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
Differential privacy preserved federated learning for prognostic modeling in COVID-19 patients using large multi-institutional chest CT dataset.
TMTV-Net: fully automated total metabolic tumor volume segmentation in lymphoma PET/CT images - a multi-center generalizability analysis.
The Image Biomarker Standardization Initiative: Standardized Convolutional Filters for Reproducible Radiomics and Enhanced Clinical Insights.
Enhanced direct joint attenuation and scatter correction of whole-body PET images via context-aware deep networks.
Contact
Département de radiologie et informatique médicale
HUG
Email: Habib.Zaidi@hcuge.ch