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Eugene Milshteyn

Showing results (11-20 of 30) with videos related to

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IEEE Transactions on Bio-Medical Engineering|November 16, 2022
MARIE 2.0: A Perturbation Matrix Based Patient-Specific MRI Field SimulatorGeorgy D Guryev, Eugene Milshteyn, Ilias I Giannakopoulos, et al.
Journal of Magnetic Resonance (San Diego, Calif. : 1997)|March 24, 2018
Using a local low rank plus sparse reconstruction to accelerate dynamic hyperpolarized <sup>13</sup>C imaging using the bSSFP sequenceEugene Milshteyn, Cornelius von Morze, Galen D Reed, et al.
Pediatric Radiology|February 3, 2026
3D-QALAS synthetic MRI with Zero-DeepSub in children: initial experience including post-contrast imaging feasibilitySuely Fazio Ferraciolli, Yohan Jun, Sergio Valencia, et al.
Magnetic Resonance in Medicine|October 3, 2018
A regional bolus tracking and real-time B<sub>1</sub> calibration method for hyperpolarized <sup>13</sup> C MRIShuyu Tang, Eugene Milshteyn, Galen Reed, et al.
Pediatric Radiology|July 18, 2025
Deep learning reconstruction for improving image quality of pediatric abdomen MRI using a 3D T1 fast spoiled gradient echo acquisitionEvan J Zucker, Eugene Milshteyn, Fedel A Machado-Rivas, et al.
Pediatric Radiology|June 6, 2026
Deep learning reconstruction improves appendix visualization on pediatric magnetic resonance imaging (MRI): a single-center experienceSebastian Gallo-Bernal, Valeria Pena-Trujillo, Navaira Shoaib, et al.
Magnetic Resonance in Medicine|March 14, 2015
Handheld electromagnet carrier for transfer of hyperpolarized carbon-13 samplesHong Shang, Timothy Skloss, Cornelius von Morze, et al.
Journal of Magnetic Resonance (San Diego, Calif. : 1997)|February 15, 2020
Simultaneous T<sub>1</sub> and T<sub>2</sub> mapping of hyperpolarized <sup>13</sup>C compounds using the bSSFP sequenceEugene Milshteyn, Galen D Reed, Jeremy W Gordon, et al.
Clinical Imaging|November 26, 2025
Comparing prostate diffusion weighted images reconstructed with a commercial deep-learning product to a deep learning phase corrected model at 1.5 TRory L Cochran, William R Bradley, Ranjodh S Dhami, et al.
Scientific Reports|February 3, 2018
Non-invasive detection of divergent metabolic signals in insulin deficiency vs. insulin resistance in vivoCornelius von Morze, Prasanna K R Allu, Gene Y Chang, et al.
Pageof 3

Showing results (11-20 of 30) with videos related to

Sort By:
Pageof 3
IEEE Transactions on Bio-Medical Engineering|November 16, 2022
MARIE 2.0: A Perturbation Matrix Based Patient-Specific MRI Field SimulatorGeorgy D Guryev, Eugene Milshteyn, Ilias I Giannakopoulos, et al.
Journal of Magnetic Resonance (San Diego, Calif. : 1997)|March 24, 2018
Using a local low rank plus sparse reconstruction to accelerate dynamic hyperpolarized <sup>13</sup>C imaging using the bSSFP sequenceEugene Milshteyn, Cornelius von Morze, Galen D Reed, et al.
Pediatric Radiology|February 3, 2026
3D-QALAS synthetic MRI with Zero-DeepSub in children: initial experience including post-contrast imaging feasibilitySuely Fazio Ferraciolli, Yohan Jun, Sergio Valencia, et al.
Magnetic Resonance in Medicine|October 3, 2018
A regional bolus tracking and real-time B<sub>1</sub> calibration method for hyperpolarized <sup>13</sup> C MRIShuyu Tang, Eugene Milshteyn, Galen Reed, et al.
Pediatric Radiology|July 18, 2025
Deep learning reconstruction for improving image quality of pediatric abdomen MRI using a 3D T1 fast spoiled gradient echo acquisitionEvan J Zucker, Eugene Milshteyn, Fedel A Machado-Rivas, et al.
Pediatric Radiology|June 6, 2026
Deep learning reconstruction improves appendix visualization on pediatric magnetic resonance imaging (MRI): a single-center experienceSebastian Gallo-Bernal, Valeria Pena-Trujillo, Navaira Shoaib, et al.
Magnetic Resonance in Medicine|March 14, 2015
Handheld electromagnet carrier for transfer of hyperpolarized carbon-13 samplesHong Shang, Timothy Skloss, Cornelius von Morze, et al.
Journal of Magnetic Resonance (San Diego, Calif. : 1997)|February 15, 2020
Simultaneous T<sub>1</sub> and T<sub>2</sub> mapping of hyperpolarized <sup>13</sup>C compounds using the bSSFP sequenceEugene Milshteyn, Galen D Reed, Jeremy W Gordon, et al.
Clinical Imaging|November 26, 2025
Comparing prostate diffusion weighted images reconstructed with a commercial deep-learning product to a deep learning phase corrected model at 1.5 TRory L Cochran, William R Bradley, Ranjodh S Dhami, et al.
Scientific Reports|February 3, 2018
Non-invasive detection of divergent metabolic signals in insulin deficiency vs. insulin resistance in vivoCornelius von Morze, Prasanna K R Allu, Gene Y Chang, et al.
Pageof 3