Deep learning enables non-invasive estimation of mean pulmonary arterial pressure from PREFUL-MRI - Milan 2023

Deep learning, new technologies and biomarkers in imaging

Chair(s): Elzbieta Magdalena Grabczak, Gergely Szabo

Session type: Poster session

Deep learning enables non-invasive estimation of mean pulmonary arterial pressure from PREFUL-MRI

Maximilian Zubke

EVENTS HOME

Poster
Abstract

Previous presentation

Next presentation

Session content

Dynamic chest radiography evaluation of the effects of tiotropium/olodaterol combination therapy in COPD: EMBODY study protocol

Jun Ikari

Poster

Abstract

Effect of benralizumab on small airway dysfunction using functional respiratory imaging in patients with severe eosinophilic asthma

Lennart Conemans

Poster

Abstract

Imaging of human airways by endoscope-compatible dynamic microscopic optical coherence tomography

Mario Pieper

Poster

Abstract

Quantitative computed tomography assessment of pulmonary structure in cannabis smokers

Sukhraj Virdee

Poster

Abstract

Increased volume of pulmonary veins on CT associates independently with higher mortality in smokers with and without COPD

Tjeerd Van Der Veer

Poster

Abstract

CT-quantified pulmonary artery volume associates independently with higher mortality in smokers with and without COPD

Tjeerd Van Der Veer

Poster

Abstract

Use of dynamic chest radiographic measurements to estimate total lung capacity in patients with respiratory disease

Fred Fyles

Poster

Abstract

Correlation between ventilation heterogeneity and virtual scintigraphy through Functional Respiratory Imaging (FRI)

Hosein Sadafi

Poster

Abstract

Deep learning enables non-invasive estimation of mean pulmonary arterial pressure from PREFUL-MRI

Maximilian Zubke

Poster

Abstract

Machine learning applied to chest x-rays to support the diagnosis of pulmonary tuberculosis

Marcelo Fouad Rabahi

Abstract

Bioradiomic SPECT-CT quantification of active lung inflammation is influenced by heterogeneity of lung tissue

Benjamin Welham

Poster

Abstract

The comparison of quantitative CT features of COPD and pre-COPD: results from a real-life study

Selin Ercan

Poster

Abstract

Computational fluid dynamics analysis of computed tomography images in asthma

So Ri Kim

Poster

Abstract

Using CT to detect large airway collapse in severe asthma: worth the extra effort?

Wei Ling Chia

Poster

Abstract

Multisite implementation of 129Xe-MRI assessment of COPD disease progression: XeCITE early results

Alexandre Coimbra

Poster

Abstract

Can tracheobronchial tree and luminal descriptors be used as objective imaging biomarkers in COPD?

Rodrigo Nava

Poster

Abstract

CT-based assessment of alveolar collapse using attenuation histograms in inspiration and expiration: Evaluation as a prognostic imaging marker in IPF patients

Sarah Scharm

Poster

Abstract

PCD-AID: artificial intelligence diagnosis of primary ciliary dyskinesia

Mathieu Bottier

Poster

Abstract

Utilising computer vision artificial intelligence to identify defects in airway ciliary motility and mucociliary clearance

Mathieu Bottier

Poster

Abstract

Differentiating diffuse cystic lung disease and emphysema cases from normal using Artificial Intelligence

Ronan Hearne

Poster

Abstract

CDN Connection Issue

The ERS International Congress 2023, Milan

#{title}