교수소개
컴퓨터공학과
 대학원 컴퓨터공학과 교수소개
이름
최현수
전공
기계학습, 딥러닝, 패턴인식
TEL
02-970-6711
E-mail
choi.hyunsoo@seoultech.ac.kr
연구실
미래관 224호
학력
고려대학교 컴퓨터통신공학부 공학사
서울대학교 전기컴퓨터공학부 공학박사
주요 경력
2020 ~ 2021 SK Telecom 연구원
2021 ~ 2023 강원대학교 컴퓨터공학과 조교수
2021 ~ ㈜지오비전 CTO
연구 분야
기계학습, 딥러닝, 패턴인식
담당 교과목
자연어처리, 객체지향프로그래밍
저널 논문
PixelSteganalysis: Pixel-wise Hidden Information Removal with Low Visual Degradation, IEEE Transactions on Dependable and Secure Computing (TDSC), in press

ConBERT: A Concatenation of Bidirectional Transformers for Standardization of Operative Reports from Electronic Medical Records, Applied Science, 12(21), Nov 2022

Predicting progression to dementia with “comprehensive visual rating scale” and machine learning algorithms, Frontiers in Neurology, 13, Aug 2022

Imbalanced Data Classification via Cooperative Training of Classifier and Generative Adversarial Networks, IEEE Transactions on Neural Networks and Learning Systems, 33 (8), Aug 2022

Computer Aided Facial Bone Fracture Diagnosis (CA-FBFD) System Based on Object Detection Model, 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, Cancers, 14 (13), pp 3174, Jun 2022

DNA Privacy: Analyzing Malicious DNA Sequences using Deep Neural Networks, 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, Journal of Personalized Medicine, 12(4), 521, Mar 2022

Pre-Training of Deep Bidirectional Protein Sequence Representations with Structural Information,IEEE Access, vol. 9, pp 123912 - 123926, Sep 2021

The Message Passing Neural Networks for Chemical Property Prediction on SMILES, Methods, vol. 179, pp. 65-72, July 2020
◾ Very fast, high-resolution aggregation 3D detection CAM to quickly and accurately find facial fracture areas, COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, vol.256, 2024최현수
◾ Multi-modality multi-task model for mRS prediction using diffusion-weighted resonance imaging, SCIENTIFIC REPORTS, vol.14 No.1, 2024최현수
◾ Deep Learning-Based Real-Time Organ Localization and Transit Time Estimation in Wireless Capsule Endoscopy, BIOMEDICINES, vol.12 No.8, 2024최현수
◾ A Comprehensive Study on a Deep-Learning-Based Electrocardiography Analysis for Estimating the Apnea-Hypopnea Index, DIAGNOSTICS, vol.14 No.11, 2024최현수
◾ A Deep Learning-Based Approach for Prediction of Vancomycin Treatment Drug Monitoring: Retrospective Data of Critically Ill Patients, JMIR Formative Research, vol.8, 2024최현수
◾ Explicit Feature Interaction-Aware Graph Neural Network, IEEE ACCESS, vol.12 pp.15438~15446, 2024최현수
◾ Early Prediction of Mortality for Septic Patients Visiting Emergency Room Based on Explainable Machine Learning: A Real-World Multicenter Study, JOURNAL OF KOREAN MEDICAL SCIENCE, vol.39 No.5, 2024최현수
◾ In-Advance Prediction of Pressure Ulcers via Deep-Learning-Based Robust Missing Value Imputation on Real-Time Intensive Care Variables, Journal of Clinical Medicine, vol.13 No.1, 2023최현수
◾ Improving generalization performance of electrocardiogram classification models, PHYSIOLOGICAL MEASUREMENT, vol.44 No.5, 2023최현수
◾ PixelSteganalysis: Pixel-Wise Hidden Information Removal With Low Visual Degradation, IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, vol.20 No.1 pp.331~342, 2023최현수
◾ Multi-View Computed Tomography Network for Osteoporosis Classification, IEEE ACCESS, vol.11 pp.22297~22306, 2023최현수
학술대회
Towards a Rigorous Evaluation of Time-series Anomaly Detection, Proceedings of Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Towards High Generalization Performance on Electrocardiogram Classification, 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, Proceedings of Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020, Hawaii, USA, February 2021

AnomiGAN: Generative adversarial networks for anonymizing private medical data, Proceedings of Pacific Symposium on Biocomputing (PSB), Hawaii, USA, January 2020
◾ 홍원석, 박인서, 이현원, 홍권, 최현수, 의료 이미지 인공지능관련 Foundation 모델의 연구 동향, 2024년도 한국통신학회 동계종합학술발표회, 용평리조트, 2024최현수
◾ 이현원, 홍권, 홍원석, 최현수, 기계학습 및 심층학습에서의 인과추론의 연구 동향, 2024년도 한국통신학회 추계종합학술발표회, 용평리조트, 2024최현수
◾ 홍권, 이현원, 홍원석, 최현수, 증분학습의 방법론과 최신 연구 동향, 2024년도 한국통신학회 추계종합학술발표회, 용평리조트, 2024최현수
◾ Hyun-Soo Choi; Gwiseong Moon; Donghwan Hwang; Doohee Lee; Yeonjin Jeong; Yoon Kim; Woo Jin Kim; Kunyong Sung; Jongwoo Han; Heecheol Kim; Jungsub Oh; Sanghyun Jo;, FaBoA: Computed Tomography-based Facial Bone Fracture Analysis Solution, Head & Neck Imaging Monday Poster Discussions II, McCormick Place, Chicago, 2023최현수
◾ Hyeongrok Han, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon*, Proceedings of 40th International Conference on Machine Learning (ICML), Proceedings of 40th International Conference on Machine Learning (ICML), Honolulu, 2023최현수
[01811] 서울 노원구 공릉로 232 서울과학기술대학교 정보통신대학 Tel : 02-970-3413 Fax : 02-970-6197
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