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Diagnostic and Interventional Imaging
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May 23, 2021
Automatic cervical lymphadenopathy segmentation from CT data using deep learning
Adele Courot, Diana L F Cabrera, Nicolas Gogin, et al.
Diagnostic and Interventional Imaging
|
June 8, 2021
Automatic coronary artery calcium scoring from unenhanced-ECG-gated CT using deep learning
Nicolas Gogin, Mario Viti, Luc Nicodème, et al.
Diagnostic and Interventional Imaging
|
October 3, 2021
Breast nodule classification with two-dimensional ultrasound using Mask-RCNN ensemble aggregation
Ewan Evain, Caroline Raynaud, Cybèle Ciofolo-Veit, et al.
European Journal of Cancer (Oxford, England : 1990)
|
August 19, 2022
An artificial intelligence model predicts the survival of solid tumour patients from imaging and clinical data
Kathryn Schutte, Fabien Brulport, Sana Harguem-Zayani, et al.
Diagnostic and Interventional Imaging
|
July 27, 2021
Three artificial intelligence data challenges based on CT and ultrasound
Nathalie Lassau, Imad Bousaid, Emilie Chouzenoux, et al.
Nature Communications
|
January 28, 2021
Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients
Nathalie Lassau, Samy Ammari, Emilie Chouzenoux, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 6) with videos related to
Sort By:
Page
of 1
Diagnostic and Interventional Imaging
|
May 23, 2021
Automatic cervical lymphadenopathy segmentation from CT data using deep learning
Adele Courot, Diana L F Cabrera, Nicolas Gogin, et al.
Diagnostic and Interventional Imaging
|
June 8, 2021
Automatic coronary artery calcium scoring from unenhanced-ECG-gated CT using deep learning
Nicolas Gogin, Mario Viti, Luc Nicodème, et al.
Diagnostic and Interventional Imaging
|
October 3, 2021
Breast nodule classification with two-dimensional ultrasound using Mask-RCNN ensemble aggregation
Ewan Evain, Caroline Raynaud, Cybèle Ciofolo-Veit, et al.
European Journal of Cancer (Oxford, England : 1990)
|
August 19, 2022
An artificial intelligence model predicts the survival of solid tumour patients from imaging and clinical data
Kathryn Schutte, Fabien Brulport, Sana Harguem-Zayani, et al.
Diagnostic and Interventional Imaging
|
July 27, 2021
Three artificial intelligence data challenges based on CT and ultrasound
Nathalie Lassau, Imad Bousaid, Emilie Chouzenoux, et al.
Nature Communications
|
January 28, 2021
Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients
Nathalie Lassau, Samy Ammari, Emilie Chouzenoux, et al.
Page
of 1