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List of results
- Jobs/M2 TG 2020 DeepLearning Imagerie Hyperspectrale + (Guillaume Tochon)
- Learning Endmember Dynamics in Multitemporal Hyperspectral Data using a State-Space Model Formulation + (Lucas Drumetz)
- Using Separated Inputs for Multimodal Brain Tumor Segmentation with 3D U-Net-like Architectures + (Nicolas Boutry)
- Experimental digital Gabor hologram rendering of C. elegans worms by a model-trained convolutional neural network (Conference Presentation) + (Michael Atlan)
- Going beyond p-convolutions to learn grayscale morphological operators + (Alexandre Kirszenberg)
- Stability of the Tree of Shapes to Additive Noise + (Nicolas Boutry)
- Learning Sentinel-2 Spectral Dynamics for Long-Run Predictions Using Residual Neural Networks + (Joaquim Estopinan)
- Two Stages CNN-Based Segmentation of GliomasUncertainty Quantification and Prediction of Overall Patient Survival + (Thibault Buatois)
- On Some Associations Between Mathematical Morphology and Artificial Intelligence + (Isabelle Bloch)
- Estimation of the noise level function for color images using mathematical morphology and non-parametric statistics + (Baptiste Esteban)
- Learning Grayscale Mathematical Morphology with Smooth Morphological Layers + (Romain Hermary)
- Estimation de la fonction de niveau de bruit pour des images couleurs en utilisant la morphologie mathématique + (Baptiste Esteban)
- Généricité dynamique pour des algorithmes morphologiques + (Baptiste Esteban)
- The Cost of Dynamism in Static Languages for Image Processing + (Baptiste Esteban)
- The 4th Reactive Synthesis Competition (SYNTCOMP 2017): Benchmarks, Participants & Results + (Swen Jacobs)
- Benchmark on Automatic 6-month-old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge + (Li Wang)
- New Security Protocols for Offline Point-of-Sale Machines + (Nour El Madhoun)
- ENST-IRCGN System Description + (Patrick Perrot)
- People/Géraud Béguin + (Géraud Béguin)
- Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities: Results of the WMH Segmentation Challenge + (H J Kuijf)
- GMM Weights Adaptation Based on Subspace Approaches for Speaker Verification + (Najim Dehak)
- QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation — Analysis of Ranking Scores and Benchmarking Results + (Raghav Mehta)
- Deep Learning for Detection and Segmentation of Artefact and Disease Instances in Gastrointestinal Endoscopy + (Sharib Ali)
- CDCLSym: Introducing Effective Symmetry Breaking in SAT Solving + (Hakan Metin)
- Report on the 5th Workshop ELW at ECOOP 2008 + (Didier Verna)
- VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images + (Anjany Sekuboyina)
- An Experience Report on the Optimization of the Product Configuration System of Renault + (Hao Xu)
- Optimization of the Product Configuration System of Renault + (Hao Xu)
- PAIP 2019: Liver Cancer Segmentation Challenge + (Yoo Jung Kim)
- The MIT Lincoln Laboratory 2016 Speaker Recognition System + (Pedro A Torres-Carrasquillo)
- QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation — Analysis of Ranking Scores and Benchmarking Results + (Raghav Mehta)
- VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images + (Anjany Sekuboyina)
- Representation and fusion of heterogeneous fuzzy information in the 3D space for model-based structural recognition—application to 3D brain imaging + (Isabelle Bloch)
- Error correcting code performance for watermark protection + (Jérôme Darbon)
- Spatial reasoning with relative incomplete information on relative positioning + (Réda Dehak)
- Reconnaissance de structures cérébrales à l'aide d'un atlas et par fusion d'informations structurelles floues + (Thierry Géraud)
- Atlas-guided recognition of cerebral structures in MRI using fusion of fuzzy structural information + (Thierry Géraud)
- From Spot 2.0 to Spot 2.10: What's New? + (Alexandre Duret-Lutz)
- Project EFIGI: Automatic classification of galaxies + (Anthony Baillard)
- People/Heru Xue + (Heru Xue)
- Multi-band segmentation using morphological clustering and fusion application to color image segmentation + (Heru Xue)
- Deep Learning for Detection and Segmentation of Artefact and Disease Instances in Gastrointestinal Endoscopy + (Sharib Ali)
- On Robustness for the Skolem and Positivity Problems + (S Akshay)
- Automatic troll farm account detection on Twitter + (Hugo Linsenmaier)
- Détection Automatique de Comptes Troll Farm sur Twitter + (Hugo Linsenmaier)
- Identifying Botnets in the Network using Gaussian Mixture Models + (Hugo Linsenmaier)
- Identification de Botnets à travers le réseau en utilisant les moèles de mélange gaussien + (Hugo Linsenmaier)
- Go2Pins: A Framework for the LTL Verification of Go Programs + (Alexandre Kirszenberg)
- Handling blackbox transitions in go2pins + (Hugo Moreau)
- Gestion des transitions blackbox dans go2pins + (Hugo Moreau)
- Go2Pins: A framework for the LTL verification of Go programs (Extended Version) + (Etienne Renault)
- Periodic Area-of-Motion characterization for Bio-Medical applications + (Élodie Puybareau)