OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 12.03.2026, 06:36

Mariam Aboian

215 Arbeiten3.124 Zitationen

Indiana University Health · US

Relevante Arbeiten

Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Clinical, Cultural, Computational, and Regulatory Considerations to Deploy AI in Radiology: Perspectives of RSNA and MICCAI Experts

2024 · 23 Zit. · Radiology Artificial Intelligence

Machine Learning Models for Classifying High- and Low-Grade Gliomas: A Systematic Review and Quality of Reporting Analysis

2022 · 15 Zit. · Frontiers in Oncology

Artificial Intelligence for Neuroimaging and Musculoskeletal Radiology: Overview of Current Commercial Algorithms

2023 · 5 Zit. · Seminars in Roentgenology

Artificial Intelligence for Response Assessment in Pediatric Neuro-Oncology (AI-RAPNO), part 1: review of the current state of the art

2025 · 4 Zit. · The Lancet Oncology

OTHR-15. Assessment of TRIPOD adherence in articles developing machine learning models for differentiation of glioma from brain metastasis

2021 · 4 Zit. · Neuro-Oncology Advances

NIMG-35. MACHINE LEARNING GLIOMA GRADE PREDICTION LITERATURE: A TRIPOD ANALYSIS OF REPORTING QUALITY

2021 · 2 Zit. · Neuro-Oncology

Artificial Intelligence for Response Assessment in Pediatric Neuro-Oncology (AI-RAPNO), part 2: challenges, opportunities, and recommendations for clinical translation

2025 · 2 Zit. · The Lancet Oncology

AI-Generated Annotations Dataset for Diverse Cancer Radiology Collections in NCI Image Data Commons

2023 · 1 Zit. · arXiv (Cornell University)

Bias assessment of Artificial Intelligence papers in Glioma segmentation using TRIPOD (P14-9.005)

2022 · 0 Zit. · Neurology

Training the next generation of physicians for artificial intelligence-assisted clinical neuroradiology: ASNR MICCAI Brain Tumor Segmentation (BraTS) 2025 Lighthouse Challenge education platform

2025 · 0 Zit. · ArXiv.org

A Primer on Blockchain in Radiology — Data Ownership and Beyond

2024 · 0 Zit. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition

NIMG-38. MEASURING ADHERENCE TO TRIPOD OF ARTIFICIAL INTELLIGENCE PAPERS IN THE GLIOMA SEGMENTATION

2021 · 0 Zit. · Neuro-Oncology