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List of results
- A Global Benchmark of Algorithms for Segmenting the Left Atrium from Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging +
- A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images +
- A first step toward a fair comparison of evaluation protocols for text detection algorithms +
- Benchmark on Automatic 6-month-old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge +
- Caractérisation des zones de mouvement périodiques pour applications bio-médicales +
- Do not Treat Boundaries and Regions Differently: An Example on Heart Left Atrial Segmentation +
- FOANet: A Focus of Attention Network with Application to Myocardium Segmentation +
- Going beyond p-convolutions to learn grayscale morphological operators +
- High Throughput Automated Detection of Axial Malformations in Medaka Embryo +
- Learning Grayscale Mathematical Morphology with Smooth Morphological Layers +
- Left Atrial Segmentation In a Few Seconds Using Fully Convolutional Network and Transfer Learning +
- Morphological Analysis of Brownian Motion for Physical Measurements +
- Olena Publications +
- On Some Associations Between Mathematical Morphology and Artificial Intelligence +
- PAIP 2019: Liver Cancer Segmentation Challenge +
- Periodic Area-of-Motion characterization for Bio-Medical applications +
- Real-Time Document Detection in Smartphone Videos +
- Real-Time Document Detection in Smartphone Videos +
- Segmentation des hyperintensités de la matière blanche en quelques secondes à l'aide d'un réseau de neurones convolutif et de transfert d'apprentissage +
- Segmentation of Gliomas and Prediction of Patient Overall Survival: A Simple and Fast Procedure +
- Spherical fluorescent particle segmentation and tracking in 3D confocal microscopy +
- Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities: Results of the WMH Segmentation Challenge +
- 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 +
- Two Stages CNN-Based Segmentation of GliomasUncertainty Quantification and Prediction of Overall Patient Survival +
- Using Separated Inputs for Multimodal Brain Tumor Segmentation with 3D U-Net-like Architectures +
- VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images +
- White Matter Hyperintensities Segmentation In a Few Seconds Using Fully Convolutional Network and Transfer Learning +