2025

Deep Learning Based Dual Stage Model for Accurate Nasogastric Tube Positioning in Chest Radiographs

Inseo Park, Gwiseong Moon, Ji Young Hong, Jeongwon Heo, Hongseok Ko, Doohee Lee, Yoon Kim, Woo Jin Kim, Hyun-Soo Choi*, and Kyoung Min Moon*

Scientific Reports, In press

A Refined Approach to Segmenting and Quantifying Inter-Fracture Spaces in Facial Bone CT Imaging

Doohee Lee, Kanghee Lee, Dae-Hyun Park, Gwiseong Moon, Inseo Park, Yeonjin Jeong, Kun-Yong Sung, Hyun-Soo Choi*, andYoon Kim*

Appl. Sci., 15(3), 1539, Jan 2025

2024

Multi-modality multi-task model for mRS prediction using diffusion-weighted resonance imaging

In-Seo Park†, Seongheon Kim†, Jae-Won Jang, Sang-Won Park, Na-Young Yeo,  Soo Young Seo,  Inyeop Jeon, Seung-Ho Shin, Yoon Kim, Hyun-Soo Choi*, and Chulho Kim*

Scientific Reports, 14, 20572, Sep 2024

Very Fast, High-Resolution Aggregation 3D Detection CAM to quickly and accurately find facial fracture areas

GwiSeong Moon, Doohee Lee, Woo Jin Kim, Yoon Kim, Kun Yong Sung, and Hyun-Soo Choi*

Computer Methods and Programs in Biomedicine, vol 256, 108379, Nov 2024

Deep Learning-Based Real-Time Organ Localization and Transit Time Estimation in Wireless Capsule Endoscopy

Seung-Joo Nam†, Gwiseong Moon†, Jung-Hwan Park, Yoon Kim, Yun Jeong Lim*, and Hyun-Soo Choi*

Biomedicines, 12(8), 1704,  2024

A Comprehensive Study on Deep Learning-Based Electrocardiography Analysis for Estimating the Apnea-Hypopnea Index

Seola Kim†, Hyun-Soo Choi†, Dohyun Kim, Minkyu Kim, Seo-Young Lee, Jung-Kyeom Kim, Yoon Kim, and Woo Hyun Lee*

Diagnostics, 14(11), 1134, 2024

A Deep Learning-Based Approach for Prediction of Vancomycin Treatment Drug Monitoring: Retrospective Data of Critically Ill Patients

Dohyun Kim†,  Hyun-Soo Choi†,  DongHoon Lee,  Minkyu Kim,  Yoon Kim,  Seon-Sook Han,  Yeonjeong Heo,  Ju-Hee Park, and Jinkyeong Park*

JMIR Formative Research, 8, e45202, 2024

Early Prediction of Mortality for Septic Patients Visiting Emergency Room Based on Explainable Machine Learning: A Real-World Multicenter Study

Sang Won Park, Na Young Yeo, Seonguk Kang, Taejun Ha, Tae-Hoon Kim, DooHee Lee, Do-Won Kim, Se-Heon Choi, Minkyu Kim, DongHoon Lee, Dohyun Kim, Woo Jin Kim, Seung-Joon Lee, Yeonjeong Heo, Da Hye Moon, Seon-Sook Han, Yoon Kim, Hyun-Soo Choi, Dong Kyu Oh, Su Yeon Lee, Mi Hyeon Park, Chae-Man Lim, and Jeongwon Heo*

Journal of Korean Medical Science, 39(5), Feb 2024

Explicit Feature Interaction-aware Graph Neural Network

Minkyu Kim, Hyun-Soo Choi*, and Jinho Kim*

IEEE ACCESS, vol 12, pp 15438 - 15446, Jan 2024

Enhancing Nasogastric Tube Detection in Chest X-rays: A Deep Learning Approach with Active Learning

Kyoung Min Moon, Donghwan Hwang, Hyun-Soo Choi, Ji Young Hong , Hongseok Ko, Yoon Kim , Woo Jin Kim, Doohee Lee, and Myung Pyo Kim

