Hansang Lee
Orcid: 0000-0003-0357-1776
According to our database1,
Hansang Lee
authored at least 26 papers
between 2012 and 2024.
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Bibliography
2024
Beta Sampling is All You Need: Efficient Image Generation Strategy for Diffusion Models using Stepwise Spectral Analysis.
CoRR, 2024
GenMix: Combining Generative and Mixture Data Augmentation for Medical Image Classification.
CoRR, 2024
2023
2022
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, 2022
Test-Time Mixup Augmentation for Data and Class-Specific Uncertainty Estimation in Multi-Class Image Classification.
CoRR, 2022
Noisy Label Classification Using Label Noise Selection with Test-Time Augmentation Cross-Entropy and NoiseMix Learning.
Proceedings of the Data Augmentation, Labelling, and Imperfections, 2022
2020
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., 2020
A Novel Method for Assessing the Contribution of Harmonic Sources to Voltage Distortion in Power Systems.
IEEE Access, 2020
Survival prediction of liver cancer patients from CT images using deep learning and radiomic feature-based regression.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Uni- and Multi-Modal Radiomic Features for the Predicting Prostate Cancer Aggressiveness.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Treatment Response Prediction of Hepatocellular Carcinoma Patients from Abdominal CT Images with Deep Convolutional Neural Networks.
Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019
2018
BCD-NET: A novel method for cartilage segmentation of knee MRI via deep segmentation networks with bone-cartilage-complex modeling.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Cephalometric landmark detection in dental x-ray images using convolutional neural networks.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Contextual convolutional neural networks for lung nodule classification using Gaussian-weighted average image patches.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Detection and segmentation of small renal masses in contrast-enhanced CT images using texture and context feature classification.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2016
Multi-atlas segmentation of the cartilage in knee MR images with sequential volume- and bone-mask-based registrations.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Plankton classification on imbalanced large scale database via convolutional neural networks with transfer learning.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Segmentation of Overlapping Cervical Cells in Microscopic Images with Superpixel Partitioning and Cell-Wise Contour Refinement.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016
2015
IEEE Signal Process. Lett., 2015
2014
Segmentation of anterior cruciate ligament in knee MR images using graph cuts with patient-specific shape constraints and label refinement.
Comput. Biol. Medicine, 2014
2013
Proceedings of the Robot Intelligence Technology and Applications 2, 2013
Proceedings of the IEEE International Conference on Image Processing, 2013
High-definition video-based multi-channel top-view vehicle surrounding monitoring system for mobile navigation devices.
Proceedings of the IEEE International Conference on Consumer Electronics, 2013
2012
Proceedings of the Robot Intelligence Technology and Applications 2012, 2012
Anterior Cruciate Ligament Segmentation from Knee MR Images Using Graph Cuts with Geometric and Probabilistic Shape Constraints.
Proceedings of the Computer Vision, 2012