Publications
Image mean square displacement to study the lateral mobility of Angiotensin II type 1 and Endothelin 1 type A receptors on living cells Vrije Universiteit Brussel
The lateral mobility of membrane receptors provides insights into the molecular interactions of protein binding and the complex dynamic plasma membrane. The image mean square displacement (iMSD) analysis is a method used to extract qualitative and quantitative information of the protein diffusion law and infers how diffusion dynamic processes may change when the cellular environment is modified. The aim of the study was to describe the ...
Computer-aided diagnosis and decision support using medical image analysis Vrije Universiteit Brussel
treatment options have rendered it increasingly complex to determine the
appropriate therapy for a specific patient. Precision medicine is a promising
and emerging approach to tailor disease prevention and treatment by taking
into account individual patient characteristics. Medical imaging constitutes
a rich and valuable source of patient ...
Bridging the Image and Text Spaces with Neural Network Methods for Multimodal Representation Learning and Spatial Understanding KU Leuven
Adaptive boundary conditions for physically based follow-up breast MR image registration KU Leuven
Towards automatic computer-aided knee surgery by innovative methods for processing the femur surface model KU Leuven
PEDIA Vrije Universiteit Brussel KU Leuven
PURPOSE: Phenotype information is crucial for the interpretation of genomic variants. So far it has only been accessible for bioinformatics workflows after encoding into clinical terms by expert dysmorphologists.
METHODS: Here, we introduce an approach driven by artificial intelligence that uses portrait photographs for the interpretation of clinical exome data. We measured the value added by computer-assisted image analysis to the ...
Evaluation of MLACF based calculated attenuation brain PET imaging for FDG patient studies Vrije Universiteit Brussel
Calculating attenuation correction for brain PET imaging rather than using CT presents opportunities for low radiation dose applications such as pediatric imaging and serial scans to monitor disease progression. Our goal is to evaluate the iterative time-of-flight based maximum-likelihood activity and attenuation correction factors estimation (MLACF) method for clinical FDG brain PET imaging. FDG PET/CT brain studies were performed in 57 ...
sMLACF: a generalized expectation-maximization algorithm for TOF-PET to reconstruct the activity and attenuation simultaneously Vrije Universiteit Brussel
The 'simultaneous Maximum-Likelihood Attenuation Correction Factors' (sMLACF) algorithm presented here, is an iterative algorithm to calculate the maximum-likelihood (ML) estimate of the activity 'λ' and the attenuation factors 'a' in time-of-flight (TOF) positron emission tomography (PET), and this from emission data only. Hence sMLACF is an alternative to the MLACF algorithm. sMLACF is derived using the generalized expectation-maximization ...
Variability and reliability of effective connectivity within the core default mode network Vrije Universiteit Brussel Ghent University
Dynamic causal modelling (DCM) for resting state fMRI - namely spectral DCM - is a recently developed and widely adopted method for inferring effective connectivity in intrinsic brain networks. Most applications of spectral DCM have focused on group-averaged connectivity within large-scale intrinsic brain networks; however, the consistency of subject- and session-specific estimates of effective connectivity has not been evaluated. ...