Research Presentation Sessions: Imaging Informatics / Artificial Intelligence and Machine Learning

Artificial intelligence (AI) in the management of COVID-19

Lectures

1
Introduction by the moderator - Laurens Topff, Amsterdam / NL

Introduction by the moderator - Laurens Topff, Amsterdam / NL

02:00

2
U-Net based denoising of sparsely sampled chest CT scans can be used to reduce radiation dose for detection of COVID-19 pneumonia - Felix Hofmann, Munich / DE

U-Net based denoising of sparsely sampled chest CT scans can be used to reduce radiation dose for detection of COVID-19 pneumonia - Felix Hofmann, Munich / DE

08:00

3
Comparison of clinical, radiological and combined machine learning models in predicting COVID-19 patients who will require intensive care unit - Mutlu Gulbay, Ankara / TR

Comparison of clinical, radiological and combined machine learning models in predicting COVID-19 patients who will require intensive care unit - Mutlu Gulbay, Ankara / TR

08:00

4
CNN-based automatic analysis of chest radiographs for the detection of COVID-19 pneumonia: a prioritising tool in the emergency department, phase I study and preliminary “real world” results - Matteo Barba, Orbassano / IT

CNN-based automatic analysis of chest radiographs for the detection of COVID-19 pneumonia: a prioritising tool in the emergency department, phase I study and preliminary “real world” results - Matteo Barba, Orbassano / IT

08:00

5
Artificial intelligence and COVID-19: CT-based radiomics can identify false-negative swabs - Nicolò Cardobi, Verona / IT

Artificial intelligence and COVID-19: CT-based radiomics can identify false-negative swabs - Nicolò Cardobi, Verona / IT

08:00

6
Artificial intelligence based severity assessment of COVID-19 pneumonia using a multireader chest x-ray dataset - Giovanni Tessarin, mogliano veneto / IT

Artificial intelligence based severity assessment of COVID-19 pneumonia using a multireader chest x-ray dataset - Giovanni Tessarin, mogliano veneto / IT

08:00

7
Artificial intelligence algorithm for automated detection of compression fractures and low vertebral body mineral density using chest CT images during the COVID-19 pandemic - Alexey Petraikin, Moscow / RU

Artificial intelligence algorithm for automated detection of compression fractures and low vertebral body mineral density using chest CT images during the COVID-19 pandemic - Alexey Petraikin, Moscow / RU

08:00

8
Development and validation of a prognosis and intervention prediction model for COVID-19 patients using clinical findings and artificial intelligence interpreted chest radiographs - Jong Seok Ahn, Seoul / KR

Development and validation of a prognosis and intervention prediction model for COVID-19 patients using clinical findings and artificial intelligence interpreted chest radiographs - Jong Seok Ahn, Seoul / KR

08:00

9
AI-assisted COVID-19 detection on unsegmented chest CT scans - Lucian Mihai Florescu, Craiova / RO

AI-assisted COVID-19 detection on unsegmented chest CT scans - Lucian Mihai Florescu, Craiova / RO

08:00

10
An integrated method to detect silent failures in pretrained nnU-Net models for COVID-19 lung lesion segmentation: towards automated failure detection of DNNs - Camila Gonzalez, Darmstadt / DE

An integrated method to detect silent failures in pretrained nnU-Net models for COVID-19 lung lesion segmentation: towards automated failure detection of DNNs - Camila Gonzalez, Darmstadt / DE

08:00