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M

Mert Karabacak

suny downstate health sciences university

14H指数
103论文数
1.1K被引数
收录论文 35
发表时间
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A concise framework for fairness: navigating disparate impact in healthcare AI公平性的简洁框架：应对医疗AI中的差异影响
errJournal of Medical Artificial Intelligence
IF0
err2025-12-30
err3
PREAI
errJagtiani, Pemla; Karabacak, Mert; Margetis, Konstantinos
err分享
err收藏
Navigating the Frontier of artificial intelligence implementation in radiology - part 1: Performance assessment导航放射学中人工智能实施的前沿——第1部分：性能评估
errNeuroradiology Journal
IF0.8
err2025-12-01
err0
PREAI
errFarhat, Maguy; Dagher, Samir A.; Ozkara, Burak Berksu; Ozcan, Berat Bersu; Karabacak, Mert; Chen, Melissa M.; Yedavalli, Vivek S.; Wintermark, Max
err分享
err收藏
Inpatient outcomes in pediatric diffuse axonal injury: high mortality in severe TBI and limited impact of Grade III DAI儿科弥漫性轴索损伤的住院结局：严重TBI的高死亡率及Grade III DAI的有限影响
errCHILDS NERVOUS SYSTEM
IF1.2
err2025-12-01
err0
PREAI
errInzerillo, Sean; Karabacak, Mert; Morgenstern, Peter; Margetis, Konstantinos
err分享
err收藏
Inpatient Outcomes in Geriatric Complete Cervical Spinal Cord Injury: Associations Between Surgical Management and Reduced Mortality Despite Increased Morbidity老年完全性颈脊髓损伤的住院结局：手术管理与增加的发病率和降低的死亡率之间的关联
errGlobal Spine Journal
IF3
err2025-10-30
err0
errOAAI
errSean Inzerillo; Mert Karabacak; Paul Mastrokostas; Konstantinos Margetis
err分享
err收藏
Diffusion Tensor Imaging in Acute; Chronic; and Remote Mild Traumatic Brain Injury: A Systematic Review of Cross-Sectional and Longitudinal Studies扩散张量成像在急性、慢性及远期轻度创伤性脑损伤中的应用：横断面与纵向研究的系统综述
errJournal of Neurotrauma
IF3.8
err2025-08-01
err0
PREAI
errShiv Patil; Mert Karabacak; Serhat Aydin; Inna Sagi; Andrea Soddu; Burak Berksu Ozkara; Konstantinos Margetis; Sotirios Bisdas
err分享
err收藏
A Meta-Analysis and Systematic Review of Artificial Intellgence Methods for Predicting Hemorrhagic Transformation Using Neuroimaging in Acute Ischemic Stroke
errNEUROSURGERY
IF3.9
err2025-04-01
err0
PREAI
errKarabacak, Mert; Dagher, Richard; Ozkara, Burak Berksu; Dagher, Samir; Rumbaut, Elijah Isaac; Luna, Licia; Yedavalli, Vivek; Wintermark, Max
err分享
err收藏
Decoding Diffuse Gliomas: A Radiomics-Driven Machine Learning Strategy for Predicting Histopathological and Molecular Profiles
errNEUROSURGERY
IF3.9
err2025-04-01
err0
PREAI
errKarabacak, Mert; Seah, Carina; Margetis, Konstantinos D.
err分享
err收藏
Genetic Variants Underlying Expression of ADPRM and CAB39 Confer Susceptibility for Lumbar Disc Degeneration
errNEUROSURGERY
IF3.9
err2025-04-01
err0
PREAI
errSeah, Carina; Karabacak, Mert; Margetis, Konstantinos D.
err分享
err收藏
A Transcriptome-Wide Association Study Identifies Novel Genes and Therapeutic Targets for Cervical Myelopathy
errNEUROSURGERY
IF3.9
err2025-04-01
err0
PREAI
errSeah, Carina; Karabacak, Mert; Margetis, Konstantinos D.
err分享
err收藏
Transcriptomic imputation identifies tissue-specific genes associated with cervical myelopathy
errSPINE JOURNAL
IF4.7
err2025-03-01
err0
PREAI
errSeah, Carina; Karabacak, Mert; Margetis, Konstantinos
err分享
err收藏
Navigating the potential and pitfalls of large language models in patient-centered medication guidance and self-decision support在以患者为中心的药物指导和自我决策支持中导航大型语言模型的潜力和陷阱
