shim; Hyuk-Jae Chang (Comput. Math. Methods Medicine, 2016)

Coronary luminal and wall mask prediction using convolutional neural network. - Youngtaek Hong; Yoonmi Hong; Yeonggul Jang; Sekeun Kim; Byunghwan Jeon; Sunghee Jung; Seongmin Ha; Dongjin Han; Hackjoon Shim; Hyuk-Jae Chang (ISBI, 2017)

Maximum a posteriori estimation method for aorta localization and coronary seed identification. - Byunghwan Jeon; Yoonmi Hong; Dongjin Han; Yeonggul Jang; Sunghee Jung; Youngtaek Hong; Seongmin Ha; Hackjoon Shim; Hyuk-Jae Chang (Pattern Recognit., 2017)

Full Quantification of Left Ventricle Using Deep Multitask Network with Combination of 2D and 3D Convolution on 2D + t Cine MRI. - Yeonggul Jang; Sekeun Kim; Hackjoon Shim; Hyuk-Jae Chang (STACOM@MICCAI, 2018)

Fully Automatic Segmentation of Coronary Arteries Based on Deep Neural Network in Intravascular Ultrasound Images. - Sekeun Kim; Yeonggul Jang; Byunghwan Jeon; Youngtaek Hong; Hackjoon Shim; Hyuk-Jae Chang (CVII-STENT/LABELS@MICCAI, 2018)

A Cascaded Two-step Approach For Segmentation of Thoracic Organs. - Sekeun Kim; Yeonggul Jang; Kyunghoon Han; Hackjoon Shim; Hyuk-Jae Chang (SegTHOR@ISBI, 2019)

Identification of coronary arteries in CT images by Bayesian analysis of geometric relations among anatomical landmarks. - Byunghwan Jeon; Yeonggul Jang; Hackjoon Shim; Hyuk-Jae Chang (Pattern Recognit., 2019)

Multi-Scale Conditional Generative Adversarial Network for Small-Sized Lung Nodules Using Class Activation Region Influence Maximization. - Kyeongjin Ann; Yeonggul Jang; Hackjoon Shim; Hyuk-Jae Chang (IEEE Access, 2021)

Bayesian Estimation of Geometric Morphometric Landmarks for Simultaneous Localization of Multiple Anatomies in Cardiac CT Images. - Byunghwan Jeon; Sunghee Jung; Hackjoon Shim; Hyuk-Jae Chang (Entropy, 2021)

Reconnection of fragmented parts of coronary arteries using local geometric features in X-ray angiography images. - Kyunghoon Han; Jaeik Jeon; Yeonggul Jang; Sunghee Jung; Sekeun Kim; Hackjoon Shim; Byunghwan Jeon; Hyuk-Jae Chang (Comput. Biol. Medicine, 2022)

Bayesian approaches for Quantifying Clinicians' Variability in Medical Image Quantification. - Jaeik Jeon; Yeonggul Jang; Youngtaek Hong; Hackjoon Shim; Sekeun Kim (CoRR, 2022)

Reconstruction of Partially Broken Vascular Structures in X-Ray Images via Vesselness-Loss-Based Multi-Scale Generative Adversarial Networks. - Kyunghoon Han; Heejoon Koo; Sunghee Jung; Hyung-Bok Park; Youngtaek Hong; Hackjoon Shim; Byunghwan Jeon; Hyuk-Jae Chang (IEEE Access, 2023)

Generative adversarial network with radiomic feature reproducibility analysis for computed tomography denoising. - Jina Lee; Jaeik Jeon; Youngtaek Hong; Dawun Jeong; Yeonggul Jang; Byunghwan Jeon; Hye Jin Baek; Eun Cho; Hackjoon Shim; Hyuk-Jae Chang (Comput. Biol. Medicine, 2023)

Improving the Reproducibility of Computed Tomography Radiomic Features Using an Enhanced Hierarchical Feature Synthesis Network. - Dawun Jeong; Youngtaek Hong; Jina Lee; Seul Bi Lee; Yeon Jin Cho; Hackjoon Shim; Hyuk-Jae Chang (IEEE Access, 2024)

Preoperative Rotator Cuff Tear Prediction from Shoulder Radiographs using a Convolutional Block Attention Module-Integrated Neural Network. - Chris Hyunchul Jo; Jiwoong Yang; Byunghwan Jeon; Hackjoon Shim; Ikbeom Jang (CoRR, 2024)

Fully Convolutional Hybrid Fusion Network With Heterogeneous Representations for Identification of S1 and S2 From Phonocardiogram. - Yeonggul Jang; Juyeong Jung; Youngtaek Hong; Jina Lee; Hyunseok Jeong; Hackjoon Shim; Hyuk-Jae Chang (IEEE J. Biomed. Health Informatics, 2024)