Mariam Aboian

Indiana University Health — United States

Medicine · Health Sciences

25h-index3.1kcitations215works3.12yr avg
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Research Topics

Glioma Diagnosis and Treatment(93), Radiomics and Machine Learning in Medical Imaging(85), Brain Tumor Detection and Classification(45), Medical Imaging Techniques and Applications(39), Brain Metastases and Treatment(29)

Publications210 total

IMG-66. Self-supervised multimodal learning for survival prediction in glioblastoma: a multicenter study from the ReSPOND consortium
Neuro-Oncology·2025
Artificial Intelligence for Response Assessment in Pediatric Neuro-Oncology (AI-RAPNO), part 1: review of the current state of the art
The Lancet Oncology·2025· 4 cited
Artificial Intelligence for Response Assessment in Pediatric Neuro-Oncology (AI-RAPNO), part 2: challenges, opportunities, and recommendations for clinical translation
The Lancet Oncology·2025· 2 cited
OS02.6.A MICCAI BRAIN TUMOR SEGMENTATION - METASTASES (BRATS-METS) 2025 LIGHTHOUSE CHALLENGE: COMPETITIVE ENVIRONMENT FOR THE DEVELOPMENT OF ROBUST AUTOMATIC SEGMENTATION ALGORITHMS FOR PRE- AND POST-TREATMENT BRAIN METASTASES
Neuro-Oncology·2025Open Access
Training the next generation of physicians for artificial intelligence-assisted clinical neuroradiology: ASNR MICCAI Brain Tumor Segmentation (BraTS) 2025 Lighthouse Challenge education platform
arXiv (Cornell University)·2025Open Access
American Society of Neuroradiology Consensus Statement: Integrating Neuro-PET Interpretation into Neuroradiology Training and Practice
American Journal of Neuroradiology·2025Open Access
Update to the RANO working group and EANO recommendations for the clinical use of PET imaging in gliomas
The Lancet Oncology·2025· 13 citedOpen Access
BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023
The Journal of Machine Learning for Biomedical Imaging·2025· 6 citedOpen Access
An 11,000-Study Open-Access Dataset of Longitudinal Magnetic Resonance Images of Brain Metastases
arXiv (Cornell University)·2025Open Access
BraTS orchestrator : Democratizing and Disseminating state-of-the-art brain tumor image analysis
arXiv (Cornell University)·2025Open Access
FDG-PET Intensity Normalization Improves Radiomics-Based Survival Prediction in Patients with Oropharyngeal Cancer: A Comparison of the Standardized Uptake Value with Alternative Normalization Techniques
American Journal of Neuroradiology·2025· 1 citedOpen Access
Image-Based Search in Radiology: Identification of Brain Tumor Subtypes within Databases Using MRI-Based Radiomic Features
American Journal of Neuroradiology·2025· 2 citedOpen Access
Volumetric Abdominal Aortic Aneurysm Analysis in Post EVAR Surveillance Settings
Annals of Vascular Surgery·2025
The Central Vein Sign as a Radiologic Tool to Predict the Diagnosis of Radiation Necrosis in Intracranial Metastatic Cancer Patients
Clinical and Translational Neuroscience·2025· 1 citedOpen Access
Central Vein Sign as a Radiologic Tool to Predict the Diagnosis of Radiation Necrosis in Intracranial Metastatic Cancer Patients
Preprints.org·2025Open Access
Deep Learning Identified Extra-Prostatic Extension and Seminal Vesicle Invasion as an MRI Biomarker for Prostate Cancer Outcomes
2025
Machine learning-based prognostic subgrouping of glioblastoma: A multicenter study
Neuro-Oncology·2024· 5 citedOpen Access
Automated MR Spectroscopy single-voxel placement in suspected diffuse glioma based on tumor biology
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·2024
Machine Learning-Based Classification of IDH Mutant Gliomas Using VASARI and Radiomics Features
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·2024
Reevaluating the Role of T2/FLAIR Mismatch Sign: Improving Diagnostic Accuracy With Qualitative MRI Features?
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·2024
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Frequent Co-authors

Sabine Mueller(11), Soonmee Cha(10), Cassie Kline(9), MingDe Lin(8), Anahita Fathi Kazerooni(8), Spyridon Bakas(8), David A. Solomon(7), Ariana Familiar(7), Seyedmehdi Payabvash(7), Gabriel Cassinelli Petersen(7), Khaled Bousabarah(7), Ujjwal Baid(7), Adam Resnick(6), Sara Merkaj(6), Evan Calabrese(6), Anastasia Janas(6), Steve Braunstein(5), Marc von Reppert(5), Maruf Adewole(5), Dominic LaBella(5)