Search Results - "Visvikis, Dimitris"

Guidelines and recommendations for radiographer education from the EU-REST project.

Authors: McNulty, Jonathan P. Zarb, Francis Brady, Adrian P. et al.

Source: Insights into Imaging. 11/3/2025, Vol. 16 Issue 1, p1-7. 7p.

A project to define standards for radiology staffing, education and training across the European Union.

Authors: Brady, Adrian P. Brkljačić, Boris McNulty, Jonathan et al.

Source: Insights into Imaging. 3/12/2025, Vol. 16 Issue 1, p1-5. 5p.

Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation.

Authors: Visvikis, Dimitris Lambin, Philippe Beuschau Mauridsen, Kim et al.

Source: European Journal of Nuclear Medicine & Molecular Imaging. Nov2022, Vol. 49 Issue 13, p4452-4463. 12p.

Correction to: [¹⁸F]FDG PET radiomics to predict disease-free survival in cervical cancer: a multi-scanner/center study with external validation.

Authors: Ferreira, Marta Lovinfosse, Pierre Hermesse, Johanne et al.

Source: European Journal of Nuclear Medicine & Molecular Imaging. Oct2021, Vol. 48 Issue 11, p3745-3746. 2p.

Evaluation of deep learning-based scatter correction on a long-axial field-of-view PET scanner.

Authors: Laurent, Baptiste Bousse, Alexandre Merlin, Thibaut et al.

Source: European Journal of Nuclear Medicine & Molecular Imaging. Jun2025, Vol. 52 Issue 7, p2563-2576. 14p.

Correction to: Joint EANM/SNMMI/ESTRO practice recommendations for the use of 2-[¹⁸F]FDG PET/CT external beam radiation treatment planning in lung cancer V1.0.

Authors: Vaz, Sofia C. Adam, Judit A. Delgado Bolton, Roberto C. et al.

Source: European Journal of Nuclear Medicine & Molecular Imaging. 2022, Vol. 49 Issue 9, p3300-3301. 2p.

SPEQTACLE: An automated generalized fuzzy C-means algorithm for tumor delineation in PET.

Authors: Lapuyade‐Lahorgue, Jérôme Visvikis, Dimitris Pradier, Olivier et al.

Source: Medical Physics. Oct2015, Vol. 42 Issue 10, p5720-5734. 15p.

Subjects: Fuzzy algorithms, Positron emission tomography, Cancer tomography, Estimation theory, Bayesian analysis, Parameters (Statistics)

Identification of CT radiomic features robust to acquisition and segmentation variations for improved prediction of radiotherapy-treated lung cancer patient recurrence.

Authors: Louis, Thomas Lucia, François Cousin, François et al.

Source: Scientific Reports. 4/19/2024, Vol. 14 Issue 1, p1-14. 14p.

Multicentric development and evaluation of [¹⁸F]FDG PET/CT and CT radiomic models to predict regional and/or distant recurrence in early-stage non-small cell lung cancer treated by stereotactic body radiation therapy.

Authors: Lucia, François Louis, Thomas Cousin, François et al.

Source: European Journal of Nuclear Medicine & Molecular Imaging. Mar2024, Vol. 51 Issue 4, p1097-1108. 12p.

Predicting the Tumour Response to Radiation by Modelling the Five Rs of Radiotherapy Using PET Images.

Authors: Hami, Rihab Apeke, Sena Redou, Pascal et al.

Source: Journal of Imaging; Jun2023, Vol. 9 Issue 6, p124, 23p

VMAT-Based Planning Allows Sparing of a Spatial Dose Pattern Associated with Radiation Pneumonitis in Patients Treated with Radiotherapy for a Locally Advanced Lung Cancer.

Authors: Bourbonne, Vincent Lucia, Francois Jaouen, Vincent et al.

Source: Cancers. Aug2022, Vol. 14 Issue 15, p3702-3702. 12p.

Multicentric development and evaluation of ¹⁸F-FDG PET/CT and MRI radiomics models to predict para-aortic lymph node involvement in locally advanced cervical cancer.

Authors: Lucia, François Bourbonne, Vincent Pleyers, Clémence et al.

Source: European Journal of Nuclear Medicine & Molecular Imaging. Jul2023, Vol. 50 Issue 8, p2514-2528. 15p. 6 Diagrams, 5 Charts, 1 Graph.

The age of reason for FDG PET image-derived indices.

Authors: Visvikis, Dimitris Hatt, Mathieu Tixier, Florent et al.

Source: European Journal of Nuclear Medicine & Molecular Imaging. Nov2012, Vol. 39 Issue 11, p1670-1672. 3p.

Recommendations on the Clinical Application and Future Potential of α-Particle Therapy: A Comprehensive Review of the Results from the SECURE Project.

Authors: Di Iorio, Valentina Sarnelli, Anna Boschi, Stefano et al.

Source: Pharmaceuticals (14248247). Oct2025, Vol. 18 Issue 10, p1578. 42p.

PET/MR attenuation correction: where have we come from and where are we going?

Authors: Visvikis, Dimitris Monnier, Florian Bert, Julien et al.

Source: European Journal of Nuclear Medicine & Molecular Imaging. Jun2014, Vol. 41 Issue 6, p1172-1175. 4p.

Molecular imaging in the era of precision medicine: paraganglioma as a template for understanding multiple levels of analysis.

Authors: Taïeb, David Visvikis, Dimitris Hicks, Rodney J. et al.

Source: Journal of Nuclear Medicine. Dec2020, Vol. 61 Issue 12, p1-9. 9p.

Design and Kinematics of a Comanipulated Robot Dedicated to Prostate Brachytherapy.

Authors: Djohossou, Mozert Ben Halima, Aziza Valérie, Antoine et al.

Source: Robotica; Mar2021, Vol. 39 Issue 3, p468-482, 15p

The added value of PSMA PET/MR radiomics for prostate cancer staging.

Authors: Solari, Esteban Lucas Gafita, Andrei Schachoff, Sylvia et al.

Source: European Journal of Nuclear Medicine & Molecular Imaging. Jan2022, Vol. 49 Issue 2, p527-538. 12p. 1 Color Photograph, 2 Diagrams, 5 Charts, 1 Graph.

Trustworthy AI for stage IV non-small cell lung cancer: Automatic segmentation and uncertainty quantification.

Authors: Dedeken, Sacha Conze, Pierre-Henri Damerjian Pieters, Vera et al.

Source: Computerized Medical Imaging & Graphics; Jul2025, Vol. 123, pN.PAG-N.PAG, 1p

Pre‐treatment ¹⁸F-FDG PET/CT radiomics predict local recurrence in patients treated with stereotactic radiotherapy for early‐stage non small cell lung cancer: a multicentric study.

Authors: Dissaux, Gurvan Visvikis, Dimitris Da‐ano, Ronrick et al.

Source: Journal of Nuclear Medicine. Dec2019, Vol. 60 Issue 12, p1-21. 22p.