Search Results - Dubljevic, Natalia

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  1. 1
    Effect of MR head coil geometry on deep‐learning‐based MR image reconstruction

    Effect of MR head coil geometry on deep‐learning‐based MR image reconstruction by Dubljevic, Natalia, Moore, Stephen, Lauzon, Michel Louis, Souza, Roberto, Frayne, Richard

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  2. 2
    Tensor radiomics: paradigm for systematic incorporation of multi-flavoured radiomics features

    Tensor radiomics: paradigm for systematic incorporation of multi-flavoured radiomics features by Rahmim, Arman, Toosi, Amirhosein, Salmanpour, Mohammad R, Dubljevic, Natalia, Janzen, Ian, Shiri, Isaac, Yuan, Ren, Ho, Cheryl, Zaidi, Habib, MacAulay, Calum, Uribe, Carlos, Yousefirizi, Fereshteh

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  3. 3
    A cascaded deep network for automated tumor detection and segmentation in clinical PET imaging of diffuse large B-cell lymphoma

    A cascaded deep network for automated tumor detection and segmentation in clinical PET imaging of diffuse large B-cell lymphoma by Ahamed, Shadab, Dubljevic, Natalia, Bloise, Ingrid, Gowdy, Claire, Martineau, Patrick, Wilson, Don, Uribe, Carlos F, Rahmim, Arman, Yousefirizi, Fereshteh

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  4. 4
    Segmentation and Risk Score Prediction of Head and Neck Cancers in PET/CT Volumes with 3D U-Net and Cox Proportional Hazard Neural Networks

    Segmentation and Risk Score Prediction of Head and Neck Cancers in PET/CT Volumes with 3D U-Net and Cox Proportional Hazard Neural Networks by Yousefirizi, Fereshteh, Janzen, Ian, Dubljevic, Natalia, Liu, Yueh-En, Hill, Chloe, MacAulay, Calum, Rahmim, Arman

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  5. 5
    Tensor Radiomics: Paradigm for Systematic Incorporation of Multi-Flavoured Radiomics Features

    Tensor Radiomics: Paradigm for Systematic Incorporation of Multi-Flavoured Radiomics Features by Rahmim, Arman, Toosi, Amirhosein, Salmanpour, Mohammad R, Dubljevic, Natalia, Janzen, Ian, Shiri, Isaac, Ren, Yuan, Ho, Cheryl, Zaidi, Habib, MacAulay, Calum, Uribe, Carlos, Yousefirizi, Fereshteh

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  6. 6
    Convolutional neural network with a hybrid loss function for fully automated segmentation of lymphoma lesions in FDG PET images

    Convolutional neural network with a hybrid loss function for fully automated segmentation of lymphoma lesions in FDG PET images by Yousefirizi, Fereshteh, Dubljevic, Natalia, Ahamed, Shadab, Bloise, Ingrid, Gowdy, Claire, Joo, Hyun O, Farag, Youssef, Rodrigue de Schaetzen, Martineau, Patrick, Wilson, Don, Uribe, Carlos F, Rahmim, Arman

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