Laurent Gajny

Orcid: 0000-0002-2775-0106

According to our database1, Laurent Gajny authored at least 13 papers between 2013 and 2024.

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

Timeline

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PhD thesis 
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Bibliography

2024
comparison of two models to predict vertebral failure loads on the same experimental dataset.
CoRR, 2024

2022
Effect of Face Blurring on Human Pose Estimation: Ensuring Subject Privacy for Medical and Occupational Health Applications.
Sensors, 2022

2020
Quasi-automated reconstruction of the femur from bi-planar X-rays.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020

3D reconstruction of adolescent scoliotic trunk shape from biplanar X-rays: a feasibility study.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020

A convolutional neural network to detect scoliosis treatment in radiographs.
Int. J. Comput. Assist. Radiol. Surg., 2020

2019
Vertebral corners detection on sagittal X-rays based on shape modelling, random forest classifiers and dedicated visual features.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2019

Automatic Segmentation and Identification of Spinous Processes on Sagittal X-Rays Based on Random Forest Classification and Dedicated Contextual Features.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
L 1 spline fits via sliding window process: continuous and discrete cases.
Numer. Algorithms, 2018

2017
Best L 1 approximation of Heaviside-type functions from Chebyshev and weak-Chebyshev spaces.
Numer. Algorithms, 2017

2016
Lumbar spine posterior corner detection in X-rays using Haar-based features.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
Approximation de fonctions et de données discrètes au sens de la norme L1 par splines polynomiales. (Function and data approximation in L1 norm by polynomial splines).
PhD thesis, 2015

2014
L 1 C 1 polynomial spline approximation algorithms for large data sets.
Numer. Algorithms, 2014

2013
Fast Polynomial Spline Approximation for Large Scattered Data Sets via L 1 Minimization.
Proceedings of the Geometric Science of Information - First International Conference, 2013


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