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Graph-based multimodal multi-lesion DLBCL treatment response prediction from PET images
Experimental results show that our proposed method outperforms classical supervised methods based on either clinical, imaging or both clinical and imaging data for the 2-year progression-free survival (PFS) classification accuracy.
Prediction and Sampling with Local Graph Transforms for Quasi-Lossless Light Field Compression
The proposed approach is investigated and is shown to be very efficient in the context of spatio-angular transforms for quasi-lossless compression of light fields.
Geometry-Aware Graph Transforms for Light Field Compact Representation
Both non separable and separable transforms are considered.
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