European Congress of Radiology 2024

2023

In-Advance Prediction of Pressure Ulcers via Deep-Learning-Based Robust Missing Value Imputation on Real-Time Intensive Care Variables

Minkyu Kim†, Tae-Hoon Kim†, Dowon Kim, Donghoon Lee, Dohyun Kim, Jeongwon Heo, Seonguk Kang, Taejun Ha, Jinju Kim, Da Hye Moon, Yeonjeong Heo, Woo Jin Kim, Seung-Joon Lee, Yoon Kim, Sang Won Park, Seon-Sook Han*,  and Hyun-Soo Choi*

Journal of Clinical Medicine, 13(1), 36, Dec 2023

FaBoA: Computed Tomography-based Facial Bone Fracture Analysis Solution

Hyun-Soo Choi, Gwiseong Moon, Donghwan Hwang, Doohee Lee, Jongwoo Han, Heecheol Kim, Jungsub Oh, Sanghyun Jo, Yeonjin Jeong, Yoon Kim, Woo Jin Kim,  and Kunyong Sung

Annual Meeting of Radiological Society of North America (RSNA), 2023

Improving generalization performance of electrocardiogram classification models

Hyeongrok Han, Seongjae Park, Seonwoo Min, Eunji Kim, Hyun Gi Kim, Sangha Park, Jinkook Kim, Junsang Park, Junho An, Kwanglo Lee, Wonsun Jeong, Sangil Chon, Kwonwoo Ha, Myungkyu Han, Hyun-Soo Choi* and Sungroh Yoon*

Physiological Measurement, vol 44, no 5, May 2023

On the Impact of Knowledge Distillation for Model Interpretability

Hyeongrok Han, Siwon Kim, Hyun-Soo Choi*,  and Sungroh Yoon*

Proceedings of 40th International Conference on Machine Learning (ICML), 2023

PixelSteganalysis: Pixel-wise Hidden Information Removal with Low Visual Degradation

Dahuin Jung, Ho Bae, Hyun-Soo Choi, and Sungroh Yoon*

IEEE Transactions on Dependable and Secure Computing (TDSC), vol 20, pp 331 - 342, Jan-Feb 2023

[2021 IF: 6.791, JIF 91.36%]

Multi-View Computed Tomography Network for Osteoporosis Classification

Dong Hwan Hwang†, So Hyeon Bak†, Tae-Jun Ha, Yoon Kim, Woo Jin Kim,  and Hyun-Soo Choi*

IEEE ACCESS, vol 11, pp 22297 - 22306, Mar 2023

2022

ConBERT: A Concatenation of Bidirectional Transformers for Standardization of Operative Reports from Electronic Medical Records

Sangjee Park†, Jun-Woo Bong†, Inseo Park, Hwamin Lee, Jiyoun Choi, Pyoungjae Park, Yoon Kim, Hyun-Soo Choi*, and Sanghee Kang*

Applied Science, 12(21), Nov 2022

Predicting progression to dementia with “comprehensive visual rating scale” and machine learning algorithms

Chaeyoon Park†, Jae-Won Jang†, Gihun Joo, Yeshin Kim, Seongheon Kim, Gihwan Byeon, Sang Won Park, Payam Hosseinzadeh Kasani, Sujin Yum, Jung-Min Pyun, Young Ho Park, Jae-Sung Lim, Young Chul Youn, Hyun-Soo Choi, Chihyun Park, Hyeonseung Im*, and SangYun Kim*

Frontiers in Neurology, 13, Aug 2022

Imbalanced Data Classification via Cooperative Training of Classifier and Generative Adversarial Networks

Hyun-Soo Choi, Dahuin Jung, Siwon Kim, and Sungroh Yoon*

IEEE Transactions on Neural Networks and Learning Systems, 33 (8), Aug 2022 

[2021 IF: 14.255, JIF 99.07 %]

Computer Aided Facial Bone Fracture Diagnosis (CA-FBFD) System Based on Object Detection Model

