Category: Cardiovascular

Research

Optical coherence tomography | AI for Cardiology | Cardiovascular | Cardiology
CARA Lab
Developing AI trustworthy AI-solutions for real-time analysis of coronary optical coherence tomography (OCT) images

Projects

2023
 | 
2027
DSA | Ultrasound | Cardiovascular | Genetics | CT
Predicting cardiovascular events and risk of disease progression for peripheral arterial disease
Developing AI-based methods for multi-modal patient-specific prediction of PAD progression
ONGOING

2023
 | 
2028
Computed tomography | Cardiovascular | CT
AI for the analysis of cardiovascular risk in breast cancer survivors
Developing AI tools for personalized prediction of cardiovascular disease and body composition quantification in breast cancer survivors undergoing radiotherapy treatment planning CT
ONGOING

2023
 | 
2027
Cardiovascular
Coronary artery analysis in high-end CCTA
Developing robust deep learning models for non-invasive coronary artery stenosis assessment using spectral and photon-counting CCTAs
ONGOING

2023
 | 
2027
Optical coherence tomography | Cardiovascular
AI for real time coronary optical coherence tomography analysis
Towards robust and trustworthy AI-systems for real-time analysis of coronary optical coherence tomography
ONGOING

2020
 | 
2023
X-ray angiography | Echocardiography | AI for Cardiology | Image diagnosis | Data analysis | Cardiovascular | Cardiology
AI for risk stratification and decision making in patients with coronary heart disease
Analyzing cardiology data for improvement of the patient care
FINISHED

2021
 | 
2025
Echocardiography | Cardiovascular | Cardiology
Risk stratification in coronary heart disease with echocardiography
Developing AI-based risk stratification in coronary heart disease with echocardiography
FINISHED

2011
 | 
2013
Computed tomography | Cardiovascular | Radiology
Atherosclerotic calcifications of head and neck arteries
Relating calcifications and stenosis in the internal carotid artery in patients with symptoms of cerebrovascular disease
FINISHED

2014
 | 
2018
Computed tomography | Cardiovascular | Radiology
Automatic detection of CVD and osteoporosis in lung cancer screening trials
Developing AI methods for automatic detection of cardiovascular and spine diseases in chest CT
FINISHED

2012
 | 
2017
Computed tomography | Cardiovascular | Genetics | Radiology
Cardiovascular phenotype-genotype analysis within a CT based lung cancer screening trial
Developing machine learning methods to measure existing and novel imaging biomarkers related to cardiovascular disease in chest CT
FINISHED

2015
 | 
2019
Computed tomography | Cardiovascular | Cardiology | Radiology
Automatic identification of patients with functionally significant obstructive coronary artery disease using non-invasive cardiac CT
Developing AI models to identify patients with functionally significant coronary artery disease.
FINISHED

2020
 | 
2022
Computed tomography | Magnetic resonance imaging | AI for Cardiology | Cardiovascular | Cardiology
Early detection of individuals at risk of cardiac events
Developing deep learning techniques for accurate selection of patients at risk of acute coronary syndrome or sudden cardiac death from CT scans.
FINISHED

2016
 | 
2020
Computed tomography | Cardiovascular | Cardiology | CT
Cardiovascular risk in breast cancer patients with radiotherapy planning CT
Automated cardiovascular risk prediction in breast cancer patients undergoing radiotherapy treatment planning CT
FINISHED

2020
 | 
2024
Computed tomography | AI for Cardiology | Cardiovascular | Cardiology | Radiology
Non-invasive and intravascular identification and drug-eluting balloon treatment of vulnerable lipid-rich plaques
Developing non-invasive AI-based method that detects and characterizes lipid-rich plaque in computed tomography coronary angiography.
FINISHED

2020
 | 
2023
ECG | AI for Cardiology | Data analysis | Cardiovascular | Cardiology
Cardiac arrhythmia in patients with congenital heart disease
Developing an algorithm that analyzes single-lead ECG to identify cardiac arrhythmia.
FINISHED

2017
 | 
2022
Computed tomography | AI for Cardiology | Cardiovascular | Cardiology | Radiology
DLMedIA: Deep transfer learning in cardiovascular disease
Developing deep transfer learning techniques to effectively analyze medical imaging data with variation in scanners, scan protocols, and patient populations.
FINISHED

2017
 | 
2022
Computed tomography | Cardiovascular | Cardiology | Radiology
DLMedIA: Deep generative models for cardiovascular disease
Developing deep generative models to learn more efficiently from less data in the analysis of cardiac CT.
FINISHED

2017
 | 
2022
Computed tomography | Magnetic resonance imaging | Cardiovascular | Cardiology | Radiology
DLMedIA: High dimensional data for cardiovascular disease
Developing deep learning techniques for quantitative analysis of 4- and 5-dimensional CT and MR images of the heart
FINISHED

2019
 | 
2023
Computed tomography | Cardiovascular | Cardiology | Radiology
AI for CCTA-based prediction of FFR
Developing AI models to predict invasively measured fractional flow reserve noninvasively
FINISHED