Selected Publications
2022
Afridi, M., Jain, A., Aboain, M., Payabvash, S. (2022) Brain Tumor Imaging: Applications of Artificial Intelligence. Ultrasound, CT and MRI, Volume 43, Issue 2, Pages 153-169. doi: 10.1053/j.sult.2022.02.005
Avery, E., Sanelli, P. C., Aboian, M., Payabvash, S. (2022) Radiomics: A Primer on Processing Workflow and Analysis. Seminars in Ultrasound, CT and MRI, Volume 43, Issue 2, Pages 142-146. doi: 10.1053/j.sult.2022.02.003
Haider SP, Burtness B, Yarbrough WG, Payabvash S. Applications of radiomics in precision diagnosis, prognostication and treatment planning of head and neck squamous cell carcinomas. Cancers Head Neck. 2020;5:6. [PMID: 32391171]
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Payabvash S, Aboian M, Tihan T, Cha S. Machine Learning Decision Tree Models for Differentiation of Posterior Fossa Tumors Using Diffusion Histogram Analysis and Structural MRI Findings. Front Oncol. 2020; 10:71. [PMID: 32117728]
Haider SP, Sharaf K, Zeevi T, Baumeister P, Reichel C, Forghani R, Kann BH, Petukhova A, Judson BL, Prasad ML, Liu C, Burtness B, Mahajan A, Payabvash S. Prediction of post-radiotherapy locoregional progression in HPV-associated oropharyngeal squamous cell carcinoma using machine-learning analysis of baseline PET/CT radiomics. Transl Oncol. 2020;14(1):100906. [PMID: 33075658]
Al-Dasuqi K, Payabvash S,* Torres-Flores GA, Strander SM, Nguyen CK, Peshwe KU, Kodali S, Silverman A, Malhotra A, Johnson MH, Matouk CC, Schindler JL, Sansing LH, Falcone GJ, Sheth KN, Petersen NH. Effects of Collateral Status on Infarct Distribution Following Endovascular Therapy in Large Vessel Occlusion Stroke. Stroke. 2020;51(9):e193-e202 [PMID: 32781941] * Co-last-author and the correspondence
Haider SP, Zeevi T, Baumeister P, Reichel C, Sharaf K, Forghani R, Kann BH, Judson BL, Prasad ML, Burtness B, Mahajan A, Payabvash S. Potential Added Value of PET/CT Radiomics for Survival Prognostication beyond AJCC 8th Edition Staging in Oropharyngeal Squamous Cell Carcinoma. Cancers (Basel). 2020;12(7):E1778. [PMID: 32635216]
Haider SP, Mahajan A, Zeevi T, Baumeister P, Reichel C, Sharaf K, Forghani R, Kucukkaya AS, Kann BH, Judson BL, Prasad ML, Burtness B, Payabvash S. PET/CT radiomics signature of human papilloma virus association in oropharyngeal squamous cell carcinoma. Eur J Nucl Med Mol Imaging. 2020;47(13):2978-91 [PMID: 32399621]
Mak A, Matouk C, Avery EW, Behland J, Frey D, Madai VI, Vajkoczy P, Malhotra A, Abou Karam A, Sanelli P, Falcone GJ, Petersen NH, Sansing L, Sheth KN, Payabvash S. Similar admission NIHSS may represent larger tissue-at-risk in patients with right-sided versus left-sided large vessel occlusion. J Neurointerv Surg. 2022;14(10):985-991. [PMID: 34645705]
Haider SP, Qureshi A, Jain A, Tharmaseelan H, Berson ER, Majidi S, Filippi CG, Mak A, Werring D, Acosta JN, Malhotra A, Kim JA, Sansing LH, Falcone G, Sheth K, Payabvash S. The coronal plane maximum diameter of deep intracerebral hemorrhage predicts functional outcome more accurately than hematoma volume. Int J Stroke. 2022;17(7):777-784 [PMID: 34569877]
Avery EW, Behland J, Mak A, Haider SP, Zeevi T, Sanelli PC, Filippi CG, Malhotra A, Matouk CC, Griessenauer CJ, Zand R, Hendrix P, Abedi V, Falcone GJ, Petersen N, Sansing LH, Sheth KN, Payabvash S. CT angiographic radiomics signature for risk stratification in anterior large vessel occlusion stroke. Neuroimage Clin. 2022;34:103034. [PMID: 35550243]
Bobba PS, Weber CF, Mak A, Mozayan A, Malhotra A, Sheth KN, Taylor SN, Vossough A, Grant PE, Scheinost D, Constable RT, Ment LR, Payabvash S. Age-related topographic map of magnetic resonance diffusion metrics in neonatal brains. Hum Brain Mapp. 2022;43(14):4326-4334. [PMID: 35599634]
Avery EW, Behland J, Mak A, Haider SP, Zeevi T, Sanelli PC, Filippi CG, Malhotra A, Matouk CC, Griessenauer CJ, Zand R, Hendrix P, Abedi V, Falcone GJ, Petersen N, Sansing LH, Sheth KN, Payabvash S. Dataset on acute stroke risk stratification from CT angiographic radiomics. Data Brief. 2022;44:108542 [PMID: 36060820]
Weber CF, Lake EMR, Haider SP, Mozayan A, Mukherjee P, Scheinost D, Bamford NS, Ment L, Constable T, Payabvash S. Age-dependent white matter microstructural disintegrity in autism spectrum disorder. Front Neurosci. 2022;16:957018 [PMID: 36161157]
Bobba PS, Malhotra A, Sheth KN, Taylor SN, Ment LR, Payabvash S. Brain injury patterns in hypoxic ischemic encephalopathy of term neonates. J Neuroimaging. 2022 Online ahead of print [PMID: 36164277]
2021
