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Kyung Sang Kim
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2020 – today
- 2025
- [j12]Wonkyeong Lee, Fabian Wagner, Adrian Galdran, Yongyi Shi, Wenjun Xia, Ge Wang, Xuanqin Mou, Md. Atik Ahamed, Abdullah Al Zubaer Imran, Ji Eun Oh, Kyungsang Kim, Jong Tak Baek, Dongheon Lee, Boohwi Hong, Philip Tempelman, Donghang Lyu, Adrian Kuiper, Lars van Blokland, Maria Baldeon Calisto, Scott S. Hsieh, Minah Han, Jongduk Baek, Andreas Maier, Adam Wang, Garry Evan Gold, Jang-Hwan Choi
:
Low-dose computed tomography perceptual image quality assessment. Medical Image Anal. 99: 103343 (2025) - 2024
- [c16]Byung-Hoon Kim, Jungwon Choi, EungGu Yun, Kyungsang Kim, Xiang Li, Juho Lee:
Learning Dynamic Brain Connectome with Graph Transformers for Psychiatric Diagnosis Classification. ISBI 2024: 1-5 - [c15]Siyeop Yoon
Volumetric Conditional Score-Based Residual Diffusion Model for PET/MR Denoising. MICCAI (7) 2024: 754-763 - [i17]Sekeun Kim, Hui Ren, Peng Guo, Abder-Rahman Ali, Patrick Zhang, Kyungsang Kim, Xiang Li, Quanzheng Li:
Prompt-driven Universal Model for View-Agnostic Echocardiography Analysis. CoRR abs/2404.05916 (2024) - [i16]Tianpeng Zhang, Sekeun Kim, Jerome Charton, Haitong Ma, Kyungsang Kim, Na Li, Quanzheng Li:
Autonomous Robotic Ultrasound System for Liver Follow-up Diagnosis: Pilot Phantom Study. CoRR abs/2405.05787 (2024) - [i15]Yujin Oh, Sangjoon Park, Xiang Li, Wang Yi, Jonathan Paly, Jason Efstathiou, Annie Chan, Jun Won Kim, Hwa Kyung Byun, Ik Jae Lee, Jaeho Cho, Chan Woo Wee, Peng Shu, Peilong Wang, Nathan Yu, Jason Holmes, Jong Chul Ye, Quanzheng Li, Wei Liu, Woong Sub Koom, Jin Sung Kim, Kyungsang Kim:
Mixture of Multicenter Experts in Multimodal Generative AI for Advanced Radiotherapy Target Delineation. CoRR abs/2410.00046 (2024) - [i14]Siyeop Yoon, Rui Hu, Yuang Wang, Matthew Tivnan, Young-Don Son, Dufan Wu, Xiang Li, Kyungsang Kim, Quanzheng Li:
Volumetric Conditional Score-based Residual Diffusion Model for PET/MR Denoising. CoRR abs/2410.00184 (2024) - 2023
- [c14]Rui Hu, Yunmei Chen, Kyung Sang Kim, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Quanzheng Li, Huafeng Liu:
DULDA: Dual-Domain Unsupervised Learned Descent Algorithm for PET Image Reconstruction. MICCAI (10) 2023: 153-162 - [i13]Rui Hu, Yunmei Chen, Kyung Sang Kim, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Quanzheng Li, Huafeng Liu:
DULDA: Dual-domain Unsupervised Learned Descent Algorithm for PET image reconstruction. CoRR abs/2303.04661 (2023) - [i12]Byung-Hoon Kim, Jungwon Choi, Eunggu Yun, Kyungsang Kim, Xiang Li, Juho Lee:
Large-scale Graph Representation Learning of Dynamic Brain Connectome with Transformers. CoRR abs/2312.14939 (2023) - 2022
- [j11]Jianan Cui, Kuang Gong, Ning Guo, Kyung Sang Kim, Huafeng Liu, Quanzheng Li:
Unsupervised PET logan parametric image estimation using conditional deep image prior. Medical Image Anal. 80: 102519 (2022) - [c13]Ye Li, Jianan Cui, Junyu Chen, Guodong Zeng, Scott Wollenweber, Floris Jansen, Se-In Jang, Kyung Sang Kim, Kuang Gong, Quanzheng Li:
