Hackjoon Shim

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 14

Top Topics

Bayesian Approaches

Anatomical Landmarks

Top Venues

Pattern Recognit.

Comput. Biol. Medicine

Publications

Dawun Jeong, Youngtaek Hong, Jina Lee, Seul Bi Lee, Yeon Jin Cho, Hackjoon Shim, Hyuk-Jae Chang
Improving the Reproducibility of Computed Tomography Radiomic Features Using an Enhanced Hierarchical Feature Synthesis Network. IEEE Access 12 (2024)
Kyunghoon Han, Heejoon Koo, Sunghee Jung, Hyung-Bok Park, Youngtaek Hong, Hackjoon Shim, Byunghwan Jeon, Hyuk-Jae Chang
Reconstruction of Partially Broken Vascular Structures in X-Ray Images via Vesselness-Loss-Based Multi-Scale Generative Adversarial Networks. IEEE Access 11 (2023)
Jina Lee, Jaeik Jeon, Youngtaek Hong, Dawun Jeong, Yeonggul Jang, Byunghwan Jeon, Hye Jin Baek, Eun Cho, Hackjoon Shim, Hyuk-Jae Chang
Generative adversarial network with radiomic feature reproducibility analysis for computed tomography denoising. Comput. Biol. Medicine 159 (2023)
Kyunghoon Han, Jaeik Jeon, Yeonggul Jang, Sunghee Jung, Sekeun Kim, Hackjoon Shim, Byunghwan Jeon, Hyuk-Jae Chang
Reconnection of fragmented parts of coronary arteries using local geometric features in X-ray angiography images. Comput. Biol. Medicine 141 (2022)
Jaeik Jeon, Yeonggul Jang, Youngtaek Hong, Hackjoon Shim, Sekeun Kim
Bayesian approaches for Quantifying Clinicians' Variability in Medical Image Quantification. CoRR (2022)
Kyeongjin Ann, Yeonggul Jang, Hackjoon Shim, Hyuk-Jae Chang
Multi-Scale Conditional Generative Adversarial Network for Small-Sized Lung Nodules Using Class Activation Region Influence Maximization. IEEE Access 9 (2021)
Byunghwan Jeon, Sunghee Jung, Hackjoon Shim, Hyuk-Jae Chang
Bayesian Estimation of Geometric Morphometric Landmarks for Simultaneous Localization of Multiple Anatomies in Cardiac CT Images. Entropy 23 (1) (2021)
Byunghwan Jeon, Yeonggul Jang, Hackjoon Shim, Hyuk-Jae Chang
Identification of coronary arteries in CT images by Bayesian analysis of geometric relations among anatomical landmarks. Pattern Recognit. 96 (2019)
Sekeun Kim, Yeonggul Jang, Kyunghoon Han, Hackjoon Shim, Hyuk-Jae Chang
A Cascaded Two-step Approach For Segmentation of Thoracic Organs. SegTHOR@ISBI (2019)
Sekeun Kim, Yeonggul Jang, Byunghwan Jeon, Youngtaek Hong, Hackjoon Shim, Hyuk-Jae Chang
Fully Automatic Segmentation of Coronary Arteries Based on Deep Neural Network in Intravascular Ultrasound Images. CVII-STENT/LABELS@MICCAI (2018)
Yeonggul Jang, Sekeun Kim, Hackjoon Shim, Hyuk-Jae Chang
Full Quantification of Left Ventricle Using Deep Multitask Network with Combination of 2D and 3D Convolution on 2D + t Cine MRI. STACOM@MICCAI (2018)
Youngtaek Hong, Yoonmi Hong, Yeonggul Jang, Sekeun Kim, Byunghwan Jeon, Sunghee Jung, Seongmin Ha, Dongjin Han, Hackjoon Shim, Hyuk-Jae Chang
Coronary luminal and wall mask prediction using convolutional neural network. ISBI (2017)
