Kyung Sang Kim

According to our database, Kyung Sang Kim authored at least 41 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Low-dose computed tomography perceptual image quality assessment.

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

Medical Image Anal., 2025

2024

Mixture of Multicenter Experts in Multimodal Generative AI for Advanced Radiotherapy Target Delineation.

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

CoRR, 2024

Autonomous Robotic Ultrasound System for Liver Follow-up Diagnosis: Pilot Phantom Study.

Tianpeng Zhang, Sekeun Kim, Jerome Charton, Haitong Ma, Kyungsang Kim, Na Li, Quanzheng Li

CoRR, 2024

Prompt-driven Universal Model for View-Agnostic Echocardiography Analysis.

Sekeun Kim, Hui Ren, Peng Guo, Abder-Rahman Ali, Patrick Zhang, Kyungsang Kim, Xiang Li, Quanzheng Li

CoRR, 2024

Volumetric Conditional Score-Based Residual Diffusion Model for PET/MR Denoising.

Siyeop Yoon, Matthew Tivnan, Rui Hu, Yuang Wang, Young-Don Son, Dufan Wu, Xiang Li, Kyungsang Kim, Quanzheng Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Learning Dynamic Brain Connectome with Graph Transformers for Psychiatric Diagnosis Classification.

Byung-Hoon Kim, Jungwon Choi, EungGu Yun, Kyungsang Kim, Xiang Li, Juho Lee

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Large-scale Graph Representation Learning of Dynamic Brain Connectome with Transformers.

Byung-Hoon Kim, Jungwon Choi, Eunggu Yun, Kyungsang Kim, Xiang Li, Juho Lee

CoRR, 2023

DULDA: Dual-Domain Unsupervised Learned Descent Algorithm for PET Image Reconstruction.

Rui Hu, Yunmei Chen, Kyung Sang Kim, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Quanzheng Li, Huafeng Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Unsupervised PET logan parametric image estimation using conditional deep image prior.

Jianan Cui, Kuang Gong, Ning Guo, Kyung Sang Kim, Huafeng Liu, Quanzheng Li

Medical Image Anal., 2022

Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning.

Jin-Hyun Ahn, Kyung Sang Kim, Jeongwan Koh, Quanzheng Li

CoRR, 2022

Attention-Fused CNN Model Compression with Knowledge Distillation for Brain Tumor Segmentation.

Pengcheng Xu, Kyung Sang Kim, Huafeng Liu, Quanzheng Li

Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

A Noise-Level-Aware Framework for PET Image Denoising.

Ye Li, Jianan Cui, Junyu Chen, Guodong Zeng, Scott Wollenweber, Floris Jansen, Se-In Jang, Kyung Sang Kim, Kuang Gong, Quanzheng Li

Proceedings of the Machine Learning for Medical Image Reconstruction, 2022

PET Denoising and Uncertainty Estimation Based on NVAE Model Using Quantile Regression Loss.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19.

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

Medical Image Anal., 2021

2020

Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels.

Dufan Wu, Kuang Gong, Chiara Daniela Arru, Fatemeh Homayounieh, Bernardo Bizzo, Varun Buch, Hui Ren, Kyung Sang Kim, Nir Neumark, Pengcheng Xu, Zhiyuan Liu, Wei Fang, Nuobei Xie, Won Young Tak, Soo Young Park, Yu Rim Lee, Min Kyu Kang, Jung Gil Park, Alessandro Carriero, Luca Saba, Mahsa Masjedi, Hamidreza Talari, Rosa Babaei, Hadi Karimi Mobin, Shadi Ebrahimian, Ittai Dayan, Mannudeep K. Kalra, Quanzheng Li

IEEE J. Biomed. Health Informatics, 2020

Deep Learning-based Four-region Lung Segmentation in Chest Radiography for COVID-19 Diagnosis.

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

CoRR, 2020

Low-Dose CT Image Reconstruction With a Deep Learning Prior.

Hyoung Suk Park, Kyung Sang Kim, Kiwan Jeon

IEEE Access, 2020

Digital Breast Tomosynthesis Reconstruction with Deep Neural Network for Improved Contrast and In-Depth Resolution.

Dufan Wu, Kyung Sang Kim, Quanzheng Li

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Residual Simplified Reference Tissue Model with Covariance Estimation.

Kyung Sang Kim, Inki Hong, Young-Don Son, Jong Hoon Kim, Quanzheng Li

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Iterative PET Image Reconstruction Using Convolutional Neural Network Representation.

Kuang Gong, Jiahui Guan, Kyung Sang Kim, Xuezhu Zhang, Jaewon Yang, Youngho Seo, Georges El Fakhri, Jinyi Qi, Quanzheng Li

IEEE Trans. Medical Imaging, 2019

PET Image Deblurring and Super-Resolution With an MR-Based Joint Entropy Prior.

