Category / Journal
Sample-efficient Adversarial Imitation Learning
Dahuin Jung, Hyungyu Lee, Sungroh Yoon, Journal of Machine Learning Research (JMLR), vol. 25, no. 31, January 2024. [A preliminary version appeared in NeurIPS 2022 Workshop on Deep Reinforcement Learning Workshop, New Orleans, USA, December 2022]
paper link arXiv
AIVariant: a deep learning based somatic variant detector for highly contaminated tumor samples
Hyeonseong Jeon, Junhak Ahn, Byunggook Na, Soona Hong, Sun Kim, Sungroh Yoon, Daehyun Baek, Experimental & Molecular Medicine, https://doi.org/10.1038/s12276-023-01049-2, August 2023.
paper link
Deep learning-based prediction for significant coronary artery stenosis on coronary computed tomography angiography in asymptomatic populations
Heesun Lee, Bong Gyun Kang, Jeonghee Jo, Hyo Eun Park, Sungroh Yoon, Su-Yeon Choi, Min J. Kim, Frontiers in Cardiovascular Medicine, doi: 10.3389/fcvm.2023.1167468, June 2023.
paper link
Improving generalization performance of electrocardiogram classification models
Hyeongrok Han, Seongjae Park, Seonwoo Min, Eunji Kim, HyunGi Kim, Sangha Park, Jinkook Kim, Junsang Park, Junho An, Kwanglo Lee, Wonsun Jeong, Sangil Chon, Kwonwoo Ha, Myungkyu Han, Hyun-Soo Choi, Sungroh Yoon, Physiological Measurement, vol. 44, no. 5, page 054003, May 2023.
paper link
Robust End-to-End Focal Liver Lesion Detection using Unregistered Multiphase Computed Tomography Images
Sang-gil Lee, Eunji Kim, Jae Seok Bae, Jung Hoon Kim, Sungroh Yoon, IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 7, no. 2, pp. 319-329, April 2023.
paper link arXiv