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Items where Division is "03 Faculty of Medicine > Departement Biomedical Engineering > Imaging and Computational Modelling > Adaptable MRI Technology (Salameh)"

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Jump to: 2022 | 2021
Number of items at this level: 10.

2022

Ayde, Reina and Senft, Tobias and Salameh, Najat and Sarracanie, Mathieu. (2022) Deep learning for fast low-field MRI acquisitions. Scientific reports, 12 (1). p. 11394.

Salameh, Najat and Norris, David G. and Webb, Andrew. (2022) Correction to: Report on the hot topic debate at ESMRMB 2021. Magma (New York, N.Y.), 35 (2). p. 343.

Tardieu, Marion and Salameh, Najat and Souris, Line and Rousseau, David and Jourdain, Laurene and Skeif, Hanadi and Prevot, Francois and de Rochefort, Ludovic and Ducreux, Denis and Louis, Bruno and Garteiser, Philippe and Sinkus, Ralph and Darrasse, Luc and Poirier-Quinot, Marie and Maitre, Xavier. (2022) Magnetic resonance elastography with guided pressure waves. NMR IN BIOMEDICINE, 35 (7). ARTN e4701.

Yushchenko, Maksym and Sarracanie, Mathieu and Salameh, Najat. (2022) Fast acquisition of propagating waves in humans with low-field MRI: Toward accessible MR elastography. Science advances, 8 (36). eabo5739.

2021

Deneuville, Jean-Philippe and Yushchenko, Maksym and Vendeuvre, Tanguy and Germaneau, Arnaud and Billot, Maxime and Roulaud, Manuel and Sarracanie, Mathieu and Salameh, Najat and Rigoard, Philippe. (2021) Quantitative MRI to Characterize the Nucleus Pulposus Morphological and Biomechanical Variation According to Sagittal Bending Load and Radial Fissure, an ex vivo Ovine Specimen Proof-of-Concept Study. FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, 9. ARTN 676003.

Quirin, Thomas and Fery, Corentin and Vogel, Dorian and Vergne, Celine and Sarracanie, Mathieu and Salameh, Najat and Madec, Morgan and Hemm, Simone and Hebrard, Luc and Pascal, Joris. (2021) Towards Tracking of Deep Brain Stimulation Electrodes Using an Integrated Magnetometer. SENSORS, 21 (8). ARTN 2670.

Salemeh, Najat and Norris, David G. and Webb, Andrew. (2021) Report on the hot topic debate at ESMRMB 2021. Magma (New York, N.Y.), 34 (6). pp. 775-778.

Senft, Tobias. Deep Learning for Reconstruction of Subsampled Low-Field MRI. 2021, Master Thesis, University of Basel, Faculty of Medicine.

Yushchenko, Maksym. Tools and methods for low-field MR imaging and elastography. 2021, Doctoral Thesis, University of Basel, Faculty of Medicine.

Yushchenko, Maksym and Sarracanie, Mathieu and Amann, Michael and Sinkus, Ralph and Wuerfel, Jens and Salameh, Najat. (2021) Elastography Validity Criteria Definition Using Numerical Simulations and MR Acquisitions on a Low-Cost Structured Phantom. FRONTIERS IN PHYSICS, 9. ARTN 620331.

This list was generated on Mon Feb 6 12:12:44 2023 CET.