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
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
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
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
08:00
5
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
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
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
08:00
9
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
08:00