Tzu-An Song, Fan Yang, Samadrita Roy Chowdhury, Kyung Sang Kim, Keith A. Johnson, Georges El Fakhri, Quanzheng Li, Joyita Dutta

IEEE Trans. Computational Imaging, 2019

Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples.

Dufan Wu, Kuang Gong, Kyung Sang Kim, Quanzheng Li

CoRR, 2019

Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples.

Dufan Wu, Kuang Gong, Kyung Sang Kim, Xiang Li, Quanzheng Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Penalized PET Reconstruction Using Deep Learning Prior and Local Linear Fitting.

Kyung Sang Kim, Dufan Wu, Kuang Gong, Joyita Dutta, Jong Hoon Kim, Young-Don Son, Hang-Keun Kim, Georges El Fakhri, Quanzheng Li

IEEE Trans. Medical Imaging, 2018

Computationally Efficient Cascaded Training for Deep Unrolled Network in CT Imaging.

Dufan Wu, Kyung Sang Kim, Quanzheng Li

CoRR, 2018

Learning Personalized Representation for Inverse Problems in Medical Imaging Using Deep Neural Network.

Kuang Gong, Kyung Sang Kim, Jianan Cui, Ning Guo, Ciprian Catana, Jinyi Qi, Quanzheng Li

CoRR, 2018

End-to-End Lung Nodule Detection in Computed Tomography.

Dufan Wu, Kyung Sang Kim, Bin Dong, Georges El Fakhri, Quanzheng Li

Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

2017

Iterative Low-Dose CT Reconstruction With Priors Trained by Artificial Neural Network.

Dufan Wu, Kyung Sang Kim, Georges El Fakhri, Quanzheng Li

IEEE Trans. Medical Imaging, 2017

Attenuation Correction for Brain PET imaging using Deep Neural Network based on Dixon and ZTE MR images.

Kuang Gong, Jaewon Yang, Kyung Sang Kim, Georges El Fakhri, Youngho Seo, Quanzheng Li

CoRR, 2017

End-to-End Abnormality Detection in Medical Imaging.

Dufan Wu, Kyung Sang Kim, Bin Dong, Quanzheng Li

CoRR, 2017

Iterative PET Image Reconstruction Using Convolutional Neural Network Representation.

Kuang Gong, Jiahui Guan, Kyung Sang Kim, Xuezhu Zhang, Georges El Fakhri, Jinyi Qi, Quanzheng Li

CoRR, 2017

A Cascaded Convolutional Nerual Network for X-ray Low-dose CT Image Denoising.

Dufan Wu, Kyung Sang Kim, Georges El Fakhri, Quanzheng Li

CoRR, 2017

2016

Sparse-view X-ray spectral CT reconstruction using annihilating filter-based low rank hankel matrix approach.

Yoseob Han, Kyong Hwan Jin, Kyung Sang Kim, Jong Chul Ye

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015

Sparse-View Spectral CT Reconstruction Using Spectral Patch-Based Low-Rank Penalty.

Kyung Sang Kim, Jong Chul Ye, William Worstell, Jinsong Ouyang, Yothin Rakvongthai, Georges El Fakhri, Quanzheng Li

IEEE Trans. Medical Imaging, 2015

2014

Motion Adaptive Patch-Based Low-Rank Approach for Compressed Sensing Cardiac Cine MRI.

Huisu Yoon, Kyung Sang Kim, Daniel Kim, Yoram Bresler, Jong Chul Ye

IEEE Trans. Medical Imaging, 2014

Ultra-Fast Hybrid CPU-GPU Multiple Scatter Simulation for 3-D PET.

Kyung Sang Kim, Young-Don Son, Zang-Hee Cho, Jong Beom Ra, Jong Chul Ye

IEEE J. Biomed. Health Informatics, 2014

TOF-PET ordered subset reconstruction using non-uniform separable quadratic surrogates algorithm.

Kyung Sang Kim, Jong Chul Ye, Li Cheng, Kui Ying, Georges El Fakhri, Quanzheng Li

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

ECG-gated cardiac CT reconstruction using patch based low rank regularization.

Kyung Sang Kim, Jong Chul Ye

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013

Motion compensated compressed sensing dynamic MRI with low-rank patch-based residual reconstruction.

Huisu Yoon, Kyung Sang Kim, Jong Chul Ye

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Globally convergent 3D dynamic PET reconstruction with patch-based non-convex low rank regularization.

Kyung Sang Kim, Young-Don Son, Zang-Hee Cho, Jong Beom Ra, Jong Chul Ye

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012

Iterative scatter correction for digital tomosynthesis using composition ratio update and GPU based Monte Carlo simulation.

Kyung Sang Kim, Young Hoon Seong, Jongha Lee, Kwang Eun Jang, Jong Chul Ye

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012