Habib Zaidi

TL;DR: In this article, a guideline curriculum related to Artificial Intelligence (AI) for the education and training of European Medical Physicists (MPs) is presented. But the learning outcomes of the training are presented as knowledge, skills and competences (KSC approach).

TL;DR: In this paper, the authors developed multi-modality radiomic models by integrating information extracted from 18F-FDG PET and CT images using feature- and image-level fusions, toward improved prognosis for non-small cell lung carcinoma (NSCLC) patients.

TL;DR: Assessment of the quantitative accuracy of the atlas-guided attenuation correction method for 3D brain positron emission tomography imaging using automated volume of interest (VOI)-based analysis by means of the commercially available BRASS software provides further confidence in the adequacy of the proposed approach demonstrating its performance particularly for research studies or diagnostic applications involving quantification.

TL;DR: A comprehensive review of preclinical PET scanners developed till early 2020 with particular emphasis on innovations in instrumentation and geometrical designs is provided.

TL;DR: This study introduces a new regularization scheme by iterative linearization of the non-convex clipped absolute deviation (SCAD) function in an augmented Lagrangian framework and demonstrates that the proposed regularization technique substantially outperforms conventional TV regularization, especially at reduced sampling rates.