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Jong Chul Ye

korea advanced institute of science & technology (kaist)

65H-index
654Paper Count
1.7WCitation Count
Published Papers 122
Publication Date
Guest Editorial for Part 2 of the Special Issue on the Mathematics of Deep Learning [From the Guest Editors]
err2026-06-12
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PREAI
errLaura Balzano; Joan Bruna Estrach; Gitta Kutyniok; Robert Nowak; Jong Chul Ye
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Image quality improvement of liver ultrasound using unsupervised deep learning
err2026-04-28
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PREAI
errHuh, Jaeyoung; Choi, Joo Hyeok; Lee, Eun Sun; Ye, Jong Chul; Lee, Jeong Eun; Park, Hyun Jeong; Choi, Byung Ihn
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Read like a radiologist: Efficient vision-language model for 3D medical imaging interpretation
err2026-04-08
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PREAI
errChangsun Lee; Sangjoon Park; Cheong Il Shin; Woo Hee Choi; Hyun Jeong Park; Jeong Eun Lee; Jong Chul Ye
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Guest Editorial Special Issue on Advancements in Foundation Models for Medical Imaging
err2025-10-27
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PREAI
errTianming Liu; Dinggang Shen; Jong Chul Ye; Marleen de Bruijne; Wei Liu
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Video Diffusion Posterior Sampling for Seeing Beyond Dynamic Scattering Layers
err2025-08-13
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PREAI
errTaesung Kwon; Gookho Song; Yoosun Kim; Jeongsol Kim; Jong Chul Ye; Mooseok Jang
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Text optimization with latent inversion for non-rigid image editing
err2025-06-28
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PREAI
errYunji Jung; Seokju Lee; Tair Djanibekov; Jong Chul Ye; Hyunjung Shim
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End-to-end breast cancer radiotherapy planning via LMMs with consistency embedding
err2025-06-06
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errOAAI
errKwanyoung Kim; Yujin Oh; Sangjoon Park; Hwa Kyung Byun; Joongyo Lee; Jin Sung Kim; Yong Bae Kim; Jong Chul Ye
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Improving functional correlation of quantification of interstitial lung disease by reducing the vendor difference of CT using generative adversarial network (GAN) style conversion
err2025-02-01
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PREAI
errChoe, Jooae; Hwang, Hye Jeon; Kim, Min Seon; Ye, Jong Chul; Oh, Gyutaek; Lee, Sang Min; Yun, Jihye; Lee, Ho Yun; Sun, Joo Sung; You, Seulgi; Yi, Jaeyoun; Seo, Joon Beom
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Fundus Image Enhancement Through Direct Diffusion Bridges
err2024-12-01
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errOAAI
errKim, Sehui; Chung, Hyungjin; Park, Se Hie; Chung, Eui-Sang; Yi, Kayoung; Ye, Jong Chul
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LLM-driven multimodal target volume contouring in radiation oncology
err2024-10-24
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errOAAI
errOh, Yujin; Park, Sangjoon; Byun, Hwa Kyung; Cho, Yeona; Lee, Ik Jae; Kim, Jin Sung; Ye, Jong Chul
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Magnitude and angle dynamics in training single ReLU neurons
err2024-10-01
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errOAAI
errLee, Sangmin; Sim, Byeongsu; Ye, Jong Chul
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Coronary plaque phenotype associated with positive remodeling
err2024-07-01
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PREAI
errKinoshita, Daisuke; Suzuki, Keishi; Yuki, Haruhito; Niida, Takayuki; Fujimoto, Daichi; Minami, Yoshiyasu; Dey, Damini; Lee, Hang; Mcnulty, Iris; Ako, Junya; Ferencik, Maros; Kakuta, Tsunekazu; Ye, Jong Chul; Jang, Ik-Kyung
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End-to-End Semi-Supervised Opportunistic Osteoporosis Screening Using Computed Tomography
err2024-06-30
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errOAAI
errOh, Jieun; Kim, Boah; Oh, Gyutaek; Hwangbo, Yul; Ye, Jong Chul
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Self-supervised multi-modal training from uncurated images and reports enables monitoring AI in radiology
err2024-01-01
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PREAI
errPark, Sangjoon; Lee, Eun Sun; Shin, Kyung Sook; Lee, Jeong Eun; Ye, Jong Chul
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C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation
err2024-01-01
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errOAAI
errKim, Boah; Oh, Yujin; Wood, Bradford J.; Summers, Ronald M.; Ye, Jong Chul
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A novel deep learning model for a computed tomography diagnosis of coronary plaque erosion
err2023-12-27
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errOAAI
errPark, Sangjoon; Yuki, Haruhito; Niida, Takayuki; Suzuki, Keishi; Kinoshita, Daisuke; McNulty, Iris; Broersen, Alexander; Dijkstra, Jouke; Lee, Hang; Kakuta, Tsunekazu; Ye, Jong Chul; Jang, Ik-Kyung
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