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Etienne Decencière
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2020 – today
- 2024
- [c35]Romain Vo, Julie Escoda, Caroline Vienne, Etienne Decencière:
Neural Field Regularization by Denoising for 3D Sparse-View X-Ray Computed Tomography. 3DV 2024: 1166-1176 - [c34]Matteo Bastico, Etienne Decencière, Laurent Corté, Yannick Tillier, David Ryckelynck:
Coupled Laplacian Eigenmaps for Locally-Aware 3D Rigid Point Cloud Matching. CVPR 2024: 3447-3458 - [c33]Romain Vo
, Julie Escoda
Plug-and-Play Learned Proximal Trajectory for 3D Sparse-View X-Ray Computed Tomography. ECCV (35) 2024: 221-238 - [c32]Mateus Sangalli, Santiago Velasco-Forero, José-Marcio Martins da Cruz, Virginie Flouret, Charlène Gayrard, Thérèse Baldeweck, Etienne Decencière:
Spatial Reasoning Loss for Weakly Supervised Segmentation of Skin Histological Images. ISBI 2024: 1-5 - [i8]Matteo Bastico, Etienne Decencière, Laurent Corté, Yannick Tillier, David Ryckelynck:
Coupled Laplacian Eigenmaps for Locally-Aware 3D Rigid Point Cloud Matching. CoRR abs/2402.17372 (2024) - 2023
- [c31]Tristan Lazard, Marvin Lerousseau, Etienne Decencière, Thomas Walter:
Giga-SSL: Self-Supervised Learning for Gigapixel Images. CVPR Workshops 2023: 4305-4314 - [c30]Matteo Bastico, David Ryckelynck, Laurent Corté, Yannick Tillier, Etienne Decencière:
A Simple and Robust Framework for Cross-Modality Medical Image Segmentation applied to Vision Transformers. ICCV (Workshops) 2023: 4130-4140 - [c29]Zeyu Jiang, João P. C. Bertoldo
Heuristic Hyperparameter Choice for Image Anomaly Detection. IPTA 2023: 1-5 - [i7]João P. C. Bertoldo, Santiago Velasco-Forero, Jesús Angulo, Etienne Decencière:
Adapting the Hypersphere Loss Function from Anomaly Detection to Anomaly Segmentation. CoRR abs/2301.09602 (2023) - [i6]Zeyu Jiang, João P. C. Bertoldo, Etienne Decencière:
Heuristic Hyperparameter Choice for Image Anomaly Detection. CoRR abs/2307.11197 (2023) - [i5]Matteo Bastico, David Ryckelynck, Laurent Corté, Yannick Tillier, Etienne Decencière:
A Simple and Robust Framework for Cross-Modality Medical Image Segmentation applied to Vision Transformers. CoRR abs/2310.05572 (2023) - 2022
- [i4]João P. C. Bertoldo, Etienne Decencière:
[Reproducibility Report] Explainable Deep One-Class Classification. CoRR abs/2206.02598 (2022) - [i3]Tristan Lazard, Marvin Lerousseau, Etienne Decencière, Thomas Walter
Giga-SSL: Self-Supervised Learning for Gigapixel Images. CoRR abs/2212.03273 (2022) - 2021
- [c28]David Duque-Arias, Santiago Velasco-Forero, Jean-Emmanuel Deschaud, François Goulette, Andrés Serna, Etienne Decencière, Beatriz Marcotegui:
On Power Jaccard Losses for Semantic Segmentation. VISIGRAPP (5: VISAPP) 2021: 561-568 - [i2]João P. C. Bertoldo
A modular U-Net for automated segmentation of X-ray tomography images in composite materials. CoRR abs/2107.07468 (2021) - 2020
- [j14]Robin Alais, Petr Dokládal
Fast macula detection and application to retinal image quality assessment. Biomed. Signal Process. Control. 55 (2020)
2010 – 2019
- 2019
- [j13]Pierre Cettour-Janet, Clément Cazorla
Watervoxels. Image Process. Line 9: 317-328 (2019) - [c27]Yutong Yan, Pierre-Henri Conze, Etienne Decencière
