Search by property
This page provides a simple browsing interface for finding entities described by a property and a named value. Other available search interfaces include the page property search, and the ask query builder.
List of results
- Optimization of the Product Configuration System of Renault + (Hao Xu)
- An Experience Report on the 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)
- 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)
- VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images + (Anjany Sekuboyina)
- Deep Learning for Detection and Segmentation of Artefact and Disease Instances in Gastrointestinal Endoscopy + (Sharib Ali)
- QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation — Analysis of Ranking Scores and Benchmarking Results + (Raghav Mehta)
- 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)
- Algorithms for Mathematical Morphology + (Hugues Talbot)
- Caractérisation des zones de mouvement périodiques pour applications bio-médicales + (Hugues Talbot)
- High Throughput Automated Detection of Axial Malformations in Medaka Embryo + (Hugues Talbot)
- High throughput automated detection of axial malformations in fish embryo + (Hugues Talbot)
- Morphological Analysis of Brownian Motion for Physical Measurements + (Hugues Talbot)
- Morphologie et algorithmes + (Hugues Talbot)
- Olena Publications + (Hugues Talbot)
- Periodic Area-of-Motion characterization for Bio-Medical applications + (Hugues Talbot)
- Spherical fluorescent particle segmentation and tracking in 3D confocal microscopy + (Hugues Talbot)
- Using Separated Inputs for Multimodal Brain Tumor Segmentation with 3D U-Net-like Architectures + (Hugues Talbot)
- PAIP 2019: Liver Cancer Segmentation Challenge + (Yoo Jung Kim)
- Past People + (Yann Jacquelet)
- The Challenge of Cerebral Magnetic Resonance Imaging in Neonates: A New Method using Mathematical Morphology for the Segmentation of Structures Including Diffuse Excessive High Signal Intensities + (Yongchao Xu)
- Learning Diversity Attributes in Multi-Session Recommendations + (Nassim Bouarour)
- People/Ignacy Gawedzki + (Ignacy Gawedzki)
- On a Polynomial Vector Field Model for Shape Representation + (Mickael Chekroun)
- QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation — Analysis of Ranking Scores and Benchmarking Results + (Raghav Mehta)
- Residual 3D U-Net with Localization for Brain Tumor Segmentation + (Marc Demoustier)
- Deep Learning for Detection and Segmentation of Artefact and Disease Instances in Gastrointestinal Endoscopy + (Sharib Ali)
- Fusion of spatial relationships for guiding recognitionexample of brain structure recognition in 3D MRI + (Isabelle Bloch)
- Representation and fusion of heterogeneous fuzzy information in the 3D space for model-based structural recognition—application to 3D brain imaging + (Isabelle Bloch)
- Spatial reasoning with relative incomplete information on relative positioning + (Réda Dehak)
- A Challenging Issue: Detection of White Matter Hyperintensities in Neonatal Brain MRI + (Baptiste Morel)
- Local reasoning in fuzzy attribute graphs for optimizing sequential segmentation + (Geoffroy Fouquier)
- Segmentation des hyperintensités de la matière blanche en quelques secondes à l'aide d'un réseau de neurones convolutif et de transfert d'apprentissage + (Élodie Puybareau)
- 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)
- White Matter Hyperintensities Segmentation In a Few Seconds Using Fully Convolutional Network and Transfer Learning + (Yongchao Xu)
- Segmentation d'IRM de cerveaux de nouveau-nés en quelques secondes à l'aide d'un réseau de neurones convolutif pseudo-3D et de transfert d'apprentissage + (Yongchao Xu)
- From Neonatal to Adult Brain MR Image Segmentation in a Few Seconds Using 3D-Like Fully Convolutional Network and Transfer Learning + (Yongchao Xu)