SOTAVerified

Pulmonary Embolism Detection

Papers

Showing 110 of 11 papers

TitleStatusHype
Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism DetectionCode1
Models Genesis: Generic Autodidactic Models for 3D Medical Image AnalysisCode1
Convolutional Neural Network for Early Pulmonary Embolism Detection via Computed Tomography Pulmonary Angiography0
Deep learning in computed tomography pulmonary angiography imaging: a dual-pronged approach for pulmonary embolism detection0
Detecting Pulmonary Embolism from Computed Tomography Using Convolutional Neural Network0
Anatomically aware dual-hop learning for pulmonary embolism detection in CT pulmonary angiograms0
RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR0
Automated Pulmonary Embolism Detection from CTPA Images Using an End-to-End Convolutional Neural Network0
Pi-PE: A Pipeline for Pulmonary Embolism Detection using Sparsely Annotated 3D CT Images0
PECon: Contrastive Pretraining to Enhance Feature Alignment between CT and EHR Data for Improved Pulmonary Embolism DiagnosisCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ModelGenesisAUC88.04Unverified