Jorge Samper-González

According to our database1, Jorge Samper-González authored at least 14 papers between 2017 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2021
Reproducible Evaluation of Diffusion MRI Features for Automatic Classification of Patients with Alzheimer's Disease.
Neuroinformatics, 2021

Clinica: An Open-Source Software Platform for Reproducible Clinical Neuroscience Studies.
Frontiers Neuroinformatics, 2021

2020
Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation.
Medical Image Anal., 2020

Accuracy of MRI Classification Algorithms in a Tertiary Memory Center Clinical Routine Cohort.
CoRR, 2020

2019
Learning from multimodal data for classification and prediction of Alzheimer's disease. (Apprentissage à partir de données multimodales pour la classification et la prédiction de la maladie d'Alzheimer).
PhD thesis, 2019

Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation.
CoRR, 2019

Reproducible evaluation of methods for predicting progression to Alzheimer's disease from clinical and neuroimaging data.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

2018
Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data.
NeuroImage, 2018

An Automated Pipeline for the Analysis of PET Data on the Cortical Surface.
Frontiers Neuroinformatics, 2018

Reproducible evaluation of diffusion MRI features for automatic classification of patients with Alzheimers disease.
CoRR, 2018

Reproducible evaluation of classification methods in Alzheimer's disease: framework and application to MRI and PET data.
CoRR, 2018

2017
Yet Another ADNI Machine Learning Paper? Paving the Way Towards Fully-Reproducible Research on Classification of Alzheimer's Disease.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Individual Analysis of Molecular Brain Imaging Data Through Automatic Identification of Abnormality Patterns.
Proceedings of the Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, 2017

Prediction of the Progression of Subcortical Brain Structures in Alzheimer's Disease from Baseline.
Proceedings of the Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 2017


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