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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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Vincent Kisselbach

Vincent Herrmann

Vincent Fochtman

Vincent Kuhn

Vincent Saderne

Other publications of authors with the same name

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)Glaucoma Diagnosis from Eye Fundus Images Based on Deep Morphometric Feature Estimation.O. Perdomo, V. Andrearczyk, F. Mériaudeau, H. Müller, and F. González. COMPAY/OMIA@MICCAI, volume 11039 of Lecture Notes in Computer Science, page 319-327. Springer, (2018)Overview of the HECKTOR Challenge at MICCAI 2020: Automatic Head and Neck Tumor Segmentation in PET/CT.V. Andrearczyk, V. Oreiller, M. Jreige, M. Vallières, J. Castelli, H. Elhalawani, S. Boughdad, J. Prior, and A. Depeursinge. HECKTOR@MICCAI, volume 12603 of Lecture Notes in Computer Science, page 1-21. Springer, (2020)Interpreting Intentionally Flawed Models with Linear Probes.M. Graziani, H. Müller, and V. Andrearczyk. ICCV Workshops, page 743-747. IEEE, (2019)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). HECKTOR@MICCAI, volume 13209 of Lecture Notes in Computer Science, page 1-37. Springer, (2021)Interpretable CNN Pruning for Preserving Scale-Covariant Features in Medical Imaging.M. Graziani, T. Lompech, H. Müller, A. Depeursinge, and V. Andrearczyk. iMIMIC/MIL3ID/LABELS@MICCAI, volume 12446 of Lecture Notes in Computer Science, page 23-32. Springer, (2020)Disentangling Neuron Representations with Concept Vectors.L. O'Mahony, V. Andrearczyk, H. Müller, and M. Graziani. CVPR Workshops, page 3770-3775. IEEE, (2023)Convolutional neural network on three orthogonal planes for dynamic texture classification.V. Andrearczyk, and P. Whelan. Pattern Recognit., (2018)3D Solid Spherical Bispectrum CNNs for Biomedical Texture Analysis.V. Oreiller, V. Andrearczyk, J. Fageot, J. Prior, and A. Depeursinge. CoRR, (2020)MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision.J. Li, A. Pepe, C. Gsaxner, G. Luijten, Y. Jin, N. Ambigapathy, E. Nasca, N. Solak, G. Melito, A. Memon and 39 other author(s). CoRR, (2023)

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Disambiguation of "Andrearczyk, Vincent"

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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

Vincent Kisselbach

Vincent Herrmann

Vincent Fochtman

Vincent Kuhn

Vincent Saderne

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Andrearczyk, Vincent"

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

Vincent Kisselbach

Vincent Herrmann

Vincent Fochtman

Vincent Kuhn

Vincent Saderne

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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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.