80 citations · 81 across the 3 of their papers we have counts for
3 papers
Identification of Hemorrhage and Infarct Lesions on Brain CT Images using Deep Learning
Arunkumar Govindarajan, Arjun Agarwal, Subhankar Chattoraj +5
Head Non-contrast computed tomography (NCCT) scan remain the preferred primary imaging modality due to their widespread availability and speed. However, the current standard for ma…
Deep-ASPECTS: A Segmentation-Assisted Model for Stroke Severity Measurement
Ujjwal Upadhyay, Mukul Ranjan, Satish Golla +5
A stroke occurs when an artery in the brain ruptures and bleeds or when the blood supply to the brain is cut off. Blood and oxygen cannot reach the brain's tissues due to the ruptu…
Development and Validation of Deep Learning Algorithms for Detection of Critical Findings in Head CT Scans
Sasank Chilamkurthy, Rohit Ghosh, Swetha Tanamala +6
Importance: Non-contrast head CT scan is the current standard for initial imaging of patients with head trauma or stroke symptoms. Objective: To develop and validate a set of deep…