Phase-Based Nonrigid Deformation for Digital Subtraction Angiography. - Soochahn Lee; Changho Jeon; Leonard Sunwoo; Dong Yul Oh; Kyong Joon Lee (IEEE Access, 2019)

Unpaired Deep Learning for Accelerated MRI Using Optimal Transport Driven CycleGAN. - Gyutaek Oh; Byeongsu Sim; Hyungjin Chung; Leonard Sunwoo; Jong Chul Ye (IEEE Trans. Computational Imaging, 2020)

k-Space Deep Learning for Accelerated MRI. - Yoseob Han; Leonard Sunwoo; Jong Chul Ye (IEEE Trans. Medical Imaging, 2020)

Two-stage deep learning for accelerated 3D time-of-flight MRA without matched training data. - Hyungjin Chung; Eunju Cha; Leonard Sunwoo; Jong Chul Ye (Medical Image Anal., 2021)

Impact of Diffusion-Perfusion Mismatch on Predicting Final Infarction Lesion Using Deep Learning. - Sungdong Lee; Leonard Sunwoo; Youngwon Choi; Jae Hyup Jung; Seung Chai Jung; Joong-Ho Won (IEEE Access, 2022)

Intracranial steno-occlusive lesion detection on time-of-flight MR angiography using multi-task learning. - Dongjun Choi; Tackeun Kim; Jinhee Jang; Leonard Sunwoo; Kyong Joon Lee (Comput. Medical Imaging Graph., 2023)

Unified Chest X-ray and Radiology Report Generation Model with Multi-view Chest X-rays. - Hyungyung Lee; Da Young Lee; Wonjae Kim; Jin-Hwa Kim; Tackeun Kim; Jihang Kim; Leonard Sunwoo; Edward Choi (CoRR, 2023)

Vision-Language Generative Model for View-Specific Chest X-ray Generation. - Hyungyung Lee; Da Young Lee; Wonjae Kim; Jin-Hwa Kim; Tackeun Kim; Jihang Kim; Leonard Sunwoo; Edward Choi (CHIL, 2024)

Extracting lung cancer staging descriptors from pathology reports: A generative language model approach. - Hyeongmin Cho; Sooyoung Yoo; Borham Kim; Sowon Jang; Leonard Sunwoo; Sanghwan Kim; Donghyoung Lee; Seok Kim; Sejin Nam; Jin-Haeng Chung (J. Biomed. Informatics, 2024)

De-identification of clinical notes with pseudo-labeling using regular expression rules and pre-trained BERT. - Jiyong An; Jiyun Kim; Leonard Sunwoo; Hyunyoung Baek; Sooyoung Yoo; Seunggeun Lee (BMC Medical Informatics Decis. Mak., 2025)