PUBLICATIONS
CONFERENCE
[C9] Sanghyun Jo, Fei Pan, In-Jae Yu, Kyungsu Kim† , "DHR: Enhancing Weakly Supervised Semantic Segmentation with Hierarchical Spatial-Class Rebalancing", ECCV 2024.
[C8] Sanghyun Jo∗ , Soohyun Ryu∗ , Sungyub Kim, Eunho Yang, Kyungsu Kim† , "TTD: TextTag Distillation For Open-Vocabulary Classification and Segmentation", ECCV 2024.
[C7] Jungeun Kim∗ , Hangyeol Yoon∗ , Geondo Park, Kyungsu Kim† , Eunho Yang. "DataEfficient Unsupervised Interpolation Without Any Intermediate Frame for 4D Medical Images.", CVPR 2024.
[C6] Seong Yup Kim, Kyungsu Kim† , Eunho Yang† . "GEX: A flexible method for approximating influence via Geometric Ensemble." NeurIPS 2023.
[C5] Sang Hyun Cho∗ , In Jae Yoo, Kyungsu Kim† . "MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation." ICCV 2023.
[C4] Seong Yup Kim, Si Hwan Kim, Kyungsu Kim† , Eunho Yang†. "Scale-invariant Bayesian Linearized Neural Networks with Connectivity Tangent Kernel." ICLR 2023.
[C3] Kyungsu Kim∗ , Junhyun Park∗ , Saul Langarica, Adham Mahmoud Alkhadrawi, Synho Do, "Integrating ChatGPT into Secure Hospital Networks: A Case Study on Improving Radiology Report Analysis", Conference on Health, Inference, and Learning (CHIL) 2024.
[C2] Kyungsu Kim∗,† , Chae Yeon Lim∗ , Myung Jin Chung† . "Low-dose computed tomography reconstruction without learning data: Performance improvement by exploiting joint correlation between adjacent slices." 2022 IEEE International Symposium on Biomedical Imaging (ISBI), IEEE, 2022.
[C1] Kyungsu Kim∗ , Sae-Young Chung† . "Two-stage orthogonal subspace matching pursuit for joint sparse recovery." 2016 IEEE International Symposium on Information Theory (ISIT), IEEE, 2016.
JOURNAL
[J19] Leslie Lamb, Constance Lehman, Synho Do, Kyungsu Kim, Saul Langarica, and Manisha Bahl† . "Artificial Intelligence (AI)-Based Computer-Assisted Detection and Diagnosis for Mammography: An Evidence-Based Review of Food and Drug Administration (FDA)-Cleared Tools for Screening Digital Breast Tomosynthesis (DBT)." AI in Precision Oncology. 2024.
[J18] Adham M. Alkhadrawi, Lisa Y. Lin, Saul Langarica, Kyungsu Kim, Sierra K. Ha, Nahyoung Grace Lee† , and Synho Do† . "Deep-Learning Based Automated Segmentation and Quantitative Volumetric Analysis of Orbital Muscle and Fat for Diagnosis of Thyroid Eye Disease." Investigative Ophthalmology and Visual Science. 2024.
[J17] Harim Kim∗ , Kyungsu Kim∗ , Seong Je Oh, Sungjoo Lee, Jung Han Woo, Jong Hee Kim, Yoon Ki Cha, Kyunga Kim, Myung Jin Chung† . "AI-assisted analysis to facilitate effective detection of humeral lesions in the simple chest radiograph." Radiology AI, RSNA. 2024.
[J16] Je Moon Yoon∗ , Chae Yeon Lim∗ , Hoon Noh, Seung Wan Nam, Sung Yeon Jun, Min Ji Kim, Mi Yeon Song, Hyemin Jang, Hee Jin Kim, Sang Won Seo, Duk L. Na, Myung Jin Chung, Don-Il Ham† , and Kyungsu Kim† . "Enhancing foveal avascular zone analysis for Alzheimer’s diagnosis with AI segmentation and machine learning using multiple radiomic features." Nature Scientific Reports. 2024.
[J15] Subin Park∗ , Yoon Ki Cha∗ , Soyoung Park, Myung Jin Chung† , Kyungsu Kim† , "Automated precision localization of peripherally inserted central catheter tip through modelagnostic multi-stage networks." Artificial Intelligence In Medicine.
[J14] Kyungsu Kim∗,† , Seong Je Oh∗ , Ju Hwan Lee, Myung Jin Chung† . "3D unsupervised anomaly detection and localization through virtual multi-view projection and reconstruction: Clinical validation on low-dose chest computed tomography." Expert Systems with Applications. 2023.
[J13] Kyungsu Kim∗ , Chae Yeon Lim∗ , Joong Bo Shin, Myung Jin Chung, Yong Gi Jung† . "Enhanced artificial intelligence-based diagnosis using CBCT with internal denoising: Clinical validation for discrimination of fungal ball, sinusitis, and normal cases in the maxillary sinus." Computer Methods and Programs in Biomedicine, 240 (2023): 107708.
