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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

• Left Atrial Segmentation In a Few Seconds Using Fully Convolutional Network and Transfer Learning  + (Élodie Puybareau)
• Olena Publications  + (Edwin Carlinet)
• A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images  + (Zhou Zhao)
• FOANet: A Focus of Attention Network with Application to Myocardium Segmentation  + (Zhou Zhao)
• Do not Treat Boundaries and Regions Differently: An Example on Heart Left Atrial Segmentation  + (Zhou Zhao)
• Multi-purpose Tactile Perception Based on Deep Learning in a New Tendon-driven Optical Tactile Sensor  + (Zhou Zhao)
• Stacked and parallel U-nets with multi-output for myocardial pathology segmentation  + (Zhou Zhao)
• PAIP 2019: Liver Cancer Segmentation Challenge  + (Yoo Jung Kim)
• Jobs/PHD 2019 LDL  + ([https://www.lrde.epita.fr/~adl Alexandre Duret-Lutz])
• VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images  + (Anjany Sekuboyina)

• A translational pathway of deep learning methods in Gastro-Intestinal Endoscopy  + (others)

• A first step toward a fair comparison of evaluation protocols for text detection algorithms  + (Aliona Dangla)
• Real-Time Document Detection in Smartphone Videos  + (Élodie Puybareau)
• 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)
• Periodic Area-of-Motion characterization for Bio-Medical applications  + (Élodie Puybareau)
• Real-Time Document Detection in Smartphone Videos  + (Élodie Puybareau)
• 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)
• Caractérisation des zones de mouvement périodiques pour applications bio-médicales  + (Élodie Puybareau)
• White Matter Hyperintensities Segmentation In a Few Seconds Using Fully Convolutional Network and Transfer Learning  + (Yongchao Xu)
• Morphological Analysis of Brownian Motion for Physical Measurements  + (Élodie Puybareau)
• Olena Publications  + (Edwin Carlinet)
• Left Atrial Segmentation In a Few Seconds Using Fully Convolutional Network and Transfer Learning  + (Élodie Puybareau)
• Segmentation of Gliomas and Prediction of Patient Overall Survival: A Simple and Fast Procedure  + (Élodie Puybareau)
• High Throughput Automated Detection of Axial Malformations in Medaka Embryo  + (Diane Genest)
• Spherical fluorescent particle segmentation and tracking in 3D confocal microscopy  + (Élodie Puybareau)
• Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities: Results of the WMH Segmentation Challenge  + (H J Kuijf)
• Benchmark on Automatic 6-month-old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge  + (Li Wang)
• A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images  + (Zhou Zhao)
• Using Separated Inputs for Multimodal Brain Tumor Segmentation with 3D U-Net-like Architectures  + (Nicolas Boutry)
• FOANet: A Focus of Attention Network with Application to Myocardium Segmentation  + (Zhou Zhao)
• Do not Treat Boundaries and Regions Differently: An Example on Heart Left Atrial Segmentation  + (Zhou Zhao)
• Two Stages CNN-Based Segmentation of GliomasUncertainty Quantification and Prediction of Overall Patient Survival  + (Thibault Buatois)
• Going beyond p-convolutions to learn grayscale morphological operators  + (Alexandre Kirszenberg)
• PAIP 2019: Liver Cancer Segmentation Challenge  + (Yoo Jung Kim)
• A Global Benchmark of Algorithms for Segmenting the Left Atrium from Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging  + (Zhaohan Xiong)
• On Some Associations Between Mathematical Morphology and Artificial Intelligence  + (Isabelle Bloch)