KCR 2023

CT quantification of pulmonary vessels in lung aging

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

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

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

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

Low-dose CT for lung cancer screening: position paper from the Italian college of thoracic radiology

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

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

Content-Based Image Retrieval of Chest CT with Convolutional Neural Network for Diffuse Interstitial Lung Disease: Performance Assessment in Three Major Idiopathic Interstitial Pneumonias

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

Quantitative computed tomography texture analysis: can it improve diagnostic accuracy to differentiate malignant lymph nodes?

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

A Modified Length-Based Grading Method for Assessing Coronary Artery Calcium Severity on Non-Electrocardiogram-Gated Chest Computed Tomography: A Multiple-Observer Study

Radiomics approach to the condylar head for legal age classification using cone-beam computed tomography: A pilot study

Changes in abdominal fat depots after bariatric surgery are associated with improved metabolic profile

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

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