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Simon Arberet

Showing results (1-10 of 16) with videos related to

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IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|September 18, 2013
Compressive source separation: theory and methods for hyperspectral imagingMohammad Golbabaee, Simon Arberet, Pierre Vandergheynst
Medical Physics|January 14, 2026
Single shot full plan deep learning dose computation for radiation therapy using spherical harmonicsMartin F Kraus, Riqiang Gao, Simon Arberet, et al.
European Radiology|May 7, 2021
Accelerated single-shot T2-weighted fat-suppressed (FS) MRI of the liver with deep learning-based image reconstruction: qualitative and quantitative comparison of image quality with conventional T2-weighted FS sequenceKrishna Shanbhogue, Angela Tong, Paul Smereka, et al.
Medical Physics|February 12, 2025
Beam's eye view to fluence maps 3D network for ultra fast VMAT radiotherapy planningSimon Arberet, Florin C Ghesu, Riqiang Gao, et al.
Radiation Oncology (London, England)|December 16, 2025
Sharing a flexible urethral sparing SBRT prostate RapidPlan model and quantifying plan quality via dosimetric scorecard with clinical implementationJonathan Sackett, Anthony Magliari, Ryan Clark, et al.
European Radiology|May 15, 2023
Deep learning HASTE sequence compared with T2-weighted BLADE sequence for liver MRI at 3 Tesla: a qualitative and quantitative prospective studyPierre Wary, Gabriela Hossu, Khalid Ambarki, et al.
Magnetic Resonance Imaging|June 22, 2021
A parallel spatial and Bloch manifold regularized iterative reconstruction method for MR FingerprintingSimon Arberet, Xiao Chen, Boris Mailhé, et al.
Investigative Radiology|September 12, 2021
Analysis of a Deep Learning-Based Superresolution Algorithm Tailored to Partial Fourier Gradient Echo Sequences of the Abdomen at 1.5 T: Reduction of Breath-Hold Time and Improvement of Image QualitySaif Afat, Daniel Wessling, Carmen Afat, et al.
Investigative Radiology|November 19, 2020
Diagnostic Confidence and Feasibility of a Deep Learning Accelerated HASTE Sequence of the Abdomen in a Single Breath-HoldJudith Herrmann, Sebastian Gassenmaier, Dominik Nickel, et al.
Investigative Radiology|May 9, 2021
Development and Evaluation of Deep Learning-Accelerated Single-Breath-Hold Abdominal HASTE at 3 T Using Variable Refocusing Flip AnglesJudith Herrmann, Dominik Nickel, John P Mugler, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|September 18, 2013
Compressive source separation: theory and methods for hyperspectral imagingMohammad Golbabaee, Simon Arberet, Pierre Vandergheynst
Medical Physics|January 14, 2026
Single shot full plan deep learning dose computation for radiation therapy using spherical harmonicsMartin F Kraus, Riqiang Gao, Simon Arberet, et al.
European Radiology|May 7, 2021
Accelerated single-shot T2-weighted fat-suppressed (FS) MRI of the liver with deep learning-based image reconstruction: qualitative and quantitative comparison of image quality with conventional T2-weighted FS sequenceKrishna Shanbhogue, Angela Tong, Paul Smereka, et al.
Medical Physics|February 12, 2025
Beam's eye view to fluence maps 3D network for ultra fast VMAT radiotherapy planningSimon Arberet, Florin C Ghesu, Riqiang Gao, et al.
Radiation Oncology (London, England)|December 16, 2025
Sharing a flexible urethral sparing SBRT prostate RapidPlan model and quantifying plan quality via dosimetric scorecard with clinical implementationJonathan Sackett, Anthony Magliari, Ryan Clark, et al.
European Radiology|May 15, 2023
Deep learning HASTE sequence compared with T2-weighted BLADE sequence for liver MRI at 3 Tesla: a qualitative and quantitative prospective studyPierre Wary, Gabriela Hossu, Khalid Ambarki, et al.
Magnetic Resonance Imaging|June 22, 2021
A parallel spatial and Bloch manifold regularized iterative reconstruction method for MR FingerprintingSimon Arberet, Xiao Chen, Boris Mailhé, et al.
Investigative Radiology|September 12, 2021
Analysis of a Deep Learning-Based Superresolution Algorithm Tailored to Partial Fourier Gradient Echo Sequences of the Abdomen at 1.5 T: Reduction of Breath-Hold Time and Improvement of Image QualitySaif Afat, Daniel Wessling, Carmen Afat, et al.
Investigative Radiology|November 19, 2020
Diagnostic Confidence and Feasibility of a Deep Learning Accelerated HASTE Sequence of the Abdomen in a Single Breath-HoldJudith Herrmann, Sebastian Gassenmaier, Dominik Nickel, et al.
Investigative Radiology|May 9, 2021
Development and Evaluation of Deep Learning-Accelerated Single-Breath-Hold Abdominal HASTE at 3 T Using Variable Refocusing Flip AnglesJudith Herrmann, Dominik Nickel, John P Mugler, et al.
Pageof 2