KoSAIM 2023

Automated, Standardized, Quantitative Analysis of Cardiovascular Borders on Chest X-Rays Using Deep Learning

Long-Term Follow-Up of Interstitial Lung Abnormalities in Low-Dose Chest CT in Health Screening: Exploring the Predictors of Clinically Significant Interstitial Lung Diseases Using Artificial Intelligence-Based Quantitative CT Analysis

Significant Influence of Cardiac Radiation Dose on the Risk of Cardiotoxicity in Patients Receiving Adjuvant Trastuzumab and Radiation Therapy for Breast Cancer

Automated Measurement of Coronary Artery Calcifications and Routine Perioperative Blood Tests Predict Survival in Resected Stage I Lung Cancer

Proactive Surgical Management and Outcomes of Unilateral Zygomaticomaxillary Complex Fractures in Major Trauma Patients: A National Level I Center Experience

Histological proven AI performance in the UKLS CT lung cancer screening study: Potential for workload reduction

Deciphering the intratumoral histologic heterogeneity of lung adenocarcinoma using radiomics

Diagnosis and evaluation of small airway disease and COPD using impulse oscillometry

Histological proven AI performance in the UKLS CT lung cancer screening study: Potential for workload reduction

Deciphering the intratumoral histologic heterogeneity of lung adenocarcinoma using radiomics

Clinical Utility of Tumor-Naïve Presurgical Circulating Tumor DNA Detection in Early-Stage NSCLC

Prognostic Implications of the Volume Doubling Time of the Solid Component in Lung Adenocarcinomas Manifesting as Part-Solid Lesions on Chest CT

Feasibility of AI as First Reader in the 4-IN-THE-LUNG-RUN Lung Cancer Screening Trial: Impact on Negative-Misclassifications and Clinical Referral Rate

Comparative Outcomes of Surgery and SBRT for Stage I Lung Cancer in Koreans: A Propensity Matched Multidisciplinary Cohort Study

Lung Nodule Management in Low-Dose CT Screening for Lung Cancer: Lessons from the NELSON Trial

High Recruitment Rate and Performance of a National Lung Cancer Screening Network Implementing Web-Based Instruments

Diagnosis and evaluation of small airway disease and COPD using impulse oscillometry

Advanced emphysema leads to high false positivity rate for pneumothorax in point of care ultrasound

Computed tomography-based pulmonary vasculature analysis of decreased lung perfusion after thoracic radiotherapy in patients with lung cancer

Loss of pulmonary capillaries in idiopathic pulmonary arterial hypertension with low diffusion capacity is accompanied by early diffuse emphysema detected by 129Xe MRI

Discordant definitions of small airway dysfunction between spirometry and parametric response mapping: the HRCT-based study

Computed tomography-based measurements associated with rapid lung function decline in severe asthma

Machine learning model for circulating tumor DNA detection in chronic obstructive pulmonary disease patients with lung cancer

Hemorrhage risk prediction after computed tomography-guided lung biopsy: Clinical parameters and quantitative pulmonary vascular analysis

Automated, Standardized, Quantitative Analysis of Cardiovascular Borders on Chest X-Rays Using Deep Learning

Automated Measurement of Coronary Artery Calcifications and Routine Perioperative Blood Tests Predict Survival in Resected Stage I Lung Cancer

Coronary calcium score and emphysema extent on different CT radiation dose protocols in lung cancer screening

Meta-analysis of deep learning approaches for automated coronary artery calcium scoring: Performance and clinical utility AI in CAC scoring: A meta-analysis: AI in CAC scoring: A meta-analysis

Coronary artery calcium measurement on attenuation correction computed tomography using artificial intelligence: correlation with coronary flow capacity and prognosis

Novel risk score for predicting acute cardiovascular and cerebrovascular events after chest radiotherapy in patients with breast or lung cancer

Feasibility and limitations of deep learning–based coronary calcium scoring in PET-CT: a comparison with coronary calcium score CT

Effect of Evogliptin on the Progression of Aortic Valvular Calcification

Long-Term Follow-Up of Interstitial Lung Abnormalities in Low-Dose Chest CT in Health Screening: Exploring the Predictors of Clinically Significant Interstitial Lung Diseases Using Artificial Intelligence-Based Quantitative CT Analysis

Improving functional correlation of quantification of interstitial lung disease by reducing the vendor difference of CT using generative adversarial network (GAN) style conversion

Corticosteroid therapy for treating acute exacerbation of interstitial lung diseases: a systematic review

Content-based Image Retrieval by Using Deep Learning for Interstitial Lung Disease Diagnosis with Chest CT

