Hackjoon Shim

695 citations

50 papers · 499 indexed · h-index 12

Impact in

Radiology, Nuclear Medicine and Imaging top 5%
- Radiation Dose and Imaging
- Cardiac Imaging and Diagnostics
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
Computer Vision and Pattern Recognition top 5%
- Medical Image Segmentation Techniques

Papers in ⓘ

Radiology, Nuclear Medicine and Imaging 30
- Radiation Dose and Imaging 12
- Medical Imaging Techniques and Applications 9
- Cardiac Imaging and Diagnostics 9
- Radiomics and Machine Learning in Medical Imaging 7
Biomedical Engineering 25
- Advanced X-ray and CT Imaging 17
- Medical Imaging and Analysis 5

Co-authors: Cheng Tao (4 shared papers)Il Dong Yun (8 shared papers)C. Kent Kwoh (4 shared papers)Kyongtae T. Bae (5 shared papers)Samuel Chang (3 shared papers)Hyuk‐Jae Chang (17 shared papers)Sang Uk Lee (2 shared papers)Yeonggul Jang (9 shared papers)
Journals: IEEE Access (3 papers)Materials Research Innovations (2 papers)Radiology (2 papers)Acta Radiologica (2 papers)Journal of Computer Assisted Tomography (2 papers)
Partner nations: South Korea United States Ethiopia

In The Last Decade

Hackjoon Shim

44 papers receiving 489 citations

Peers

Countries citing papers authored by Hackjoon Shim

Since Specialization

Citations

This map shows the geographic impact of Hackjoon Shim's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hackjoon Shim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hackjoon Shim more than expected).

Fields of papers citing papers by Hackjoon Shim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hackjoon Shim. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hackjoon Shim. The network helps show where Hackjoon Shim may publish in the future.