A Noise-Level-Aware Framework for PET Image Denoising. MLMIR@MICCAI 2022: 75-83 - [c12]Jianan Cui, Yutong Xie, Anand A. Joshi, Kuang Gong, Kyung Sang Kim, Young-Don Son, Jong Hoon Kim, Richard M. Leahy, Huafeng Liu, Quanzheng Li:
PET Denoising and Uncertainty Estimation Based on NVAE Model Using Quantile Regression Loss. MICCAI (4) 2022: 173-183 - [c11]Pengcheng Xu, Kyung Sang Kim, Huafeng Liu, Quanzheng Li:
Attention-Fused CNN Model Compression with Knowledge Distillation for Brain Tumor Segmentation. MIUA 2022: 328-338 - [i11]Jin-Hyun Ahn, Kyung Sang Kim, Jeongwan Koh, Quanzheng Li:
Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning. CoRR abs/2202.00195 (2022) - [i10]Ye Li, Jianan Cui, Junyu Chen, Guodong Zeng, Scott Wollenweber, Floris Jansen, Se-In Jang, Kyung Sang Kim, Kuang Gong, Quanzheng Li:
A Noise-level-aware Framework for PET Image Denoising. CoRR abs/2203.08034 (2022) - 2021
- [j10]Aoxiao Zhong
Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19. Medical Image Anal. 70: 101993 (2021) - 2020
- [j9]Hyoung Suk Park
Low-Dose CT Image Reconstruction With a Deep Learning Prior. IEEE Access 8: 158647-158655 (2020) - [j8]Dufan Wu
Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels. IEEE J. Biomed. Health Informatics 24(12): 3529-3538 (2020) - [c10]Dufan Wu, Kyung Sang Kim, Quanzheng Li:
Digital Breast Tomosynthesis Reconstruction with Deep Neural Network for Improved Contrast and In-Depth Resolution. ISBI 2020: 656-659 - [c9]Kyung Sang Kim, Inki Hong, Young-Don Son, Jong Hoon Kim, Quanzheng Li:
Residual Simplified Reference Tissue Model with Covariance Estimation. ISBI 2020: 777-780 - [i9]Young-Gon Kim, Kyung Sang Kim, Dufan Wu, Hui Ren, Won Young Tak, Soo Young Park, Yu Rim Lee, Min Kyu Kang, Jung Gil Park, Byung Seok Kim, Woo Jin Chung, Mannudeep K. Kalra, Quanzheng Li:
Deep Learning-based Four-region Lung Segmentation in Chest Radiography for COVID-19 Diagnosis. CoRR abs/2009.12610 (2020) - [i8]Aoxiao Zhong, Xiang Li, Dufan Wu, Hui Ren, Kyung Sang Kim, Young-Gon Kim, Varun Buch, Nir Neumark, Bernardo Bizzo, Won Young Tak, Soo Young Park, Yu Rim Lee, Min Kyu Kang, Jung Gil Park, Byung Seok Kim, Woo Jin Chung, Ning Guo, Ittai Dayan, Mannudeep K. Kalra, Quanzheng Li:
Deep Metric Learning-based Image Retrieval System for Chest Radiograph and its Clinical Applications in COVID-19. CoRR abs/2012.03663 (2020)
2010 – 2019
- 2019
- [j7]Tzu-An Song
PET Image Deblurring and Super-Resolution With an MR-Based Joint Entropy Prior. IEEE Trans. Computational Imaging 5(4): 530-539 (2019) - [j6]Kuang Gong
Iterative PET Image Reconstruction Using Convolutional Neural Network Representation. IEEE Trans. Medical Imaging 38(3): 675-685 (2019) - [c8]Dufan Wu, Kuang Gong, Kyung Sang Kim, Xiang Li
Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples. MICCAI (4) 2019: 741-749 - [i7]Dufan Wu, Kuang Gong, Kyung Sang Kim, Quanzheng Li:
Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples. CoRR abs/1906.03639 (2019) - 2018
- [j5]Kyung Sang Kim
Penalized PET Reconstruction Using Deep Learning Prior and Local Linear Fitting. IEEE Trans. Medical Imaging 37(6): 1478-1487 (2018) - [c7]Dufan Wu, Kyung Sang Kim, Bin Dong, Georges El Fakhri, Quanzheng Li:
