Kyungsu Kim
Kyungsu Kim
Harvard Medical School and Massachusetts General Hospital
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Cited by
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Artificial intelligence-based classification of bone tumors in the proximal femur on plain radiographs: System development and validation
CW Park, SJ Oh, KS Kim, MC Jang, IS Kim, YK Lee, MJ Chung, BH Cho, ...
PLoS One 17 (2), e0264140, 2022
Greedy subspace pursuit for joint sparse recovery
KS Kim, SY Chung
Journal of Computational and Applied Mathematics 352, 308-327, 2019
RecurSeed and EdgePredictMix: Pseudo-Label Refinement Learning for Weakly Supervised Semantic Segmentation across Single- and Multi-Stage Frameworks
S Jo, IJ Yu, K Kim
arXiv preprint arXiv:2204.06754, 2022
Detection of maxillary sinus fungal ball via 3-D CNN-based artificial intelligence: Fully automated system and clinical validation
KS Kim, BK Kim, MJ Chung, HB Cho, BH Cho, YG Jung
Plos one 17 (2), e0263125, 2022
MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation
S Jo, IJ Yu, K Kim
ICCV (arXiv preprint arXiv:2304.09913), 2023
Detection and differentiation of ataxic and hypokinetic dysarthria in cerebellar ataxia and parkinsonian disorders via wave splitting and integrating neural networks
J Song, JH Lee, J Choi, MK Suh, MJ Chung, YH Kim, J Park, SH Choo, ...
PloS one 17 (6), e0268337, 2022
Fourier phase retrieval with extended support estimation via deep neural network
KS Kim, SY Chung
IEEE Signal Processing Letters 26 (10), 1506-1510, 2019
Enhanced artificial intelligence-based diagnosis using CBCT with internal denoising: Clinical validation for discrimination of fungal ball, sinusitis, and normal cases in the …
K Kim, CY Lim, J Shin, MJ Chung, YG Jung
Computer Methods and Programs in Biomedicine 240, 107708, 2023
Compressed sensing via measurement-conditional generative models
KS Kim, JH Lee, E Yang
IEEE Access 9, 155335-155352, 2021
AI-based computer-aided diagnostic system of chest digital tomography synthesis: Demonstrating comparative advantage with X-ray-based AI systems
K Kim, JH Lee, SJ Oh, MJ Chung
Computer Methods and Programs in Biomedicine 240, 107643, 2023
One-class classifier for chest X-ray anomaly detection via contrastive patch-based percentile
KS Kim, SJ Oh, HB Cho, MJ Chung
IEEE Access 9, 168496-168510, 2021
GEX: A flexible method for approximating influence via Geometric Ensemble
SY Kim, K Kim, E Yang
Advances in Neural Information Processing Systems 36, 2024
Enhancing foveal avascular zone analysis for Alzheimer’s diagnosis with AI segmentation and machine learning using multiple radiomic features
JM Yoon, CY Lim, H Noh, SW Nam, SY Jun, MJ Kim, MY Song, H Jang, ...
Scientific Reports 14 (1), 1841, 2024
Comparative validation of AI and non-AI methods in MRI volumetry to diagnose parkinsonian syndromes
J Song, J Hahm, J Lee, CY Lim, MJ Chung, J Youn, JW Cho, JH Ahn, ...
Scientific Reports 13 (1), 3439, 2023
Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel
SY Kim, S Park, K Kim, E Yang
ICLR 2023 SPOTLIGHT (notable-top publication within 25%) (https://openreview …, 2022
Tree search network for sparse estimation
KS Kim, SY Chung
Digital Signal Processing 100, 102680, 2020
Data-Efficient Unsupervised Interpolation Without Any Intermediate Frame for 4D Medical Images
JE Kim, H Yoon, G Park, K Kim, E Yang
CVPR 2024, 2024
Automatic stridor detection using small training set via patch-wise few-shot learning for diagnosis of multiple system atrophy
JH Ahn, JH Lee, CY Lim, EY Joo, J Youn, MJ Chung, JW Cho, K Kim
Scientific Reports, 2023
3D unsupervised anomaly detection and localization through virtual multi-view projection and reconstruction: Clinical validation on low-dose chest computed tomography
K Kim, SJ Oh, JH Lee, MJ Chung
Expert Systems with Applications (arXiv preprint arXiv:2206.13385), 2022
DHR: Dual Features-Driven Hierarchical Rebalancing in Inter-and Intra-Class Regions for Weakly-Supervised Semantic Segmentation
S Jo, F Pan, IJ Yu, K Kim
ECCV 2024, 2024
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