12 citations · 17 across the 4 of their papers we have counts for
4 papers
Deep Learning for Reaction-Diffusion Glioma Growth Modelling: Towards a Fully Personalised Model?
Corentin Martens, Antonin Rovai, Daniele Bonatto +5
Reaction-diffusion models have been proposed for decades to capture the growth of gliomas, the most common primary brain tumours. However, severe limitations regarding the estimati…
Initial condition assessment for reaction-diffusion glioma growth models: A translational MRI/histology (in)validation study
Corentin Martens, Laetitia Lebrun, Christine Decaestecker +8
Diffuse gliomas are highly infiltrative tumors whose early diagnosis and follow-up usually rely on magnetic resonance imaging (MRI). However, the limited sensitivity of this techni…
Voxelwise principal component analysis of dynamic [S-methyl-11C]methionine PET data in glioma patients
Corentin Martens, Olivier Debeir, Christine Decaestecker +6
Recent works have demonstrated the added value of dynamic amino acid positron emission tomography (PET) for glioma grading and genotyping, biopsy targeting, and recurrence diagnosi…
Characterization of Posidonia Oceanica Seagrass Aerenchyma through Whole Slide Imaging: A Pilot Study
Olivier Debeir, Justine Allard, Christine Decaestecker +1
Characterizing the tissue morphology and anatomy of seagrasses is essential to predicting their acoustic behavior. In this pilot study, we use histology techniques and whole slide…