Reference-Free PRFS MR-Thermometry Using Near-Harmonic 2-D Reconstruction of the Background Phase. - Rares Salomir; Magalie Viallon; Antje Kickhefel; Joerg Roland; Denis R. Morel; Lorena Petrusca; Vincent Auboiroux; Thomas Goget; Sylvain Terraz; Christoph D. Becker; Patrick Gross (IEEE Trans. Medical Imaging, 2012)

Assessment of Cardiac Motion Effects on the Fiber Architecture of the Human Heart In Vivo. - Hongjiang Wei; Magalie Viallon; Bénédicte M. A. Delattre; Lihui Wang 002; Vinay M. Pai; Han Wen; Hui Xue 006; Christoph Guetter; Pierre Croisille; Yuemin Zhu (IEEE Trans. Medical Imaging, 2013)

A Nonparametric Temperature Controller With Nonlinear Negative Reaction for Multi-Point Rapid MR-Guided HIFU Ablation. - Lorena Petrusca; Vincent Auboiroux; Thomas Goget; Magalie Viallon; Arnaud Muller; Patrick Gross; Christoph D. Becker; Rares Salomir (IEEE Trans. Medical Imaging, 2014)

Automated Quantification of Myocardial Infarction Using a Hidden Markov Random Field Model and the EM Algorithm. - Magalie Viallon; Joël Spaltenstein; C. de Bourguignon; C. Vandroux; A. Ammor; W. Romero; Olivier Bernard 001; Pierre Croisille; Patrick Clarysse (FIMH, 2015)

Prediction of the Biomechanical Effects of Compression Therapy by Finite Element Modeling and Ultrasound Elastography. - Fanny Frauziols; Jérôme Molimard; Laurent Navarro; Pierre Badel; Magalie Viallon; Rodolphe Testa; Stephane Avril (IEEE Trans. Biomed. Eng., 2015)

Free-Breathing Diffusion Tensor Imaging and Tractography of the Human Heart in Healthy Volunteers Using Wavelet-Based Image Fusion. - Hongjiang Wei; Magalie Viallon; Bénédicte M. A. Delattre; Kevin Moulin; Feng Yang 010; Pierre Croisille; Yue Min Zhu (IEEE Trans. Medical Imaging, 2015)

Time samples selection in spiral acquisition for sparse magnetic resonance spectroscopic imaging. - Jabrane Karkouri; Fabien Millioz; Magalie Viallon; Rémy Prost; Hélène Ratiney (ICIP, 2017)

Automatic myocardial ischemic lesion detection on magnetic resonance perfusion weighted imaging prior perfusion quantification: A pre-modeling strategy. - Clément Daviller; Thomas Grenier; Hélène Ratiney; Michaël Sdika; Pierre Croisille; Magalie Viallon (Comput. Biol. Medicine, 2019)

Corrigendum to "Automatic myocardial ischemic lesion detection on magnetic resonance perfusion weighted imaging prior perfusion quantification: A pre-modeling strategy" [Comput. Biol. Med. 110 (2019) 108-119]. - Clément Daviller; Thomas Grenier; Hélène Ratiney; Michaël Sdika; Pierre Croisille; Magalie Viallon (Comput. Biol. Medicine, 2019)

Relationship Between Ascending Thoracic Aortic Aneurysms Hemodynamics and Biomechanical Properties. - Francesca Condemi; Salvatore Campisi; Magalie Viallon; Pierre Croisille; Stéphane Avril (IEEE Trans. Biomed. Eng., 2020)

Characterizing Myocardial Ischemia and Reperfusion Patterns with Hierarchical Manifold Learning. - Benoît Freiche; Patrick Clarysse; Magalie Viallon; Pierre Croisille; Nicolas Duchateau (STACOM@MICCAI, 2021)

Coupling hemodynamics with mechanobiology in patient-specific computational models of ascending thoracic aortic aneurysms. - Seyed Jamaleddin Mousavi; Raja Jayendiran; Solmaz Farzaneh; Salvatore Campisi; Magalie Viallon; Pierre Croisille; Stéphane Avril (Comput. Methods Programs Biomed., 2021)

Time Undersampled Acquisition for Multidimensional Sparse Signals With Application to Magnetic Resonance Spectroscopic Imaging. - Jabrane Karkouri; Hélène Ratiney; Magalie Viallon; Rémy Prost; Fabien Millioz (IEEE Trans. Signal Process., 2021)

Deep blind arterial input function: signal correction in perfusion cardiac magnetic resonance. - Habib Rebbah; Magalie Viallon; Pierre Croisille; Timothé Boutelier (MIDL, 2024)

Myocardial T1 mapping using an instantaneous signal loss simulation modeling and a Bayesian estimation method: A robust T1 extraction method free of tuning parameters. - Timothé Boutelier; Habib Rebbah; Kevin Tse-Ve-Koon; Romain Pastre; Pierre Croisille; Magalie Viallon (Comput. Biol. Medicine, 2024)

Comparison of synthetic LGE with optimal inversion time vs. conventional LGE via representation learning: Quantification of Bias in Population Analysis. - Romain Deleat-Besson; Magalie Viallon; Lorena Petrusca; Pierre Croisille; Nicolas Duchateau (Comput. Biol. Medicine, 2025)