Pulmonology | Radiology Automated Lung Segmentation from Computed Tomography Images of Normal and COVID-19 Pneumonia Patients. September 19, 2022
Nuclear Medicine | Radiology Deep-TOF-PET: Deep learning-guided generation of time-of-flight from non-TOF brain PET images in the image and projection domains. September 10, 2022
Nuclear Medicine | Radiology Direct inference of Patlak parametric images in whole-body PET/CT imaging using convolutional neural networks. June 18, 2022
Oncology | Radiology Decentralized Distributed Multi-institutional PET Image Segmentation Using a Federated Deep Learning Framework. April 20, 2022
Infectious Diseases | Pulmonology | Radiology COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14,339 patients. April 4, 2022
Neurology | Radiology Robust-Deep: A Method for Increasing Brain Imaging Datasets to Improve Deep Learning Models’ Performance and Robustness. February 9, 2022
Medical Imaging | Obstetrics and Gynecology | Radiology Fast and Accurate U-Net Model for Fetal Ultrasound Image Segmentation. January 6, 2022
Infectious Diseases | Pulmonology | Radiology COLI-Net: Deep learning-assisted fully automated COVID-19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography images. December 13, 2021
Cardiology | Nuclear Medicine Deep learning-based denoising of low-dose SPECT myocardial perfusion images: quantitative assessment and clinical performance. November 15, 2021
Nuclear Medicine | Radiology DeepTOFSino: A Deep Learning Model for Synthesizing Full-Dose time-of-flight bin Sinograms from their Corresponding Low-Dose Sinograms. November 7, 2021
Radiology Deep learning-based fully automated Z-axis coverage range definition from scout scans to eliminate overscanning in chest CT imaging. November 7, 2021
Radiation Oncology | Radiology Comparison of different deep learning architectures for synthetic CT generation from MR images. October 1, 2021