GwiSeong Moon, Seola Kim, Woojin Kim, Yoon Kim, Yeonjin Jeong*,  and Hyun-Soo Choi*

IEEE ACCESS, vol 10, pp 79061 - 79070, Aug 2022

How Many Private Data are Needed for Deep Learning in Lung Nodule Detection on CT Scans? A Retrospective Multicenter Study

Jeong Woo Son†, Ji Young Hong†, Yoon Kim,  Woo Jin Kim, Dae-Yong Shin, Hyun-Soo Choi*, So Hyeon Bak*, and Kyoung Min Moon*

Cancers, 14 (13), pp  3174, Jun 2022

Towards a Rigorous Evaluation of Time-series Anomaly Detection

Siwon Kim, Kukjin Choi, Hyun-Soo Choi, Byunghan Lee, and Sungroh Yoon*

Proceedings of Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

[Accept Ratio < 15%]

DNA Privacy: Analyzing Malicious DNA Sequences using Deep Neural Networks

Ho Bae, Seonwoo Min, Hyun-Soo Choi, and Sungroh Yoon*

IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol 19, no. 2, Mar 2022

Indirect Volume Estimation For Acute Ischemic Stroke From Diffusion Weighted Image Using Slice Image Segmentation

Seung-Ah Lee†, Jae-Won Jang†, Sang-Won Park, Pum-Jun Kim, Na Young Yeo,  Chulho Kim, Yoon Kim,  Hyun-Soo Choi*,  and Seongheon Kim*

Journal of Personalized Medicine, 12(4), 521, Mar 2022

2021

Pre-Training of Deep Bidirectional Protein Sequence Representations with Structural Information

Seonwoo Min, Seunghyun Park, Siwon Kim, Hyun-Soo Choi, Byunghan Lee, and Sungroh Yoon*

IEEE Access, vol. 9, pp 123912 - 123926, Sep 2021

Towards High Generalization Performance on Electrocardiogram Classification

Hyeongrok Han, Seongjae Park, Seonwoo Min, Hyun-Soo Choi, Eunji Kim, Hyunki Kim, Sangha Park, Jinkook Kim, Junsang Park, Junho An, Kwanglo Lee, Wonsun Jeong, Sangil Chon, Kwonwoo Ha, Myungkyu Han,  and Sungroh Yoon*

Proceedings of Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/Computing in Cardiology Challenge 2021

Bag of Tricks for Electrocardiogram Classification with Deep Neural Networks

Seonwoo Min, Hyun-Soo Choi, Hyeongrok Han, Minji Seo, Jin-Kook Kim, Junsang Park, Sunghoon Jung, Il-Young Oh, Byunghan Lee and Sungroh Yoon*

Proceedings of Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020, Hawaii, USA, February 2021

~ 2020

The Message Passing Neural Networks for Chemical Property Prediction on SMILES

Jeonghee Jo, Bumju Kwak, Hyun-Soo Choi, and Sungroh Yoon*

Methods,  vol. 179, pp. 65-72, July 2020

AnomiGAN: Generative adversarial networks for anonymizing private medical data

Ho Bae, Dahuin Jung, Hyun-Soo Choi, and Sungroh Yoon*

Proceedings of Pacific Symposium on Biocomputing (PSB), Hawaii, USA, January 2020

Prediction of Drug Classes with a Deep Neural Network using Drug Targets and Chemical Structure Data

Jeonghee Jo, Hyun-Soo Choi, and Sungroh Yoon*

Proceedings of International Conference on Bioinformatics and Biomedicine, San Diego, CA, USA, November 2019

Learning-based Instantaneous Drowsiness Detection Using Wired and Wireless Electroencephalography

Hyun-Soo Choi, Seonwoo Min, Siwon Kim, Ho Bae, Jee-Eun Yoon, Inha Hwang, Dana Oh, Chang-ho Yoon, and Sungroh Yoon*

IEEE Access, vol. 7, no. 1, pp. 146390-146402, October 2019

Pediatric Sleep Stage Classification using Multi-domain Hybrid Neural Networks

Yonghoon Jeon†, Siwon Kim†,  Hyun-Soo Choi, Yoon Gi Chung, Sun Ah Choi, Hunmin Kim*, Sungroh Yoon*, Hee Hwang, and Ki Joong Kim