Cascaded multi-scale convolutional encoder-decoders for breast mass segmentation in high-resolution mammograms. EMBC 2019: 6738-6741 - [c26]Yang Xiao, Etienne Decencière, Santiago Velasco-Forero, Hélène Burdin, Thomas Bornschlögl, Françoise Bernerd, Emilie Warrick, Thérèse Baldeweck:
A New Color Augmentation Method for Deep Learning Segmentation of Histological Images. ISBI 2019: 886-890 - [c25]Andrés Serna
Segmenting Junction Regions Without Skeletonization Using Geodesic Operators and the Max-Tree. ISMM 2019: 456-467 - [i1]Etienne Decencière, Santiago Velasco-Forero, Fu Min, Juanjuan Chen, Hélène Burdin, Gervais Gauthier, Bruno Laÿ, Thomas Bornschloegl, Thérèse Baldeweck:
Dealing with Topological Information within a Fully Convolutional Neural Network. CoRR abs/1906.11600 (2019) - 2018
- [c24]Etienne Decencière, Santiago Velasco-Forero, Fu Min, Juanjuan Chen, Hélène Burdin, Gervais Gauthier, Bruno Laÿ, Thomas Bornschloegl, Thérèse Baldeweck:
Dealing with Topological Information Within a Fully Convolutional Neural Network. ACIVS 2018: 462-471 - 2017
- [c23]Robin Alais, Petr Dokládal
Function Decomposition in Main and Lesser Peaks. ISMM 2017: 319-330 - 2016
- [c22]Diego Tuccillo
Deep learning for studies of galaxy morphology. Astroinformatics 2016: 191-196 - [c21]Vaïa Machairas, Thérèse Baldeweck, Thomas Walter
New general features based on superpixels for image segmentation learning. ISBI 2016: 1409-1413 - 2015
- [j12]Vaïa Machairas, Matthieu Faessel, David Cárdenas-Peña
Waterpixels. IEEE Trans. Image Process. 24(11): 3707-3716 (2015) - [c20]Vaïa Machairas, Etienne Decencière
Spatial Repulsion Between Markers Improves Watershed Performance. ISMM 2015: 194-202 - 2014
- [j11]Xiwei Zhang, Guillaume Thibault, Etienne Decencière
Exudate detection in color retinal images for mass screening of diabetic retinopathy. Medical Image Anal. 18(7): 1026-1043 (2014) - [j10]Andrés Serna
Segmentation of elongated objects using attribute profiles and area stability: Application to melanocyte segmentation in engineered skin. Pattern Recognit. Lett. 47: 172-182 (2014) - [j9]Vincent Morard, Petr Dokládal
Parsimonious Path Openings and Closings. IEEE Trans. Image Process. 23(4): 1543-1555 (2014) - [c19]Vaïa Machairas, Etienne Decencière
Waterpixels: Superpixels based on the watershed transformation. ICIP 2014: 4343-4347 - 2013
- [j8]Vincent Morard, Etienne Decencière
Efficient Geodesic Attribute Thinnings Based on the Barycentric Diameter. J. Math. Imaging Vis. 46(1): 128-142 (2013) - [c18]Gwenolé Quellec
Multimedia data mining for automatic diabetic retinopathy screening. EMBC 2013: 7144-7147 - 2012
- [j7]Vincent Morard, Petr Dokládal
One-Dimensional Openings, Granulometries and Component Trees in O(1) Per Pixel. IEEE J. Sel. Top. Signal Process. 6(7): 840-848 (2012) - [j6]Gwenolé Quellec
A multiple-instance learning framework for diabetic retinopathy screening. Medical Image Anal. 16(6): 1228-1240 (2012) - [c17]Gwenolé Quellec
A general framework for detecting diabetic retinopathy lesions in eye fundus images. CBMS 2012: 1-6 - 2011
- [c16]Vincent Morard, Petr Dokládal
Linear openings in arbitrary orientation in O(1) per pixel. ICASSP 2011: 1457-1460 - [c15]Vincent Morard, Etienne Decencière
