Embedded Files
2024 (updated Mar. 25, 2024)
Abstract) Vessel-inpainted Retinal Nerve Fiber Layer Photography for Diagnosis of Glaucoma
Y. J. Lee., B. Jang, ..., Y.-G. Kim, 2024 Association for Research in Vision and Opthalmology (ARVO) Annual Meeting, Seattle, WA, USA
May. 2024
2023
Abstract) A Deep Learning-based Quantitative Analysis of Morphological Features of Glomeruli in Whole Slide Images of IgA Nephropathy
S. Y. Cho, ..., Y.-G. Kim, 2023 Fall Confernce of The Korean Society of Medical Informatics (KOSMI), Bundang, Korea
Nov. 2023
Abstract) Challenges and Prospects of 6DoF Pose Estimation for Surgical Instrumentation in Robot-assisted Minimally Invasive Surgery
G. Lee, ..., Y.-G. Kim, 2023 Fall Confernce of The Korean Society of Medical Informatics (KOSMI), Bundang, Korea
Nov. 2023
우수 구연상
Abstract) Deep Learning Models and Index Predicting Postoperative Desaturation using Spirometry Signal
J. Jin, ..., Y.-G. Kim, 2023 Fall Confernce of The Korean Society of Medical Informatics (KOSMI), Bundang, Korea
Nov. 2023
우수 포스터상
Abstract) Development of a Foundation Model for Digital Pathology Image Analysis using Multiple Instance Learning and Verification of Its Applicability
C. Lee, ..., Y.-G. Kim, 2023 Fall Confernce of The Korean Society of Medical Informatics (KOSMI), Bundang, Korea
Nov. 2023
Abstract) Automated Ganglion Cell Prediction in Myenteric PlexusBased on Deep Learning Using Digital Pathology Slide Image
C. Kim, ..., Y.-G. Kim, 2023 Fall Confernce of The Korean Society of Medical Informatics (KOSMI), Bundang, Korea
Nov. 2023
Abstract) Prediction of preeclampsia in whole slide images using deep learning placenta analysis
S. Park, ..., Y.-G. Kim, 2023 Fall Confernce of The Korean Society of Medical Informatics (KOSMI), Bundang, Korea
Nov. 2023
우수 구연상
Abstract) The Impact of AI-Assistance on Ophthalmologists’ Prediction of Recurrence in Neovascular AMD
B. Jang, ..., Y.-G. Kim, 2023 Fall Confernce of The Korean Society of Medical Informatics (KOSMI), Bundang, Korea
Nov. 2023
Abstract) Validation of prognosis prediction of prostate cancer patients with bone metastasis using the morphological and intensity characteristics of the lesions based on deep learning systems
B. W. Kim, ..., Y.-G. Kim, 2023 Fall Confernce of The Korean Society of Medical Informatics (KOSMI), Bundang, Korea
Nov. 2023
최우수 구연상
Abstract) A Study on a Deep Learning-Based Model for the Diagnosis of Sjögren's Syndrome Using Anterior Segment Photograph Images
D. Park, ..., Y.-G. Kim, 2023 Fall Confernce of The Korean Society of Medical Informatics (KOSMI), Bundang, Korea
Nov. 2023
Poster Award Winner
Abstract) Automated Quantification of Fat in Liver Donors Using a Cascade-based Convolutional Neural Network
Y. Ahn, .., Y.-G. Kim, Workshop on Applications of Medical Artificial Intelligence (AMAI) 2023 in Medical Image Computing and Computer Assisted Intervention (MICCAI), Vancouver, Canada
Oct. 2023
Abstract) Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer with DCE-MRI Images using 3D CNN Model
J. Lee, .., Y.-G. Kim, Workshop on Applications of Medical Artificial Intelligence (AMAI) 2023 in Medical Image Computing and Computer Assisted Intervention (MICCAI), Vancouver, Canada
Oct. 2023
Abstract) Development and Validation of a Publicly Available Fundus-Specific Pretrained Model Using a Large-Scale Fundus Images Dataset
