Oncology | Radiology Preserving fairness and diagnostic accuracy in private large-scale AI models for medical imaging. March 15, 2024
Immunology | Oncology A distinct stimulatory cDC1 subpopulation amplifies CD8 T cell responses in tumors for protective anti-cancer immunity. July 14, 2023
Intensive Care Medicine | Radiology A deep learning model enables accurate prediction and quantification of pulmonary edema from chest X-rays. May 26, 2023
Radiology Development and Validation of a Deep Learning Algorithm to Differentiate Colon Carcinoma From Acute Diverticulitis in Computed Tomography Images. January 27, 2023
Radiology A computed tomography vertebral segmentation dataset with anatomical variations and multi-vendor scanner data. October 29, 2021
Radiology Feature Robustness and Diagnostic Capabilities of Convolutional Neural Networks Against Radiomics Features in Computed Tomography Imaging. September 15, 2021
Neurology | Radiology Efficient, high-performance semantic segmentation using multi-scale feature extraction. August 19, 2021
AI in Medicine | Public Health | Radiology Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. March 30, 2021
Oncology | Radiology Deep Convolutional Neural Network-Assisted Feature Extraction for Diagnostic Discrimination and Feature Visualization in Pancreatic Ductal Adenocarcinoma (PDAC) versus Autoimmune Pancreatitis (AIP). December 16, 2020
Oncology | Radiology [Artificial intelligence and machine learning in oncologic imaging]. October 14, 2020