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Data-Driven Feature Learning for Myocardial Segmentation of CP-BOLD MRI.

A. Mukhopadhyay, I. Öksüz, M. Bevilacqua, R. Dharmakumar, and S. Tsaftaris. FIMH, volume 9126 of Lecture Notes in Computer Science, page 189-197. Springer, (2015)

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Marco Ströbel University of Stuttgart

Marco Testa University of Stuttgart

Marco Maier University of Stuttgart

Dr. Marco Spurk University of Stuttgart

Marco Dettling University of Stuttgart

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Video super-resolution via sparse combinations of key-frame patches in a compression context.M. Bevilacqua, A. Roumy, C. Guillemot, and M. Alberi-Morel. PCS, page 337-340. IEEE, (2013)Neighbor embedding based single-image super-resolution using Semi-Nonnegative Matrix Factorization.M. Bevilacqua, A. Roumy, C. Guillemot, and M. Alberi-Morel. ICASSP, page 1289-1292. IEEE, (2012)Data-Driven Feature Learning for Myocardial Segmentation of CP-BOLD MRI.A. Mukhopadhyay, I. Öksüz, M. Bevilacqua, R. Dharmakumar, and S. Tsaftaris. FIMH, volume 9126 of Lecture Notes in Computer Science, page 189-197. Springer, (2015)Multiple-Feature Kernel-Based Probabilistic Clustering for Unsupervised Band Selection.M. Bevilacqua, and Y. Berthoumieu. IEEE Trans. Geoscience and Remote Sensing, 57 (9): 6675-6689 (2019)Unsupervised Myocardial Segmentation for Cardiac MRI.A. Mukhopadhyay, I. Öksüz, M. Bevilacqua, R. Dharmakumar, and S. Tsaftaris. MICCAI (3), volume 9351 of Lecture Notes in Computer Science, page 12-20. Springer, (2015)Super-resolution using neighbor embedding of back-projection residuals.M. Bevilacqua, A. Roumy, C. Guillemot, and M. Alberi-Morel. DSP, page 1-8. IEEE, (2013)Low-Complexity Single-Image Super-Resolution based on Nonnegative Neighbor Embedding.M. Bevilacqua, A. Roumy, C. Guillemot, and M. Alberi-Morel. BMVC, page 1-10. BMVA Press, (2012)Classification d'Images pour la Catégorisation de Produits sur un Site de E-Commerce.Z. Li, É. Guàrdia-Sebaoun, M. Bevilacqua, C. Grauer, M. Cornec, and B. Goutorbe. APIA, page 105-112. (2018)K-WEB: Nonnegative dictionary learning for sparse image representations.M. Bevilacqua, A. Roumy, C. Guillemot, and M. Alberi-Morel. ICIP, page 146-150. IEEE, (2013)Algorithms for super-resolution of images and videos based on learning methods. (Algorithmes de super-résolution d'images et de vidéos basés sur des méthodes d'apprentissage).M. Bevilacqua. University of Rennes 1, France, (2014)