Detection and severity quantification of pulmonary embolism with 3D CT data using an automated deep learning-based artificial solution

Detection and quantification of pulmonary embolism with artificial intelligence: The SFR 2022 artificial intelligence data challenge

(2023) Younes Belkouchi et al.   Diagnostic and Interventional Imaging

Impact of dose reduction and iterative reconstruction algorithm on the detectability of pulmonary nodules by artificial intelligence

(2022) Moritz Schwyzer et al.   Diagnostic and Interventional Imaging

CAM‐Wnet: an effective solution for accurate pulmonary embolism segmentation

(2022) Zhenhong Liu et al.   MEDICAL PHYSICS

A two step workflow for pulmonary embolism detection using deep learning and feature extraction

(2022) G. Olescki et al.   Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization

The Medical Segmentation Decathlon

(2022) Michela Antonelli et al.   Nature Communications

Artificial intelligence in emergency radiology: A review of applications and possibilities

(2022) Benjamin D. Katzman et al.   Diagnostic and Interventional Imaging

Does artificial intelligence surpass the radiologist?

(2022) Philippe Soyer et al.   Diagnostic and Interventional Imaging

Artificial intelligence in diagnostic and interventional radiology: Where are we now?

(2022) Tom Boeken et al.   Diagnostic and Interventional Imaging

Automatic cervical lymphadenopathy segmentation from CT data using deep learning

(2021) Adele Courot et al.   Diagnostic and Interventional Imaging

Spectral augmentation for heart chambers segmentation on conventional contrasted and unenhanced CT scans: an in-depth study

(2021) Pierre-Jean Lartaud et al.   International Journal of Computer Assisted Radiology and Surgery

CT Angiography Clot Burden Score from Data Mining of Structured Reports for Pulmonary Embolism

(2021) Matthias A. Fink et al.   RADIOLOGY

Probability-based Mask R-CNN for pulmonary embolism detection

(2020) Kun Long et al.   NEUROCOMPUTING

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

(2020) Fabian Isensee et al.   NATURE METHODS

Assessing the severity of pulmonary embolism among patients in the emergency department: Utility of RV/LV diameter ratio

(2020) Sung-uk Cho et al.   PLoS One

Pulmonary Embolism

(2019) Eno-Obong Essien et al.   MEDICAL CLINICS OF NORTH AMERICA

Demystification of AI-driven medical image interpretation: past, present and future

(2018) Peter Savadjiev et al.   EUROPEAN RADIOLOGY

Focal loss for dense object detection

(2018) Tsung-Yi Lin et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A new dataset of computed-tomography angiography images for computer-aided detection of pulmonary embolism

(2018) Mojtaba Masoudi et al.   Scientific Data

Accuracy and reproducibility of CT right-to-left ventricular diameter measurement in patients with acute pulmonary embolism

(2017) Yvonne M. Ende-Verhaar et al.   PLoS One

Region-Based Convolutional Networks for Accurate Object Detection and Segmentation

(2016) Ross Girshick et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Computed tomography of acute pulmonary embolism: state-of-the-art

(2015) Long Jiang Zhang et al.   EUROPEAN RADIOLOGY

Natural language processing of radiology reports for the detection of thromboembolic diseases and clinically relevant incidental findings

(2014) Anne-Dominique Pham et al.   BMC BIOINFORMATICS

Prognostic Value of Echocardiography in Normotensive Patients With Acute Pulmonary Embolism

(2014) Piotr Pruszczyk et al.   JACC-Cardiovascular Imaging

Pulmonary embolism and deep vein thrombosis

(2012) Samuel Z Goldhaber et al.   LANCET

Early Anticoagulation Is Associated With Reduced Mortality for Acute Pulmonary Embolism

(2010) Sean B. Smith et al.   CHEST

Computed tomographic pulmonary angiography in the assessment of severity of chronic thromboembolic pulmonary hypertension and right ventricular dysfunction

(2010) Min Liu et al.   EUROPEAN JOURNAL OF RADIOLOGY