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Annali Di Chimica
|
May 10, 2003
Determination of 4-nonylphenol and 4-nonylphenol ethoxylates in river sediments by microwave assisted solvent extraction
Valeria Croce, Stefano Paggio, Andrea Pagnoni, et al.
World Journal of Transplantation
|
April 5, 2024
Current status and future perspectives on stem cell transplantation for spinal cord injury
Edoardo Agosti, Marco Zeppieri, Andrea Pagnoni, et al.
Annali Italiani Di Chirurgia
|
March 16, 2026
Deep Learning-Based Videomics for Automatic Segmentation in Endoscopic Endonasal Surgery
Edoardo Agosti, Andrea Pagnoni, Cesare Zoia, et al.
The Journal of Sports Medicine and Physical Fitness
|
October 16, 2019
Validity and reliability of the GYKO inertial sensor system for the assessment of the elbow range of motion
Adriano Santospagnuolo, Andrea A Bruno, Andrea Pagnoni, et al.
Operative Neurosurgery (Hagerstown, Md.)
|
October 1, 2025
Deep Learning for Automatic Segmentation of Pituitary Adenomas: A Videomics Study
Edoardo Agosti, Beshoy Guirges, Francesco Carlo Tartaglia, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 5) with videos related to
Sort By:
Page
of 1
Annali Di Chimica
|
May 10, 2003
Determination of 4-nonylphenol and 4-nonylphenol ethoxylates in river sediments by microwave assisted solvent extraction
Valeria Croce, Stefano Paggio, Andrea Pagnoni, et al.
World Journal of Transplantation
|
April 5, 2024
Current status and future perspectives on stem cell transplantation for spinal cord injury
Edoardo Agosti, Marco Zeppieri, Andrea Pagnoni, et al.
Annali Italiani Di Chirurgia
|
March 16, 2026
Deep Learning-Based Videomics for Automatic Segmentation in Endoscopic Endonasal Surgery
Edoardo Agosti, Andrea Pagnoni, Cesare Zoia, et al.
The Journal of Sports Medicine and Physical Fitness
|
October 16, 2019
Validity and reliability of the GYKO inertial sensor system for the assessment of the elbow range of motion
Adriano Santospagnuolo, Andrea A Bruno, Andrea Pagnoni, et al.
Operative Neurosurgery (Hagerstown, Md.)
|
October 1, 2025
Deep Learning for Automatic Segmentation of Pituitary Adenomas: A Videomics Study
Edoardo Agosti, Beshoy Guirges, Francesco Carlo Tartaglia, et al.
Page
of 1