Category: Magnetic resonance imaging

Research

Computed tomography | Echocardiography | ECG | Magnetic resonance imaging | Cardiology | Radiology
Cardiovascular Lab
Developing and bringing AI solutions to cardiovascular disease care.

Magnetic resonance imaging | Abdomen | Intestines | Radiology
Gastrointestinal Lab
Developing and bringing AI solutions to subjects with gastrointestinal disorders or diseases.

Magnetic resonance imaging | Brain | Neonatology
Neonatal brain lab
Developing and bringing AI solutions for the analysis of the neonatal brain.

Oncology | Whole-slides images | Magnetic resonance imaging | Genetics
Oncology Lab
Developing and bringing AI solutions to improve cancer treatment

Projects

2021
 | 
2026
Echocardiography | ECG | Magnetic resonance imaging | AI for Cardiology | Cardiology | Radiology | MRI | CT
Identification of deterioration in non-hospitalized heart failure patients
Developing AI-based decision-making using multi-modal data to stratify hospitalization risk in heart failure
ONGOING

2016
 | 
2020
Magnetic resonance imaging | Neonatology | Radiology
Quantitative analysis of nutrition supplements on neonatal brain development
Developing AI methods for quantitative description of neonatal brain development with MRI
FINISHED

2012
 | 
2016
Magnetic resonance imaging | Neonatology | Radiology
Automatic analysis of the developing neonatal brain
Developing AI methods for automatic and quantitative analysis of neonatal brain with MRI.
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

2019
 | 
2024
Magnetic resonance imaging | Abdomen | Intestines | Radiology
AI for the detection of gastrointestinal motility in 3D cine MR
Develop a deep learning method to automatically quantify gastrointestinal motion using dynamic 2D and 3D MRI of the abdomen.
FINISHED

2017
 | 
2022
Magnetic resonance imaging | AI for Cardiology | Cardiology | Radiology
DLMedIA: Dynamic deep learning in cardiac disease
Developing dynamic learning strategies for deep learning systems in clinical environments.
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