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Paolo Piro
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2010 – 2019
- 2019
- [j5]Esther Puyol-Antón
, Bram Ruijsink
Regional Multi-View Learning for Cardiac Motion Analysis: Application to Identification of Dilated Cardiomyopathy Patients. IEEE Trans. Biomed. Eng. 66(4): 956-966 (2019) - [c21]Mathieu De Craene, Paolo Piro, Nicolas Duchateau, Pascal Allain, Eric Saloux:
Left Ventricular Shape and Motion Reconstruction Through a Healthy Model for Characterizing Remodeling After Infarction. FIMH 2019: 159-167 - 2018
- [c20]Esther Puyol-Antón
Fully automated myocardial strain estimation from cine MRI using convolutional neural networks. ISBI 2018: 1139-1143 - [c19]Esther Puyol-Antón
Learning Associations Between Clinical Information and Motion-Based Descriptors Using a Large Scale MR-derived Cardiac Motion Atlas. STACOM@MICCAI 2018: 94-102 - [i2]Esther Puyol-Antón, Bram Ruijsink, Hélène Langet, Mathieu De Craene, Paolo Piro, Julia A. Schnabel, Andrew P. King:
Learning associations between clinical information and motion-based descriptors using a large scale MR-derived cardiac motion atlas. CoRR abs/1807.10653 (2018) - 2017
- [j4]Esther Puyol-Antón
A multimodal spatiotemporal cardiac motion atlas from MR and ultrasound data. Medical Image Anal. 40: 96-110 (2017) - [c18]C. Raynaud, Hélène Langet
Handcrafted features vs ConvNets in 2D echocardiographic images. ISBI 2017: 1116-1119 - [c17]Esther Puyol-Antón
Multiview Machine Learning Using an Atlas of Cardiac Cycle Motion. STACOM@MICCAI 2017: 3-11 - 2016
- [c16]Esther Puyol-Antón
Towards a multimodal cardiac motion atlas. ISBI 2016: 32-35 - 2013
- [p1]Paolo Piro, Richard Nock, Wafa Bel Haj Ali:
Boosting k-Nearest Neighbors Classification. Advanced Topics in Computer Vision 2013: 341-375 - 2012
- [j3]Richard Nock, Paolo Piro, Frank Nielsen
Boosting k-NN for Categorization of Natural Scenes. Int. J. Comput. Vis. 100(3): 294-314 (2012) - [j2]Paolo Piro, Richard Nock, Frank Nielsen
Leveraging k-NN for generic classification boosting. Neurocomputing 80: 3-9 (2012) - [c15]Paolo Piro, Wafa Bel Haj Ali, Lydie Crescence, Oumelkheir Ferhat, Jacques Darcourt, Thierry Pourcher, Michel Barlaud:
Universal k-NN (UNN) Classification of Cell Images using Histograms of DoG Coefficients. BIOINFORMATICS 2012: 303-307 - [c14]Wafa Bel Haj Ali, Paolo Piro, Dario Giampaglia, Thierry Pourcher, Michel Barlaud:
Biological cells classification using bio-inspired descriptor in a boosting k-NN framework. CBMS 2012: 1-6 - [c13]Paolo Piro, Diego Sona, Vittorio Murino:
Inner product tree for improved Orthogonal Matching Pursuit. ICPR 2012: 429-432 - [c12]Wafa Bel Haj Ali, Dario Giampaglia, Michel Barlaud, Paolo Piro, Richard Nock, Thierry Pourcher:
Classification of biological cells using bio-inspired descriptors. ICPR 2012: 3353-3357 - [c11]Wafa Bel Haj Ali, Paolo Piro, Lydie Crescence, Dario Giampaglia, Oumelkheir Ferhat, Jacques Darcourt, Thierry Pourcher, Michel Barlaud:
A Bio-inspired Learning and Classification Method for Subcellular Localization of a Plasma Membrane Protein. VISAPP (1) 2012: 579-584 - 2010
- [b1]Paolo Piro:
Learning prototype-based classification rules in a boosting framework: application to real-world and medical image categorization. University of Nice Sophia Antipolis, France, 2010 - [j1]Paolo Piro, Sandrine Anthoine, Eric Debreuve, Michel Barlaud:
Combining spatial and temporal patches for scalable video indexing. Multim. Tools Appl. 48(1): 89-104 (2010) - [c10]Paolo Piro, Richard Nock, Frank Nielsen
Multi-class Leveraged κ-NN for Image Classification. ACCV (3) 2010: 67-81 - [c9]Wafa Bel Haj Ali, Paolo Piro, Éric Debreuve, Michel Barlaud:
From descriptor to boosting: Optimizing the k-NN classification rule. CBMI 2010: 1-5 - [c8]Paolo Piro, Richard Nock, Frank Nielsen
Boosting Bayesian MAP Classification. ICPR 2010: 661-665 - [c7]Paolo Piro, Michel Barlaud, Richard Nock, Frank Nielsen:
K-NN boosting prototype learning for object classification. WIAMIS 2010: 1-4 - [i1]Paolo Piro, Richard Nock, Frank Nielsen, Michel Barlaud:
Boosting k-NN for categorization of natural scenes. CoRR abs/1001.1221 (2010)
2000 – 2009
- 2009
- [c6]Paolo Piro, Sandrine Anthoine, Éric Debreuve, Michel Barlaud:
Scalable Spatio-Temporal Video Indexing Using Sparse Multiscale Patches. CBMI 2009: 95-100 - [c5]Frank Nielsen
Bregman vantage point trees for efficient nearest Neighbor Queries. ICME 2009: 878-881 - [c4]Paolo Piro, Sandrine Anthoine, Eric Debreuve, Michel Barlaud:
Sparse Multiscale Patches (SMP) for Image Categorization. MMM 2009: 227-238 - 2008
- [c3]Paolo Piro, Sandrine Anthoine, Éric Debreuve, Michel Barlaud:
Image retrieval via Kullback-Leibler divergence of patches of multiscale coefficients in the KNN framework. CBMI 2008: 230-235 - [c2]Paolo Piro, Sandrine Anthoine, Eric Debreuve, Michel Barlaud:
Sparse Multiscale Patches for Image Processing. ETVC 2008: 284-304 - [c1]Sandrine Anthoine, Éric Debreuve, Paolo Piro, Michel Barlaud:
Using Neighborhood Distributions of Wavelet Coefficients for On-the-Fly, Multiscale-Based Image Retrieval. WIAMIS 2008: 28-31
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