Pulmonology | Radiology Enhancing a deep learning model for pulmonary nodule malignancy risk estimation in chest CT with uncertainty estimation. March 27, 2024
Oncology | Radiology Nodule detection and generation on chest X-rays: NODE21 Challenge. March 26, 2024
Pulmonology | Radiology Estimating lung function from computed tomography at the patient and lobe level using machine learning. February 8, 2024
Radiology Deep learning for the detection of benign and malignant pulmonary nodules in non-screening chest CT scans. October 27, 2023
Pulmonology | Radiology Emphysema subtyping on thoracic computed tomography scans using deep neural networks. August 29, 2023
Oncology | Radiology Prior CT Improves Deep Learning for Malignancy Risk Estimation of Screening-detected Pulmonary Nodules. August 1, 2023
Pulmonology | Radiology Innovations in thoracic imaging: CT, radiomics, AI and x-ray velocimetry. August 15, 2022
Radiology Automated COVID-19 Grading With Convolutional Neural Networks in Computed Tomography Scans: A Systematic Comparison. May 18, 2022
Oncology | Radiology Deep Learning for Lung Cancer Detection on Screening CT Scans: Results of a Large-Scale Public Competition and an Observer Study with 11 Radiologists. December 6, 2021
Pulmonology | Radiology Deep Learning for Malignancy Risk Estimation of Pulmonary Nodules Detected at Low-Dose Screening CT. May 18, 2021