Mert Karabacak

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 26

Top Topics

Systematic Review

Machine Learning

Computed Tomography

Middle Cerebral Artery

Top Venues

JMIR medical education

Journal of clinical medicine

This page only lists publications with an associated author ORCID identifier.

Publications

Mert Karabacak, Pemla Jagtiani, Long Di, Ashish H Shah, Ricardo J Komotar, Konstantinos Margetis
Advancing precision prognostication in neuro-oncology: Machine learning models for data-driven personalized survival predictions in IDH-wildtype glioblastoma. Neuro-oncology advances 6 (1) (2024)
Mert Karabacak, Pemla Jagtiani, Ankita Jain, Fedor Panov, Konstantinos Margetis
Tracing topics and trends in drug-resistant epilepsy research using a natural language processing-based topic modeling approach. Epilepsia 65 (4) (2024)
Mert Karabacak, Pemla Jagtiani, Carl Moritz Zipser, Lindsay Tetreault, Benjamin Marshall Davies, Konstantinos Margetis
Mapping the Degenerative Cervical Myelopathy Research Landscape: Topic Modeling of the Literature. Global spine journal (2024)
Mert Karabacak, Pemla Jagtiani, Ankita Jain, Fedor Panov, Konstantinos Margetis
Tracing topics and trends in drug-resistant epilepsy research using a natural language processing-based topic modeling approach. Epilepsia (2024)
Mert Karabacak, Pemla Jagtiani, Ankita Jain, Fedor Panov, Konstantinos Margetis
Tracing topics and trends in drug-resistant epilepsy research using a natural language processing-based topic modeling approach. Epilepsia 65 (4) (2024)
Pemla Jagtiani, Mert Karabacak, Matthew T Carr, Zeynep Bahadir, Peter F Morgenstern, Konstantinos Margetis
Exploring Pediatric Vertebral, Sacral, and Pelvic Osteosarcomas through the NCDB: Demographics, Treatment Utilization, and Survival Outcomes. Children (Basel, Switzerland) 11 (8) (2024)
Mert Karabacak, Pemla Jagtiani, Long Di, Ashish H Shah, Ricardo J Komotar, Konstantinos Margetis
Advancing precision prognostication in neuro-oncology: Machine learning models for data-driven personalized survival predictions in IDH-wildtype glioblastoma. Neuro-oncology advances 6 (1) (2024)
Pemla Jagtiani, Mert Karabacak, Arthur L Jenkins, Konstantinos Margetis
Cervical laminoplasty versus laminectomy and fusion: An umbrella review of postoperative outcomes. Neurosurgical review 47 (1) (2023)
Burak Berksu Ozkara, Mert Karabacak, Omar Hamam, Richard C Wang, Apoorva Kotha, Neda Khalili, Meisam Hoseinyazdi, Melissa M Chen, Max Wintermark, Vivek Srikar Yedavalli
Prediction of Functional Outcome in Stroke Patients with Proximal Middle Cerebral Artery Occlusions Using Machine Learning Models. Journal of clinical medicine 12 (3) (2023)
Burak Berksu Ozkara, Mert Karabacak, Konstantinos Margetis, Vivek Srikar Yedavalli, Max Wintermark, Sotirios Bisdas
Assessment of Computed Tomography Perfusion Research Landscape: A Topic Modeling Study. Tomography (Ann Arbor, Mich.) 9 (6) (2023)
Burak Berksu Ozkara, Melissa M Chen, Christian Federau, Mert Karabacak, Tina M Briere, Jing Li, Max Wintermark
Deep Learning for Detecting Brain Metastases on MRI: A Systematic Review and Meta-Analysis. Cancers 15 (2) (2023)
Mert Karabacak, Alexander J Schupper, Matthew T Carr, Zachary L Hickman, Konstantinos Margetis
From Text to Insight: A Natural Language Processing-Based Analysis of Topics and Trends in Neurosurgery. Neurosurgery (2023)
