Medical Physics | Radiology Fully automated explainable abdominal CT contrast media phase classification using organ segmentation and machine learning. April 17, 2024
Nuclear Medicine | Radiology Deep learning-based partial volume correction in standard and low-dose positron emission tomography-computed tomography imaging. March 28, 2024
Neurology | Nuclear Medicine | Radiology Attention-based deep neural network for partial volume correction in brain F-FDG PET imaging. February 20, 2024
Medical Imaging | Nuclear Medicine | Radiology Image reconstruction using UNET-transformer network for fast and low-dose PET scans. November 25, 2023
Nuclear Medicine | Radiology Differential privacy preserved federated transfer learning for multi-institutional Ga-PET image artefact detection and disentanglement. September 8, 2023
Neurology | Radiology An active learning approach to train a deep learning algorithm for tumor segmentation from brain MR images. August 24, 2023
Emergency Medicine | Neurology | Neuroradiology | Radiology Reduction of scan duration and radiation dose in cerebral CT perfusion imaging of acute stroke using a recurrent neural network. June 16, 2023
Nuclear Medicine | Radiology A cycle-consistent adversarial network for brain PET partial volume correction without prior anatomical information. February 22, 2023
Medical Imaging | Radiology Decentralized collaborative multi-institutional PET attenuation and scatter correction using federated deep learning. December 12, 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
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