Simona Bottani

Orcid: 0000-0001-6801-0748

According to our database1, Simona Bottani authored at least 21 papers between 2018 and 2024.

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

2024
Contrast-enhanced to non-contrast-enhanced image translation to exploit a clinical data warehouse of T1-weighted brain MRI.
BMC Medical Imaging, December, 2024

Automatic motion artefact detection in brain T1-weighted magnetic resonance images from a clinical data warehouse using synthetic data.
Medical Image Anal., 2024

Automated MRI Quality Assessment of Brain T1-weighted MRI in Clinical Data Warehouses: A Transfer Learning Approach Relying on Artefact Simulation.
CoRR, 2024

2023
Evaluation of MRI-based machine learning approaches for computer-aided diagnosis of dementia in a clinical data warehouse.
Medical Image Anal., October, 2023

Transfer learning from synthetic to routine clinical data for motion artefact detection in brain T1-weighted MRI.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

Simulation based evaluation framework for deep learning unsupervised anomaly detection on brain FDG-PET.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

2022
Machine learning for neuroimaging using a very large scale clinical datawarehouse. (Apprentissage automatique pour la neuro-imagerie à l'aide d'un entrepôt de données cliniques à très grande échelle).
PhD thesis, 2022

Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse.
Medical Image Anal., 2022

Homogenization of brain MRI from a clinical data warehouse using contrast-enhanced to non-contrast-enhanced image translation with U-Net derived models.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

2021
Gaussian Graphical Model Exploration and Selection in High Dimension Low Sample Size Setting.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

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

Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review.
Medical Image Anal., 2021

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

Deep learning for brain disorders: from data processing to disease treatment.
Briefings Bioinform., 2021

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

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


  Loading...