Radiology Deep Network for the Automatic Segmentation and Quantification of Intracranial Hemorrhage on CT. January 28, 2021
Neurology | Radiology Recognition of moyamoya disease and its hemorrhagic risk using deep learning algorithms: sourced from retrospective studies. November 24, 2020
Emergency Medicine | Neurology | Radiology An East Coast Perspective on Artificial Intelligence and Machine Learning: Part 1: Hemorrhagic Stroke Imaging and Triage. October 11, 2020
Neurosurgery | Radiology Classification of Intracranial Hemorrhage Subtypes Using Deep Learning on CT Scans. July 1, 2020
Emergency Medicine | Neuroradiology | Radiology Analysis of head CT scans flagged by deep learning software for acute intracranial hemorrhage. December 12, 2019
Neurology | Radiology Expert-level detection of acute intracranial hemorrhage on head computed tomography using deep learning. October 22, 2019
Emergency Medicine | Neurology | Radiology Improving Sensitivity on Identification and Delineation of Intracranial Hemorrhage Lesion Using Cascaded Deep Learning Models. May 19, 2019
Neurology | Radiology Precise diagnosis of intracranial hemorrhage and subtypes using a three-dimensional joint convolutional and recurrent neural network. May 1, 2019
Radiology Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study. February 22, 2019