End-to-End Lung Nodule Detection in Computed Tomography. MLMI@MICCAI 2018: 37-45 - [i6]Kuang Gong, Kyung Sang Kim, Jianan Cui, Ning Guo, Ciprian Catana, Jinyi Qi, Quanzheng Li:
Learning Personalized Representation for Inverse Problems in Medical Imaging Using Deep Neural Network. CoRR abs/1807.01759 (2018) - [i5]Dufan Wu, Kyung Sang Kim, Quanzheng Li:
Computationally Efficient Cascaded Training for Deep Unrolled Network in CT Imaging. CoRR abs/1810.03999 (2018) - 2017
- [j4]Dufan Wu
Iterative Low-Dose CT Reconstruction With Priors Trained by Artificial Neural Network. IEEE Trans. Medical Imaging 36(12): 2479-2486 (2017) - [i4]Dufan Wu, Kyung Sang Kim, Georges El Fakhri, Quanzheng Li:
A Cascaded Convolutional Nerual Network for X-ray Low-dose CT Image Denoising. CoRR abs/1705.04267 (2017) - [i3]Kuang Gong, Jiahui Guan, Kyung Sang Kim, Xuezhu Zhang, Georges El Fakhri, Jinyi Qi, Quanzheng Li:
Iterative PET Image Reconstruction Using Convolutional Neural Network Representation. CoRR abs/1710.03344 (2017) - [i2]Dufan Wu, Kyung Sang Kim, Bin Dong, Quanzheng Li:
End-to-End Abnormality Detection in Medical Imaging. CoRR abs/1711.02074 (2017) - [i1]Kuang Gong, Jaewon Yang, Kyung Sang Kim, Georges El Fakhri, Youngho Seo, Quanzheng Li:
Attenuation Correction for Brain PET imaging using Deep Neural Network based on Dixon and ZTE MR images. CoRR abs/1712.06203 (2017) - 2016
- [c6]Yoseob Han
Sparse-view X-ray spectral CT reconstruction using annihilating filter-based low rank hankel matrix approach. ISBI 2016: 573-576 - 2015
- [j3]Kyung Sang Kim, Jong Chul Ye, William Worstell, Jinsong Ouyang, Yothin Rakvongthai, Georges El Fakhri, Quanzheng Li:
Sparse-View Spectral CT Reconstruction Using Spectral Patch-Based Low-Rank Penalty. IEEE Trans. Medical Imaging 34(3): 748-760 (2015) - 2014
- [j2]Kyung Sang Kim, Young-Don Son, Zang-Hee Cho, Jong Beom Ra, Jong Chul Ye:
Ultra-Fast Hybrid CPU-GPU Multiple Scatter Simulation for 3-D PET. IEEE J. Biomed. Health Informatics 18(1): 148-156 (2014) - [j1]Huisu Yoon, Kyung Sang Kim, Daniel Kim, Yoram Bresler
Motion Adaptive Patch-Based Low-Rank Approach for Compressed Sensing Cardiac Cine MRI. IEEE Trans. Medical Imaging 33(11): 2069-2085 (2014) - [c5]Kyung Sang Kim, Jong Chul Ye:
ECG-gated cardiac CT reconstruction using patch based low rank regularization. ISBI 2014: 437-440 - [c4]Kyung Sang Kim, Jong Chul Ye, Li Cheng, Kui Ying, Georges El Fakhri, Quanzheng Li:
TOF-PET ordered subset reconstruction using non-uniform separable quadratic surrogates algorithm. ISBI 2014: 963-966 - 2013
- [c3]Huisu Yoon, Kyung Sang Kim, Jong Chul Ye:
Motion compensated compressed sensing dynamic MRI with low-rank patch-based residual reconstruction. ISBI 2013: 314-317 - [c2]Kyung Sang Kim, Young-Don Son, Zang-Hee Cho, Jong Beom Ra, Jong Chul Ye:
Globally convergent 3D dynamic PET reconstruction with patch-based non-convex low rank regularization. ISBI 2013: 1158-1161 - 2012
- [c1]Kyung Sang Kim, Young Hoon Seong, Jongha Lee, Kwang Eun Jang, Jong Chul Ye:
Iterative scatter correction for digital tomosynthesis using composition ratio update and GPU based Monte Carlo simulation. ISBI 2012: 1016-1019
Coauthor Index
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