[J12] Jonghyun Ahn∗ , Ju Whan Lee∗ , Myung Jin Chung, Jinyoung Youn, Jin Whan Cho† , Kyungsu Kim† . "Automatic stridor detection using small training set via patch-wise few-shot learning for of multiple system atrophy." Nature Scientific Reports, 10899 (2023).
[J11] Kyungsu Kim∗,† , Ju Hwan Lee∗ , Seong Je Oh∗ , Myung Jin Chung† . "AI-based computeraided diagnostic system of chest digital tomography synthesis: Demonstrating comparative advantage with X-ray-based AI systems." Computer Methods and Programs in Biomedicine, 240 (2023): 107643.
[J10] Joomee Song∗ , Juyoung Hahm∗ , Jisoo Lee, Chae Yeon Lim, Myung Jin Chung, Jinyoung Youn, Jin Whan Cho, Jong Hyeon Ahn† , Kyungsu Kim† . "Comparative Validation of AI against non-AI in MRI Volumetry to Diagnose Parkinsonian Syndromes." Nature Scientific Reports 13.1 (2023): 3439.
[J9] Joomee Song∗ , Ju Hwan Lee∗ , Jungeun Choi, Mee Kyung Suh, Myung Jin Chung, Young Hun Kim, Jeongho Park, Seung Ho Choo, Ji Hyun Son, Dong Yeong Lee, Jong Hyeon Ahn, Jinyoung Youn, Kyungsu Kim† , Jin Whan Cho† . "Detection and differentiation of ataxic and hypokinetic dysarthria in cerebellar ataxia and parkinsonian disorders via wave splitting and integrating neural networks." PloS One, 17.6 (2022): e0268337.
[J8] Chan-Woo Park∗ , Seong-Je Oh∗ , Kyungsu Kim, Min-Chang Jang, Il Su Kim, YoungKeun Lee, Myung Jin Chung, Baek Hwan Cho† , Sung-Wook Seo† . "Artificial intelligencebased classification of bone tumors in the proximal femur on plain radiographs: System development and validation." PloS One, 17.2 (2022): e0264140.
[J7] Kyungsu Kim∗ , Byung Kil Kim∗ , Myung Jin Chung, Hyun Bin Cho, Beak Hwan Cho† , Yong Gi Jung† . "Detection of maxillary sinus fungal ball via 3-D CNN-based artificial intelligence: Fully automated system and clinical validation." PloS One, 17.2 (2022): e0263125.
[J6] Kyungsu Kim∗,† , Seong Je Oh∗ , Hyun Bin Cho∗ , Myung Jin Chung† . "One-class classifier for chest X-ray anomaly detection via contrastive patch-based percentile." IEEE Access, 9 (2021): 168496-168510.
[J5] Kyungsu Kim∗ , Jung Hyun Lee∗ , Eunho Yang† . "Compressed sensing via measurementconditional generative models." IEEE Access, 9 (2021): 155335-155352.
[J4] Kyungsu Kim∗,† , Sae-Young Chung. "Tree search network for sparse estimation." Digital Signal Processing, 100 (2020): 102680.
[J3] Kyungsu Kim∗,† , Sae-Young Chung. "Fourier phase retrieval with extended support estimation via deep neural network." IEEE Signal Processing Letters, 26.10 (2019): 1506- 1510.
[J2] Kyungsu Kim∗,† , Sae-Young Chung. "Greedy subspace pursuit for joint sparse recovery." Journal of Computational and Applied Mathematics, 352 (2019): 308-327.
[J1] Kyungsu Kim∗,† , Sae-Young Chung. "Bayesian approach with extended support estimation for sparse linear regression." Results in Applied Mathematics(2019): 100012.
WORKSHOP
[E4] Kyungsu Kim∗ , Manisha Bahl, Synho Do† , "Refining Microcalcification Detection in Full-Field Digital Mammography Using Generative AI: Enhanced Accuracy and Reduced False Positives", RSNA Annual Meeting 2024.
[E3] Kyungsu Kim∗ , Adham Alkhadrawi, Manisha Bahl† , Synho Do† , "Preoperative Prediction of Ductal Carcinoma In Situ Upgrade Risk Using Mammographic Imaging, Deep Learning, and Radiomics", RSNA Annual Meeting 2024.
[E2] Kyungsu Kim* , Adham Alkhadrawi, Synho Do† , Manisha Bahl† . "An Innovative AI Approach for Identifying and Alleviating Diagnostic Error Sources in Predicting Ductal Carcinoma In Situ (DCIS) Upgrade Risk." Massachusetts General Hospital Clinical Research Conference, Mass General Research Institute, 2023.
[E1] Harim Kim* , Kyungsu Kim* , Sungjoo Lee, Seong Je Oh, Myung Jin Chung† . "Artificial intelligence-assisted analysis to facilitate effective detection of humeral lesions in the simple chest radiograph." RSNA 2022 Annual Meeting, 2022.