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Valentin Oreiller

Showing results (1-10 of 8) with videos related to

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Medical Image Analysis|July 6, 2020
Local rotation invariance in 3D CNNsVincent Andrearczyk, Julien Fageot, Valentin Oreiller, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Segmentation and Classification of Head and Neck Nodal Metastases and Primary Tumors in PET/CTVincent Andrearczyk, Valentin Oreiller, Mario Jreige, et al.
European Journal of Hybrid Imaging|October 30, 2022
Reproducibility of lung cancer radiomics features extracted from data-driven respiratory gating and free-breathing flow imaging in [<sup>18</sup>F]-FDG PET/CTDaphné Faist, Mario Jreige, Valentin Oreiller, et al.
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.
Clinical and Translational Radiation Oncology|March 4, 2022
Cleaning radiotherapy contours for radiomics studies, is it worth it? A head and neck cancer studyPierre Fontaine, Vincent Andrearczyk, Valentin Oreiller, et al.
Medical Image Analysis|September 24, 2023
Automatic Head and Neck Tumor segmentation and outcome prediction relying on FDG-PET/CT images: Findings from the second edition of the HECKTOR challengeVincent Andrearczyk, Valentin Oreiller, Sarah Boughdad, et al.
Medical Image Analysis|January 11, 2022
Head and neck tumor segmentation in PET/CT: The HECKTOR challengeValentin Oreiller, Vincent Andrearczyk, Mario Jreige, et al.
Head and Neck Tumor Segmentation and Outcome Prediction : Third Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Head and Neck Tumor Segmentation Challenge (3Rd : 2022 : Singapor|May 17, 2023
Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CTVincent Andrearczyk, Valentin Oreiller, Moamen Abobakr, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Medical Image Analysis|July 6, 2020
Local rotation invariance in 3D CNNsVincent Andrearczyk, Julien Fageot, Valentin Oreiller, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Segmentation and Classification of Head and Neck Nodal Metastases and Primary Tumors in PET/CTVincent Andrearczyk, Valentin Oreiller, Mario Jreige, et al.
European Journal of Hybrid Imaging|October 30, 2022
Reproducibility of lung cancer radiomics features extracted from data-driven respiratory gating and free-breathing flow imaging in [<sup>18</sup>F]-FDG PET/CTDaphné Faist, Mario Jreige, Valentin Oreiller, et al.
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.
Clinical and Translational Radiation Oncology|March 4, 2022
Cleaning radiotherapy contours for radiomics studies, is it worth it? A head and neck cancer studyPierre Fontaine, Vincent Andrearczyk, Valentin Oreiller, et al.
Medical Image Analysis|September 24, 2023
Automatic Head and Neck Tumor segmentation and outcome prediction relying on FDG-PET/CT images: Findings from the second edition of the HECKTOR challengeVincent Andrearczyk, Valentin Oreiller, Sarah Boughdad, et al.
Medical Image Analysis|January 11, 2022
Head and neck tumor segmentation in PET/CT: The HECKTOR challengeValentin Oreiller, Vincent Andrearczyk, Mario Jreige, et al.
Head and Neck Tumor Segmentation and Outcome Prediction : Third Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Head and Neck Tumor Segmentation Challenge (3Rd : 2022 : Singapor|May 17, 2023
Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CTVincent Andrearczyk, Valentin Oreiller, Moamen Abobakr, et al.
Pageof 1