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Unpaired PET/CT image synthesis of liver region using CycleGAN
Gianmarco Santini
,
Constance Fourcade
,
Noémie Moreau
,
Caroline Rousseau
,
Ludovic Ferrer
,
et al.
16th International Symposium on Medical Information Processing and Analysis, Oct 2020, Lima, Peru. pp.6, ⟨10.1117/12.2576095⟩
Communication dans un congrès
inserm-03500317v1
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Comparison between threshold-based and deep learning-based bone segmentation on whole-body CT images
Noémie Moreau
,
Caroline Rousseau
,
Constance Fourcade
,
Gianmarco Santini
,
Ludovic Ferrer
,
et al.
Communication dans un congrès
inserm-03540472v1
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Segmentation automatique des métastases hépatiques en imagerie TEP/TDM basée sur l’apprentissage profond dans le cadre du cancer du sein métastatique
Gianmarco Santini
,
Constance Fourcade
,
Caroline Rousseau
,
Ludovic Ferrer
,
Mario Campone
,
et al.
Journées Francophones de Médecine Nucléaire, Mar 2020, Paris, France
Communication dans un congrès
hal-02591337v1
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Active Organs Segmentation in Metastatic Breast Cancer Images combining Superpixels and Deep Learning Methods
Constance Fourcade
,
Gianmarco Santini
,
Ludovic Ferrer
,
Caroline Rousseau
,
Mathilde Colombié
,
et al.
NTHS - Nuclear Technology for Health Symposium, Feb 2020, Nantes, France
Communication dans un congrès
hal-02565107v1
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Combining Superpixels and Deep Learning Approaches to Segment Active Organs in Metastatic Breast Cancer PET Images *
Constance Fourcade
,
Ludovic Ferrer
,
Gianmarco Santini
,
Noémie Moreau
,
Caroline Rousseau
,
et al.
EMBC - Engineering in Medecine and Biology Conference, Jul 2020, Montréal, Canada
Communication dans un congrès
hal-02565092v1
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Deep learning approaches for bone and bone lesion segmentation on 18 FDG PET/CT imaging in the context of metastatic breast cancer*
Noémie Moreau
,
Caroline Rousseau
,
Constance Fourcade
,
Gianmarco Santini
,
Ludovic Ferrer
,
et al.
Communication dans un congrès
hal-02591573v1
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