Benoît Lelandais

12 papers B 3Journal 4Unranked 4
YearRankTypeTitle / Venue / Authors
2024 J jnl
From Small Scales to Large Scales: Distance-to-Measure Density based Geometric Analysis of Complex Data.
J. Mach. Learn. Res.
Katharina Proksch, Christoph Alexander Weikamp, Thomas Staudt, Benoît Lelandais, Christophe Zimmer
2023 B conf
Practical Runtime Instrumentation of Software Languages: The Case of SciHook.
SLE
Dorian Leroy, Benoît Combemale, Benoît Lelandais, Marie-Pierre Oudot
2021 B conf
Monilogging for executable domain-specific languages.
SLE
Dorian Leroy, Benoît Lelandais, Marie-Pierre Oudot, Benoît Combemale
2019 J jnl
Applying model-driven engineering to high-performance computing: Experience report, lessons learned, and remaining challenges.
J. Comput. Lang.
Benoît Lelandais, Marie-Pierre Oudot, Benoît Combemale
2018 B conf
Fostering metamodels and grammars within a dedicated environment for HPC: the NabLab environment (tool demo).
SLE
Benoît Lelandais, Marie-Pierre Oudot, Benoît Combemale
2015 — conf
Deconvolution regularized using fuzzy c-means algorithm for biomedical image deblurring and segmentation.
ISBI
Benoît Lelandais, Frederic Duconge
2014 J jnl
Dealing with uncertainty and imprecision in image segmentation using belief function theory.
Int. J. Approx. Reason.
Benoît Lelandais, Isabelle Gardin, Laurent Mouchard, Pierre Vera, Su Ruan
2014 J jnl
Fusion of multi-tracer PET images for dose painting.
Medical Image Anal.
Benoît Lelandais, Su Ruan, Thierry Denoeux, Pierre Vera, Isabelle Gardin
2013 — —
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).
Benoît Lelandais
2012 — conf
Segmentation of Biological Target Volumes on Multi-tracer PET Images Based on Information Fusion for Achieving Dose Painting in Radiotherapy.
MICCAI (1)
Benoît Lelandais, Isabelle Gardin, Laurent Mouchard, Pierre Vera, Su Ruan
2012 — conf
Using Belief Function Theory to Deal with Uncertainties and Imprecisions in Image Processing.
Belief Functions
Benoît Lelandais, Isabelle Gardin, Laurent Mouchard, Pierre Vera, Su Ruan
2009 — conf
Characterization of Endomicroscopic Images of the Distal Lung for Computer-Aided Diagnosis.
ICIC (1)
Aurélien Saint-Réquier, Benoît Lelandais, Caroline Petitjean, Chesner Désir, Laurent Heutte, Mathieu Salaün, Luc Thiberville