Jeremy J. Heit

USE-Evaluator: Performance metrics for medical image segmentation models supervised by uncertain, small or empty reference annotations in neuroimaging

2023 · 27 Zit. · Medical Image Analysis

Assistance from Automated ASPECTS Software Improves Reader Performance

2021 · 15 Zit. · Journal of Stroke and Cerebrovascular Diseases

A Clinical and Imaging Fused Deep Learning Model Matches Expert Clinician Prediction of 90-Day Stroke Outcomes

2024 · 13 Zit. · American Journal of Neuroradiology

Random expert sampling for deep learning segmentation of acute ischemic stroke on non-contrast CT

2024 · 10 Zit. · Journal of NeuroInterventional Surgery

Data-Driven Prognostication in Distal Medium Vessel Occlusions Using Explainable Machine Learning

2024 · 7 Zit. · American Journal of Neuroradiology

USE-Evaluator: Performance Metrics for Medical Image Segmentation Models with Uncertain, Small or Empty Reference Annotations

2022 · 1 Zit. · arXiv (Cornell University)

E-217 Detecting medium vessel occlusions and collateral assessment with multimodality AI approach

2024 · 0 Zit.

COPE: Chain-Of-Thought Prediction Engine for Open-Source Large Language Model Based Stroke Outcome Prediction from Clinical Notes

2025 · 0 Zit. · ArXiv.org

Abstract WP181: Effect of RapidAI Imaging Software Implementation on Workflow Metrics in Acute Ischemic Stroke Care

2025 · 0 Zit. · Stroke

Artificial Intelligence and Novel Trial Designs for Acute Ischemic Stroke: Opportunities and Challenges

2025 · 0 Zit. · Stroke

Abstract WP259: Automated Quantification of Infarct Growth in Endovascular Thrombectomy Using Deep Learning

2026 · 0 Zit. · Stroke