Habib Zaidi

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

Group name: PET Instrumentation and Neurosciences Laboratory (PinLab)

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

[F]FDG-PET/CT radiomics and artificial intelligence in lung cancer: Technical aspects and potential clinical applications.

Manafi-Farid R , Askari E , Shiri I , Pirich C , Asadi M , Khateri M , Zaidi H , Beheshti M

Seminars in nuclear medicine - Jun 2022

Direct inference of Patlak parametric images in whole-body PET/CT imaging using convolutional neural networks.

Zaker N , Haddad K , Faghihi R , Arabi H , Zaidi H

European journal of nuclear medicine and molecular imaging - Jun 2022

Decentralized Distributed Multi-institutional PET Image Segmentation Using a Federated Deep Learning Framework.

Shiri I , Vafaei Sadr A , Amini M , Salimi Y , Sanaat A , Akhavanallaf A , Razeghi B , Ferdowsi S , Saberi A , Arabi H , Becker M , Voloshynovskiy S , Gündüz D , Rahmim A , Zaidi H

Clinical nuclear medicine - Jul 2022

COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14,339 patients.

Shiri I , Salimi Y , Pakbin M , Hajianfar G , Avval AH , Sanaat A , Mostafaei S , Akhavanallaf A , Saberi A , Mansouri Z , Askari D , Ghasemian M , Sharifipour E , Sandoughdaran S , Sohrabi A , Sadati E , Livani S , Iranpour P , Kolahi S , Khateri M , Bijari S , Atashzar MR , Shayesteh SP , Khosravi B , Babaei MR , Jenabi E , Hasanian M , Shahhamzeh A , Foroghi Ghomi SY , Mozafari A , Teimouri A , Movaseghi F , Ahmari A , Goharpey N , Bozorgmehr R , Shirzad-Aski H , Mortazavi R , Karimi J , Mortazavi N , Besharat S , Afsharpad M , Abdollahi H , Geramifar P , Radmard AR , Arabi H , Rezaei-Kalantari K , Oveisi M , Rahmim A , Zaidi H

Computers in biology and medicine - 06 2022

See the complete list of the publications

Contact

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