Automatic detection of hemorrhage and surgical instrument in laparoscopic surgery image. - Kyungmin Jo; Bareum Choi; Songe Choi; Youngjin Moon; Jaesoon Choi (EMBC, 2016)

Surgical-tools detection based on Convolutional Neural Network in laparoscopic robot-assisted surgery. - Bareum Choi; Kyungmin Jo; Songe Choi; Jaesoon Choi (EMBC, 2017)

Automatic Vessel Detection Technique in Laparoscopic Surgical Imaging Including Surgical Instruments. - Kyungmin Jo; Jaesoon Choi (EMBC, 2018)

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)

Evaluation of Out-of-Distribution Detection Performance of Self-Supervised Learning in a Controllable Environment. - Jeonghoon Park; Kyungmin Jo; Daehoon Gwak; Jimin Hong; Jaegul Choo; Edward Choi (CoRR, 2020)

CG-NeRF: Conditional Generative Neural Radiance Fields. - Kyungmin Jo; Gyumin Shim; Sanghun Jung; Soyoung Yang; Jaegul Choo (CoRR, 2021)

Perspective Projection-Based 3d CT Reconstruction from Biplanar X-Rays. - Daeun Kyung; Kyungmin Jo; Jaegul Choo; Joonseok Lee; Edward Choi (ICASSP, 2023)

3D-Aware Generative Model for Improved Side-View Image Synthesis. - Kyungmin Jo; Wonjoon Jin; Jaegul Choo; Hyunjoon Lee; Sunghyun Cho (ICCV, 2023)

CG-NeRF: Conditional Generative Neural Radiance Fields for 3D-aware Image Synthesis. - Kyungmin Jo; Gyumin Shim; Sanghun Jung; Soyoung Yang; Jaegul Choo (WACV, 2023)

SideGAN: 3D-Aware Generative Model for Improved Side-View Image Synthesis. - Kyungmin Jo; Wonjoon Jin; Jaegul Choo; Hyunjoon Lee; Sunghyun Cho (CoRR, 2023)

Devil is in the Detail: Towards Injecting Fine Details of Image Prompt in Image Generation via Conflict-free Guidance and Stratified Attention. - Kyungmin Jo; Jooyeol Yun; Jaegul Choo (CVPR, 2025)

Skip-and-Play: Depth-Driven Pose-Preserved Image Generation for Any Objects. - Kyungmin Jo; Jaegul Choo (WACV, 2025)