Julien Wojak

According to our database, Julien Wojak authored at least 13 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Implementation of deep learning algorithms for automatic MRI segmentation and fat fraction quantification in individual muscles.

Sandra Martin, Amira Trabelsi, Rémi Andre, Julien Wojak, Etienne Fortanier, Shahram Attatian, Maxime Guye, Marc Dubois, Redha Abdeddaim, David Bendahan

Proceedings of the Medical Imaging 2023: Image Processing, 2023

2022

Bladder Wall Segmentation and Characterization on MR Images: Computer-Aided Spina Bifida Diagnosis.

Rania Trigui, Mouloud Adel, Mathieu Di Bisceglie, Julien Wojak, Jessica Pinol, Alice Faure, Kathia Chaumoitre

J. Imaging, 2022

Generation of synthetic CT with Deep Learning for Magnetic Resonance Guided Radiotherapy.

Armando Garcia Hernandez, Pierre Fau, Stanislas Rapacchi, Julien Wojak, Hugues Mailleux, Mohamed Benkreira, Mouloud Adel

Proceedings of the 16th International Conference on Signal-Image Technology & Internet-Based Systems, 2022

Comparison of GWO-SVM and Random Forest Classifiers in a LevelSet based approach for Bladder wall segmentation and characterisation using MR images.

Rania Trigui, Mouloud Adel, Mathieu Di Bisceglie, Julien Wojak, Jessica Pinol, Alice Faure, Kathia Chaumoitre

Proceedings of the Eleventh International Conference on Image Processing Theory, 2022

Blood Potassium Concentration Estimation on Electrocardiogram Signals Using Machine Learning Techniques.

Kamilia Taguelmimt, Julien Wojak, Mouloud Adel

Proceedings of the 7th International Conference on Frontiers of Signal Processing, 2022

2021

Multi-View Separable Pyramid Network for AD Prediction at MCI Stage by ¹⁸F-FDG Brain PET Imaging.

Xiaoxi Pan, Trong-Le Phan, Mouloud Adel, Caroline Fossati, Thierry Gaidon, Julien Wojak, Eric Guedj

IEEE Trans. Medical Imaging, 2021

Improving Image Quality In Low-Field MRI With Deep Learning.

Armando Garcia Hernandez, Pierre Fau, Stanislas Rapacchi, Julien Wojak, Hugues Mailleux, Mohamed Benkreira, Mouloud Adel

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2019

Multiscale spatial gradient features for ¹⁸F-FDG PET image-guided diagnosis of Alzheimer's disease.

Xiaoxi Pan, Mouloud Adel, Caroline Fossati, Thierry Gaidon, Julien Wojak, Eric Guedj

Comput. Methods Programs Biomed., 2019

First and Second Order Gradients for Alzheimer's Disease Diagnosis.

Xiaoxi Pan, Mouloud Adel, Caroline Fossati, Thierry Gaidon, Julien Wojak, Eric Guedj

Proceedings of the 5th International Conference on Frontiers of Signal Processing, 2019

2016

Time-dependent tomographic reconstruction of the solar corona.

Didier Vibert, Christelle Peillon, Philippe Lamy, Richard A. Frazin, Julien Wojak

Astron. Comput., 2016

2010

Analyse d'images multi-modales TEP-TDM du thorax. Application à l'oncologie : segmentation de tumeurs, d'organes à risque et suivi longitudinal pour la radiothérapie. (Segmentation of thoracic organs in CT volumes and lung tumors segmentation in the dual modalities PET/CT).

Julien Wojak

PhD thesis, 2010

Introducing Shape Constraint Via Legendre Moments in a Variational Framework for Cardiac Segmentation on Non-contrast CT Images.

Julien Wojak, Elsa D. Angelini, Isabelle Bloch

Proceedings of the VISAPP 2010 - Proceedings of the Fifth International Conference on Computer Vision Theory and Applications, Angers, France, May 17-21, 2010, 2010

Joint variational segmentation of CT-PET data for tumoral lesions.

Julien Wojak, Elsa D. Angelini, Isabelle Bloch

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010