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2020 – today
- 2024
[i5]Hansang Lee, Haeil Lee, Helen Hong:
GenMix: Combining Generative and Mixture Data Augmentation for Medical Image Classification. CoRR abs/2405.20650 (2024)- [i4]Haeil Lee, Hansang Lee, Seoyeon Gye, Junmo Kim:
Beta Sampling is All You Need: Efficient Image Generation Strategy for Diffusion Models using Stepwise Spectral Analysis. CoRR abs/2407.12173 (2024) - 2023
- [i3]Haeil Lee, Hansang Lee, Junmo Kim:
DropMix: Reducing Class Dependency in Mixed Sample Data Augmentation. CoRR abs/2307.09136 (2023) - 2022
- [j5]Changhee Han
, Sungyoon Song, Hansang Lee, Gilsoo Jang:
Sensitivity Model-Based Optimal Decentralized Dispatching Strategy of Multi-Terminal DC Links for the Integration of Distributed Generations in Distribution Networks. IEEE Trans. Smart Grid 13(5): 4022-4034 (2022) - [c17]Hansang Lee, Haeil Lee, Helen Hong, Junmo Kim:
Noisy Label Classification Using Label Noise Selection with Test-Time Augmentation Cross-Entropy and NoiseMix Learning. DALI@MICCAI 2022: 74-82 - [i2]Hansang Lee, Haeil Lee, Helen Hong, Junmo Kim:
Test-Time Mixup Augmentation for Data and Class-Specific Uncertainty Estimation in Multi-Class Image Classification. CoRR abs/2212.00214 (2022) - [i1]Hansang Lee, Haeil Lee, Helen Hong, Junmo Kim:
Noisy Label Classification using Label Noise Selection with Test-Time Augmentation Cross-Entropy and NoiseMix Learning. CoRR abs/2212.00479 (2022) - 2020
- [j4]Jong-Il Park, Hansang Lee, Minhan Yoon, Chang-Hyun Park:
A Novel Method for Assessing the Contribution of Harmonic Sources to Voltage Distortion in Power Systems. IEEE Access 8: 76568-76579 (2020) - [j3]Jaewon Kim, Joon-Hyoung Ryu, Gildong Kim, Jaebum Lee, Sanghoon Chang, Changmu Lee, Joorak Kim, Yong-Kuk Oh, Hansang Lee, Jooha Kim:
A Proposed Fast Charging and High-Power System for Wireless Railway Trains Adopting the Input Voltage Sharing Topology and the Balancing Control Scheme. IEEE Trans. Ind. Electron. 67(8): 6407-6417 (2020) - [c16]Julip Jung, Helen Hong, Hansang Lee, Sung Il Hwang, Hak Jong Lee:
Uni- and Multi-Modal Radiomic Features for the Predicting Prostate Cancer Aggressiveness. ISBI 2020: 1-4 - [c15]Hansang Lee, Helen Hong, Jinsil Seong, Jin Sung Kim, Junmo Kim:
Survival prediction of liver cancer patients from CT images using deep learning and radiomic feature-based regression. Medical Imaging: Computer-Aided Diagnosis 2020
2010 – 2019
- 2019
- [c14]Hansang Lee, Helen Hong, Jinsil Seong, Jin Sung Kim, Junmo Kim:
Treatment Response Prediction of Hepatocellular Carcinoma Patients from Abdominal CT Images with Deep Convolutional Neural Networks. PRIME@MICCAI 2019: 168-176 - 2018
- [c13]Hansang Lee, Helen Hong, Junmo Kim:
BCD-NET: A novel method for cartilage segmentation of knee MRI via deep segmentation networks with bone-cartilage-complex modeling. ISBI 2018: 1538-1541 - 2017
- [c12]Hansang Lee, Helen Hong, Junmo Kim:
Detection and segmentation of small renal masses in contrast-enhanced CT images using texture and context feature classification. ISBI 2017: 583-586 - [c11]Hansang Lee, Minseok Park, Junmo Kim:
Cephalometric landmark detection in dental x-ray images using convolutional neural networks. Medical Imaging: Computer-Aided Diagnosis 2017: 101341W - [c10]Haeil Lee, Hansang Lee, Minseok Park, Junmo Kim:
Contextual convolutional neural networks for lung nodule classification using Gaussian-weighted average image patches. Medical Imaging: Computer-Aided Diagnosis 2017: 1013423 - 2016
- [c9]Hansang Lee, Junmo Kim:
Segmentation of Overlapping Cervical Cells in Microscopic Images with Superpixel Partitioning and Cell-Wise Contour Refinement. CVPR Workshops 2016: 1367-1373 - [c8]Sunjeong Park, Hansang Lee, Junmo Kim:
Seed growing for interactive image segmentation with geodesic voting. ICIP 2016: 2564-2568 - [c7]Hansang Lee, Minseok Park, Junmo Kim:
Plankton classification on imbalanced large scale database via convolutional neural networks with transfer learning. ICIP 2016: 3713-3717 - [c6]Hansang Lee, Hyeun A. Kim, Hyeonjin Kim, Helen Hong, Young Cheol Yoon, Junmo Kim:
Multi-atlas segmentation of the cartilage in knee MR images with sequential volume- and bone-mask-based registrations. Medical Imaging: Computer-Aided Diagnosis 2016: 97853H - 2015
- [j2]Youngwook Kee, Hansang Lee, Junho Yim, Daniel Cremers, Junmo Kim:
Entropy Minimization for Groupwise Planar Shape Co-alignment and its Applications. IEEE Signal Process. Lett. 22(11): 1922-1926 (2015) - 2014
- [j1]Hansang Lee, Helen Hong, Junmo Kim:
Segmentation of anterior cruciate ligament in knee MR images using graph cuts with patient-specific shape constraints and label refinement. Comput. Biol. Medicine 55: 1-10 (2014) - 2013
- [c5]SungRyull Sohn, Hansang Lee, Heechul Jung, Junmo Kim:
High-definition video-based multi-channel top-view vehicle surrounding monitoring system for mobile navigation devices. ICCE 2013: 655-656 - [c4]Jiwhan Kim, Hansang Lee, Junmo Kim:
A novel method for salient object detection via compactness measurement. ICIP 2013: 3426-3430 - [c3]Hansang Lee, Jiwhan Kim, Junmo Kim:
Automatic Salient Object Detection Using Principal Component Analysis. RiTA 2013: 717-723 - 2012
- [c2]Hansang Lee, Helen Hong, Junmo Kim:
Anterior Cruciate Ligament Segmentation from Knee MR Images Using Graph Cuts with Geometric and Probabilistic Shape Constraints. ACCV (2) 2012: 305-315 - [c1]Sandeul Kang, Hansang Lee, Jiwhan Kim, Junmo Kim:
Automatic Image Segmentation Using Saliency Detection and Superpixel Graph Cuts. RiTA 2012: 1023-1034
Coauthor Index
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