Byunghwan Jeon, Yoonmi Hong, Dongjin Han, Yeonggul Jang, Sunghee Jung, Youngtaek Hong, Seongmin Ha, Hackjoon Shim, Hyuk-Jae Chang
Maximum a posteriori estimation method for aorta localization and coronary seed identification. Pattern Recognit. 68 (2017)
Yeonggul Jang, Ho Yub Jung, Youngtaek Hong, Iksung Cho, Hackjoon Shim, Hyuk-Jae Chang
Geodesic Distance Algorithm for Extracting the Ascending Aorta from 3D CT Images. Comput. Math. Methods Medicine 2016 (2016)
Dongjin Han, Nam-Thai Doan, Hackjoon Shim, Byunghwan Jeon, Hyunna Lee, Youngtaek Hong, Hyuk-Jae Chang
A fast seed detection using local geometrical feature for automatic tracking of coronary arteries in CTA. Comput. Methods Programs Biomed. 117 (2) (2014)
Kyongtae Ty Bae, Sung-Hong Park, Hackjoon Shim, Chan-Hong Moon, Jung-Hwan Kim, Edwin M. Nemoto
Application of compatible dual-echo arteriovenography in stroke: Preliminary observations. Int. J. Imaging Syst. Technol. 23 (2) (2013)
Soochahn Lee, Sang Hyun Park, Hackjoon Shim, Il Dong Yun, Sang Uk Lee
Optimization of local shape and appearance probabilities for segmentation of knee cartilage in 3-D MR images. Comput. Vis. Image Underst. 115 (12) (2011)
Yeonggul Jang, Hackjoon Shim, Yoojin Chung
Mask-Rendering of Mitochondrial Transports Using VTK. FGIT-DTA/BSBT (2011)
Yeonggul Jang, Hackjoon Shim, Yoojin Chung
Volume-Rendering of Mitochondrial Transports Using VTK. FGIT-ASEA/DRBC/EL (2011)
Sang Hyun Park, Soochahn Lee, Hackjoon Shim, Il Dong Yun, Sang Uk Lee, Kyoung Ho Lee, Heung Sik Kang, Joon Koo Han
Fully automatic 3-D segmentation of knee bone compartments by iterative local branch-and-mincut on MR images from osteoarthritis initiative (OAI). ICIP (2009)
Hackjoon Shim, C. Kent Kwoh, Il Dong Yun, Sang Uk Lee, Kyongtae Ty Bae
Simultaneous 3D segmentation of three bone compartments on high resolution knee MR images from osteoarthritis initiative (OAI) using graph cuts. Medical Imaging: Image Processing (2009)
Ji Hyun Yoo, Soo Kyung Kim, Helen Hong, Hackjoon Shim, C. Kent Kwoh, Kyongtae Ty Bae
Automatic bone registration in MR knee images for cartilage morphological analysis. Medical Imaging: Image Processing (2009)
Hackjoon Shim, Soochahn Lee, Bohyeong Kim, Cheng Tao, Samuel Chang, Il Dong Yun, Sang Uk Lee, C. Kent Kwoh, Kyongtae Ty Bae
3-D segmentation of articular cartilages by graph cuts using knee MR images from osteoarthritis initiative. Medical Imaging: Image Processing (2008)
Yongseok Yoo, Hackjoon Shim, Il Dong Yun, Kyung Won Lee, Sang Uk Lee
Segmentation of ground glass opacities by asymmetric multi-phase deformable model. Medical Imaging: Image Processing (2006)
Hackjoon Shim, Dongjin Kwon, Il Dong Yun, Sang Uk Lee
Robust segmentation of cerebral arterial segments by a sequential Monte Carlo method: Particle filtering. Comput. Methods Programs Biomed. 84 (2-3) (2006)
Hackjoon Shim, Il Dong Yun, Kyoung Mu Lee, Sang Uk Lee
Partition-Based Extraction of Cerebral Arteries from CT Angiography with Emphasis on Adaptive Tracking. IPMI (2005)