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Reza Dehdab

Showing results (1-10 of 15) with videos related to

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Encephalitis (Seoul, Korea)|December 6, 2023
COVID-19-related posterior reversible encephalopathy syndrome: insights from a clinical caseReza Dehdab, Saif Afat
Academic Radiology|January 14, 2026
Authors Response to the Letter to the Editor: General-Purpose vs Domain-Specific Large Language ModelsReza Dehdab, Amir Reza Radmard
BMC Medical Imaging|January 4, 2026
AI-based denoising improves image quality in HCC volume perfusion CT without affecting Milan classificationPatrick Ghibes, Reza Dehdab, Jan Brendel, et al.
Heliyon|June 30, 2021
Effects of adhesion barrier gel on functional outcomes of patients with lumbar disc herniation surgery; A systematic review and meta-analysis of clinical trialsSeyedmorteza Hosseini, Amin Niakan, Maryam Dehghankhalili, et al.
Japanese Journal of Radiology|June 12, 2024
Evaluating ChatGPT-4V in chest CT diagnostics: a critical image interpretation assessmentReza Dehdab, Andreas Brendlin, Sebastian Werner, et al.
Academic Radiology|August 9, 2025
LLM-Based Extraction of Imaging Features from Radiology Reports: Automating Disease Activity Scoring in Crohn's DiseaseReza Dehdab, Fiona Mankertz, Jan Michael Brendel, et al.
European Radiology|April 27, 2026
Bowel ischemia detection on portal venous CT: multireader evaluation of dual-energy and photon-counting spectral imagingFiona Mankertz, Josephine Berger, Nour Maalouf, et al.
Academic Radiology|November 21, 2023
Novel Deep Learning Denoising Enhances Image Quality and Lowers Radiation Exposure in Interventional Bronchial Artery Embolization Cone Beam CTAndreas S Brendlin, Reza Dehdab, Benedikt Stenzl, et al.
Diagnostic and Interventional Imaging|November 20, 2024
Deep learning reconstruction for accelerated high-resolution upper abdominal MRI improves lesion detection without time penaltyJan M Brendel, Johann Jacoby, Reza Dehdab, et al.
Diagnostics (Basel, Switzerland)|September 14, 2024
Enhancing Cone-Beam CT Image Quality in TIPSS Procedures Using AI DenoisingReza Dehdab, Andreas S Brendlin, Gerd Grözinger, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Encephalitis (Seoul, Korea)|December 6, 2023
COVID-19-related posterior reversible encephalopathy syndrome: insights from a clinical caseReza Dehdab, Saif Afat
Academic Radiology|January 14, 2026
Authors Response to the Letter to the Editor: General-Purpose vs Domain-Specific Large Language ModelsReza Dehdab, Amir Reza Radmard
BMC Medical Imaging|January 4, 2026
AI-based denoising improves image quality in HCC volume perfusion CT without affecting Milan classificationPatrick Ghibes, Reza Dehdab, Jan Brendel, et al.
Heliyon|June 30, 2021
Effects of adhesion barrier gel on functional outcomes of patients with lumbar disc herniation surgery; A systematic review and meta-analysis of clinical trialsSeyedmorteza Hosseini, Amin Niakan, Maryam Dehghankhalili, et al.
Japanese Journal of Radiology|June 12, 2024
Evaluating ChatGPT-4V in chest CT diagnostics: a critical image interpretation assessmentReza Dehdab, Andreas Brendlin, Sebastian Werner, et al.
Academic Radiology|August 9, 2025
LLM-Based Extraction of Imaging Features from Radiology Reports: Automating Disease Activity Scoring in Crohn's DiseaseReza Dehdab, Fiona Mankertz, Jan Michael Brendel, et al.
European Radiology|April 27, 2026
Bowel ischemia detection on portal venous CT: multireader evaluation of dual-energy and photon-counting spectral imagingFiona Mankertz, Josephine Berger, Nour Maalouf, et al.
Academic Radiology|November 21, 2023
Novel Deep Learning Denoising Enhances Image Quality and Lowers Radiation Exposure in Interventional Bronchial Artery Embolization Cone Beam CTAndreas S Brendlin, Reza Dehdab, Benedikt Stenzl, et al.
Diagnostic and Interventional Imaging|November 20, 2024
Deep learning reconstruction for accelerated high-resolution upper abdominal MRI improves lesion detection without time penaltyJan M Brendel, Johann Jacoby, Reza Dehdab, et al.
Diagnostics (Basel, Switzerland)|September 14, 2024
Enhancing Cone-Beam CT Image Quality in TIPSS Procedures Using AI DenoisingReza Dehdab, Andreas S Brendlin, Gerd Grözinger, et al.
Pageof 2