SIRM 2024

영상의학에서 폐영상 판독과 자료체계: 강점, 단점, 그리고 개선 (Lung Imaging Reporting and Data System (Lung-RADS) in Radiology: Strengths, Weaknesses and Improvement)

CT Quantification of Interstitial Lung Abnormality and Interstitial Lung Disease: From Technical Challenges to Future Directions

Effects of sirolimus in lymphangioleiomyomatosis patients on lung cysts and pulmonary function: long-term follow-up observational study

Visual and Quantitative Assessments of Regional Xenon-Ventilation Using Dual-Energy CT in Asthma-Chronic Obstructive Pulmonary Disease Overlap Syndrome: A Comparison with Chronic Obstructive Pulmonary Disease

Deep learning parametric response mapping from inspiratory chest CT scans: a new approach for small airway disease screening

Artificial Intelligence in Coronary Artery Calcium Scoring

CT Image Conversion among Different Reconstruction Kernels without a Sinogram by Using a Convolutional Neural Network

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

영상의학에서 폐영상 판독과 자료체계: 강점, 단점, 그리고 개선 (Lung Imaging Reporting and Data System (Lung-RADS) in Radiology: Strengths, Weaknesses and Improvement)

Differentiation of predominant subtypes of lung adenocarcinoma using a quantitative radiomics approach on CT

Assessment of artificial intelligence-aided computed tomography in lung cancer screening

Absolute ground truth-based validation of computer-aided nodule detection and volumetry in low-dose CT imaging

AI Can Greatly Reduce Radiologist Workload if Used as a First Read Filter to Rule-Out Negative Cases in Lung Cancer Screening

Low-Dose CT Iterative Reconstructions can Impact Lung Nodule Measurements and Type Classification

Artificial Intelligence as Concurrent Reader in Prospective European Lung Cancer Screening (4-INTHE-LUNG-RUN) Trial

See Lung Cancer with an AI

Effects of sirolimus in lymphangioleiomyomatosis patients on lung cysts and pulmonary function: long-term follow-up observational study

Visual and Quantitative Assessments of Regional Xenon-Ventilation Using Dual-Energy CT in Asthma-Chronic Obstructive Pulmonary Disease Overlap Syndrome: A Comparison with Chronic Obstructive Pulmonary Disease

Deep learning parametric response mapping from inspiratory chest CT scans: a new approach for small airway disease screening

CT Image Conversion among Different Reconstruction Kernels without a Sinogram by Using a Convolutional Neural Network

Long-term exposure to PM10 and NO2 in relation to lung function and imaging phenotypes in a COPD cohort

Assessment of artificial intelligence-aided chest computed tomography in diagnosis of chronic obstructive airway disease: an observational study

Predicting Postoperative Lung Function in Patients with Lung Cancer Using Imaging Biomarkers

Assessment of Treatment Response in Patients With Severe Asthma Using Visual and Quantitative Analysis of Chest CT

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

Coronary Artery Calcification on Low-Dose Lung Cancer Screening CT in South Korea: Visual and Artificial Intelligence–Based Assessment and Association With Cardiovascular Events

The Role of Artificial Intelligence in Coronary Calcium Scoring in Standard Cardiac Computed Tomography and Chest Computed Tomography With Different Reconstruction Kernels

Predicting Adverse Cardiac Events After Radiotherapy for Locally Advanced Non–Small Cell Lung Cancer

Long-term outcomes of lung cancer screening in males and females

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

CT Quantification of Interstitial Lung Abnormality and Interstitial Lung Disease: From Technical Challenges to Future Directions

Shunt fraction and radiological involvement in Covid-19 related Acute Respiratory Failure

Long-Term Follow-Up of Interstitial Lung Abnormality: Implication in Follow-Up Strategy and Risk Thresholds

Measurement Variability of Same-Day CT Quantification of Interstitial Lung Disease: A Multicenter Prospective Study

Value of CT quantification in progressive fibrosing interstitial lung disease: a deep learning approach

Generative Adversarial Network-Based Image Conversion Among Different Computed Tomography Protocols and Vendors: Effects on Accuracy and Variability in Quantifying Regional Disease Patterns of Interstitial Lung Disease

Automated CT quantification of interstitial lung abnormality and interstitial lung disease according to the Fleischner Society in patients with resectable lung cancer: prognostic significance

Interstitial Lung Abnormalities at CT in the Korean National Lung Cancer Screening Program: Prevalence and Deep Learning–based Texture Analysis