A5084070018- Cardiac Imaging and Diagnostics
- Advanced X-ray and CT Imaging
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Medical Image Segmentation Techniques
- Neonatal and fetal brain pathology
- Coronary Interventions and Diagnostics
- Advanced MRI Techniques and Applications
- Fetal and Pediatric Neurological Disorders
- Lung Cancer Diagnosis and Treatment
- Cardiac Valve Diseases and Treatments
- Cerebrovascular and Carotid Artery Diseases
- Radiation Dose and Imaging
- AI in cancer detection
- Advanced Neuroimaging Techniques and Applications
- Advanced Radiotherapy Techniques
- Medical Imaging and Analysis
- Cardiovascular Function and Risk Factors
- Neonatal Respiratory Health Research
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Cardiovascular Disease and Adiposity
- Acute Ischemic Stroke Management
- Advanced Image Processing Techniques
- Infant Development and Preterm Care
- COVID-19 diagnosis using AI
Amsterdam University Medical Centers
2019-2025
University of Amsterdam
2019-2025
Cancer Center Amsterdam
2025
University Medical Center Utrecht
2013-2023
Amsterdam Neuroscience
2023
Amsterdam UMC Location University of Amsterdam
2021-2022
University Medical Center
2014-2022
Centrum Wiskunde & Informatica
2022
Utrecht University
2010-2021
Heidelberg University
2003-2020
Delineation of the left ventricular cavity, myocardium, and right ventricle from cardiac magnetic resonance images (multi-slice 2-D cine MRI) is a common clinical task to establish diagnosis. The automation corresponding tasks has thus been subject intense research over past decades. In this paper, we introduce "Automatic Cardiac Diagnosis Challenge" dataset (ACDC), largest publicly available fully annotated for purpose MRI (CMR) assessment. contains data 150 multi-equipments CMRI recordings...
Noise is inherent to low-dose CT acquisition. We propose train a convolutional neural network (CNN) jointly with an adversarial CNN estimate routine-dose images from and hence reduce noise. A generator was trained transform into using voxelwise loss minimization. An discriminator simultaneously distinguish the output of images. The performance this used as for generator. Experiments were performed anthropomorphic phantom containing calcium inserts, well patient non-contrast-enhanced cardiac...
Automatic segmentation in MR brain images is important for quantitative analysis large-scale studies with acquired at all ages. This paper presents a method the automatic of into number tissue classes using convolutional neural network. To ensure that obtains accurate details as well spatial consistency, network uses multiple patch sizes and convolution kernel to acquire multi-scale information about each voxel. The not dependent on explicit features, but learns recognise classification...
A novel atlas-based segmentation approach based on the combination of multiple registrations is presented. Multiple atlases are registered to a target image. To obtain target, labels atlas images propagated it. The combined by spatially varying decision fusion weights. These weights derived from local assessment registration success. Furthermore, an selection procedure proposed that equivalent sequential forward statistical pattern recognition theory. method compared three existing...
Background Although several deep learning (DL) calcium scoring methods have achieved excellent performance for specific CT protocols, their in a range of examination types is unknown. Purpose To evaluate the DL method automatic across wide and to investigate whether can adapt different examinations when representative images are added existing training data set. Materials Methods The study included 7240 participants who underwent various nonenhanced that heart: coronary artery (CAC) CT,...
Coronary Artery Calcium Can Predict All-Cause Mortality and Cardiovascular Events on Low-Dose CT Screening for Lung CancerPeter C. Jacobs1 2, Martijn J. A. Gondrie1, Yolanda van der Graaf1, Harry de Koning3, Ivana Isgum4, Bram Ginneken5 Willem P. T. M. Mali2Audio Available | Share
<h3>Background</h3> Emphysema and small airway disease both contribute to chronic obstructive pulmonary (COPD), a characterised by accelerated decline in lung function. The association between the extent of emphysema male current former smokers function was investigated. <h3>Methods</h3> Current heavy participating cancer screening trial were recruited study all underwent CT. Spirometry performed at baseline 3-year follow-up. 15th percentile (Perc15) used assess severity emphysema....
Heavy smokers undergoing screening with low-dose chest CT are affected by cardiovascular disease as much lung cancer. Low-dose scans acquired in enable quantification of atherosclerotic calcifications and thus identification subjects at increased risk. This paper presents a method for automatic detection coronary artery, thoracic aorta cardiac valve using two consecutive convolutional neural networks. The first network identifies labels potential according to their anatomical location the...
Various types of atherosclerotic plaque and varying grades stenosis could lead to different management patients with a coronary artery disease. Therefore, it is crucial detect classify the type plaque, as well determine degree stenosis. This paper includes retrospectively collected clinically obtained CT angiography (CCTA) scans 163 patients. In these, centerlines arteries were extracted used reconstruct multi-planar reformatted (MPR) images for arteries. To define reference standard,...
Epidemiological studies show that high circulating cystatin C is associated with risk of cardiovascular disease (CVD), independent creatinine-based renal function measurements. It unclear whether this relationship causal, arises from residual confounding, and/or a consequence reverse causation. The aim study was to use Mendelian randomization investigate causally related CVD in the general population. We incorporated participant data 16 prospective cohorts (n = 76,481) 37,126 measures and...