B. Jang, .., Y.-G. Kim, Workshop on Opthalmic Medical Image Anlysis (OMIA-X) 2023 in Medical Image Computing and Computer Assisted Intervention (MICCAI), Vancouver, Canada
Oct. 2023
Abstract) Multi Pose-based Convolutional Neural Network Model for Diagnosis of Patient with Central Lumbar Spinal Stenosis
S. Park, .., Y.-G. Kim, Workshop on Foundation Models for General Medical AI (MedAGI) 2023 in Medical Image Computing and Computer Assisted Intervention (MICCAI), Vancouver, Canada
Oct. 2023
Poster Award Winner
Abstract) Predicting the First Recurrence in Patients with Neovascular AMD Using Deep Learning
B. Jang, C. Kim, ..., Y.-G. Kim, The 2023 Annual Meeting of the American Society of Retina Specialists (ASRS), Seattle, WA, USA
July 2023
Abstract) Establishment of Skin Pathology Dataset and Data Quality Assessment
D. Park, C. Lee, ..., Y.-G. Kim, 2023 Spring Confernce of The Korean Society of Medical Informatics (KOSMI), Daegu, Korea
June 2023
Abstract) Development of Deep Learning model for Fuhrman Nuclear Grading in Renal Cell Carcinoma Cohort
J. Jin, C. W. Jeong, ..., Y.-G. Kim, 2023 Spring Confernce of The Korean Society of Medical Informatics (KOSMI), Daegu, Korea
June 2023
우수 연제상
Abstract) A Study on the Development of Machine Learning Model for Predicticting Immediate Postoperative Desaturation Using Spirometry Signal Analysis
Y. Shin, Y. J. Kim, ..., Y.-G. Kim, 2023 Spring Confernce of The Korean Society of Medical Informatics (KOSMI), Daegu, Korea
June 2023
우수 연제상
Abstract) Development and Validation of Pretrained Model for Fundoscopy-Specific using Large-Scale Images
B. Jang, Y. Ahn, ..., Y.-G. Kim, 2023 Spring Confernce of The Korean Society of Medical Informatics (KOSMI), Daegu, Korea
June 2023
Abstract) The Data Augmentation Method for Colonoscopy Images Using Specular Reflection
C. Lee, Y. Shin, ..., Y.-G. Kim, 2023 Spring Confernce of The Korean Society of Medical Informatics (KOSMI), Daegu, Korea
June 2023
Abstract) Multi pose-based Convolutional Neural Network Model for Diagnosis of Patient with Central Lumbar Spinal Stenosis
S. Park, J.-H. Kim, ..., Y.-G. Kim, 2023 Spring Confernce of The Korean Society of Medical Informatics (KOSMI), Daegu, Korea
June 2023
Abstract) Deep-Learning-Based CAD May Be Helpful for Improvement of the Consensus and Accuracy of the Diagnosis in Well-differentiated Hepatic Nodule
B. Yu, C. Hong, Y.-G. Kim, and K. B. Lee, Association for Pathology Informatics (API) Summit, Pittsburgh, PA, USA
May 2023
Education) Intensive Care Network With Million Patients Information for AI-CDSS Technology
E. K. Chie, H. C. Lee, and Y.-G. Kim, Healthcare Information and Management Systems Society (HIMSS), Chicago, IL, USA
Apr. 2023
Abstract) Deep learning-based fully automated dry eye disease severity grading system
C. H. Yoon, D. Park, ... , Y.-G. Kim, 2023 Association for Research in Vision and Opthalmology (ARVO) Annual Meeting, New Orleans, LA, USA
Apr. 2023
Abstract) Fully Automatic Volume Measurement of the Adrenal Gland on CT Using Deep Learning to Classify Adrenal Hyperplasia
T. M. Kim, S. J. Choi, .., Y.-G. Kim, 2023 ARRS Annual Meeting, Honolulu, Hawaii, USA
Apr. 2023
2022 (updated Dec. 5, 2022)
Best Abstraction Award
Abstract) Prediction of Subsequent Fracture in Patients with Hip Fracture Using 2.5D Deep-Learning with Digitally Reconstructed Radiography from Computational Tomography; Comparision with Machine Learning and Extra Validation with External Dataset
Y. Kim, .., Y.-G. Kim, Radiological Society of North America (RSNA), Chicago, IL, USA
