Keewon Shin

761 total citations
21 papers, 455 citations indexed

About

Keewon Shin is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Keewon Shin has authored 21 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Biomedical Engineering. Recurrent topics in Keewon Shin's work include Radiomics and Machine Learning in Medical Imaging (6 papers), AI in cancer detection (5 papers) and Diabetic Foot Ulcer Assessment and Management (4 papers). Keewon Shin is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), AI in cancer detection (5 papers) and Diabetic Foot Ulcer Assessment and Management (4 papers). Keewon Shin collaborates with scholars based in South Korea, Japan and United Kingdom. Keewon Shin's co-authors include Namkug Kim, Hyun‐Jin Bae, Yongwon Cho, Mingyu Kim, Ryoungwoo Jang, Jihye Yun, Do Hoon Kim, Seung Min Ryu, Gil-Sun Hong and Myung‐Won You and has published in prestigious journals such as PLoS ONE, Radiology and Medical Image Analysis.

In The Last Decade

Keewon Shin

18 papers receiving 442 citations

Peers

Countries citing papers authored by Keewon Shin

Since Specialization

Citations

This map shows the geographic impact of Keewon Shin'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 Keewon Shin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keewon Shin more than expected).

Fields of papers citing papers by Keewon Shin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keewon Shin. 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 Keewon Shin. The network helps show where Keewon Shin may publish in the future.

