Simon Arberet - Concepedia

Author

Simon Arberet

Siemens Healthcare (Germany)ORCID

Also Known As

ARBERET, Simon, Arberet, Simon, S. Arberet, Simon Arberet

Publications

1.2K

Citations

H-Index

Concepts

All Affiliations

Siemens Healthcare (Germany)Siemens (United States)Siemens Healthcare (United States)École Polytechnique Fédérale de Lausanne University of Tübingen

About

Simon Arberet is an author at Siemens Healthcare (Germany) specializing in engineering, medical imaging, and deep learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	12	12	744
2	Health Sciences	6	6	532
3	Medicine	3	3	91
4	Arts	2	2	106
5	Biostatistics	2	2	307

Simon Arberet

Publications

953

Citations

H-Index

Page 1

	Year	Citations
Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction Matthew J. Muckley, Bruno Riemenschneider, Alireza Radmanesh, IEEE Transactions on Medical Imaging Artificial IntelligenceImage ReconstructionEngineeringMachine LearningMri Scans	2021	282
A Robust Method to Count and Locate Audio Sources in a Multichannel Underdetermined Mixture Simon Arberet, Rémi Gribonval, Frédéric Bimbot IEEE Transactions on Signal Processing MusicSource SeparationEngineeringMixing DirectionsSpeech Recognition	2009	113
Diagnostic Confidence and Feasibility of a Deep Learning Accelerated HASTE Sequence of the Abdomen in a Single Breath-Hold Judith Herrmann, Sebastian Gassenmaier, Dominik Nickel, Investigative Radiology	2020	91
Nonnegative matrix factorization and spatial covariance model for under-determined reverberant audio source separation Simon Arberet, Alexey Ozerov, Ngoc Q. K. Duong, MusicAeroacousticsSource SeparationEngineeringSource Contribution	2010	89
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 sequence Krishna Shanbhogue, Angela Tong, Paul Smereka, European Radiology Image ReconstructionEngineeringMedical ImagingDeep LearningAdvanced Imaging	2021	65
Development and Evaluation of Deep Learning-Accelerated Single-Breath-Hold Abdominal HASTE at 3 T Using Variable Refocusing Flip Angles Judith Herrmann, Dominik Nickel, John P. Mugler, Investigative Radiology	2021	45
Clinical feasibility of accelerated diffusion weighted imaging of the abdomen with deep learning reconstruction: Comparison with conventional diffusion weighted imaging Sung Hwan Bae, Jiyoung Hwang, Seong Sook Hong, European Journal of Radiology Imaging AnatomyEngineeringMedical ImagingClinical FeasibilityMedical Image Computing	2022	44
Results of the 2020 fastMRI Challenge for Machine Learning MR Image\n Reconstruction Matthew J. Muckley, Bruno Riemenschneider, Alireza Radmanesh, arXiv (Cornell University)	2020	29
Combined Deep Learning-based Super-Resolution and Partial Fourier Reconstruction for Gradient Echo Sequences in Abdominal MRI at 3 Tesla: Shortening Breath-Hold Time and Improving Image Sharpness and Lesion Conspicuity Haidara Almansour, Judith Herrmann, Sebastian Gassenmaier, Academic Radiology Super-resolution ImagingImage ReconstructionAbdominal MriEngineeringMedical Imaging	2022	29
Photoplethysmography-based ambulatory heartbeat monitoring embedded into a dedicated bracelet Simon Arberet, Mathieu Lemay, Philippe Renevey, Electrophysiological EvaluationMedical MonitoringDedicated BraceletEngineeringAmbulatory Electrocardiogram	2013	25

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