H
Habib Zaidi
Researcher at University Medical Center Groningen
Publications - 557
Citations - 15951
Habib Zaidi is an academic researcher from University Medical Center Groningen. The author has contributed to research in topics: Imaging phantom & Correction for attenuation. The author has an hindex of 62, co-authored 513 publications receiving 13563 citations. Previous affiliations of Habib Zaidi include Johns Hopkins University & University of Southern Denmark.
Papers
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Proceedings ArticleDOI
Comparison of synthetic CT generation algorithms for MRI-only radiation planning in the pelvic region
Hossein Arabi,Jason Dowling,Ninon Burgos,Xiao Han,Peter B. Greer,Nikolaos Koutsouvelis,Habib Zaidi +6 more
TL;DR: DL-CNN and advanced atlas-based approaches showed promising dosimetric and segmentation accuracy suggesting that these methods are able to resolve the challenge of synthetic-CT generation from MR images with clinically acceptable errors.
Journal ArticleDOI
Experimental evaluation and basis function optimization of the spatially variant image-space PSF on the Ingenuity PET/MR scanner.
Fotis A. Kotasidis,Habib Zaidi +1 more
TL;DR: It was found that optimizing the spatial resolution in the reconstructed PET images, while having a good basis function superposition and keeping the image representation error to a minimum, is feasible, with the parameter combination range depending upon the scanner's intrinsic resolution characteristics.
Journal ArticleDOI
Two-step machine learning to diagnose and predict involvement of lungs in COVID-19 and pneumonia using CT radiomics
Pegah Moradi Khaniabadi,Y. Bouchareb,Humoud Al Dhuhli,Isaac Shiri,Faiza Al Kindi,Bita Moradi Khaniabadi,Habib Zaidi,Arman Rahmim +7 more
TL;DR: In this paper , a two-step machine learning (ML) based model was developed to diagnose and predict involvement of lungs in COVID-19 and non COVID19 pneumonia patients using CT chest radiomic features.
Journal ArticleDOI
Synergistic impact of motion and acquisition/reconstruction parameters on 18F‐FDG PET radiomic features in non‐small cell lung cancer: Phantom and clinical studies
Seyyed Ali Hosseini,Isaac Shiri,Ghasem Hajianfar,B. Bahadorzadeh,Pardis Ghafarian,Habib Zaidi,Mohammad Reza Ay +6 more
TL;DR: Motion, acquisition, and reconstruction parameters significantly impact radiomic features, just as their synergies, and Radiomic features with high predictive performance (statistically significant) in differentiating histopathological subtype of NSCLC may be eliminated due to non‐reproducibility.
Journal ArticleDOI
Effect of emaciation and obesity on small-animal internal radiation dosimetry for positron-emitting radionuclides
TL;DR: The effect of obesity on internal radiation dose is insignificant in most conditions for common positron-emitting radionuclides, which might be a notable issue in laboratory animal internal dosimetry.