Usefulness of CT Quantification-Based Assessment in Defining Progressive Pulmonary Fibrosis

Deep Learning-Based CT Reconstruction Kernel Conversion in the Quantification of Interstitial Lung Disease: Effect on Reproducibility

Identification of risk factors for acute exacerbation of idiopathic pulmonary fibrosis based on baseline high-resolution computed tomography: a prospective observational study

Correlation between CT-based phenotypes and serum biomarker in interstitial lung diseases

Improved performance and robustness of multi-task representation learning with consistency loss between pretexts for intracranial hemorrhage identification in head CT

Significant Influence of Cardiac Radiation Dose on the Risk of Cardiotoxicity in Patients Receiving Adjuvant Trastuzumab and Radiation Therapy for Breast Cancer

Performance Evaluation of Automatic Segmentation based on Deep Learning and Atlas according to CT Image Acquisition Conditions (CT 영상획득 조건에 따른 딥 러닝과 아틀라스 기반의 자동분할 성능 평가)

Heart-Sparing Capability and Positional Reproducibility of Continuous Positive Airway Pressure in Left-Sided Breast Radiation Therapy

Experience of Implementing Deep Learning-Based Automatic Contouring in Breast Radiation Therapy Planning: Insights from Over 2,000 Cases

Evaluation of Deep Learning-based Auto-segmentation in Breast Cancer Radiotherapy

Clinical feasibility of deep learning-based auto-segmentation of target volumes and organs-at-risk in breast cancer patients after breast-conserving surgery

Evaluation of Deep Learning-Based Auto-Segmentation of Target Volume and Organs-at-Risk in Breast Cancer Patients

Abdominal multi-organ auto-segmentation using 3D-patch-based deep convolutional neural network

Evaluation of the clinical utility of lateral cephalometry reconstructed from computed tomography extracted by artificial intelligence

The Effect of Scanning Order of Axial T2-Weighted Images on Spinal Stenosis: A Preliminary Study

Enhancing Identification of High-Risk cN0 Lung Adenocarcinoma Patients Using MRI-Based Radiomic Features

Assessing the Viability of Polycaprolactone Mesh in Bilateral Orbital Floor Reconstruction: Insights From Le Fort II Fracture Cases

Exploring 3D Printed Implants With Anti-Dropout Function to Overcome Time Constraints in Acute Orbital Fractures for Patient-Specific Implants

Preoperative prediction of early recurrence in resectable pancreatic cancer integrating clinical, radiologic, and CT radiomics features

nnU-Net-Based Pancreas Segmentation and Volume Measurement on CT Imaging in Patients with Pancreatic Cancer

Histopathological correlations of CT-based radiomics imaging biomarkers in native kidney biopsy

Proactive Surgical Management and Outcomes of Unilateral Zygomaticomaxillary Complex Fractures in Major Trauma Patients: A National Level I Center Experience

Predictive value of preoperative gluteus and iliacus muscle volumes for patient-reported outcomes following total hip replacement: a three-dimensional volumetric analysis

Population-based, three-dimensional analysis of age- and sex-related femur shaft geometry differences

Retrospective evaluation of the clinical utility of reconstructed computed tomography images using artificial intelligence in the oral and maxillofacial region

Differences in femur geometry and bone markers in atypical femur fractures and the general population

Deep Active Learning for Automatic Segmentation of Maxillary Sinus Lesions Using a Convolutional Neural Network

Three-dimensional measurement of the course of the radial nerve at the posterior humeral shaft: An in vivo anatomical study

Evaluation of Effective Condyle Positioning Assisted by 3D Surgical Guide in Mandibular Reconstruction Using Osteocutaneous Free Flap

Age-dependent changes in CT vertebral attenuation values in opportunistic screening for osteoporosis: a nationwide multi-center study

Is decreased psoas volume a risk factor for hip fracture? A comparative study of patients with and without hip fractures using the exact matching technique

Regions of interest in opportunistic computed tomography-based screening for osteoporosis: impact on short-term in vivo precision

Feasibility of deep learning algorithm in diagnosing lumbar central canal stenosis using abdominal CT

Deep Learning Based Automatic Segmentation of the Thoracic Aorta from Chest Computed Tomography in Healthy Korean Adults

Development and validation of a reliable method for automated measurements of psoas muscle volume in CT scans using deep learning-based segmentation: a cross-sectional study

A deep learning–based automatic analysis of cardiovascular borders on chest radiographs of valvular heart disease: development/external validation

An Engineering View on Megatrends in Radiology: From Being Digital to Quantitative Tools of Medicine