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2020 – today
- 2024
[j4]Katharina Proksch, Christoph Alexander Weikamp, Thomas Staudt, Benoît Lelandais, Christophe Zimmer:
From Small Scales to Large Scales: Distance-to-Measure Density based Geometric Analysis of Complex Data. J. Mach. Learn. Res. 25: 210:1-210:53 (2024)- 2023
- [c7]Dorian Leroy, Benoît Combemale, Benoît Lelandais, Marie-Pierre Oudot:
Practical Runtime Instrumentation of Software Languages: The Case of SciHook. SLE 2023: 226-231 - 2021
- [c6]Dorian Leroy, Benoît Lelandais, Marie-Pierre Oudot, Benoît Combemale:
Monilogging for executable domain-specific languages. SLE 2021: 2-15
2010 – 2019
- 2019
- [j3]Benoît Lelandais, Marie-Pierre Oudot, Benoît Combemale:
Applying model-driven engineering to high-performance computing: Experience report, lessons learned, and remaining challenges. J. Comput. Lang. 55 (2019) - 2018
- [c5]Benoît Lelandais, Marie-Pierre Oudot, Benoît Combemale:
Fostering metamodels and grammars within a dedicated environment for HPC: the NabLab environment (tool demo). SLE 2018: 200-204 - 2015
- [c4]Benoît Lelandais
, Frederic Duconge:
Deconvolution regularized using fuzzy c-means algorithm for biomedical image deblurring and segmentation. ISBI 2015: 1457-1461 - 2014
- [j2]Benoît Lelandais, Isabelle Gardin, Laurent Mouchard, Pierre Vera, Su Ruan:
Dealing with uncertainty and imprecision in image segmentation using belief function theory. Int. J. Approx. Reason. 55(1): 376-387 (2014) - [j1]Benoît Lelandais, Su Ruan, Thierry Denoeux, Pierre Vera, Isabelle Gardin:
Fusion of multi-tracer PET images for dose painting. Medical Image Anal. 18(7): 1247-1259 (2014) - 2013
- [b1]Benoît Lelandais:
Fusion d'informations et segmentation d'images basées sur la théorie des fonctions de croyance : Application à l'imagerie médicale TEP multi-traceurs. (Information fusion and image segmentation based on belief function theory: Application to multi-tracer PET medical imaging). University of Rouen, France, 2013 - 2012
- [c3]Benoît Lelandais, Isabelle Gardin, Laurent Mouchard, Pierre Vera, Su Ruan:
Using Belief Function Theory to Deal with Uncertainties and Imprecisions in Image Processing. Belief Functions 2012: 197-204 - [c2]Benoît Lelandais, Isabelle Gardin, Laurent Mouchard, Pierre Vera, Su Ruan:
Segmentation of Biological Target Volumes on Multi-tracer PET Images Based on Information Fusion for Achieving Dose Painting in Radiotherapy. MICCAI (1) 2012: 545-552
2000 – 2009
- 2009
- [c1]Aurélien Saint-Réquier, Benoît Lelandais, Caroline Petitjean, Chesner Désir, Laurent Heutte, Mathieu Salaün, Luc Thiberville:
Characterization of Endomicroscopic Images of the Distal Lung for Computer-Aided Diagnosis. ICIC (1) 2009: 994-1003
Coauthor Index
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