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Ingrid Bloise

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A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset

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Mar 11, 2024
Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo H. O, Carlos F. Uribe, Rahul Dodhia, Juan L. Ferres, Arman Rahmim

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

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Mar 11, 2024
Shadab Ahamed, Natalia Dubljevic, Ingrid Bloise, Claire Gowdy, Patrick Martineau, Don Wilson, Carlos F. Uribe, Arman Rahmim, Fereshteh Yousefirizi

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Observer study-based evaluation of TGAN architecture used to generate oncological PET images

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Nov 28, 2023
Roberto Fedrigo, Fereshteh Yousefirizi, Ziping Liu, Abhinav K. Jha, Robert V. Bergen, Jean-Francois Rajotte, Raymond T. Ng, Ingrid Bloise, Sara Harsini, Dan J. Kadrmas, Carlos Uribe, Arman Rahmim

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Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images

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Nov 16, 2023
Shadab Ahamed, Yixi Xu, Claire Gowdy, Joo H. O, Ingrid Bloise, Don Wilson, Patrick Martineau, François Bénard, Fereshteh Yousefirizi, Rahul Dodhia, Juan M. Lavista, William B. Weeks, Carlos F. Uribe, Arman Rahmim

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Semi-supervised learning towards automated segmentation of PET images with limited annotations: Application to lymphoma patients

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Dec 24, 2022
Fereshteh Yousefirizi, Isaac Shiri, Joo Hyun O, Ingrid Bloise, Patrick Martineau, Don Wilson, François Bénard, Laurie H. Sehn, Kerry J. Savage, Habib Zaidi, Carlos F. Uribe, Arman Rahmim

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