errFRONTIERS IN MEDICINE
IF3
err2025-01-23
err1
errOAAI
errAydin, Serhat; Karabacak, Mert; Vlachos, Victoria; Margetis, Konstantinos
err分享
err收藏
Letter: What Are We Transfusing? Evaluating the Quality and Clinical Utility of Intraoperatively Salvaged Red Blood Cells in Spinal Deformity Surgery: A Nonrandomized Controlled Trial
errNEUROSURGERY
IF3.9
err2025-01-08
err1
PREAI
errAydin, Serhat; Jenkins, Abigail; Detchou, Donald; Karabacak, Mert; Barrie, Umaru; Aoun, Salah G.
err分享
err收藏
A large scale multi institutional study for radiomics driven machine learning for meningioma grading用于脑膜瘤分级的放射组学驱动的机器学习的大规模多机构研究
errSCIENTIFIC REPORTS
IF3.9
err2024-10-31
err0
errOAAI
errKarabacak, Mert; Patil, Shiv; Feng, Rui; Shrivastava, Raj K.; Margetis, Konstantinos
err分享
err收藏
A Pilot Project to Promote Research Competency in Medical Students Through Journal Clubs: Mixed Methods Study
errmedical education
IF3.2
err2024-10-31
err0
errOAAI
errKarabacak, Mert; Ozcan, Zeynep; Ozkara, Burak Berksu; Furkan, Zeynep Sude; Bisdas, Sotirios
err分享
err收藏
Large language models in patient education: a scoping review of applications in medicine患者教育中的大型语言模型: 医学应用的范围审查
errFRONTIERS IN MEDICINE
IF3
err2024-10-29
err3
errOAAI
errAydin, Serhat; Karabacak, Mert; Vlachos, Victoria; Margetis, Konstantinos
err分享
err收藏
Data-Driven Prognostication in Distal Medium Vessel Occlusions Using Explainable Machine Learning基于可解释机器学习对远端中等血管闭塞的数据驱动预测
errAMERICAN JOURNAL OF NEURORADIOLOGY
IF3.7
err2024-10-23
err0
PREAI
errKarabacak, M; Ozkara, BB; Faizy, TD; Hardigan, T; Heit, JJ; Lakhani, DA; Margetis, K; Mocco, J; Nael, K; Wintermark, M; Yedavalli, VS
err分享
err收藏
A synergistic unsupervised-supervised learning approach for data-driven and clinically applicable patient phenotyping
errEBIOMEDICINE
IF10.8
err2024-10-01
err0
errOAAI
errKarabacak, Mert; Margetis, Konstantinos
err分享
err收藏
Simplifying synthesis of the expanding glioblastoma literature: a topic modeling approach
errJOURNAL OF NEURO-ONCOLOGY
IF3.1
err2024-07-11
err1
PREAI
errKarabacak, Mert; Jagtiani, Pemla; Carrasquilla, Alejandro; Jain, Ankita; Germano, Isabelle M.; Margetis, Konstantinos
err分享
err收藏
Advancing precision prognostication in neuro-oncology: Machine learning models for data-driven personalized survival predictions in IDH-wildtype glioblastoma推进神经肿瘤学的精确预测: IDH野生型胶质母细胞瘤中数据驱动的个性化生存预测的机器学习模型
errNEURO-ONCOLOGY ADVANCES
IF4.1
err2024-06-11
err1
errOAAI
errKarabacak, Mert; Jagtiani, Pemla; Di, Long; Shah, Ashish H.; Komotar, Ricardo J.; Margetis, Konstantinos
err分享
err收藏
Development and internal validation of machine learning models for personalized survival predictions in spinal cord glioma patients
errSPINE JOURNAL
IF4.7
err2024-06-01
err2
PREAI
errKarabacak, Mert; Schupper, Alexander J.; Carr, Matthew T.; Bhimani, Abhiraj D.; Steinberger, Jeremy; Margetis, Konstantinos
err分享
err收藏

研究方向

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合作学者
合作期刊
M
Max Wintermark
H 指数: 99 · 论文数: 1.1K
I
Isabelle M. Germano
H 指数: 51 · 论文数: 241
S
Sotirios Bisdas
H 指数: 51 · 论文数: 331
R
Richard Wang
H 指数: 46 · 论文数: 313
A
Andrea Soddu
H 指数: 45 · 论文数: 214
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