IEEE Access, vol. 7, no. 1, pp. 96495–96505, July 2019

Electroencephalographic Resting-State Functional Connectivity of Benign Epilepsy with Centrotemporal Spikes

Hyun-Soo Choi†, Yoon Ki Jung†, Sun Ah Choi, So Youn Ahn, Hunmin Kim*, Sungroh Yoon*, Hee Hwang, and Ki Joong Kim

Journal of Clinical Neurology, vol.15, no.2, pp.211-220, April 2019

Deep Learning Based Low-cost High-accuracy Diagnostic Framework for Dementia Using Comprehensive Neuropsychological Assessment Profiles

Hyun-Soo Choi†, Jin Yeong Choe†, Hanjoo Kim, Ji Won Han, Yeon Kyung Chi, Kayoung Kim, Jongwoo Hong, Taehyun Kim, Tae Hui Kim, Sungroh Yoon*,  and Ki Woong Kim*

BMC Geriatrics, vol.18, no.1, p.234, October 2018

hc-OTU: A Fast and Accurate Method for Clustering Operational Taxonomic Units based on Homopolymer Compaction

Seunghyun Park, Hyun-Soo Choi, Byunghan Lee, Jongsik Chun, Joong-Ho Won, and Sungroh Yoon*

IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol.15, no.2, pp.441-451, March/April 2018

Detecting System Anomalies in Multivariate Time Series with Information Transfer and Random Walk

Jongsun Lee, Hyun-Soo Choi, Yongkweon Jeon, Yongsik Kwon, Donghun Lee, and Sungroh Yoon*

Proceedings of the 5th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, Zurich, Switzerland, December 2018

XGBoost-Based Instantaneous Drowsiness Detection Framework Using Multitaper Spectral Information of Electroencephalography

Hyun-Soo Choi Siwon Kim, Jung Eun Oh, Jee Eun Yoon, Jung Ah Park, Chang-Ho Yun, and Sungroh Yoon*

Proceedings of the ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, Washington DC, USA, August 2018

Comparison on Feature Extraction Methodologies for Sleepiness Detection Using Electroencephalography

Jung Ah Park†, Hyun-Soo Choi†, Jee Eun Yoon, Sungroh Yoon, and Chang-Ho Yun*

Proceedings of the Sleep, Baltimore, USA, June 2018

Deep Recurrent Neural Network-Based Identification of Precursor microRNAs

Seunghyun Park, Seonwoo Min, Hyun-Soo Choi, and Sungroh Yoon*

Proceedings of the Annual Conference on Neural Information Processing Systems, Long Beach, USA, December 2017

Prediction of Drug Classes with a Convolutional Neural Network using Drug Targets and Chemical Structure Data

Jeonghee Jo, Hyun-Soo Choi, and Sungroh Yoon*

the Annual Conference on Neural Information Processing Systems (NIPS) Workshop on Machine Learning in Computational Biology, Long Beach, USA, Dec 2017. [Spotlight]

Biometric Authentication Using Noisy Electrocardiograms Acquired by Mobile Sensors

Hyun-Soo Choi, Byunghan Lee, and Sungroh Yoon*

IEEE Access, vol.4, pp.1266-1273, March 2016

FingerNet: Deep Learning-Based Robust Finger Joint Detection from Radiographs

Sungmin Lee, Minsuk Choi, Hyun-Soo Choi, and Sungroh Yoon*

Proceedings of IEEE Biomedical Circuits and Systems Conference, pp. 619-622, Atlanta, USA, October 2015.

Graph-Based Binning Method for Clustering 16s rRNA Sequences into OTUs

Hyun-Soo Choi, Seunghyun Park, Chulwoo Kim, and Sungroh Yoon*

Proceedings of the 28th International Technical Conference on Circuits/Systems, Computers and Communications, Yeosu, Korea, July 2013.