Παρακολούθηση
Mira Rizkallah
Mira Rizkallah
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα ec-nantes.fr
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Impact of Light Field Compression on Focus Stack and Extended Focus Images
M Rizkallah, T Maugey, C Yaacoub, C Guillemot
2016 24th European Signal Processing Conference, 2016
362016
Geometry-aware graph transforms for light field compact representation
M Rizkallah, X Su, T Maugey, C Guillemot
arXiv preprint arXiv:1903.03556, 2019
192019
Graph-based transforms for predictive light field compression based on super-pixels
M Rizkallah, X Su, T Maugey, C Guillemot
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
192018
Graph-based light fields representation and coding using geometry information
X Su, M Rizkallah, T Maugey, C Guillemot
2017 IEEE International Conference on Image Processing (ICIP), 4023-4027, 2017
152017
Rate distortion optimized graph partitioning for omnidirectional image coding
M Rizkallah, F De Simone, T Maugey, C Guillemot, P Frossard
2018 26th European Signal Processing Conference (EUSIPCO), 897-901, 2018
72018
Prediction and sampling with local graph transforms for quasi-lossless light field compression
M Rizkallah, T Maugey, C Guillemot
IEEE Transactions on Image Processing 29, 3282-3295, 2019
62019
Rate-distortion optimized super-ray merging for light field compression
X Su, M Rizkallah, T Mauzev, C Guillemot
2018 26th European Signal Processing Conference (EUSIPCO), 1850-1854, 2018
62018
Rate-distortion optimized graph coarsening and partitioning for light field coding
M Rizkallah, T Maugey, C Guillemot
IEEE Transactions on Image Processing 30, 5518-5532, 2021
52021
Graph-based spatio-angular prediction for quasi-lossless compression of light fields
M Rizkallah, T Maugey, C Guillemot
2019 Data Compression Conference (DCC), 379-388, 2019
42019
Graph based transforms for compression of new imaging modalities
M Rizkallah
Université Rennes 1, 2019
22019
18F-FDG-based radiomics and machine learning: a useful help for aortic prosthetic valve infective endocarditis diagnosis?
T Godefroy, G Frecon, A Asquier-Khati, D Mateus, R Lecomte, M Rizkallah, ...
European Heart Journal 43 (Supplement_2), ehac544. 318, 2022
12022
Lesion graph neural networks for 2-year progression free survival classification of Diffuse Large B-Cell Lymphoma patients
A Aswathi, M Rizkallah, G Frecon, C Bailly, CM Bodet-Milin, ...
International Symposium on Biomedical Imaging, 2023
2023
F-18-FDG PET/CT at baseline in DLBCL patients enrolled in the GAINED protocol: A machine learning study to assess the usefulness of combining clinical, conventional and …
T Carlier, G Frecon, D Mateus, M Rizkallah, F Kraeber-Bodere, S Kanoun, ...
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 49 (SUPPL 1 …, 2022
2022
Multi-scale Graph Neural Networks for Mammography Classification and Abnormality Detection
G Pelluet, M Rizkallah, M Tardy, O Acosta, D Mateus
Medical Image Understanding and Analysis: 26th Annual Conference, MIUA 2022 …, 2022
2022
Unsupervised Multimodal Supervoxel Merging Towards Brain Tumor Segmentation
G Pelluet, M Rizkallah, O Acosta, D Mateus
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2022
2022
Apport de l'intelligence artificielle pour l'interprétation du TEP-scanner chez les patients suspects d'endocardite infectieuse sur prothèse valvulaire.
A Asquier-Khati, G Frecon, R Lecomte, T Godefroy, M Rizkallah, D Mateus, ...
Médecine et Maladies Infectieuses Formation 1 (2), S23, 2022
2022
Graph Spectral 3D Image Compression
T Maugey, M Rizkallah, N Mahmoudian Bidgoli, A Roumy, C Guillemot
Graph Spectral Image Processing, 105, 2021
2021
Compression of Light Fields and Impact on Image Rendering
M Rizkallah
2015
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