RÖKO 2024

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

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

CT quantification of pulmonary vessels in lung aging

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

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

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

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

Artificial intelligence in lung cancer: current applications and perspectives

Determination of the optimum definition of growth evaluation for indeterminate pulmonary nodules detected in lung cancer screening

Automated Computer-aided Detection of Lung Nodules in Metastatic Colorectal Cancer Patients for the Identification of Pulmonary Oligometastatic Disease

CT quantification of pulmonary vessels in lung aging

Treatment Response Evaluation by Computed Tomography Pulmonary Vasculature Analysis in Patients With Chronic Thromboembolic Pulmonary Hypertension

Subtyping preserved ratio impaired spirometry (PRISm) by using quantitative HRCT imaging characteristics

Traditional and Emerging AI-based Applications for Chronic Obstructive Pulmonary Disease on Chest CT

Current state and limitation of quantification analysis on chest CT

A Challenge for Emphysema Quantification Using a Deep Learning Algorithm With Low-dose Chest Computed Tomography

Quantitative Computed Tomography Parameters in Coronavirus Disease 2019 Patients and Prediction of Respiratory Outcomes Using a Decision Tree

CT-Based Commercial Software Applications: Improving Patient Care Through Accurate COPD Subtyping

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

Fully automated calcium scoring predicts all-cause mortality at 12 years in the MILD lung cancer screening trial

Opportunistic deep learning powered calcium scoring in oncologic patients with very high coronary artery calcium (≥1000) undergoing 18F‑FDG PET/CT

Fully automatic coronary calcium scoring in non-ECG-gated low-dose chest CT: comparison with ECG-gated cardiac CT

Association of Sinoatrial Node Radiation Dose With Atrial Fibrillation and Mortality in Patients With Lung Cancer

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

Prognostic value of deep learning-based fibrosis quantification on chest CT in idiopathic pulmonary fibrosis

Radiomics for the Prediction of Response to Antifibrotic Treatment in Patients with Idiopathic Pulmonary Fibrosis: A Pilot Study

Content-based image retrieval using deep learning for interstitial lung disease diagnosis by chest CT