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Sara Merkaj

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

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Brain & Spine|July 2, 2026
Sexual dysfunction after elective spine surgery: A systematic review identifying knowledge gaps and clinical implicationsSara Merkaj, Anton Früh, Claudius Jelgersma, et al.
JAMA Neurology|April 8, 2024
Early Seizure Prophylaxis in Mild and Moderate Traumatic Brain Injury: A Systematic Review and Meta-AnalysisMatthew Pease, Adi Mittal, Sara Merkaj, et al.
Cancers|June 10, 2022
Machine Learning Tools for Image-Based Glioma Grading and the Quality of Their Reporting: Challenges and OpportunitiesSara Merkaj, Ryan C Bahar, Tal Zeevi, et al.
AJNR. American Journal of Neuroradiology|April 18, 2025
Image-Based Search in Radiology: Identification of Brain Tumor Subtypes within Databases using MRI-Based Radiomic FeaturesMarc von Reppert, Saahil Chadha, Klara Willms, et al.
Neuro-Oncology Advances|August 31, 2022
Real-time PACS-integrated longitudinal brain metastasis tracking tool provides comprehensive assessment of treatment response to radiosurgeryGabriel Cassinelli Petersen, Khaled Bousabarah, Tej Verma, et al.
Neuro-Oncology Advances|December 11, 2024
Enhancing clinical decision-making: An externally validated machine learning model for predicting isocitrate dehydrogenase mutation in gliomas using radiomics from presurgical magnetic resonance imagingJan Lost, Nader Ashraf, Leon Jekel, et al.
Frontiers in Neuroscience|October 31, 2022
Clinical implementation of artificial intelligence in neuroradiology with development of a novel workflow-efficient picture archiving and communication system-based automated brain tumor segmentation and radiomic feature extractionMariam Aboian, Khaled Bousabarah, Eve Kazarian, et al.
Frontiers in Oncology|May 9, 2022
Machine Learning Models for Classifying High- and Low-Grade Gliomas: A Systematic Review and Quality of Reporting AnalysisRyan C Bahar, Sara Merkaj, Gabriel I Cassinelli Petersen, et al.
Scientific Data|February 29, 2024
A large open access dataset of brain metastasis 3D segmentations on MRI with clinical and imaging informationDivya Ramakrishnan, Leon Jekel, Saahil Chadha, et al.
Cancers|March 25, 2022
Machine Learning Applications for Differentiation of Glioma from Brain Metastasis-A Systematic ReviewLeon Jekel, Waverly R Brim, Marc von Reppert, et al.
Pageof 2

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

Sort By:
Pageof 2
Brain & Spine|July 2, 2026
Sexual dysfunction after elective spine surgery: A systematic review identifying knowledge gaps and clinical implicationsSara Merkaj, Anton Früh, Claudius Jelgersma, et al.
JAMA Neurology|April 8, 2024
Early Seizure Prophylaxis in Mild and Moderate Traumatic Brain Injury: A Systematic Review and Meta-AnalysisMatthew Pease, Adi Mittal, Sara Merkaj, et al.
Cancers|June 10, 2022
Machine Learning Tools for Image-Based Glioma Grading and the Quality of Their Reporting: Challenges and OpportunitiesSara Merkaj, Ryan C Bahar, Tal Zeevi, et al.
AJNR. American Journal of Neuroradiology|April 18, 2025
Image-Based Search in Radiology: Identification of Brain Tumor Subtypes within Databases using MRI-Based Radiomic FeaturesMarc von Reppert, Saahil Chadha, Klara Willms, et al.
Neuro-Oncology Advances|August 31, 2022
Real-time PACS-integrated longitudinal brain metastasis tracking tool provides comprehensive assessment of treatment response to radiosurgeryGabriel Cassinelli Petersen, Khaled Bousabarah, Tej Verma, et al.
Neuro-Oncology Advances|December 11, 2024
Enhancing clinical decision-making: An externally validated machine learning model for predicting isocitrate dehydrogenase mutation in gliomas using radiomics from presurgical magnetic resonance imagingJan Lost, Nader Ashraf, Leon Jekel, et al.
Frontiers in Neuroscience|October 31, 2022
Clinical implementation of artificial intelligence in neuroradiology with development of a novel workflow-efficient picture archiving and communication system-based automated brain tumor segmentation and radiomic feature extractionMariam Aboian, Khaled Bousabarah, Eve Kazarian, et al.
Frontiers in Oncology|May 9, 2022
Machine Learning Models for Classifying High- and Low-Grade Gliomas: A Systematic Review and Quality of Reporting AnalysisRyan C Bahar, Sara Merkaj, Gabriel I Cassinelli Petersen, et al.
Scientific Data|February 29, 2024
A large open access dataset of brain metastasis 3D segmentations on MRI with clinical and imaging informationDivya Ramakrishnan, Leon Jekel, Saahil Chadha, et al.
Cancers|March 25, 2022
Machine Learning Applications for Differentiation of Glioma from Brain Metastasis-A Systematic ReviewLeon Jekel, Waverly R Brim, Marc von Reppert, et al.
Pageof 2