Benoît Lelandais

Orcid: 0000-0003-0321-4015

According to our database1, Benoît Lelandais authored at least 12 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
From Small Scales to Large Scales: Distance-to-Measure Density based Geometric Analysis of Complex Data.
J. Mach. Learn. Res., 2024

2023
Practical Runtime Instrumentation of Software Languages: The Case of SciHook.
Proceedings of the 16th ACM SIGPLAN International Conference on Software Language Engineering, 2023

2021
Monilogging for executable domain-specific languages.
Proceedings of the SLE '21: 14th ACM SIGPLAN International Conference on Software Language Engineering, Chicago, IL, USA, October 17, 2021

2019
Applying model-driven engineering to high-performance computing: Experience report, lessons learned, and remaining challenges.
J. Comput. Lang., 2019

2018
Fostering metamodels and grammars within a dedicated environment for HPC: the NabLab environment (tool demo).
Proceedings of the 11th ACM SIGPLAN International Conference on Software Language Engineering, 2018

2015
Deconvolution regularized using fuzzy c-means algorithm for biomedical image deblurring and segmentation.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014
Fusion of multi-tracer PET images for dose painting.
Medical Image Anal., 2014

Dealing with uncertainty and imprecision in image segmentation using belief function theory.
Int. J. Approx. Reason., 2014

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).
PhD thesis, 2013

2012
Segmentation of Biological Target Volumes on Multi-tracer PET Images Based on Information Fusion for Achieving Dose Painting in Radiotherapy.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Using Belief Function Theory to Deal with Uncertainties and Imprecisions in Image Processing.
Proceedings of the Belief Functions: Theory and Applications, 2012

2009
Characterization of Endomicroscopic Images of the Distal Lung for Computer-Aided Diagnosis.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2009


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