Geneva University Neurocenter
Habib Zaidi

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.

Group website

Dernières publications

Differential privacy preserved federated learning for prognostic modeling in COVID-19 patients using large multi-institutional chest CT dataset.

Shiri I , Salimi Y , Sirjani N , Razeghi B , Bagherieh S , Pakbin M , Mansouri Z , Hajianfar G , Avval AH , Askari D , Ghasemian M , Sandoughdaran S , Sohrabi A , Sadati E , Livani S , Iranpour P , Kolahi S , Khosravi B , Bijari S , Sayfollahi S , Atashzar MR , Hasanian M , Shahhamzeh A , Teimouri A , Goharpey N , Shirzad-Aski H , Karimi J , Radmard AR , Rezaei-Kalantari K , Oghli MG , Oveisi M , Vafaei Sadr A , Voloshynovskiy S , Zaidi H
Medical physics - Feb 2024

The Image Biomarker Standardization Initiative: Standardized Convolutional Filters for Reproducible Radiomics and Enhanced Clinical Insights.

Whybra P , Zwanenburg A , Andrearczyk V , Schaer R , Apte AP , Ayotte A , Baheti B , Bakas S , Bettinelli A , Boellaard R , Boldrini L , Buvat I , Cook GJR , Dietsche F , Dinapoli N , Gabryś HS , Goh V , Guckenberger M , Hatt M , Hosseinzadeh M , Iyer A , Lenkowicz J , Loutfi MAL , Löck S , Marturano F , Morin O , Nioche C , Orlhac F , Pati S , Rahmim A , Rezaeijo SM , Rookyard CG , Salmanpour MR , Schindele A , Shiri I , Spezi E , Tanadini-Lang S , Tixier F , Upadhaya T , Valentini V , van Griethuysen JJM , Yousefirizi F , Zaidi H , Müller H , Vallières M , Depeursinge A
Radiology - Feb 2024
See the complete list of the publications

Contact

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