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Books and Theses
- 2019
[b1]Mira Rizkallah:
Graph based transforms for compression of new imaging modalities. (Transformées basées graphes pour la compression de nouvelles modalités d'image). University of Rennes 1, France, 2019
Journal Articles
- 2021
- [j3]Mira Rizkallah
, Thomas Maugey, Christine Guillemot:
Rate-Distortion Optimized Graph Coarsening and Partitioning for Light Field Coding. IEEE Trans. Image Process. 30: 5518-5532 (2021) - 2020
- [j2]Mira Rizkallah, Xin Su, Thomas Maugey, Christine Guillemot:
Geometry-Aware Graph Transforms for Light Field Compact Representation. IEEE Trans. Image Process. 29: 602-616 (2020) - [j1]Mira Rizkallah, Thomas Maugey, Christine Guillemot:
Prediction and Sampling With Local Graph Transforms for Quasi-Lossless Light Field Compression. IEEE Trans. Image Process. 29: 3282-3295 (2020)
Conference and Workshop Papers
- 2023
- [c10]Aswathi Aswathi, Mira Rizkallah, Gauthier Frecon, Clément Bailly, Caroline Bodet-Milin, Olivier Casasnovas, Steven Le Gouill, Françoise Kraeber-Bodéré, Thomas Carlier, Diana Mateus:
Lesion Graph Neural Networks for 2-Year Progression Free Survival Classification of Diffuse Large B-Cell Lymphoma Patients. ISBI 2023: 1-5 - [c9]Oriane Thiery, Mira Rizkallah, Clément Bailly, Caroline Bodet-Milin, Emmanuel Itti, René-Olivier Casasnovas, Steven Le Gouill, Thomas Carlier, Diana Mateus:
Graph-Based Multimodal Multi-lesion DLBCL Treatment Response Prediction from PET Images. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 103-112 - 2022
- [c8]Guillaume Pelluet, Mira Rizkallah, Mickael Tardy, Oscar Acosta, Diana Mateus:
Multi-scale Graph Neural Networks for Mammography Classification and Abnormality Detection. MIUA 2022: 636-650 - 2021
- [c7]Guillaume Pelluet, Mira Rizkallah, Oscar Acosta, Diana Mateus:
Unsupervised Multimodal Supervoxel Merging Towards Brain Tumor Segmentation. BrainLes@MICCAI (1) 2021: 88-99 - 2019
- [c6]Mira Rizkallah, Thomas Maugey, Christine Guillemot:
Graph-Based Spatio-Angular Prediction for Quasi-Lossless Compression of Light Fields. DCC 2019: 379-388 - 2018
- [c5]Mira Rizkallah, Francesca De Simone, Thomas Maugey, Christine Guillemot, Pascal Frossard:
Rate Distortion Optimized Graph Partitioning for Omnidirectional Image Coding. EUSIPCO 2018: 897-901 - [c4]Xin Su, Mira Rizkallah, Thomas Mauzev, Christine Guillemot:
Rate-Distortion Optimized Super-Ray Merging for Light Field Compression. EUSIPCO 2018: 1850-1854 - [c3]Mira Rizkallah, Xin Su, Thomas Maugey, Christine Guillemot:
Graph-based Transforms for Predictive Light Field Compression based on Super-Pixels. ICASSP 2018: 1718-1722 - 2017
- [c2]Xin Su, Mira Rizkallah, Thomas Maugey, Christine Guillemot:
Graph-based light fields representation and coding using geometry information. ICIP 2017: 4023-4027 - 2016
- [c1]Mira Rizkallah, Thomas Maugey, Charles Yaacoub, Christine Guillemot:
Impact of light field compression on focus stack and extended focus images. EUSIPCO 2016: 898-902
Informal and Other Publications
- 2023
- [i3]Oriane Thiery, Mira Rizkallah, Clément Bailly, Caroline Bodet-Milin, Emmanuel Itti, René-Olivier Casasnovas, Steven Le Gouill, Thomas Carlier, Diana Mateus:
Graph-based multimodal multi-lesion DLBCL treatment response prediction from PET images. CoRR abs/2310.16863 (2023) - 2019
- [i2]Mira Rizkallah, Thomas Maugey, Christine Guillemot:
Prediction and Sampling with Local Graph Transforms for Quasi-Lossless Light Field Compression. CoRR abs/1903.03546 (2019) - [i1]Mira Rizkallah, Xin Su, Thomas Maugey, Christine Guillemot:
Geometry-Aware Graph Transforms for Light Field Compact Representation. CoRR abs/1903.03556 (2019)
Coauthor Index
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