Research Presentation Sessions: Artificial Intelligence & Machine Learning & Imaging Informatics

RPS 405 - AI applications in chest CT

Lectures

1
Machine learning classification of mediastinal lymph node metastasis in NSCLC: a multicentre study in a Western European patient population

Machine learning classification of mediastinal lymph node metastasis in NSCLC: a multicentre study in a Western European patient population

07:00Johannes Van Der Heide, Amsterdam / NL

2
Different lung parenchyma quantification using dissimilar segmentation software: a multi-centre study for COVID-19 patients

Different lung parenchyma quantification using dissimilar segmentation software: a multi-centre study for COVID-19 patients

07:00Camilla Risoli, Podenzano (Piacenza) / IT

3
Feature selection and prediction of resolving indeterminate lung nodules based on random forest

Feature selection and prediction of resolving indeterminate lung nodules based on random forest

07:00Jingxuan Wang, Groningen / NL

4
CT-based end-to-end deep learning approach for COVID-19 outcome prediction

CT-based end-to-end deep learning approach for COVID-19 outcome prediction

07:00Xuan Wei, Beijing / CN

5
Vaccination effect on patients with Delta variant of COVID-19 pneumonia: a study of longitudinal dynamic chest CTs using artificial intelligence model

Vaccination effect on patients with Delta variant of COVID-19 pneumonia: a study of longitudinal dynamic chest CTs using artificial intelligence model

07:00Yi Sun, Nanjing / CN

6
Automated CT severity score analysis of COVID-19 pneumonia: a comparative analysis against radiologists' estimation during a pandemic surge

Automated CT severity score analysis of COVID-19 pneumonia: a comparative analysis against radiologists' estimation during a pandemic surge

07:00Vasantha Kumar Venugopal, New Delhi / IN

7
RespiNet: a deep learning model for multipurpose segmentation in patients with atypical pulmonary morphology

RespiNet: a deep learning model for multipurpose segmentation in patients with atypical pulmonary morphology

07:00Stijn Bonte, Kontich / BE

8
Comparing emphysema detection based on a threshold and deep learning

Comparing emphysema detection based on a threshold and deep learning

07:00Matthias Perkonigg, Wien / AT

9
Using artificial intelligence to interrogate multi-national imaging datasets to determine the mechanism of COVID-19 pneumothorax

Using artificial intelligence to interrogate multi-national imaging datasets to determine the mechanism of COVID-19 pneumothorax

07:00Ian Andrew Selby, Cambridge / UK

10
Prediction of RECIST progression in NSCLC patients treated with immunotherapy using routine laboratory blood tests

Prediction of RECIST progression in NSCLC patients treated with immunotherapy using routine laboratory blood tests

07:00Melda Yeghaian, Amsterdam / NL

11
A multi-centre study on detection of COVID-19 using distinct AI models

A multi-centre study on detection of COVID-19 using distinct AI models

07:00Astha Jaiswal, Cologne / DE

12
Moderation

Moderation

00:00Constance De Margerie-Mellon, Paris / FR

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