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Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images.

V. Andrearczyk, V. Oreiller, S. Boughdad, C. Rest, H. Elhalawani, M. Jreige, J. Prior, M. Vallières, D. Visvikis, M. Hatt, and A. Depeursinge. HECKTOR@MICCAI, volume 13209 of Lecture Notes in Computer Science, page 1-37. Springer, (2021)

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John Mansford Prior

John O Egbulefu

Achim Prior

Josef Prior

Leo Prior

Other publications of authors with the same name

3D Solid Spherical Bispectrum CNNs for Biomedical Texture Analysis.V. Oreiller, V. Andrearczyk, J. Fageot, J. Prior, and A. Depeursinge. CoRR, (2020)Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images.V. Andrearczyk, V. Oreiller, S. Boughdad, C. Rest, H. Elhalawani, M. Jreige, J. Prior, M. Vallières, D. Visvikis, M. Hatt and 1 other author(s). CoRR, (2022)Fully Automatic Head and Neck Cancer Prognosis Prediction in PET/CT.P. Fontaine, V. Andrearczyk, V. Oreiller, J. Castelli, M. Jreige, J. Prior, and A. Depeursinge. ML-CDS@MICCAI, volume 13050 of Lecture Notes in Computer Science, page 59-68. Springer, (2021)18F- FDG PET/CT-derived parameters predict clinical stage and prognosis of esophageal cancer.S. Mantziari, A. Pomoni, J. Prior, M. Winiker, P. Allemann, N. Demartines, and M. Schäfer. BMC Medical Imaging, 20 (1): 7 (2020)Segmentation and Classification of Head and Neck Nodal Metastases and Primary Tumors in PET/CT.V. Andrearczyk, V. Oreiller, M. Jreige, J. Castelli, J. Prior, and A. Depeursinge. EMBC, page 4731-4735. IEEE, (2022)Robust Multi-Organ Nucleus Segmentation Using a Locally Rotation Invariant Bispectral U-Net.V. Oreiller, J. Fageot, V. Andrearczyk, J. Prior, and A. Depeursinge. MIDL, volume 172 of Proceedings of Machine Learning Research, page 929-943. PMLR, (2022)Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT.V. Andrearczyk, V. Oreiller, M. Abobakr, A. Akhavanallaf, P. Balermpas, S. Boughdad, L. Capriotti, J. Castelli, C. Rest, P. Decazes and 21 other author(s). HECKTOR@MICCAI, volume 13626 of Lecture Notes in Computer Science, page 1-30. Springer, (2022)Automatic Segmentation of Head and Neck Tumors and Nodal Metastases in PET-CT scans.V. Andrearczyk, V. Oreiller, M. Vallières, J. Castelli, H. Elhalawani, M. Jreige, S. Boughdad, J. Prior, and A. Depeursinge. MIDL, volume 121 of Proceedings of Machine Learning Research, page 33-43. PMLR, (2020)Head and neck tumor segmentation in PET/CT: The HECKTOR challenge.V. Oreiller, V. Andrearczyk, M. Jreige, S. Boughdad, H. Elhalawani, J. Castelli, M. Vallières, S. Zhu, J. Xie, Y. Peng and 17 other author(s). Medical Image Anal., (2022)Rethinking the Role of AI with Physicians in Oncology: Revealing Perspectives from Clinical and Research Workflows.H. Verma, J. Mlynár, R. Schaer, J. Reichenbach, M. Jreige, J. Prior, F. Evéquoz, and A. Depeursinge. CHI, page 17:1-17:19. ACM, (2023)

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Disambiguation of "Prior, John O."

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Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images.

Please choose a person to relate this publication to

John Mansford Prior

John O Egbulefu

Achim Prior

Josef Prior

Leo Prior

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Prior, John O."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images.

Please choose a person to relate this publication to

John Mansford Prior

John O Egbulefu

Achim Prior

Josef Prior

Leo Prior

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
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Chicago
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Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images.