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2020 – today
- 2023
[c8]Sandra Martin, Amira Trabelsi, Rémi Andre, Julien Wojak, Etienne Fortanier, Shahram Attatian, Maxime Guye, Marc Dubois, Redha Abdeddaim, David Bendahan:
Implementation of deep learning algorithms for automatic MRI segmentation and fat fraction quantification in individual muscles. Image Processing 2023- 2022
- [j4]Rania Trigui, Mouloud Adel, Mathieu Di Bisceglie
, Julien Wojak, Jessica Pinol, Alice Faure, Kathia Chaumoitre:
Bladder Wall Segmentation and Characterization on MR Images: Computer-Aided Spina Bifida Diagnosis. J. Imaging 8(6): 151 (2022) - [c7]Kamilia Taguelmimt, Julien Wojak, Mouloud Adel:
Blood Potassium Concentration Estimation on Electrocardiogram Signals Using Machine Learning Techniques. ICFSP 2022: 114-119 - [c6]Rania Trigui, Mouloud Adel, Mathieu Di Bisceglie, Julien Wojak, Jessica Pinol, Alice Faure, Kathia Chaumoitre:
Comparison of GWO-SVM and Random Forest Classifiers in a LevelSet based approach for Bladder wall segmentation and characterisation using MR images. IPTA 2022: 1-6 - [c5]Armando Garcia Hernandez, Pierre Fau, Stanislas Rapacchi, Julien Wojak, Hugues Mailleux, Mohamed Benkreira, Mouloud Adel:
Generation of synthetic CT with Deep Learning for Magnetic Resonance Guided Radiotherapy. SITIS 2022: 368-371 - 2021
- [j3]Xiaoxi Pan, Trong-Le Phan, Mouloud Adel, Caroline Fossati, Thierry Gaidon, Julien Wojak, Eric Guedj:
Multi-View Separable Pyramid Network for AD Prediction at MCI Stage by 18F-FDG Brain PET Imaging. IEEE Trans. Medical Imaging 40(1): 81-92 (2021) - [c4]Armando Garcia Hernandez, Pierre Fau, Stanislas Rapacchi, Julien Wojak, Hugues Mailleux, Mohamed Benkreira, Mouloud Adel:
Improving Image Quality In Low-Field MRI With Deep Learning. ICIP 2021: 260-263
2010 – 2019
- 2019
- [j2]Xiaoxi Pan, Mouloud Adel, Caroline Fossati, Thierry Gaidon, Julien Wojak, Eric Guedj:
Multiscale spatial gradient features for 18F-FDG PET image-guided diagnosis of Alzheimer's disease. Comput. Methods Programs Biomed. 180 (2019) - [c3]Xiaoxi Pan, Mouloud Adel, Caroline Fossati, Thierry Gaidon, Julien Wojak, Eric Guedj:
First and Second Order Gradients for Alzheimer's Disease Diagnosis. ICFSP 2019: 95-99 - 2016
- [j1]Didier Vibert, Christelle Peillon, Philippe Lamy, Richard A. Frazin, Julien Wojak:
Time-dependent tomographic reconstruction of the solar corona. Astron. Comput. 17: 144-162 (2016) - 2010
- [b1]Julien Wojak:
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). Télécom ParisTech, France, 2010 - [c2]Julien Wojak, Elsa D. Angelini, Isabelle Bloch:
Joint variational segmentation of CT-PET data for tumoral lesions. ISBI 2010: 217-220 - [c1]Julien Wojak, Elsa D. Angelini, Isabelle Bloch:
Introducing Shape Constraint Via Legendre Moments in a Variational Framework for Cardiac Segmentation on Non-contrast CT Images. VISAPP (2) 2010: 209-214
Coauthor Index
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