A Full Diversity Full Rate 4-Antenna Alamouti Code. - Wei Bai; Jingxing Fu; Younghak Kim (PIMRC, 2005)

Reverse-link macrodiversity in CDMa distributed antenna systems with imperfect channel estimation. - Peng Chen 009; Jingxing Fu; Young-Hak Kim; Yun-Sang Park (WCNC, 2006)

A novel power allocation scheme for orthogonal space-time block code systems. - Jingxing Fu; Young-Hak Kim; Yun-Sang Park; Jing Wang (IEEE Commun. Lett., 2006)

Correction to "Coded Diversity on Block-Fading Channels". - Jingxing Fu; Young-Hak Kim; Yun-Sang Park; Jing Wang; Peng Chen 009; Wei Bai (IEEE Trans. Inf. Theory, 2006)

Effects of Correlative Coding on OFDM Systems for Intercarrier-Interference Suppression. - Wei Bai; Younghak Kim (IEEE Trans. Veh. Technol., 2007)

GPU based cloud system for high-performance arrhythmia detection with parallel k-NN algorithm. - Tae Joon Jun; Hyun Ji Park; Hyuk Yoo; Young-Hak Kim; Daeyoung Kim 001 (EMBC, 2016)

Premature Ventricular Contraction Beat Detection with Deep Neural Networks. - Tae Joon Jun; Hyun Ji Park; Hoang Minh Nguyen 001; Daeyoung Kim 001; Young-Hak Kim (ICMLA, 2016)

Thin-Cap Fibroatheroma Detection with Deep Neural Networks. - Tae Joon Jun; Soo-Jin Kang; June-Goo Lee; Jihoon Kweon; Wonjun Na; Daeyoun Kang; Dohyeun Kim; Daeyoung Kim 001; Young-Hak Kim (ICONIP (4), 2017)

An Interpretable ICU Mortality Prediction Model Based on Logistic Regression and Recurrent Neural Networks with LSTM Units. - Wendong Ge; Jin-Won Huh; Yu Rang Park; Jae Ho Lee; Young-Hak Kim; Alexander Turchin (AMIA, 2018)

Prediction of FFR from IVUS Images Using Machine Learning. - Geena Kim; June-Goo Lee; Soo-Jin Kang; Paul Ngyuen; Do-Yoon Kang; Pil Hyung Lee; Jung-Min Ahn; Duk-Woo Park; Seung-Whan Lee; Young-Hak Kim; Cheol Whan Lee; Seong-Wook Park; et al. (CVII-STENT/LABELS@MICCAI, 2018)

ECG arrhythmia classification using a 2-D convolutional neural network. - Tae Joon Jun; Hoang Minh Nguyen 001; Daeyoun Kang; Dohyeun Kim; Daeyoung Kim 001; Young-Hak Kim (CoRR, 2018)

Energy-Efficient Routing Using Genetic Algorithm in Cluster-Based Wireless Sensor Networks. - Jaemin Kim; Younghak Kim; Younghwan Yoo (VTC Fall, 2019)

Segmentation of the Main Vessel of the Left Anterior Descending Artery Using Selective Feature Mapping in Coronary Angiography. - Kyungmin Jo; Jihoon Kweon; Young-Hak Kim; Jaesoon Choi (IEEE Access, 2019)

T-Net: Encoder-Decoder in Encoder-Decoder architecture for the main vessel segmentation in coronary angiography. - Tae Joon Jun; Jihoon Kweon; Young-Hak Kim; Daeyoung Kim 001 (CoRR, 2019)

Automated detection of vulnerable plaque in intravascular ultrasound images. - Tae Joon Jun; Soo-Jin Kang; June-Goo Lee; Jihoon Kweon; Wonjun Na; Daeyoun Kang; Dohyeun Kim; Daeyoung Kim 001; Young-Hak Kim (Medical Biol. Eng. Comput., 2019)

Usage Pattern Changes of a Mobile Personal Health Records Functions During 9 years According to Version Upgrades. - Do-Hoon Kim; Yura Lee; Ji Seon Oh; Dongwoo Seo; Kye Hwa Lee; Young-Hak Kim; Woo-Sung Kim; Jae-Ho Lee (AMIA, 2020)

T-Net: Nested encoder-decoder architecture for the main vessel segmentation in coronary angiography. - Tae Joon Jun; Jihoon Kweon; Young-Hak Kim; Daeyoung Kim 001 (Neural Networks, 2020)

Deep Reinforcement Learning for Guidewire Navigation in Coronary Artery Phantom. - Jihoon Kweon; Kyunghwan Kim; Chaehyuk Lee; Hwi Kwon; Jinwoo Park; Kyoseok Song; Young In Kim; Jeeone Park; Inwook Back; Jae-Hyung Roh; Youngjin Moon; Jaesoon Choi; et al. (IEEE Access, 2021)

xECGNet: Fine-tuning attention map within convolutional neural network to improve detection and explainability of concurrent cardiac arrhythmias. - Jungsun Yoo; Tae Joon Jun; Young-Hak Kim (Comput. Methods Programs Biomed., 2021)

Unifying Heterogenous Electronic Health Records Systems via Text-Based Code Embedding. - Kyunghoon Hur; Jiyoung Lee; Jungwoo Oh; Wesley Price; Young-Hak Kim; Edward Choi (CoRR, 2021)

