Habib Zaidi
Nom du groupe: PET Instrumentation and Neurosciences Laboratory (PinLab)
Affiliations: Faculty of Medicine, Geneva University Hospitals, Department of Radiology and Medical Informatics
Domaines: Development and Plasticity
Mot clés: brain imaging, brain networks, technique development
Activités de recherche
Our objective is to develop image reconstruction techniques, modeling/simulation tools and accurate attenuation and scatter correction techniques for Positron Emission Tomography (PET) and Single-Photon Emission Computed Tomography (SPECT), as well as the assessment of new possible designs of PET detection modules using sophisticated Monte Carlo techniques. We are particularly interested in improving the quality and quantitative accuracy of nuclear medicine images, and statistical analysis of different reconstruction algorithms and attenuation and scatter correction techniques. We are particularly interested in developing brain imaging protocols using nuclear medicine technology to study brain function and to apply multivariate statistics to brain images to study the neurofunctional networks underlying cognitive performance. More recently, the lab has been involved in the development of detector modules and novel designs for dedicated high-resolution PET cameras in collaboration with CERN and other research institutions.
Dernières publications
Deep learning-based segmentation of ultra-low-dose CT images using an optimized nnU-Net model.
CT-free attenuation and Monte-Carlo based scatter correction-guided quantitative Y-SPECT imaging for improved dose calculation using deep learning.
Robust vs. Non-robust radiomic features: the quest for optimal machine learning models using phantom and clinical studies.
Potential of Radiomics, Dosiomics, and Dose Volume Histograms for Tumor Response Prediction in Hepatocellular Carcinoma following Y-SIRT.
Contact
Département de radiologie et informatique médicale
HUG
Email: Habib.Zaidi@hcuge.ch