Habib Zaidi

Group name: PET Instrumentation and Neurosciences Laboratory (PinLab)

Affiliations: Faculty of Medicine, Geneva University Hospitals, Department of Radiology and Medical Informatics

Keywords: brain imaging, brain networks, technique development

Research activities

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.

Group website

Latest publications

Hydrogen nanobubbles: A novel approach toward radio-sensitization agents.

Hashemi S , Aghamiri SM , Siavashpour Z , Kahani M , Zaidi H , Jaberi R

Medical physics - Jun 2023

Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT.

Andrearczyk V , Oreiller V , Abobakr M , Akhavanallaf A , Balermpas P , Boughdad S , Capriotti L , Castelli J , Le Rest CC , Decazes P , Correia R , El-Habashy D , Elhalawani H , Fuller CD , Jreige M , Khamis Y , La Greca A , Mohamed A , Naser M , Prior JO , Ruan S , Tanadini-Lang S , Tankyevych O , Salimi Y , Vallières M , Vera P , Visvikis D , Wahid K , Zaidi H , Hatt M , Depeursinge A

Head and neck tumor segmentation and outcome prediction : third challenge, HECKTOR 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Head and Neck Tumor Segmentation Challenge (3rd : 2022 : Singapor... - 2023

The predictive value of pretherapy [Ga]Ga-DOTA-TATE PET and biomarkers in [Lu]Lu-PRRT tumor dosimetry.

Akhavanallaf A , Peterson AB , Fitzpatrick K , Roseland M , Wong KK , El-Naqa I , Zaidi H , Dewaraja YK

European journal of nuclear medicine and molecular imaging - May 2023

Post-revascularization Ejection Fraction Prediction for Patients Undergoing Percutaneous Coronary Intervention Based on Myocardial Perfusion SPECT Imaging Radiomics: a Preliminary Machine Learning Study.

Mohebi M , Amini M , Alemzadeh-Ansari MJ , Alizadehasl A , Rajabi AB , Shiri I , Zaidi H , Orooji M

Journal of digital imaging - Apr 2023

See the complete list of the publications

Contact

Département de radiologie et informatique médicale
HUG
Email: Habib.Zaidi@hcuge.ch