Anterior Cruciate Ligament Segmentation from Knee MR Images Using Graph Cuts with Geometric and Probabilistic Shape Constraints. - Hansang Lee; Helen Hong; Junmo Kim 002 (ACCV (2), 2012)

Automatic Image Segmentation Using Saliency Detection and Superpixel Graph Cuts. - Sandeul Kang; Hansang Lee; Jiwhan Kim; Junmo Kim 002 (RiTA, 2012)

High-definition video-based multi-channel top-view vehicle surrounding monitoring system for mobile navigation devices. - SungRyull Sohn; Hansang Lee; Heechul Jung; Junmo Kim 002 (ICCE, 2013)

A novel method for salient object detection via compactness measurement. - Jiwhan Kim; Hansang Lee; Junmo Kim 002 (ICIP, 2013)

Automatic Salient Object Detection Using Principal Component Analysis. - Hansang Lee; Jiwhan Kim; Junmo Kim 002 (RiTA, 2013)

Segmentation of anterior cruciate ligament in knee MR images using graph cuts with patient-specific shape constraints and label refinement. - Hansang Lee; Helen Hong; Junmo Kim 002 (Comput. Biol. Medicine, 2014)

Entropy Minimization for Groupwise Planar Shape Co-alignment and its Applications. - Youngwook Kee; Hansang Lee; Junho Yim; Daniel Cremers; Junmo Kim 002 (IEEE Signal Process. Lett., 2015)

Segmentation of Overlapping Cervical Cells in Microscopic Images with Superpixel Partitioning and Cell-Wise Contour Refinement. - Hansang Lee; Junmo Kim 002 (CVPR Workshops, 2016)

Plankton classification on imbalanced large scale database via convolutional neural networks with transfer learning. - Hansang Lee; Minseok Park; Junmo Kim 002 (ICIP, 2016)

Seed growing for interactive image segmentation with geodesic voting. - Sunjeong Park; Hansang Lee; Junmo Kim 002 (ICIP, 2016)

Multi-atlas segmentation of the cartilage in knee MR images with sequential volume- and bone-mask-based registrations. - Hansang Lee; Hyeun A. Kim; Hyeonjin Kim; Helen Hong; Young Cheol Yoon; Junmo Kim 002 (Computer-Aided Diagnosis, 2016)

Detection and segmentation of small renal masses in contrast-enhanced CT images using texture and context feature classification. - Hansang Lee; Helen Hong; Junmo Kim 002 (ISBI, 2017)

Contextual convolutional neural networks for lung nodule classification using Gaussian-weighted average image patches. - Haeil Lee; Hansang Lee; Minseok Park; Junmo Kim 002 (Computer-Aided Diagnosis, 2017)

Cephalometric landmark detection in dental x-ray images using convolutional neural networks. - Hansang Lee; Minseok Park; Junmo Kim 002 (Computer-Aided Diagnosis, 2017)

BCD-NET: A novel method for cartilage segmentation of knee MRI via deep segmentation networks with bone-cartilage-complex modeling. - Hansang Lee; Helen Hong; Junmo Kim 002 (ISBI, 2018)

Treatment Response Prediction of Hepatocellular Carcinoma Patients from Abdominal CT Images with Deep Convolutional Neural Networks. - Hansang Lee; Helen Hong; Jinsil Seong; Jin Sung Kim; Junmo Kim 002 (PRIME@MICCAI, 2019)

Uni- and Multi-Modal Radiomic Features for the Predicting Prostate Cancer Aggressiveness. - Julip Jung; Helen Hong; Hansang Lee; Sung Il Hwang; Hak Jong Lee (ISBI, 2020)

Survival prediction of liver cancer patients from CT images using deep learning and radiomic feature-based regression. - Hansang Lee; Helen Hong; Jinsil Seong; Jin Sung Kim; Junmo Kim 002 (Computer-Aided Diagnosis, 2020)

A Novel Method for Assessing the Contribution of Harmonic Sources to Voltage Distortion in Power Systems. - Jong-Il Park; Hansang Lee; Minhan Yoon; Chang-Hyun Park (IEEE Access, 2020)

A Proposed Fast Charging and High-Power System for Wireless Railway Trains Adopting the Input Voltage Sharing Topology and the Balancing Control Scheme. - Jaewon Kim; Joon-Hyoung Ryu; Gildong Kim; Jaebum Lee; Sanghoon Chang; Changmu Lee; Joorak Kim; Yong-Kuk Oh; Hansang Lee; Jooha Kim (IEEE Trans. Ind. Electron., 2020)

Noisy Label Classification Using Label Noise Selection with Test-Time Augmentation Cross-Entropy and NoiseMix Learning. - Hansang Lee; Haeil Lee; Helen Hong; Junmo Kim 002 (DALI@MICCAI, 2022)

Test-Time Mixup Augmentation for Data and Class-Specific Uncertainty Estimation in Multi-Class Image Classification. - Hansang Lee; Haeil Lee; Helen Hong; Junmo Kim 002 (CoRR, 2022)

Sensitivity Model-Based Optimal Decentralized Dispatching Strategy of Multi-Terminal DC Links for the Integration of Distributed Generations in Distribution Networks. - Changhee Han; Sungyoon Song; Hansang Lee; Gilsoo Jang (IEEE Trans. Smart Grid, 2022)

DropMix: Reducing Class Dependency in Mixed Sample Data Augmentation. - Haeil Lee; Hansang Lee; Junmo Kim 002 (CoRR, 2023)

GenMix: Combining Generative and Mixture Data Augmentation for Medical Image Classification. - Hansang Lee; Haeil Lee; Helen Hong (CoRR, 2024)

Beta Sampling is All You Need: Efficient Image Generation Strategy for Diffusion Models Using Stepwise Spectral Analysis. - Haeil Lee; Hansang Lee; Seoyeon Gye; Junmo Kim 002 (WACV, 2025)