Nov. 2022
Abstract) Automated Grading System for Evaluation of Dry Eye Disease Using Deep Learming
D. Park, .., Y.-G. Kim, C. H. Yoon, The 128th Annual Meeting of the Korean Ophthalmological Society (2022), Seoul, Korea,
Nov. 2022
Abstract) Utility of bone scan in metatatic prostate cancer; novel prognostic features discovered using deep learning system
B. W. Kim, .., Y.-G. Kim, C. W. Jeong, 2022 Annual Meeting of Korean Urological Association (KUA 2022), Seoul, Korea
Oct. 2022
Abstract) Combination of conventional radiology feature and radiomics feature increases diagnostic accuracy in distinguishing renal tumor
J. H. Jan, .., Y.-G. Kim, C. W. Jeong, 2022 Annual Meeting of Korean Urological Association (KUA 2022), Seoul, Korea
Oct. 2022
Abstract) Fully Automated Estimation System of Punctate Epithelial Erosions for the Dry-eye Severity Using Deep-Learning
D. Park, .., Y.-G. Kim, The First Workshop on Applications of Medical Artificial Intelligence (AMAI) 2022 in Medical Image Computing and Computer Assisted Intervention (MICCAI), Singapore, Singapore
Sep. 2022
Best Abstraction Award
Abstract) Prediction of Subsequent Fracture in Patients with Hip Fracture Using 2.5D Deep-Learning with Digitally Reconstructed Radiography from Computational Tomography
Y. Kim, .., Y.-G. Kim, The First Workshop on Applications of Medical Artificial Intelligence (AMAI) 2022 in Medical Image Computing and Computer Assisted Intervention (MICCAI), Singapore, Singapore
Sep. 2022
Abstract) Fully automated morphometric assessment of Hirschsprung's disease with whole-slide image using deep learning
C. Ki., ..., Y.-G. Kim, The First Workshop on Applications of Medical Artificial Intelligence (AMAI) 2022 in Medical Image Computing and Computer Assisted Intervention (MICCAI), Singapore, Singapore
Sep. 2022
Abstract) Deep learning‐based prediction model for prognosis of IgA nephropathy
S. Park, .., Y.-G. Kim, H. Lee, The 42nd Annual Meeting of the Korean Society of Nephology (KSN), Seoul, Korea,
May 2022
~2021
Abstract) Decompose And Blend: Collaborative Utilization Of Gan‐based Anomaly Detection And Supervised learning iIn Chest Radiograph
Y. Kim, .., Y.-G. Kim, Radiological Society of North America (RSNA), Chicago, IL, USA
Nov. 2021
Abstract) A Fully Automated System Using A Convolutional Neural Network to Predict Renal Allograft Rejection: Extra-validation with Giga-pixel Immunostained Slides
Y.-G. Kim, et al., Medical Image Computing and Computer Assisted Intervention (MICCAI) workshop, Granada, Spain
Sep. 2018
Abstract) Reproducibility Analysis on Computer Aided Detection on Disease in Chest PA X-ray Images within Short-term Period with Convolutional Neural Net; Comparison among Four Different Methods
Y.-G. Kim, Y. Cho, et al, Korean Congress of Radiology (KCR), Seoul, Korea
Sep. 2018
Abstract) Automatic Classification of Acute Ischemic Stroke Patient within 4.5 Hours Symptom Onset: Comparison between Deep and Shallow Learning Approaches
Y.-G. Kim, H. Lee, et al., Radiological Society of North America (RSNA), Chicago, IL, USA
Nov.2017
Abstract) Predicting drug-resistance in temporal lobe epilepsy patients under monotherapy: network analysis using optimal parameters of electroencephalography signals
S. Hwang, Y. Shin, ..., Y.-G. Kim, K.-I. Park, AED (American Epilepsy Society) 2023 annual meeting , Orlando, FL, USA
Dec. 2023
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