Hasil Pencarian - Vincent Andrearczyk

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  1. 1
    Wide kernels and their DCT compression in convolutional networks for nuclei segmentation

    Wide kernels and their DCT compression in convolutional networks for nuclei segmentation oleh Vincent Andrearczyk, Valentin Oreiller, Adrien Depeursinge

    Diterbitkan 2023-01-01
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  2. 2
    On the Scale Invariance in State of the Art CNNs Trained on ImageNet

    On the Scale Invariance in State of the Art CNNs Trained on ImageNet oleh Mara Graziani, Thomas Lompech, Henning Müller, Adrien Depeursinge, Vincent Andrearczyk

    Diterbitkan 2021-04-01
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  3. 3
    Staining Invariant Features for Improving Generalization of Deep Convolutional Neural Networks in Computational Pathology

    Staining Invariant Features for Improving Generalization of Deep Convolutional Neural Networks in Computational Pathology oleh Sebastian Otálora, Sebastian Otálora, Manfredo Atzori, Vincent Andrearczyk, Amjad Khan, Amjad Khan, Henning Müller, Henning Müller

    Diterbitkan 2019-08-01
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  4. 4
    Cleaning radiotherapy contours for radiomics studies, is it worth it? A head and neck cancer study

    Cleaning radiotherapy contours for radiomics studies, is it worth it? A head and neck cancer study oleh Pierre Fontaine, Vincent Andrearczyk, Valentin Oreiller, Daniel Abler, Joel Castelli, Oscar Acosta, Renaud De Crevoisier, Martin Vallières, Mario Jreige, John O. Prior, Adrien Depeursinge

    Diterbitkan 2022-03-01
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  5. 5
    Comparing various AI approaches to traditional quantitative assessment of the myocardial perfusion in [82Rb] PET for MACE prediction

    Comparing various AI approaches to traditional quantitative assessment of the myocardial perfusion in [82Rb] PET for MACE prediction oleh Sacha Bors, Daniel Abler, Matthieu Dietz, Vincent Andrearczyk, Julien Fageot, Marie Nicod-Lalonde, Niklaus Schaefer, Robert DeKemp, Christel H. Kamani, John O. Prior, Adrien Depeursinge

    Diterbitkan 2024-04-01
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