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

RPS 205 - Artificial intelligence (AI) in the management of COVID-19

Lectures

1
Introduction by the moderator

Introduction by the moderator

02:00Laurens Topff, Amsterdam / NL

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

U-Net based denoising of sparsely sampled chest CT scans can be used to reduce radiation dose for detection of COVID-19 pneumonia

08:00Felix Hofmann, Munich / DE

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

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

08:00Mutlu Gulbay, Ankara / TR

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

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

08:00Matteo Barba, Orbassano / IT

5
Artificial intelligence and COVID-19: CT-based radiomics can identify false-negative swabs

Artificial intelligence and COVID-19: CT-based radiomics can identify false-negative swabs

08:00Nicolò Cardobi, Verona / IT

6
Artificial intelligence based severity assessment of COVID-19 pneumonia using a multireader chest x-ray dataset

Artificial intelligence based severity assessment of COVID-19 pneumonia using a multireader chest x-ray dataset

08:00Giovanni Tessarin, mogliano veneto / IT

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

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

08:00Alexey Petraikin, Moscow / RU

8
Development and validation of a prognosis and intervention prediction model for COVID-19 patients using clinical findings and artificial intelligence interpreted chest radiographs

Development and validation of a prognosis and intervention prediction model for COVID-19 patients using clinical findings and artificial intelligence interpreted chest radiographs

08:00Jong Seok Ahn, Seoul / KR

9
AI-assisted COVID-19 detection on unsegmented chest CT scans

AI-assisted COVID-19 detection on unsegmented chest CT scans

08:00Lucian Mihai Florescu, Craiova / RO

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

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

08:00Camila Gonzalez, Darmstadt / DE