Journals (SCI, SCIE)

Clinically Grounded Retinal Representation Learning from Minimal Supervision

Deep learning-based arterial waveform analysis for predicting postoperative neurologic complications in pediatric patients with moyamoya disease

From Static Diagnosis to Dynamic Guidance: Evolution of Artificial Intelligence in Pediatric Neuroimaging (Review Article)

OCT Biomarkers as Predictors of Treatment Interval in Neovascular Age-Related Macular Degeneration Treated with Intravitreal Aflibercept Using a Treat-and-extend Regimen

Genetics and Clinical Characteristics of Korean Patients with Bilateral Macronodular Adrenocortical Disease

Automated Deep Learning for Detection and Measurement of Adrenal Masses in Contrast-Enhanced Abdominal CT

K-MIMIC:  a nationwide Korean multi-institutional multi-modal intensive care dataset

AI-Driven First Recurrence Prediction in Neovascular Age-Related Macular Degeneration: A 20-Expert Validation Study

Prediction of longitudinal outcomes and novel cluster identification in epilepsy

Data Augmentation Method for Computer-aided Diagnosis Using Specular Reflection

Automated AI based Identification of Autism Spectrum Disorder from Home Videos

Prediction of Personalized Antiseizure Medications Response based on Clinical Signatures in Epilepsy

Deep Learning-based Quantitative Analysis of Glomerular Morphology in IgA Nephropathy Whole Slide Images and Its Prognostic Implications

A Novel Approach to Overcome Black Box of AI for Optical Diagnosis in Colonoscopy

Large-scale Dermatopathology Dataset for Lesion Segmentation: Model Development and Analysis

Novel Bone Scan Features for Predicting Prognosis in Men with Bone Metastatic Prostate Cancer: A Retrospective Study

Fully Automated Segmentation and Classification of Renal Tumors on CT Scans via Machine Learning

Deep-learning Based Discrimination of Pathologic Complete Response Using MRI in HER2-positive and Triple-negative Breast Cancer

Increased Coherence Predicts Medical Refractoriness in Patients with Temporal Lobe Epilepsy on Monotherapy

Conventional Machine-learning based prediction models did not outperform the International IgA nephropathy Prediction Tool

Identification of Preeclamptic Placenta in Whole Slide Images using Artificial Intelligence Placenta Analysis

Self-Supervised Domain Adaptation for 6DoF Pose Estimation

Deep Learning-based Fully Automated Grading System for Dry Eye Disease Severity

Differential Diagnosis of Pleural Effusion using Machine Learning

A CT-based Deep Learning Model for Predicting Subsequent Fracture Risk in Patients with Hip Fracture

Multi-pose-based Convolutional Neural Network Model for Diagnosis of Patients with Central Lumbar Spinal Stenosis

Using Spectral and Temporal Filters with EEG Signal to Predict the Temporal Lobe Epilepsy Outcome after Antiseizure Medication via Machine Learning

Machine Learning Model for Predicting Immediate Postoperative Desaturation using Spirometry Signal Data

Preliminary Analysis of Predicting the First Recurrence in Patients with Neovascular Age-related Macular Degeneration using Deep Learning

Trainable Weights for Multitask Learning

Investigation of Optimal Convolutional Neural Network Conditions for Thyroid Ultrasound Image Analysis

Fully Automatic Volume Measurement of the Adrenal Gland on CT Using Deep Learning to Classify Adrenal Hyperplasia

Diagnostic Assessment of Deep Learning Algorithms for Frozen Tissue Section Analysis in Women with Breast Cancer

Predicting Parkinson’s Disease using Gradient Boosting Decision Tree Models with Electroencephalography Signals

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

Diagnostic Triage in Patients with Central Lumbar Spinal Stenosis Using a Deep Learning System of Plain Radiographs

Automatic Tip Detection of Surgical Instruments in Biportal Endoscopic Spine Surgery

Comparing Intra-Observer Variation and External Variations of a Fully Automated Cephalometric Analysis with a Cascade Convolutional Neural Net

Codeless Deep Learning of COVID-19 Chest X-Ray Image Dataset with KNIME Analytics Platform

Deep Metric Learning-based Image Retrieval System for Chest Radiograph and its Clinical Applications in COVID-19

Effectiveness of Transfer Learning for Enhancing Tumor Classification with a Convolutional Neural Network on Frozen Sections

Reproducibility of Abnormality Detection on Chest Radiographs Using Convolutional Neural Network in Paired Radiographs Obtained within a Short-term Interval

Challenge for Diagnostic Assessment of Deep Learning Algorithm for Metastases Classification in Sentinel Lymph Nodes on Frozen Tissue Section Digital Slides in Women with Breast Cancer

Optimal Matrix Size of Chest Radiographs for Computer-aided Detection on Lung Nodule or Mass with Deep Learning

Automated Detection Algorithm for C4d Immunostaining Showed Comparable Diagnostic Performance to Pathologists in Renal Allograft Biopsy

Short-term Reproducibility of Pulmonary Nodule and Mass Detection in Chest Radiographs: Comparison among Radiologists and Four Different Computer-Aided Detections with Convolutional Neural Net

A Fully Automated System Using A Convolutional Neural Network to Predict Renal Allograft Rejection: Extra-validation with Giga-pixel Immunostained Slides

Adaptive Disparity Estimation for Auto Convergence of Region of Interest in a Video

Face Detection using the 3x3 Block Rank Patterns of Gradient Magnitude Images