Co-authors

The 25 scholars most cited alongside Hackjoon Shim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hackjoon Shim Line = papers co-authored together Hackjoon Shim links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Knee Cartilage: Efficient and Reproducible Segmentation on High-Spatial-Resolution MR Images with the Semiautomated Graph-Cut Algorithm Method Radiology ·Hackjoon Shim, Samuel Chang, Cheng Tao, Jin-Hong Wang, C. Kent Kwoh, Kyongtae T. Bae	2009	66
2	Image quality of Adaptive Iterative Dose Reduction 3D of coronary CT angiography of 640-slice CT: comparison with filtered back-projection International journal of cardiac imaging ·Roh‐Eul Yoo, Eun‐Ah Park, Whal Lee, Hackjoon Shim, Yeo Koon Kim, Jin Wook Chung, Jai Hyung Park	2012	57
3	Fully-automated approach to hippocampus segmentation using a graph-cuts algorithm combined with atlas-based segmentation and morphological opening Magnetic Resonance Imaging ·Kichang Kwak, Uicheul Yoon, Dong-Kyun Lee, Geon Ha Kim, Sang Won Seo, Duk L. Na, Hackjoon Shim, Jongmin Lee	2013	40
4	Intra- and inter-observer reproducibility of volume measurement of knee cartilage segmented from the OAI MR image set using a novel semi-automated segmentation method Osteoarthritis and Cartilage ·K.T. Bae, Hackjoon Shim, Cheng Tao, Sun Ju Chang, J.H. Wang, Robert M. Boudreau, C. Kent Kwoh	2009	38
5	Optimization of local shape and appearance probabilities for segmentation of knee cartilage in 3-D MR images Computer Vision and Image Understanding ·Soochahn Lee, (unknown), Sang Hyun Park, Hackjoon Shim, Il Dong Yun, Sang‐Uk Lee	2011	29
6	Improvement in Image Quality and Visibility of Coronary Arteries, Stents, and Valve Structures on CT Angiography by Deep Learning Reconstruction Korean Journal of Radiology ·Chuluunbaatar Otgonbaatar, Jae‐Kyun Ryu, Jaemin Shin, Ji Young Woo, Jung Wook Seo, Hackjoon Shim, Daehyun Hwang	2022	24
7	Robust segmentation of cerebral arterial segments by a sequential Monte Carlo method: Particle filtering Computer Methods and Programs in Biomedicine ·Hackjoon Shim, Dongjin Kwon, Il Dong Yun, Sang Uk Lee	2006	23
8	Semiautomated Segmentation of Kidney From High-Resolution Multidetector Computed Tomography Images Using a Graph-Cuts Technique Journal of Computer Assisted Tomography ·Hackjoon Shim, Samuel Chang, Cheng Tao, Jin Hong Wang, Diana Kaya, Kyongtae T. Bae	2009	19
9	Partition-Based Extraction of Cerebral Arteries from CT Angiography with Emphasis on Adaptive Tracking Lecture notes in computer science ·Hackjoon Shim, Il Dong Yun, Kyoung Mu Lee, Sang Uk Lee	2005	17
10	A fast seed detection using local geometrical feature for automatic tracking of coronary arteries in CTA Computer Methods and Programs in Biomedicine ·Dongjin Han, Nam-Thai Doan, Hackjoon Shim, Byunghwan Jeon, Hyunna Lee, Youngtaek Hong, Hyuk‐Jae Chang	2014	13
11	Improvement of depiction of the intracranial arteries on brain CT angiography using deep learning reconstruction Journal of Integrative Neuroscience ·Chuluunbaatar Otgonbaatar, Jae‐Kyun Ryu, Seonkyu Kim, Jeong‐Wook Seo, Hackjoon Shim, Dae Hyun Hwang	2021	13
12	Generative adversarial network with radiomic feature reproducibility analysis for computed tomography denoising Computers in Biology and Medicine ·Jina Lee, Jaeik Jeon, Youngtaek Hong, Dawun Jeong, Yeonggul Jang, Byunghwan Jeon, Hye Jin Baek, Eun Cho, Hackjoon Shim, Hyuk‐Jae Chang	2023	12
13	JPEG2000 2D and 3D Reversible Compressions of Thin-Section Chest CT Images: Improving Compressibility by Increasing Data Redundancy Outside the Body Region Radiology ·Kil Joong Kim, Kyoung Ho Lee, Bohyoung Kim, Thomas Richter, Il Dong Yun, Sang Uk Lee, Kyongtae Ty Bae, Hackjoon Shim	2011	11
14	Multi-Scale Conditional Generative Adversarial Network for Small-Sized Lung Nodules Using Class Activation Region Influence Maximization IEEE Access ·Kyeongjin Ann, Yeonggul Jang, Hackjoon Shim, Hyuk‐Jae Chang	2021	11
15	Influence of the adaptive iterative dose reduction 3D algorithm on the detectability of low-contrast lesions and radiation dose repeatability in abdominal computed tomography: a phantom study Abdominal Imaging ·Jeong Hee Yoon, Jeong Min Lee, Bo Yun Hur, Jeehyun Baek, Hackjoon Shim, Joon Koo Han, Byung Ihn Choi	2014	10
16	Segmentation of ground glass opacities by asymmetric multi-phase deformable model Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Yongseok Yoo, Hackjoon Shim, Il Dong Yun, Kyungwon Lee, Sang Uk Lee	2006	10
17	Predicting Peri-Device Leakage of Left Atrial Appendage Device Closure Using Novel Three-Dimensional Geometric CT Analysis Journal of Cardiovascular Ultrasound ·Hyemoon Chung, Byunghwan Jeon, Hyuk‐Jae Chang, Dongjin Han, Hackjoon Shim, Il‐Joo Cho, Chi Young Shim, Geu‐Ru Hong, Jung‐Sun Kim, Yangsoo Jang, Namsik Chung	2015	8
18	The effectiveness of post-processing head and neck CT angiography using contrast enhancement boost technique PLoS ONE ·Chuluunbaatar Otgonbaatar, Pil-Hyun Jeon, Jae‐Kyun Ryu, Hackjoon Shim, Sang-Hyun Jeon, Sung Min Ko, Hyunjung Kim, Jin Woo Kim	2023	8
19	Deep learning reconstruction allows for usage of contrast agent of lower concentration for coronary CTA than filtered back projection and hybrid iterative reconstruction Acta Radiologica ·Chuluunbaatar Otgonbaatar, Jae‐Kyun Ryu, Jaemin Shin, Han Myun Kim, Jung Wook Seo, Hackjoon Shim, Dae Hyun Hwang	2022	8
20	Geodesic Distance Algorithm for Extracting the Ascending Aorta from 3D CT Images Computational and Mathematical Methods in Medicine ·Yeonggul Jang, Ho Yub Jung, Youngtaek Hong, Iksung Cho, Hackjoon Shim, Hyuk‐Jae Chang	2016	8

About Hackjoon Shim

Hackjoon Shim is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Rheumatology, having authored 50 papers that have together received 499 indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (17 papers), Medical Image Segmentation Techniques (16 papers), Radiation Dose and Imaging (12 papers), Medical Imaging Techniques and Applications (9 papers), Cardiac Imaging and Diagnostics (9 papers), Osteoarthritis Treatment and Mechanisms (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Medical Imaging and Analysis (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (269 citations), Computer Vision and Pattern Recognition (150 citations), Rheumatology (103 citations), Biomedical Engineering (197 citations) and Health Informatics (6 citations). Hackjoon Shim has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Cheng Tao, Il Dong Yun, C. Kent Kwoh, Kyongtae T. Bae, Samuel Chang, Hyuk‐Jae Chang, Sang Uk Lee, Yeonggul Jang, Jin Wook Chung and Whal Lee. Their work appears in journals such as IEEE Access, Materials Research Innovations, Radiology, Acta Radiologica and Journal of Computer Assisted Tomography.

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