Neuroradiology Deep Learning De-Noising Improves CT Perfusion Image Quality in the Setting of Lower Contrast Dosing: A Feasibility Study. June 6, 2024
Neurology | Radiology CT Perfusion Map Synthesis from CTP Dynamic Images Using a Learned LSTM Generative Adversarial Network for Acute Ischemic Stroke Assessment. April 3, 2024
Gastroenterology | Oncology | Radiology Automated Quantitative Analysis of CT Perfusion to Classify Vascular Phenotypes of Pancreatic Ductal Adenocarcinoma. February 10, 2024
Neurology | Radiology The value of a deep learning image reconstruction algorithm in whole-brain computed tomography perfusion in patients with acute ischemic stroke. December 18, 2023
Neurology | Radiology Evaluation of a CTA-based convolutional neural network for infarct volume prediction in anterior cerebral circulation ischaemic stroke. June 24, 2021
Neurology | Radiology Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning. November 4, 2019
Neurology | Radiology Stacked Bidirectional Convolutional LSTMs for Deriving 3D Non-contrast CT from Spatiotemporal 4D CT. September 4, 2019
Neuroradiology | Radiology : Deep Spatial-Temporal Image Restoration Net for Radiation Reduction in CT Perfusion. July 15, 2019
Neurology | Radiology Learning to Predict Ischemic Stroke Growth on Acute CT Perfusion Data by Interpolating Low-Dimensional Shape Representations. December 17, 2018