TRk-CNN: Transferable Ranking-CNN for image classification of glaucoma, glaucoma suspect, and normal eyes. - Tae Joon Jun; Youngsub Eom; Dohyeun Kim; Cherry Kim; Ji-Hye Park; Hoang Minh Nguyen 001; Young-Hak Kim; Daeyoung Kim 001 (Expert Syst. Appl., 2021)

CardioNet: a manually curated database for artificial intelligence-based research on cardiovascular diseases. - Imjin Ahn; Wonjun Na; OSung Kwon; Dong Hyun Yang; Gyung-Min Park; Hansle Gwon; Hee-Jun Kang; Yeon Uk Jeong; Jungsun Yoo; Yunha Kim; Tae Joon Jun; Young-Hak Kim (BMC Medical Informatics Decis. Mak., 2021)

Unifying Heterogeneous Electronic Health Records Systems via Text-Based Code Embedding. - Kyunghoon Hur; Jiyoung Lee; Jungwoo Oh; Wesley Price; Younghak Kim; Edward Choi (CHIL, 2022)

RIDAB: Electronic medical record-integrated real world data platform for predicting and summarizing interactions in biomedical research from heterogeneous data resources. - Yunha Kim; Imjin Ahn; Ha Na Cho; Hansle Gwon; Hee-Jun Kang; Hyeram Seo; Heejung Choi; Kyu-Pyo Kim; Tae Joon Jun; Young-Hak Kim (Comput. Methods Programs Biomed., 2022)

UniHPF : Universal Healthcare Predictive Framework with Zero Domain Knowledge. - Kyunghoon Hur; Jungwoo Oh; Junu Kim; Jiyoun Kim; Min Jae Lee; Eunbyeol Cho; Seong-Eun Moon; Young-Hak Kim; Edward Choi (CoRR, 2022)

Development of Force Sensor System Based on Tri-Axial Fiber Bragg Grating with Flexure Structure. - Dongjoo Shin; Hyeong-U. Kim; Atul Kulkarni; Young-Hak Kim; Taesung Kim (Sensors, 2022)

Multi-Modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-Training. - Jong Hak Moon; Hyungyung Lee; Woncheol Shin; Young-Hak Kim; Edward Choi (IEEE J. Biomed. Health Informatics, 2022)

NOTE: Notable generation Of patient Text summaries through Efficient approach based on direct preference optimization. - Imjin Ahn; Hansle Gwon; Young-Hak Kim; Tae Joon Jun; Sanghyun Park (CoRR, 2024)

InMD-X: Large Language Models for Internal Medicine Doctors. - Hansle Gwon; Imjin Ahn; Hyoje Jung; Byeolhee Kim; Young-Hak Kim; Tae Joon Jun (CoRR, 2024)

Enhancing Clinical Efficiency through LLM: Discharge Note Generation for Cardiac Patients. - Hyoje Jung; Yunha Kim; Heejung Choi; Hyeram Seo; Minkyoung Kim; JiYe Han; Gaeun Kee; Seohyun Park; Soyoung Ko; Byeolhee Kim; Suyeon Kim; Tae Joon Jun; et al. (CoRR, 2024)

Multi-Response Preference Optimization with Augmented Ranking Dataset. - Hansle Gwon; Imjin Ahn; Young-Hak Kim; Sanghyun Park; Tae Joon Jun (CoRR, 2024)

Mitigating Adversarial Attacks in LLMs through Defensive Suffix Generation. - Minkyoung Kim; Yunha Kim; Hyeram Seo; Heejung Choi; JiYe Han; Gaeun Kee; Soyoung Ko; Hyoje Jung; Byeolhee Kim; Young-Hak Kim; Sanghyun Park; Tae Joon Jun (CoRR, 2024)

LDP-GAN : Generative adversarial networks with local differential privacy for patient medical records synthesis. - Hansle Gwon; Imjin Ahn; Yunha Kim; Hee-Jun Kang; Hyeram Seo; Heejung Choi; Ha Na Cho; Minkyoung Kim; JiYe Han; Gaeun Kee; Seohyun Park; Kye Hwa Lee; et al. (Comput. Biol. Medicine, 2024)

GenHPF: General Healthcare Predictive Framework for Multi-Task Multi-Source Learning. - Kyunghoon Hur; Jungwoo Oh; Junu Kim; Jiyoun Kim; Min Jae Lee; Eunbyeol Cho; Seong-Eun Moon; Young-Hak Kim; Louis Atallah; Edward Choi (IEEE J. Biomed. Health Informatics, 2024)

Explainable predictions of a machine learning model to forecast the postoperative length of stay for severe patients: machine learning model development and evaluation. - Ha Na Cho; Imjin Ahn; Hansle Gwon; Hee-Jun Kang; Yunha Kim; Hyeram Seo; Heejung Choi; Minkyoung Kim; JiYe Han; Gaeun Kee; Seohyun Park; Tae Joon Jun; et al. (BMC Medical Informatics Decis. Mak., 2024)

Leveraging BERT for embedding ICD codes from large scale cardiovascular EMR data to understand patient diagnostic patterns. - Minkyoung Kim; Yunha Kim; Hee-Jun Kang; Hyeram Seo; Heejung Choi; JiYe Han; Gaeun Kee; Soyoung Ko; Hyoje Jung; Byeolhee Kim; Boeun Choi; Tae Joon Jun; et al. (BMC Medical Informatics Decis. Mak., 2025)