Search Results - "Visvikis, Dimitris"

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.

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.

Artificial intelligence, machine (deep) learning and radio(geno)mics: definitions and nuclear medicine imaging applications.

Authors: Visvikis, Dimitris Cheze Le Rest, Catherine Jaouen, Vincent et al.

Source: European Journal of Nuclear Medicine & Molecular Imaging. Dec2019, Vol. 46 Issue 13, p2630-2637. 8p. 2 Diagrams.

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.

OncoPET_DB: A Freely Distributed Database of Realistic Simulated Whole Body 18F-FDG PET Images for Oncology.

Authors: Tomeï, Sandrine Reilhac, Anthonin Visvikis, Dimitris et al.

Source: IEEE Transactions on Nuclear Science; February 2010 pt1, Vol. 57 Issue 1, p246-255, 10p

Prediction of outcome using pretreatment ¹⁸F-FDG PET/CT and MRI radiomics in locally advanced cervical cancer treated with chemoradiotherapy.

Authors: Lucia, François Visvikis, Dimitris Desseroit, Marie-Charlotte et al.

Source: European Journal of Nuclear Medicine & Molecular Imaging. May2018, Vol. 45 Issue 5, p768-786. 19p.

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

Development of a nomogram combining clinical staging with F-FDG PET/CT image features in non-small-cell lung cancer stage I-III.

Authors: Desseroit, Marie-Charlotte Visvikis, Dimitris Tixier, Florent et al.

Source: European Journal of Nuclear Medicine & Molecular Imaging. Jul2016, Vol. 43 Issue 8, p1477-1485. 9p.

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)

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.

Baseline F-FDG PET image-derived parameters for therapy response prediction in oesophageal cancer.

Authors: Hatt, Mathieu Visvikis, Dimitris Pradier, Olivier et al.

Source: European Journal of Nuclear Medicine & Molecular Imaging. Sep2011, Vol. 38 Issue 9, p1595-1606. 12p. 2 Black and White Photographs, 4 Charts, 4 Graphs.

Prognostic value of F-FDG PET image-based parameters in oesophageal cancer and impact of tumour delineation methodology.

Authors: Hatt, Mathieu Visvikis, Dimitris Albarghach, Nidal M. et al.

Source: European Journal of Nuclear Medicine & Molecular Imaging. Jul2011, Vol. 38 Issue 7, p1191-1202. 12p. 1 Color Photograph, 1 Black and White Photograph, 5 Charts, 2 Graphs.

A novel partial volume effects correction technique integrating deconvolution associated with denoising within an iterative PET image reconstruction.

Authors: Merlin, Thibaut Visvikis, Dimitris Fernandez, Philippe et al.

Source: Medical Physics. Feb2015, Vol. 42 Issue 2, p804-819. 16p.

Subjects: Deconvolution of digital images, Image reconstruction, Iterative methods (Mathematics), Positron emission tomography, Signal denoising

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

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

DVH-Based Inverse Planning Using Monte Carlo Dosimetry for LDR Prostate Brachytherapy.

Authors: Mountris, Konstantinos A. Visvikis, Dimitris Bert, Julien

Source: International Journal of Radiation Oncology, Biology, Physics. Feb2019, Vol. 103 Issue 2, p503-510. 8p.

Subjects: Low dose rate brachytherapy, Radiation dosimetry, Urethra, Graphics processing units, Simulated annealing, Computer simulation, Evaluation research, Radiotherapy, Radiometry, Computer software, Research evaluation, Prostate tumors, Radioisotope brachytherapy, Quality control, System analysis, Prostate, Computers in medicine, Imaging phantoms, Research methodology, Research, Digital image processing, Radiation doses, Comparative studies, Algorithms

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.

In silico assessment of cellular damage from Lu‐177, Ac‐225, and Pb‐212 therapeutic radionuclides.

Authors: Chatzipapas, Konstantinos P. Papachristou, Konstantinos Visvikis, Dimitris et al.

Source: Medical Physics. Nov2025, Vol. 52 Issue 11, p1-13. 13p.

Subjects: DNA damage, Radioisotopes, Monte Carlo method, Cancer treatment, Beta rays, Radiopharmaceuticals

Prostate Volume Segmentation in TRUS Using Hybrid Edge-Bhattacharyya Active Surfaces.

Authors: Jaouen, Vincent Schick, Ulrike Pradier, Olivier et al.

Source: IEEE Transactions on Biomedical Engineering; Apr2019, Vol. 66 Issue 4, p920-933, 14p

Exploring transformer reliability in clinically significant prostate cancer segmentation: A comprehensive in-depth investigation.

Authors: Andrade-Miranda, Gustavo Vega, Pedro Soto Taguelmimt, Kamilia et al.

Source: Computerized Medical Imaging & Graphics; Dec2024, Vol. 118, pN.PAG-N.PAG, 1p