Geodesic Attributes Thinnings and Thickenings. ISMM 2011: 200-211
2000 – 2009
- 2009
- [c14]Abdelaali Hassaïne, Etienne Decencière, Bernard Besserer:
Restoration of variable density film soundtracks. EUSIPCO 2009: 2589-2593 - 2008
- [j5]Jonathan Taquet, Bernard Besserer, Abdelaali Hassaïne
Detection and Correction of Under-/Overexposed Optical Soundtracks by Coupling Image and Audio Signal Processing. EURASIP J. Adv. Signal Process. 2008 (2008) - 2007
- [j4]Christian Ronse, Laurent Najman
ISMM05 special issue. Image Vis. Comput. 25(4): 393-394 (2007) - [j3]Romain Lerallut, Etienne Decencière
Image filtering using morphological amoebas. Image Vis. Comput. 25(4): 395-404 (2007) - [c13]Emmanuel Brun
Restoration of Variable Area Soundtracks. ICIP (4) 2007: 13-16 - [c12]Jean Stawiaski, Etienne Decencière, François Bidault:
Computing approximate geodesics and minimal surfaces using watershed and graph cuts. ISMM (1) 2007: 349-360 - 2006
- [c11]Timothée Faucon, Etienne Decencière, Cédric Magneron:
Application of Surface Topological Segmentation to Seismic Imaging. DGCI 2006: 506-517 - 2005
- [c10]Romain Lerallut, Mathilde Goehm, Etienne Decencière
Noise reduction in 3D images using morphological amoebas. ICIP (1) 2005: 109-112 - [c9]Romain Lerallut, Etienne Decencière
Image Filtering Using Morphological Amoebas. ISMM 2005: 13-22 - [c8]Etienne Decencière, Michel Bilodeau:
Downsampling of Binary Images Using Adaptive Crossing Numbers. ISMM 2005: 279-288 - [c7]Costin Alin Caciu, Etienne Decencière, Dominique Jeulin:
Stochastic Shape Optimisation. ISMM 2005: 333-342 - [c6]Timothée Faucon, Etienne Decencière, Cédric Magneron:
Morphological Segmentation Applied to 3D Seismic Data. ISMM 2005: 475-484 - [e1]Christian Ronse, Laurent Najman
Mathematical Morphology: 40 Years On, Proceedings of the 7th International Symposium on Mathematical Morphology, ISMM 2005, Paris, France, April 18-20, 2005. Computational Imaging and Vision 30, Springer 2005, ISBN 978-1-4020-3442-8 [contents] - 2001
- [j2]Etienne Decencière
Content-dependent image sampling using mathematical morphology: Application to texture mapping. Signal Process. Image Commun. 16(6): 567-584 (2001) - 2000
- [c5]Etienne Decencière Ferrandière, Beatriz Marcotegui, Fernand Meyer:
Content Dependent Image Sampling Using Mathematical Morphology: Application to Mipmapping. ISMM 2000: 263-272
1990 – 1999
- 1999
- [c4]Lazhar Khriji, Moncef Gabbouj
Old movie restoration using rational spatial interpolators. ICECS 1999: 1151-1154 - [c3]Lazhar Khriji, Moncef Gabbouj, Stefano Marsi, Giovanni Ramponi, Etienne Decencière Ferrandière:
Nonlinear Interpolators for Old Movie Restoration. ICIP (3) 1999: 169-173 - 1998
- [j1]Etienne Decencière, Chantal de Fouquet, Fernand Meyer:
Applications of kriging to image sequence coding. Signal Process. Image Commun. 13(3): 227-249 (1998) - [c2]Etienne Decencière:
An Automatic System for Restoring Image Sequences. NMBIA 1998: 77-82 - 1996
- [c1]Etienne Decencière Ferrandière:
Motion Picture Restoration Using Morphological Tools. ISMM 1996: 361-368
Coauthor Index
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last updated on 2024-10-23 21:25 CEST by the dblp team
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