Nassir Marrouche

According to our database1, Nassir Marrouche authored at least 15 papers between 2012 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
FBA-Net: Foreground and Background Aware Contrastive Learning for Semi-Supervised Atrium Segmentation.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023

2022
Benchmarking off-the-shelf statistical shape modeling tools in clinical applications.
Medical Image Anal., 2022

2020
Benchmarking off-the-shelf statistical shape modeling tools in clinical applications.
CoRR, 2020

An Image-based Approach for 3D Left Atrium Functional Measurements.
Proceedings of the Computing in Cardiology, 2020

2019
Towards Automated Quantification of Atrial Fibrosis in Images from Catheterized Fiber-Optics Confocal Microscopy Using Convolutional Neural Networks.
Proceedings of the Functional Imaging and Modeling of the Heart, 2019

Efficient Segmentation Pipeline Using Diffeomorphic Image Registration: A Validation Study.
Proceedings of the 46th Computing in Cardiology, 2019

Interatrial Septum and Appendage Ostium in Atrial Fibrillation Patients: A Population Study.
Proceedings of the 46th Computing in Cardiology, 2019

Does Alignment in Statistical Shape Modeling of Left Atrium Appendage Impact Stroke Prediction?
Proceedings of the 46th Computing in Cardiology, 2019

2018
Mixture Modeling of Global Shape Priors and Autoencoding Local Intensity Priors for Left Atrium Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018

On the Evaluation and Validation of Off-the-Shelf Statistical Shape Modeling Tools: A Clinical Application.
Proceedings of the Shape in Medical Imaging, 2018

Interactive Exploration of Left Atrium Population-Level Morphology in Atrial Fibrillation Patients.
Proceedings of the Computing in Cardiology, 2018

Deep Learning for End-to-End Atrial Fibrillation Recurrence Estimation.
Proceedings of the Computing in Cardiology, 2018

2014
A Practical Algorithm for Improving Localization and Quantification of Left Ventricular Scar.
Proceedings of the Computing in Cardiology, CinC 2014, 2014

Controlled Activation for Interrogation of the Electrophysiological Substrate.
Proceedings of the Computing in Cardiology, CinC 2014, 2014

2012
Subject specific, image based analysis and modeling in patients with atrial fibrillation from MRI.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012


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