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Felix Nensa

Showing results (51-60 of 199) with videos related to

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European Radiology|February 25, 2021
Contrast agent dose reduction in computed tomography with deep learning using a conditional generative adversarial networkJohannes Haubold, René Hosch, Lale Umutlu, et al.
BMC Health Services Research|July 6, 2023
FHIR-PYrate: a data science friendly Python package to query FHIR serversRené Hosch, Giulia Baldini, Vicky Parmar, et al.
European Journal of Nuclear Medicine and Molecular Imaging|February 19, 2018
[<sup>18</sup>F]FDG PET/MR enterography for the assessment of inflammatory activity in Crohn's disease: comparison of different MRI and PET parametersYan Li, Karsten Beiderwellen, Felix Nensa, et al.
EJNMMI Physics|April 16, 2025
External phantom-based validation of a deep-learning network trained for upscaling of digital low count PET dataAnja Braune, René Hosch, David Kersting, et al.
Journal of Magnetic Resonance Imaging : JMRI|January 21, 2016
Compressed sensing cine imaging with high spatial or high temporal resolution for analysis of left ventricular functionJuliane Goebel, Felix Nensa, Haemi P Schemuth, et al.
Acta Radiologica (Stockholm, Sweden : 1987)|May 29, 2014
Diagnostic value of 3D fluid attenuated inversion recovery sequence in multiple sclerosisCarolin Gramsch, Felix Nensa, Oliver Kastrup, et al.
European Radiology|March 21, 2015
Cardiac pathologies in female carriers of Duchenne muscular dystrophy assessed by cardiovascular magnetic resonance imagingJuliane Schelhorn, Anne Schoenecker, Ulrich Neudorf, et al.
Acta Haematologica|August 5, 2025
Artificial intelligence in hematopoietic stem cell transplantation care and complication managementAmin T Turki, Alberto Mussetti, Katja Marie Scheidler, et al.
Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz|June 25, 2025
[Implementation of artificial intelligence (AI) in healthcare: historical development, current technologies and challenges]Jill von Conta, Merlin Engelke, Fin H Bahnsen, et al.
Artificial Intelligence in Medicine|June 17, 2026
Can one model fit all? Evaluating foundation models for time series forecasting across clinical medicineGernot Pucher, Amin Dada, Aurel Agbodoyetin, et al.
Pageof 20

Showing results (51-60 of 199) with videos related to

Sort By:
Pageof 20
European Radiology|February 25, 2021
Contrast agent dose reduction in computed tomography with deep learning using a conditional generative adversarial networkJohannes Haubold, René Hosch, Lale Umutlu, et al.
BMC Health Services Research|July 6, 2023
FHIR-PYrate: a data science friendly Python package to query FHIR serversRené Hosch, Giulia Baldini, Vicky Parmar, et al.
European Journal of Nuclear Medicine and Molecular Imaging|February 19, 2018
[<sup>18</sup>F]FDG PET/MR enterography for the assessment of inflammatory activity in Crohn's disease: comparison of different MRI and PET parametersYan Li, Karsten Beiderwellen, Felix Nensa, et al.
EJNMMI Physics|April 16, 2025
External phantom-based validation of a deep-learning network trained for upscaling of digital low count PET dataAnja Braune, René Hosch, David Kersting, et al.
Journal of Magnetic Resonance Imaging : JMRI|January 21, 2016
Compressed sensing cine imaging with high spatial or high temporal resolution for analysis of left ventricular functionJuliane Goebel, Felix Nensa, Haemi P Schemuth, et al.
Acta Radiologica (Stockholm, Sweden : 1987)|May 29, 2014
Diagnostic value of 3D fluid attenuated inversion recovery sequence in multiple sclerosisCarolin Gramsch, Felix Nensa, Oliver Kastrup, et al.
European Radiology|March 21, 2015
Cardiac pathologies in female carriers of Duchenne muscular dystrophy assessed by cardiovascular magnetic resonance imagingJuliane Schelhorn, Anne Schoenecker, Ulrich Neudorf, et al.
Acta Haematologica|August 5, 2025
Artificial intelligence in hematopoietic stem cell transplantation care and complication managementAmin T Turki, Alberto Mussetti, Katja Marie Scheidler, et al.
Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz|June 25, 2025
[Implementation of artificial intelligence (AI) in healthcare: historical development, current technologies and challenges]Jill von Conta, Merlin Engelke, Fin H Bahnsen, et al.
Artificial Intelligence in Medicine|June 17, 2026
Can one model fit all? Evaluating foundation models for time series forecasting across clinical medicineGernot Pucher, Amin Dada, Aurel Agbodoyetin, et al.
Pageof 20