RSNA 2023

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

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

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

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

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

Automated Reading May Improve the Safety of Triennial Lung Cancer Screening Intervals for Low-Risk Subjects

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

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

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

Automated Reading May Improve the Safety of Triennial Lung Cancer Screening Intervals for Low-Risk Subjects

Software using artificial intelligence for nodule and cancer detection in CT lung cancer screening: systematic review of test accuracy studies

Incidental detection of ground glass nodules and primary lung cancer in patients with breast cancer: prevalence and long-term follow-up on chest computed tomography

Theranostics and artificial intelligence: new frontiers in personalized medicine

Comparison of AI software tools for automated detection, quantification and categorization of pulmonary nodules in the HANSE LCS trial

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

Gender differences in association between expiratory dynamic airway collapse and severity of obstructive sleep apnea

Robust imaging approach for precise prediction of postoperative lung function in lung cancer patients prior to curative operation

The Impact of High Ratio of Airway Luminal Volume to Blood Volume in the Lungs on Exacerbations in Chronic Obstructive Pulmonary Disease

Relationship of computed tomography-based measurements with symptom perception and quality of life in patients with severe asthma

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

Artificial Intelligence in Coronary Artery Calcium Scoring

Influence of computed tomography slice thickness on deep learning-based, automatic coronary artery calcium scoring software performance

Artificial intelligence using a deep learning versus expert computed tomography human reading in calcium score and coronary artery calcium data and reporting system classification

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

Chronic Lung Injury after COVID-19 Pneumonia: Clinical, Radiologic, and Histopathologic Perspectives

Association between body fat decrease during the first year after diagnosis and the prognosis of idiopathic pulmonary fibrosis: CT-based body composition analysis

Pulse versus non-pulse corticosteroid therapy in patients with acute exacerbation of idiopathic pulmonary fibrosis

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

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

Computed Tomography Radiomics for Preoperative Prediction of Spread Through Air Spaces in the Early Stage of Surgically Resected Lung Adenocarcinomas

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

Mirror Image Based Three-Dimensional Virtual Surgical Planning and Three-Dimensional Printing Guide System for the Reconstruction of Wide Maxilla Defect Using the Deep Circumflex Iliac Artery Free Flap

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