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Journal of Medical Imaging (Bellingham, Wash.)|June 23, 2020
Overall survival prediction in glioblastoma patients using structural magnetic resonance imaging (MRI): advanced radiomic features may compensate for lack of advanced MRI modalitiesSpyridon Bakas, Gaurav Shukla, Hamed Akbari, et al.
Neuro-Oncology|April 5, 2018
In vivo evaluation of EGFRvIII mutation in primary glioblastoma patients via complex multiparametric MRI signatureHamed Akbari, Spyridon Bakas, Jared M Pisapia, et al.
Journal of Neurosurgery. Pediatrics|January 7, 2017
Correlations of atrial diameter and frontooccipital horn ratio with ventricle size in fetal ventriculomegalyJared M Pisapia, Martin Rozycki, Hamed Akbari, et al.
Neuro-Oncology Advances|September 5, 2020
Predicting pediatric optic pathway glioma progression using advanced magnetic resonance image analysis and machine learningJared M Pisapia, Hamed Akbari, Martin Rozycki, et al.
Proceedings of Spie--The International Society for Optical Engineering|March 22, 2021
Integrative radiomic analysis for pre-surgical prognostic stratification of glioblastoma patients: from advanced to basic MRI protocolsSpyridon Bakas, Gaurav Shukla, Hamed Akbari, et al.
Neurology|June 19, 2015
Memory, executive, and multidomain subtle cognitive impairment: clinical and biomarker findingsJon B Toledo, Maria Bjerke, Kewei Chen, et al.
Scientific Reports|March 25, 2018
Radiomic MRI signature reveals three distinct subtypes of glioblastoma with different clinical and molecular characteristics, offering prognostic value beyond IDH1Saima Rathore, Hamed Akbari, Martin Rozycki, et al.
JAMA Pediatrics|December 20, 2017
Use of Fetal Magnetic Resonance Image Analysis and Machine Learning to Predict the Need for Postnatal Cerebrospinal Fluid Diversion in Fetal VentriculomegalyJared M Pisapia, Hamed Akbari, Martin Rozycki, et al.
Schizophrenia Bulletin|November 30, 2017
Multisite Machine Learning Analysis Provides a Robust Structural Imaging Signature of Schizophrenia Detectable Across Diverse Patient Populations and Within IndividualsMartin Rozycki, Theodore D Satterthwaite, Nikolaos Koutsouleris, et al.
Cancer|March 5, 2020
Histopathology-validated machine learning radiographic biomarker for noninvasive discrimination between true progression and pseudo-progression in glioblastomaHamed Akbari, Saima Rathore, Spyridon Bakas, et al.
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