Co-authorship network of co-authors of Keewon Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Keewon Shin. A scholar is included among the top collaborators of Keewon Shin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Keewon Shin. Keewon Shin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Enhancement of phonocardiogram segmentation using convolutional neural networks with Fourier transform module 2025 ·Biomedical Engineering Letters ·Chang-Hyun Park, Keewon Shin, (unknown), (unknown), (unknown), (unknown), Sung‐Hoon Kim, Namkug Kim	0
2	Temporal convolutional neural network-based feature extraction and asynchronous channel information fusion method for heart abnormality detection in phonocardiograms 2025 ·Computer Methods and Programs in Biomedicine ·(unknown), Seongyong Park, Keewon Shin, Woo‐Young Seo, Hyun‐Seok Kim, (unknown), (unknown), Sung-Hyuk Cha, Won‐Jung Shin, Sung‐Hoon Kim	0
3	Integrated clinical and genomic models using machine-learning methods to predict the efficacy of paclitaxel-based chemotherapy in patients with advanced gastric cancer 2024 ·BMC Cancer ·Yonghwa Choi, Jangwoo Lee, Keewon Shin, Ji Won Lee, Ju Won Kim, Soo Hyun Lee, Yoon Ji Choi, Kyong Hwa Park, Jwa Hoon Kim	3
4	Enhancing Oncological Surveillance Through Large Language Model-Assisted Analysis: A Comparative Study of GPT-4 and Gemini in Evaluating Oncological Issues From Serial Abdominal CT Scan Reports 2024 ·Academic Radiology ·Na Han, Keewon Shin, Min Ju Kim, Beom Jin Park, Ki Choon Sim, (unknown), Deuk Jae Sung, Jae Woong Choi, Suk Keu Yeom	2
5	Enhanced diagnosis of pes planus and pes cavus using deep learning-based segmentation of weight-bearing lateral foot radiographs: a comparative observer study 2024 ·Biomedical Engineering Letters ·Seung Min Ryu, Keewon Shin, (unknown), (unknown), (unknown), Seong‐Beom Koh, (unknown), Ki‐Hong Kim, (unknown), (unknown), (unknown), Namkug Kim	0
6	Machine learning models with time-series clinical features to predict radiographic progression in patients with ankylosing spondylitis 2023 ·Journal of Rheumatic Diseases ·Bon San Koo, Miso Jang, Ji Seon Oh, Keewon Shin, Seunghun Lee, Kyung Bin Joo, Namkug Kim, Tae‐Hwan Kim	3
7	Automated diagnosis of flatfoot using cascaded convolutional neural network for angle measurements in weight-bearing lateral radiographs 2023 ·European Radiology ·Seung Min Ryu, Keewon Shin, (unknown), (unknown), (unknown), (unknown), (unknown), Min-Ju Kim, (unknown), (unknown), (unknown), Namkug Kim	4
8	Diagnosis of osteoporotic vertebral compression fractures and fracture level detection using multitask learning with U-Net in lumbar spine lateral radiographs 2023 ·Computational and Structural Biotechnology Journal ·Seung Min Ryu, So‐Young Lee, Miso Jang, Jung‐Min Koh, Sung Jin Bae, (unknown), Keewon Shin, Namkug Kim	13
9	Overcoming the Challenges in the Development and Implementation of Artificial Intelligence in Radiology: A Comprehensive Review of Solutions Beyond Supervised Learning 2023 ·Korean Journal of Radiology ·Gil-Sun Hong, Miso Jang, (unknown), (unknown), (unknown), (unknown), Keewon Shin, (unknown), Seung Min Ryu, Joon Beom Seo, Sang Min Lee, Namkug Kim	22
10	An Image Turing Test on Realistic Gastroscopy Images Generated by Using the Progressive Growing of Generative Adversarial Networks 2023 ·Journal of Digital Imaging ·Keewon Shin, Jung Su Lee, (unknown), Hyunsu Lee, Jeongseok Kim, Jeong‐Sik Byeon, Hwoon‐Yong Jung, Do Hoon Kim, Namkug Kim	7
11	Enhancing the performance of premature ventricular contraction detection in unseen datasets through deep learning with denoise and contrast attention module 2023 ·Computers in Biology and Medicine ·Keewon Shin, (unknown), (unknown), Hyun-Seok Kim, (unknown), Dong‐Kyu Kim, Yong‐Seok Park, Sung‐Hoon Kim, Namkug Kim	6
12	Screening of adolescent idiopathic scoliosis using generative adversarial network (GAN) inversion method in chest radiographs 2023 ·PLoS ONE ·(unknown), Keewon Shin, Seung Min Ryu, (unknown), (unknown), Min A Yoon, Gil-Sun Hong, (unknown), Namkug Kim	6
13	Diagnosis of Scoliosis Using Chest Radiographs with a Semi-Supervised Generative Adversarial Network 2022 ·Journal of the Korean Society of Radiology ·(unknown), Keewon Shin, (unknown), Seung‐Jin Yoo, Min A Yoon, Yo Won Choi, Gil-Sun Hong, Namkug Kim, (unknown)	3
14	Improved performance and robustness of multi-task representation learning with consistency loss between pretexts for intracranial hemorrhage identification in head CT 2022 ·Medical Image Analysis ·(unknown), Keewon Shin, (unknown), (unknown), (unknown), (unknown), Jeong Hyun Lee, Gil-Sun Hong, Namkug Kim	17
15	Can deep learning reduce the time and effort required for manual segmentation in 3D reconstruction of MRI in rotator cuff tears? 2022 ·PLoS ONE ·Hyojune Kim, Keewon Shin, Hoyeon Kim, (unknown), Seok Won Chung, Kyoung Hwan Koh, Namkug Kim	16
16	Automated landmark identification for diagnosis of the deformity using a cascade convolutional neural network (FlatNet) on weight-bearing lateral radiographs of the foot 2022 ·Computers in Biology and Medicine ·Seung Min Ryu, Keewon Shin, (unknown), Sun‐Ho Lee, (unknown), (unknown), (unknown), Jun‐Sik Kim, (unknown), Namkug Kim	8
17	Enhancement of evaluating flatfoot on a weight-bearing lateral radiograph of the foot with U-Net based semantic segmentation on the long axis of tarsal and metatarsal bones in an active learning manner 2022 ·Computers in Biology and Medicine ·Seung Min Ryu, Keewon Shin, (unknown), Seung‐Jun Lee, Namkug Kim	10
18	Convolutional Neural Network Technology in Endoscopic Imaging: Artificial Intelligence for Endoscopy 2020 ·Clinical Endoscopy ·(unknown), Keewon Shin, (unknown), Hyun‐Jin Bae, Do Hoon Kim, (unknown), (unknown)	48
19	Fully automated 3D segmentation and separation of multiple cervical vertebrae in CT images using a 2D convolutional neural network 2019 ·Computer Methods and Programs in Biomedicine ·Hyun‐Jin Bae, (unknown), (unknown), Keewon Shin, Yongwon Cho, (unknown), Seong Yi, Sung Uk Kuh, Jin S. Yeom, Namkug Kim	28
20	Deep Learning in Medical Imaging 2019 ·Neurospine ·Mingyu Kim, Jihye Yun, Yongwon Cho, Keewon Shin, Ryoungwoo Jang, Hyun‐Jin Bae, Namkug Kim	224

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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