Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Mahsa Vatanparast

Showing results (1-10 of 14) with videos related to

Pageof 2
Sort By:
AJNR. American Journal of Neuroradiology|July 3, 2025
CONSeg: Voxelwise Uncertainty Quantification for Glioma Segmentation Using Conformal PredictionDanial Elyassirad, Benyamin Gheiji, Mahsa Vatanparast, et al.
Journal of Imaging Informatics in Medicine|March 12, 2026
CONReg: Uncertainty-Aware Medical Image Registration Using Conformal PredictionBenyamin Gheiji, Danial Elyassirad, Mahsa Vatanparast, et al.
BMC Medical Imaging|December 9, 2025
Improving radiomics-based isocitrate dehydrogenase 1 prediction in glioma patients using semi-supervised machine learning modelsAmir Mahmoud Ahmadzadeh, Amirhossein Jafarnezhad, Danial Elyassirad, et al.
Neuro-Chirurgie|February 28, 2024
Traumatic middle meningeal artery aneurysm: a case reportMohammad Ghorbani, Ehsan Keykhosravi, Mahsa Vatanparast, et al.
Clinical Imaging|May 13, 2026
Radiomics and deep learning models for predicting glioma p53 status: A diagnostic accuracy systematic review and meta-analysis of magnetic resonance imaging studiesAmir Mahmoud Ahmadzadeh, Mohammad Amin Ashoobi, Nima Broomand Lomer, et al.
Journal of Imaging Informatics in Medicine|June 25, 2025
Predicting IDH Mutation in Glioma Patients Using Deep Learning Algorithms with Conformal PredictionDanial Elyassirad, Benyamin Gheiji, Mahsa Vatanparast, et al.
World Neurosurgery|December 15, 2023
Functional Outcome and Mortality Predictors in Patients with Cerebral Ischemic Infarction After Decompressive Craniectomy: Cross-Sectional StudyAmin Rostami, Daniel Elyassirad, Mahsa Vatanparast, et al.
The Neuroradiology Journal|November 25, 2024
Predicting Epidural Hematoma Expansion in Traumatic Brain Injury: A Machine Learning ApproachMohammad Hasanpour, Danial Elyassirad, Benyamin Gheiji, et al.
La Radiologia Medica|September 11, 2025
Application of Deep Learning for Predicting Hematoma Expansion in Intracerebral Hemorrhage Using Computed Tomography Scans: A Systematic Review and Meta-Analysis of Diagnostic AccuracyAmir Mahmoud Ahmadzadeh, Mohammad Amin Ashoobi, Nima Broomand Lomer, et al.
Neurosurgical Review|August 30, 2024
Flow diverting stent monotherapy as the best choice in the treatment of intracranial blood blister-like aneurysms: a systematic reviewMohammad Ghorbani, Ehsan Keykhosravi, Mahsa Vatanparast, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
AJNR. American Journal of Neuroradiology|July 3, 2025
CONSeg: Voxelwise Uncertainty Quantification for Glioma Segmentation Using Conformal PredictionDanial Elyassirad, Benyamin Gheiji, Mahsa Vatanparast, et al.
Journal of Imaging Informatics in Medicine|March 12, 2026
CONReg: Uncertainty-Aware Medical Image Registration Using Conformal PredictionBenyamin Gheiji, Danial Elyassirad, Mahsa Vatanparast, et al.
BMC Medical Imaging|December 9, 2025
Improving radiomics-based isocitrate dehydrogenase 1 prediction in glioma patients using semi-supervised machine learning modelsAmir Mahmoud Ahmadzadeh, Amirhossein Jafarnezhad, Danial Elyassirad, et al.
Neuro-Chirurgie|February 28, 2024
Traumatic middle meningeal artery aneurysm: a case reportMohammad Ghorbani, Ehsan Keykhosravi, Mahsa Vatanparast, et al.
Clinical Imaging|May 13, 2026
Radiomics and deep learning models for predicting glioma p53 status: A diagnostic accuracy systematic review and meta-analysis of magnetic resonance imaging studiesAmir Mahmoud Ahmadzadeh, Mohammad Amin Ashoobi, Nima Broomand Lomer, et al.
Journal of Imaging Informatics in Medicine|June 25, 2025
Predicting IDH Mutation in Glioma Patients Using Deep Learning Algorithms with Conformal PredictionDanial Elyassirad, Benyamin Gheiji, Mahsa Vatanparast, et al.
World Neurosurgery|December 15, 2023
Functional Outcome and Mortality Predictors in Patients with Cerebral Ischemic Infarction After Decompressive Craniectomy: Cross-Sectional StudyAmin Rostami, Daniel Elyassirad, Mahsa Vatanparast, et al.
The Neuroradiology Journal|November 25, 2024
Predicting Epidural Hematoma Expansion in Traumatic Brain Injury: A Machine Learning ApproachMohammad Hasanpour, Danial Elyassirad, Benyamin Gheiji, et al.
La Radiologia Medica|September 11, 2025
Application of Deep Learning for Predicting Hematoma Expansion in Intracerebral Hemorrhage Using Computed Tomography Scans: A Systematic Review and Meta-Analysis of Diagnostic AccuracyAmir Mahmoud Ahmadzadeh, Mohammad Amin Ashoobi, Nima Broomand Lomer, et al.
Neurosurgical Review|August 30, 2024
Flow diverting stent monotherapy as the best choice in the treatment of intracranial blood blister-like aneurysms: a systematic reviewMohammad Ghorbani, Ehsan Keykhosravi, Mahsa Vatanparast, et al.
Pageof 2