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Mira Rizkallah

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Functional Graph Image Representation applied to EEG-based Mental Workload ClassificationMaria Sarkis, Mira Rizkallah, Said Moussaoui
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|June 7, 2021
Rate-Distortion Optimized Graph Coarsening and Partitioning for Light Field CodingMira Rizkallah, Thomas Maugey, Christine Guillemot
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|December 24, 2019
Prediction and Sampling with Local Graph Transforms for Quasi-Lossless Light Field CompressionMira Rizkallah, Thomas Maugey, Christine Guillemot
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|September 3, 2025
Enhancing breast cancer screening: Unveiling explainable cross-view contributions in dual-view mammography with Sparse Bipartite Graphs Attention NetworksGuillaume Pelluet, Mira Rizkallah, Mickael Tardy, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|August 6, 2019
Geometry-Aware Graph Transforms for Light Field Compact RepresentationMira Rizkallah, Xin Su, Thomas Maugey, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|January 16, 2025
PET-based lesion graphs meet clinical data: An interpretable cross-attention framework for DLBCL treatment response predictionOriane Thiery, Mira Rizkallah, Clément Bailly, et al.
JACC. Cardiovascular Imaging|April 13, 2023
<sup>18</sup>F-FDG-Based Radiomics and Machine Learning: Useful Help for Aortic Prosthetic Valve Infective Endocarditis Diagnosis?Thomas Godefroy, Gauthier Frécon, Antoine Asquier-Khati, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|November 9, 2023
Prognostic Value of <sup>18</sup>F-FDG PET Radiomics Features at Baseline in PET-Guided Consolidation Strategy in Diffuse Large B-Cell Lymphoma: A Machine-Learning Analysis from the GAINED StudyThomas Carlier, Gauthier Frécon, Diana Mateus, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Functional Graph Image Representation applied to EEG-based Mental Workload ClassificationMaria Sarkis, Mira Rizkallah, Said Moussaoui
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|June 7, 2021
Rate-Distortion Optimized Graph Coarsening and Partitioning for Light Field CodingMira Rizkallah, Thomas Maugey, Christine Guillemot
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|December 24, 2019
Prediction and Sampling with Local Graph Transforms for Quasi-Lossless Light Field CompressionMira Rizkallah, Thomas Maugey, Christine Guillemot
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|September 3, 2025
Enhancing breast cancer screening: Unveiling explainable cross-view contributions in dual-view mammography with Sparse Bipartite Graphs Attention NetworksGuillaume Pelluet, Mira Rizkallah, Mickael Tardy, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|August 6, 2019
Geometry-Aware Graph Transforms for Light Field Compact RepresentationMira Rizkallah, Xin Su, Thomas Maugey, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|January 16, 2025
PET-based lesion graphs meet clinical data: An interpretable cross-attention framework for DLBCL treatment response predictionOriane Thiery, Mira Rizkallah, Clément Bailly, et al.
JACC. Cardiovascular Imaging|April 13, 2023
<sup>18</sup>F-FDG-Based Radiomics and Machine Learning: Useful Help for Aortic Prosthetic Valve Infective Endocarditis Diagnosis?Thomas Godefroy, Gauthier Frécon, Antoine Asquier-Khati, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|November 9, 2023
Prognostic Value of <sup>18</sup>F-FDG PET Radiomics Features at Baseline in PET-Guided Consolidation Strategy in Diffuse Large B-Cell Lymphoma: A Machine-Learning Analysis from the GAINED StudyThomas Carlier, Gauthier Frécon, Diana Mateus, et al.
Pageof 1