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Adrien Depeursinge

Showing results (51-60 of 80) with videos related to

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European Radiology Experimental|March 22, 2023
QuantImage v2: a comprehensive and integrated physician-centered cloud platform for radiomics and machine learning researchDaniel Abler, Roger Schaer, Valentin Oreiller, et al.
IEEE Transactions on Medical Imaging|July 19, 2016
A 3-D Riesz-Covariance Texture Model for Prediction of Nodule Recurrence in Lung CTPol Cirujeda, Yashin Dicente Cid, Henning Muller, et al.
Computers in Biology and Medicine|November 15, 2024
Structural-based uncertainty in deep learning across anatomical scales: Analysis in white matter lesion segmentationNataliia Molchanova, Vatsal Raina, Andrey Malinin, et al.
Investigative Radiology|May 26, 2021
The Discriminative Power and Stability of Radiomics Features With Computed Tomography Variations: Task-Based Analysis in an Anthropomorphic 3D-Printed CT PhantomOscar Jimenez-Del-Toro, Christoph Aberle, Michael Bach, et al.
Scientific Reports|March 19, 2022
Assessing radiomics feature stability with simulated CT acquisitionsKyriakos Flouris, Oscar Jimenez-Del-Toro, Christoph Aberle, et al.
Medical Physics|March 22, 2023
3D-printed iodine-ink CT phantom for radiomics feature extraction - advantages and challengesMichael Bach, Christoph Aberle, Adrien Depeursinge, et al.
EJNMMI Research|May 28, 2026
Fully automatic left ventricle segmentation in [Formula: see text]Rb PET/CT Using a semi-supervised nnU-netMohammadreza Amirian, Arthur Chevalley, María Martín Asiain, et al.
EJNMMI Reports|August 3, 2025
Function of <sup>18</sup>F-FDG PET/CT radiomics in the detection of checkpoint inhibitor-induced liver injury (CHILI)Clémence M C Huigen, Alexander Coukos, Sofiya Latifyan, et al.
European Journal of Nuclear Medicine and Molecular Imaging|April 25, 2025
Lung lesion detectability on images obtained from decimated and CNN-based denoised [<sup>18</sup>F]-FDG PET/CT scan: an observer-based study for lung-cancer screeningDaphné Faist, Silvano Gnesin, Siria Medici, et al.
Oncotarget|February 14, 2018
Signature of survival: a <sup>18</sup>F-FDG PET based whole-liver radiomic analysis predicts survival after <sup>90</sup>Y-TARE for hepatocellular carcinomaPaul Blanc-Durand, Axel Van Der Gucht, Mario Jreige, et al.
Pageof 8

Showing results (51-60 of 80) with videos related to

Sort By:
Pageof 8
European Radiology Experimental|March 22, 2023
QuantImage v2: a comprehensive and integrated physician-centered cloud platform for radiomics and machine learning researchDaniel Abler, Roger Schaer, Valentin Oreiller, et al.
IEEE Transactions on Medical Imaging|July 19, 2016
A 3-D Riesz-Covariance Texture Model for Prediction of Nodule Recurrence in Lung CTPol Cirujeda, Yashin Dicente Cid, Henning Muller, et al.
Computers in Biology and Medicine|November 15, 2024
Structural-based uncertainty in deep learning across anatomical scales: Analysis in white matter lesion segmentationNataliia Molchanova, Vatsal Raina, Andrey Malinin, et al.
Investigative Radiology|May 26, 2021
The Discriminative Power and Stability of Radiomics Features With Computed Tomography Variations: Task-Based Analysis in an Anthropomorphic 3D-Printed CT PhantomOscar Jimenez-Del-Toro, Christoph Aberle, Michael Bach, et al.
Scientific Reports|March 19, 2022
Assessing radiomics feature stability with simulated CT acquisitionsKyriakos Flouris, Oscar Jimenez-Del-Toro, Christoph Aberle, et al.
Medical Physics|March 22, 2023
3D-printed iodine-ink CT phantom for radiomics feature extraction - advantages and challengesMichael Bach, Christoph Aberle, Adrien Depeursinge, et al.
EJNMMI Research|May 28, 2026
Fully automatic left ventricle segmentation in [Formula: see text]Rb PET/CT Using a semi-supervised nnU-netMohammadreza Amirian, Arthur Chevalley, María Martín Asiain, et al.
EJNMMI Reports|August 3, 2025
Function of <sup>18</sup>F-FDG PET/CT radiomics in the detection of checkpoint inhibitor-induced liver injury (CHILI)Clémence M C Huigen, Alexander Coukos, Sofiya Latifyan, et al.
European Journal of Nuclear Medicine and Molecular Imaging|April 25, 2025
Lung lesion detectability on images obtained from decimated and CNN-based denoised [<sup>18</sup>F]-FDG PET/CT scan: an observer-based study for lung-cancer screeningDaphné Faist, Silvano Gnesin, Siria Medici, et al.
Oncotarget|February 14, 2018
Signature of survival: a <sup>18</sup>F-FDG PET based whole-liver radiomic analysis predicts survival after <sup>90</sup>Y-TARE for hepatocellular carcinomaPaul Blanc-Durand, Axel Van Der Gucht, Mario Jreige, et al.
Pageof 8