Mak A, Matouk C, Avery EW, Behind J, Frey D, Madai VI, Vajkoczy P, Malhotra A, Abou Karam A, Sanelli P, Falcone GJ, Petersen NH, Sansing L, Sheth KN, Payabvash S. Similar admission NIHSS may represent larger tissue-at-risk in patients with right-sided versus left-sided large vessel occlusion. Journal of NeuroInterventional Surgery. October 2021. doi: 10.1136/neurintsurg-2021-017785
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Haider SP, Qureshi AI, Jain A, Tharmaseelan H, Berson ER, Majidi S, Filippi CG, Mak A, Werring DJ, Acosta JA, Malhotra A, Kim JA, Sansing LH, Falcone GJ, Sheth KN, Payabvash S. The coronal plane maximum diameter of deep intracerebral hemorrhage predicts functional outcome more accurately than hematoma volume. International Journal of Stroke. October 2021. doi:10.1177/17474930211050749
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Jain A, Malhotra A, Payabvash S. Imaging of Spontaneous Intracerebral Hemorrhage. Neuroimaging Clin N Am. 2021 May;31(2):193-203. doi: 10.1016/j.nic.2021.02.003
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Haider SP, Qureshi AI, Jain A, Tharmaseelan H, Berson ER, Zeevi T, Majidi S, Filippi CG, Iseke S, Gross M, Acosta JN, Malhotra A, Kim JA, Sansing LH, Falcone GJ, Sheth KN, Payabvash S. Admission CT radiomic signatures outperform hematoma volume in predicting baseline clinical severity and functional outcome in the ATACH-2 trial intracerebral hemorrhage population. Eur J Neurol. 2021 Jun 30. doi: 10.1111/ene.15000
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Haider, S.P., Sharaf, K., Zeevi, T., Baumeister, P., Reichel, C., Forghani, R., Kann, B.H., Petukhova, A., Judson, B.L., Prasad, M.L., Liu, C., Burtness, B., Mahajan, A., Payabvash, S., 2021. Prediction of post-radiotherapy locoregional progression in HPV-associated oropharyngeal squamous cell carcinoma using machine-learning analysis of baseline PET/CT radiomics. Translational Oncology, 14. doi:/10.1016/j.tranon.2020.100906
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2020
Haider, S.P., Zeevi, T., Baumeister, P., Reichel, C., Sharaf, K., Forghani, R., Kann, B.H., Judson, B.L., Prasad, M.L., Burtness, B., Mahajan, A., Payabvash, S., 2020. Potential Added Value of PET/CT Radiomics for Survival Prognostication beyond AJCC 8th Edition Staging in Oropharyngeal Squamous Cell Carcinoma. Cancers, 12(1778). doi:10.3390/cancers12071778
Haider, S. P., Burtness, B., Yarbrough, W. G., & Payabvash, S. (2020). Applications of radiomics in precision diagnosis, prognostication and treatment planning of head and neck squamous cell carcinomas. Cancers of the Head & Neck, 5(1). doi:10.1186/s41199-020-00053-7
Payabvash, S., Aboian, M., Tihan, T., Cha, S., 2020. Machine Learning Decision Tree Models for Differentiation of Posterior Fossa Tumors Using Diffusion Histogram Analysis and Structural MRI Findings. Frontiers in Oncology. doi:10.3389/fonc.2020.00071
Haider SP, Mahajan A, Zeevi T, et al. PET/CT radiomics signature of human papilloma virus association in oropharyngeal squamous cell carcinoma [published online ahead of print, 2020 May 12]. Eur J Nucl Med Mol Imaging. 2020;10.1007/s00259-020-04839-2. doi:10.1007/s00259-020-04839-2
2019
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Payabvash, S., Chan, A., Jabehdar Maralani, P., & Malhotra, A. (2019). Quantitative diffusion magnetic resonance imaging for prediction of human papillomavirus status in head and neck squamous-cell carcinoma: A systematic review and meta-analysis. The Neuroradiology Journal, 32(4), 2019;32(4):232-240. [PMID: 31084347]
Payabvash, S., Palacios, E. M., Owen, J. P., Wang, M. B., Tavassoli, T., Gerdes, M., . . . Mukherjee, P. (2019). White Matter Connectome Edge Density in Children with Autism Spectrum Disorders: Potential Imaging Biomarkers Using Machine-Learning Models. Brain Connectivity, 9(2), 209-220. [PMID: 30661372]
Payabvash, S., Brackett, A., Forghani, R., Malhotra, A. (2019). Differentation of lymphotamous, metastatic, and non-malignant lymphadenopathy in the neck with quantitative diffusion-weighted imaging: systematic review and meta-analysis. Neuroradiology, 61(8):897-910. [PMID: 31175398]
Payabvash S, Palacios EM, Owen JP, Wang MB, Tavassoli T, Gerdes M, Brandes-Aitken A, Mukherjee P, Marco EJ. White Matter Connectome Correlates of Auditory Over-Responsivity: Edge Density Imaging and Machine-Learning Classifiers. Front Integr Neurosci. 2019;29;13:10. [PMID: 30983979]
2018
Payabvash S, Tihan T, Cha S. Differentiation of Cerebellar Hemisphere Tumors: Combining Apparent Diffusion Coefficient Histogram Analysis and Structural MRI Features. J Neuroimaging. 2018;28(6):656-665. [PMID: 30066449]
Payabvash S. Quantitative diffusion magnetic resonance imaging in head and neck tumors. Quant Imaging Med Surg 2018;8(10):1052-1065. [PMID: 30598882]