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Dimitris Visvikis

Showing results (131-140 of 192) with videos related to

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Cancers|November 27, 2021
Development of a Radiomic-Based Model Predicting Lymph Node Involvement in Prostate Cancer PatientsVincent Bourbonne, Vincent Jaouen, Truong An Nguyen, et al.
Bulletin Du Cancer|October 25, 2023
["New Modalities in Cancer Imaging and Therapy" XVth edition of the workshop organized by the network "Tumor Targeting, Imaging, Radiotherapies" of the Cancéropôle Grand-Ouest, 5-8 October 2022, France]Françoise Léost, Jacques Barbet, Maryline Beyler, et al.
Physics in Medicine and Biology|March 23, 2023
Design of a generic method for single dual-tracer PET imaging acquisition in clinical routineNasrin Taheri, Benjamin Le Crom, Caroline Bouillot, et al.
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|March 25, 2021
Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonizationPanagiotis Papadimitroulas, Lennart Brocki, Neo Christopher Chung, et al.
Seminars in Nuclear Medicine|January 29, 2021
Radiomics in PET/CT: Current Status and Future AI-Based EvolutionsMathieu Hatt, Catherine Cheze Le Rest, Nils Antonorsi, et al.
Journal of Applied Clinical Medical Physics|September 11, 2014
FDG PET/CT for rectal carcinoma radiotherapy treatment planning: comparison of functional volume delineation algorithms and clinical challengesNadia Withofs, Claire Bernard, Catherine Van der Rest, et al.
Medical Physics|October 8, 2011
Evaluation of a 3D local multiresolution algorithm for the correction of partial volume effects in positron emission tomographyAdrien Le Pogam, Mathieu Hatt, Patrice Descourt, et al.
Scientific Reports|March 30, 2020
Transcriptomics in cancer revealed by Positron Emission Tomography radiomicsFlorent Tixier, Catherine Cheze-le-Rest, Ulrike Schick, et al.
Medical Physics|August 25, 2017
A framework based on hidden Markov trees for multimodal PET/CT image co-segmentationHouda Hanzouli-Ben Salah, Jerome Lapuyade-Lahorgue, Julien Bert, et al.
The British Journal of Radiology|May 6, 2016
(18)F-FDG PET/CT imaging in rectal cancer: relationship with the RAS mutational statusPierre Lovinfosse, Benjamin Koopmansch, Frederic Lambert, et al.
Pageof 20

Showing results (131-140 of 192) with videos related to

Sort By:
Pageof 20
Cancers|November 27, 2021
Development of a Radiomic-Based Model Predicting Lymph Node Involvement in Prostate Cancer PatientsVincent Bourbonne, Vincent Jaouen, Truong An Nguyen, et al.
Bulletin Du Cancer|October 25, 2023
["New Modalities in Cancer Imaging and Therapy" XVth edition of the workshop organized by the network "Tumor Targeting, Imaging, Radiotherapies" of the Cancéropôle Grand-Ouest, 5-8 October 2022, France]Françoise Léost, Jacques Barbet, Maryline Beyler, et al.
Physics in Medicine and Biology|March 23, 2023
Design of a generic method for single dual-tracer PET imaging acquisition in clinical routineNasrin Taheri, Benjamin Le Crom, Caroline Bouillot, et al.
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|March 25, 2021
Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonizationPanagiotis Papadimitroulas, Lennart Brocki, Neo Christopher Chung, et al.
Seminars in Nuclear Medicine|January 29, 2021
Radiomics in PET/CT: Current Status and Future AI-Based EvolutionsMathieu Hatt, Catherine Cheze Le Rest, Nils Antonorsi, et al.
Journal of Applied Clinical Medical Physics|September 11, 2014
FDG PET/CT for rectal carcinoma radiotherapy treatment planning: comparison of functional volume delineation algorithms and clinical challengesNadia Withofs, Claire Bernard, Catherine Van der Rest, et al.
Medical Physics|October 8, 2011
Evaluation of a 3D local multiresolution algorithm for the correction of partial volume effects in positron emission tomographyAdrien Le Pogam, Mathieu Hatt, Patrice Descourt, et al.
Scientific Reports|March 30, 2020
Transcriptomics in cancer revealed by Positron Emission Tomography radiomicsFlorent Tixier, Catherine Cheze-le-Rest, Ulrike Schick, et al.
Medical Physics|August 25, 2017
A framework based on hidden Markov trees for multimodal PET/CT image co-segmentationHouda Hanzouli-Ben Salah, Jerome Lapuyade-Lahorgue, Julien Bert, et al.
The British Journal of Radiology|May 6, 2016
(18)F-FDG PET/CT imaging in rectal cancer: relationship with the RAS mutational statusPierre Lovinfosse, Benjamin Koopmansch, Frederic Lambert, et al.
Pageof 20