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Abdolamir Karbalaie

Showing results (1-10 of 9) with videos related to

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JMIR AI|April 30, 2026
Participant-Aware Model Validation for Repeated-Measures Data: Comparative Cross-Validation StudyAbdolamir Karbalaie, Farhad Abtahi, Charlotte K Häger
Clinical Rheumatology|July 7, 2019
Practical issues in assessing nailfold capillaroscopic images: a summaryAbdolamir Karbalaie, Zahra Emrani, Alimohammad Fatemi, et al.
Microvascular Research|September 11, 2016
Capillary density: An important parameter in nailfold capillaroscopyZahra Emrani, Abdolamir Karbalaie, Alimohammad Fatemi, et al.
Biomed Research International|October 1, 2015
Nailfold Capillaroscopy in Rheumatic Diseases: Which Parameters Should Be Evaluated?Mahnaz Etehad Tavakol, Alimohammad Fatemi, Abdolamir Karbalaie, et al.
Microvascular Research|August 14, 2019
Nailfold microvascular changes in patients with systemic lupus erythematosus and their associative factorsAlimohammad Fatemi, Björn-Erik Erlandsson, Zahra Emrani, et al.
Microvascular Research|July 1, 2018
Image enhancement effect on inter and intra-observer reliability of nailfold capillary assessmentAbdolamir Karbalaie, Mahnaz Etehadtavakol, Farhad Abtahi, et al.
Microvascular Research|April 18, 2017
Elliptical broken line method for calculating capillary density in nailfold capillaroscopy: Proposal and evaluationAbdolamir Karbalaie, Farhad Abtahi, Alimohammad Fatemi, et al.
Journal of Biomechanics|May 13, 2026
Enhancing fear of re-injury classification after ACL reconstruction by integrating biomechanical and electromyography data using multimodal machine learning methodsAbdolamir Karbalaie, Adam Grinberg, Andrew Strong, et al.
Journal of Sports Sciences|October 24, 2025
Beyond self-reports after anterior cruciate ligament injury - machine learning methods for classifying and identifying movement patterns related to fear of re-injuryAbdolamir Karbalaie, Andrew Strong, Tomas Nordström, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
JMIR AI|April 30, 2026
Participant-Aware Model Validation for Repeated-Measures Data: Comparative Cross-Validation StudyAbdolamir Karbalaie, Farhad Abtahi, Charlotte K Häger
Clinical Rheumatology|July 7, 2019
Practical issues in assessing nailfold capillaroscopic images: a summaryAbdolamir Karbalaie, Zahra Emrani, Alimohammad Fatemi, et al.
Microvascular Research|September 11, 2016
Capillary density: An important parameter in nailfold capillaroscopyZahra Emrani, Abdolamir Karbalaie, Alimohammad Fatemi, et al.
Biomed Research International|October 1, 2015
Nailfold Capillaroscopy in Rheumatic Diseases: Which Parameters Should Be Evaluated?Mahnaz Etehad Tavakol, Alimohammad Fatemi, Abdolamir Karbalaie, et al.
Microvascular Research|August 14, 2019
Nailfold microvascular changes in patients with systemic lupus erythematosus and their associative factorsAlimohammad Fatemi, Björn-Erik Erlandsson, Zahra Emrani, et al.
Microvascular Research|July 1, 2018
Image enhancement effect on inter and intra-observer reliability of nailfold capillary assessmentAbdolamir Karbalaie, Mahnaz Etehadtavakol, Farhad Abtahi, et al.
Microvascular Research|April 18, 2017
Elliptical broken line method for calculating capillary density in nailfold capillaroscopy: Proposal and evaluationAbdolamir Karbalaie, Farhad Abtahi, Alimohammad Fatemi, et al.
Journal of Biomechanics|May 13, 2026
Enhancing fear of re-injury classification after ACL reconstruction by integrating biomechanical and electromyography data using multimodal machine learning methodsAbdolamir Karbalaie, Adam Grinberg, Andrew Strong, et al.
Journal of Sports Sciences|October 24, 2025
Beyond self-reports after anterior cruciate ligament injury - machine learning methods for classifying and identifying movement patterns related to fear of re-injuryAbdolamir Karbalaie, Andrew Strong, Tomas Nordström, et al.
Pageof 1