Burak Berksu Ozkara, Mert Karabacak, Zeynep Ozcan, Sotirios Bisdas
Adaptive Peer Tutoring and Insights From a Neurooncology Course. JMIR medical education 9 (2023)
Burak Berksu Ozkara, Mert Karabacak, Omar Hamam, Richard C Wang, Apoorva Kotha, Neda Khalili, Meisam Hoseinyazdi, Melissa M Chen, Max Wintermark, Vivek Srikar Yedavalli
Prediction of Functional Outcome in Stroke Patients with Proximal Middle Cerebral Artery Occlusions Using Machine Learning Models. Journal of clinical medicine 12 (3) (2023)
Mert Karabacak, Konstantinos Margetis
Interpretable machine learning models to predict short-term postoperative outcomes following posterior cervical fusion. PloS one 18 (7) (2023)
Burak Berksu Ozkara, Mert Karabacak, Omar Hamam, Richard C Wang, Apoorva Kotha, Neda Khalili, Meisam Hoseinyazdi, Melissa M Chen, Max Wintermark, Vivek Srikar Yedavalli
Prediction of Functional Outcome in Stroke Patients with Proximal Middle Cerebral Artery Occlusions Using Machine Learning Models. Journal of clinical medicine 12 (3) (2023)
Burak Berksu Ozkara, Mert Karabacak, Apoorva Kotha, Alperen Aslan, Omar Hamam, Namratha Edpuganti, Meisam Hoseinyazdi, Richard C Wang, Brian C Cristiano, Vivek Srikar Yedavalli
Prediction of Poor Outcome after Successful Thrombectomy in Patients with Severe Acute Ischemic Stroke: A Pilot Retrospective Study. Neurology international 15 (1) (2023)
Burak Berksu Ozkara, Melissa M Chen, Christian Federau, Mert Karabacak, Tina M Briere, Jing Li, Max Wintermark
Deep Learning for Detecting Brain Metastases on MRI: A Systematic Review and Meta-Analysis. Cancers 15 (2) (2023)
Mert Karabacak, Konstantinos Margetis
A Machine Learning-Based Online Prediction Tool for Predicting Short-Term Postoperative Outcomes Following Spinal Tumor Resections. Cancers 15 (3) (2023)
Mert Karabacak, Konstantinos Margetis
A Machine Learning-Based Online Prediction Tool for Predicting Short-Term Postoperative Outcomes Following Spinal Tumor Resections. Cancers 15 (3) (2023)
Burak Berksu Ozkara, Mert Karabacak, Apoorva Kotha, Alperen Aslan, Omar Hamam, Namratha Edpuganti, Meisam Hoseinyazdi, Richard C Wang, Brian C Cristiano, Vivek Srikar Yedavalli
Prediction of Poor Outcome after Successful Thrombectomy in Patients with Severe Acute Ischemic Stroke: A Pilot Retrospective Study. Neurology international 15 (1) (2023)
Mert Karabacak, Burak Berksu Ozkara, Konstantinos Margetis, Max Wintermark, Sotirios Bisdas
The Advent of Generative Language Models in Medical Education. JMIR medical education 9 (2023)
Burak Berksu Ozkara, Melissa M Chen, Christian Federau, Mert Karabacak, Tina M Briere, Jing Li, Max Wintermark
Deep Learning for Detecting Brain Metastases on MRI: A Systematic Review and Meta-Analysis. Cancers 15 (2) (2023)
Burak Berksu Ozkara, Mert Karabacak, Duygu Demet Alpaydin
Student-Run Online Journal Club Initiative During a Time of Crisis: Survey Study. JMIR medical education 8 (1) (2022)
Mert Karabacak, Burak Berksu Ozkara, Admir Ozturk, Busra Kaya, Zeynep Cirak, Ece Orak, Zeynep Ozcan
Radiomics-based machine learning models for prediction of medulloblastoma subgroups: a systematic review and meta-analysis of the diagnostic test performance. Acta radiologica (Stockholm, Sweden : 1987) (2022)
Mert Karabacak, Burak Berksu Ozkara, Zeynep Ozcan
Adjusting to the Reign of Webinars: Viewpoint. JMIR medical education 7 (4) (2021)