Hasil Pencarian - Benoit Presles

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  1. 1
    Validation of a discovery MI 4-ring model according to the NEMA NU 2-2018 standards: from Monte Carlo simulations to clinical-like reconstructions

    Validation of a discovery MI 4-ring model according to the NEMA NU 2-2018 standards: from Monte Carlo simulations to clinical-like reconstructions oleh Antoine Merlet, Benoît Presles, Kuan-Hao Su, Julien Salvadori, Farzam Sayah, Hanieh Jozi, Alexandre Cochet, Jean-Marc Vrigneaud

    Diterbitkan 2024-01-01
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  2. 2
    Respective contribution of baseline clinical data, tumour metabolism and tumour blood-flow in predicting pCR after neoadjuvant chemotherapy in HER2 and Triple Negative breast cancer

    Respective contribution of baseline clinical data, tumour metabolism and tumour blood-flow in predicting pCR after neoadjuvant chemotherapy in HER2 and Triple Negative breast cance... oleh Neree Payan, Benoit Presles, Charles Coutant, Isabelle Desmoulins, Sylvain Ladoire, Françoise Beltjens, François Brunotte, Jean-Marc Vrigneaud, Alexandre Cochet

    Diterbitkan 2024-07-01
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  3. 3
    FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-Scale Features and Factorized Channel Attention

    FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-Scale Features and Factorized Channel Attention oleh Vivek Kumar Singh, Mohamed Abdel-Nasser, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Alain Lalande, Benoit Presles, Santiago Romani, Domenec Puig

    Diterbitkan 2019-01-01
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  4. 4
    Navigating the nuances: comparative analysis and hyperparameter optimisation of neural architectures on contrast-enhanced MRI for liver and liver tumour segmentation

    Navigating the nuances: comparative analysis and hyperparameter optimisation of neural architectures on contrast-enhanced MRI for liver and liver tumour segmentation oleh Felix Quinton, Benoit Presles, Sarah Leclerc, Guillaume Nodari, Olivier Lopez, Olivier Chevallier, Julie Pellegrinelli, Jean-Marc Vrigneaud, Romain Popoff, Fabrice Meriaudeau, Jean-Louis Alberini

    Diterbitkan 2024-02-01
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  5. 5
    A Tumour and Liver Automatic Segmentation (ATLAS) Dataset on Contrast-Enhanced Magnetic Resonance Imaging for Hepatocellular Carcinoma

    A Tumour and Liver Automatic Segmentation (ATLAS) Dataset on Contrast-Enhanced Magnetic Resonance Imaging for Hepatocellular Carcinoma oleh Félix Quinton, Romain Popoff, Benoît Presles, Sarah Leclerc, Fabrice Meriaudeau, Guillaume Nodari, Olivier Lopez, Julie Pellegrinelli, Olivier Chevallier, Dominique Ginhac, Jean-Marc Vrigneaud, Jean-Louis Alberini

    Diterbitkan 2023-04-01
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  6. 6
    Segmentation of 4D Flow MRI: Comparison between 3D Deep Learning and Velocity-Based Level Sets

    Segmentation of 4D Flow MRI: Comparison between 3D Deep Learning and Velocity-Based Level Sets oleh Armando Barrera-Naranjo, Diana M. Marin-Castrillon, Thomas Decourselle, Siyu Lin, Sarah Leclerc, Marie-Catherine Morgant, Chloé Bernard, Shirley De Oliveira, Arnaud Boucher, Benoit Presles, Olivier Bouchot, Jean-Joseph Christophe, Alain Lalande

    Diterbitkan 2023-06-01
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  7. 7
    Impact of contouring methods on pre-treatment and post-treatment dosimetry for the prediction of tumor control and survival in HCC patients treated with selective internal radiation therapy

    Impact of contouring methods on pre-treatment and post-treatment dosimetry for the prediction of tumor control and survival in HCC patients treated with selective internal radiatio... oleh Guillaume Nodari, Romain Popoff, Jean Marc Riedinger, Olivier Lopez, Julie Pellegrinelli, Inna Dygai-Cochet, Claire Tabouret-Viaud, Benoit Presles, Olivier Chevallier, Sophie Gehin, Matthieu Gallet, Marianne Latournerie, Sylvain Manfredi, Romaric Loffroy, Jean Marc Vrigneaud, Alexandre Cochet

    Diterbitkan 2021-03-01
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