Search research articles
Contact Us
Filters
Showing results (101-110 of 115) with videos related to
Page
of 12
Sort By:
Scientific Reports
|
April 19, 2024
Identification of CT radiomic features robust to acquisition and segmentation variations for improved prediction of radiotherapy-treated lung cancer patient recurrence
Thomas Louis, François Lucia, François Cousin, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
November 17, 2019
Pretreatment <sup>18</sup>F-FDG PET/CT Radiomics Predict Local Recurrence in Patients Treated with Stereotactic Body Radiotherapy for Early-Stage Non-Small Cell Lung Cancer: A Multicentric Study
Gurvan Dissaux, Dimitris Visvikis, Ronrick Da-Ano, et al.
European Journal of Nuclear Medicine and Molecular Imaging
|
March 27, 2021
Convolutional neural networks for PET functional volume fully automatic segmentation: development and validation in a multi-center setting
Andrei Iantsen, Marta Ferreira, Francois Lucia, et al.
European Journal of Nuclear Medicine and Molecular Imaging
|
November 21, 2023
Multicentric development and evaluation of [<sup>18</sup>F]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
François Lucia, Thomas Louis, François Cousin, et al.
Medical Image Analysis
|
December 22, 2017
The first MICCAI challenge on PET tumor segmentation
Mathieu Hatt, Baptiste Laurent, Anouar Ouahabi, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
December 15, 2022
Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem
Babak Saboury, Tyler Bradshaw, Ronald Boellaard, et al.
European Journal of Nuclear Medicine and Molecular Imaging
|
March 9, 2023
Multicentric development and evaluation of <sup>18</sup>F-FDG PET/CT and MRI radiomics models to predict para-aortic lymph node involvement in locally advanced cervical cancer
François Lucia, Vincent Bourbonne, Clémence Pleyers, et al.
Medical Physics
|
May 6, 2017
Toward a standard for the evaluation of PET-Auto-Segmentation methods following the recommendations of AAPM task group No. 211: Requirements and implementation
Beatrice Berthon, Emiliano Spezi, Paulina Galavis, et al.
Medical Physics
|
January 26, 2017
Classification and evaluation strategies of auto-segmentation approaches for PET: Report of AAPM task group No. 211
Mathieu Hatt, John A Lee, Charles R Schmidtlein, et al.
Medical Image Analysis
|
January 11, 2022
Head and neck tumor segmentation in PET/CT: The HECKTOR challenge
Valentin Oreiller, Vincent Andrearczyk, Mario Jreige, et al.
Page
of 12
Search research articles
Search
Showing results (101-110 of 115) with videos related to
Sort By:
Page
of 12
Scientific Reports
|
April 19, 2024
Identification of CT radiomic features robust to acquisition and segmentation variations for improved prediction of radiotherapy-treated lung cancer patient recurrence
Thomas Louis, François Lucia, François Cousin, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
November 17, 2019
Pretreatment <sup>18</sup>F-FDG PET/CT Radiomics Predict Local Recurrence in Patients Treated with Stereotactic Body Radiotherapy for Early-Stage Non-Small Cell Lung Cancer: A Multicentric Study
Gurvan Dissaux, Dimitris Visvikis, Ronrick Da-Ano, et al.
European Journal of Nuclear Medicine and Molecular Imaging
|
March 27, 2021
Convolutional neural networks for PET functional volume fully automatic segmentation: development and validation in a multi-center setting
Andrei Iantsen, Marta Ferreira, Francois Lucia, et al.
European Journal of Nuclear Medicine and Molecular Imaging
|
November 21, 2023
Multicentric development and evaluation of [<sup>18</sup>F]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
François Lucia, Thomas Louis, François Cousin, et al.
Medical Image Analysis
|
December 22, 2017
The first MICCAI challenge on PET tumor segmentation
Mathieu Hatt, Baptiste Laurent, Anouar Ouahabi, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
December 15, 2022
Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem
Babak Saboury, Tyler Bradshaw, Ronald Boellaard, et al.
European Journal of Nuclear Medicine and Molecular Imaging
|
March 9, 2023
Multicentric development and evaluation of <sup>18</sup>F-FDG PET/CT and MRI radiomics models to predict para-aortic lymph node involvement in locally advanced cervical cancer
François Lucia, Vincent Bourbonne, Clémence Pleyers, et al.
Medical Physics
|
May 6, 2017
Toward a standard for the evaluation of PET-Auto-Segmentation methods following the recommendations of AAPM task group No. 211: Requirements and implementation
Beatrice Berthon, Emiliano Spezi, Paulina Galavis, et al.
Medical Physics
|
January 26, 2017
Classification and evaluation strategies of auto-segmentation approaches for PET: Report of AAPM task group No. 211
Mathieu Hatt, John A Lee, Charles R Schmidtlein, et al.
Medical Image Analysis
|
January 11, 2022
Head and neck tumor segmentation in PET/CT: The HECKTOR challenge
Valentin Oreiller, Vincent Andrearczyk, Mario Jreige, et al.
Page
of 12