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Carole Lazarus

Showing results (1-10 of 9) with videos related to

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Biophysical Journal|July 23, 2015
Torsional behavior of axonal microtubule bundlesCarole Lazarus, Mohammad Soheilypour, Mohammad R K Mofrad
Magnetic Resonance Imaging|July 24, 2018
An empirical study of the maximum degree of undersampling in compressed sensing for T<sub>2</sub><sup>*</sup>-weighted MRICarole Lazarus, Pierre Weiss, Alexandre Vignaud, et al.
Frontiers in Radiology|November 10, 2025
Integrating clinical indications and patient demographics for multilabel abnormality classification and automated report generation in 3D chest CT scansTheo Di Piazza, Carole Lazarus, Olivier Nempont, et al.
The Journal of the Acoustical Society of America|December 3, 2017
Clustering dynamics of microbubbles exposed to low-pressure 1-MHz ultrasoundCarole Lazarus, Antonios N Pouliopoulos, Marc Tinguely, et al.
Insights Into Imaging|February 15, 2026
Transforming a clinical study database into a structured database adapted to artificial intelligence applicationsThibault Sauron, Carole Lazarus, Camille Kurtz, et al.
NMR in Biomedicine|July 3, 2020
3D variable-density SPARKLING trajectories for high-resolution T2*-weighted magnetic resonance imagingCarole Lazarus, Pierre Weiss, Loubna El Gueddari, et al.
Magnetic Resonance in Medicine|February 19, 2019
SPARKLING: variable-density k-space filling curves for accelerated T<sub>2</sub><sup>*</sup> -weighted MRICarole Lazarus, Pierre Weiss, Nicolas Chauffert, et al.
Diagnostic and Interventional Imaging|January 21, 2023
Synthetic MR image generation of macrotrabecular-massive hepatocellular carcinoma using generative adversarial networksVincent Couteaux, Cheng Zhang, Sébastien Mulé, et al.
Diagnostic and Interventional Imaging|January 23, 2024
Detection and severity quantification of pulmonary embolism with 3D CT data using an automated deep learning-based artificial solutionAissam Djahnine, Carole Lazarus, Mathieu Lederlin, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Biophysical Journal|July 23, 2015
Torsional behavior of axonal microtubule bundlesCarole Lazarus, Mohammad Soheilypour, Mohammad R K Mofrad
Magnetic Resonance Imaging|July 24, 2018
An empirical study of the maximum degree of undersampling in compressed sensing for T<sub>2</sub><sup>*</sup>-weighted MRICarole Lazarus, Pierre Weiss, Alexandre Vignaud, et al.
Frontiers in Radiology|November 10, 2025
Integrating clinical indications and patient demographics for multilabel abnormality classification and automated report generation in 3D chest CT scansTheo Di Piazza, Carole Lazarus, Olivier Nempont, et al.
The Journal of the Acoustical Society of America|December 3, 2017
Clustering dynamics of microbubbles exposed to low-pressure 1-MHz ultrasoundCarole Lazarus, Antonios N Pouliopoulos, Marc Tinguely, et al.
Insights Into Imaging|February 15, 2026
Transforming a clinical study database into a structured database adapted to artificial intelligence applicationsThibault Sauron, Carole Lazarus, Camille Kurtz, et al.
NMR in Biomedicine|July 3, 2020
3D variable-density SPARKLING trajectories for high-resolution T2*-weighted magnetic resonance imagingCarole Lazarus, Pierre Weiss, Loubna El Gueddari, et al.
Magnetic Resonance in Medicine|February 19, 2019
SPARKLING: variable-density k-space filling curves for accelerated T<sub>2</sub><sup>*</sup> -weighted MRICarole Lazarus, Pierre Weiss, Nicolas Chauffert, et al.
Diagnostic and Interventional Imaging|January 21, 2023
Synthetic MR image generation of macrotrabecular-massive hepatocellular carcinoma using generative adversarial networksVincent Couteaux, Cheng Zhang, Sébastien Mulé, et al.
Diagnostic and Interventional Imaging|January 23, 2024
Detection and severity quantification of pulmonary embolism with 3D CT data using an automated deep learning-based artificial solutionAissam Djahnine, Carole Lazarus, Mathieu Lederlin, et al.
Pageof 1