Selected Publications
2025
Tran AT, Wen J, Abou Karam G, Zeevi D, Qureshi AI, Malhotra A, Majidi S, Valizadeh N, Murthy SB, Sabuncu MR, Roh D, Falcone GJ, Sheth KN, Payabvash S. Comparing Handcrafted Radiomics Versus Latent Deep Learning Features of Admission Head CT for Hemorrhagic Stroke Outcome Prediction. BioTech (Basel). 2025 Nov 2;14(4):87. doi: 10.3390/biotech14040087. PMID: 41283322; PMCID: PMC12641684.
Acosta-Rodriguez H, Bobba P, Stephan A, Zeevi T, Malhotra A, Tran AT, Kaltenhauser S, Ment L, Payabvash S. Impact of Childhood Neighborhood Deprivation on White Matter and Functional Connectivity During Adolescence. J Neuroimaging. 2025 Sep-Oct;35(5):e70087. doi: 10.1111/jon.70087. PMID: 40916058; PMCID: PMC12967315.
Acosta-Rodriguez H, Bobba P, Zeevi T, Ment LR, Payabvash S. Neuroimaging markers of cognition in late childhood associated with moderate to late preterm birth. Pediatr Res. 2026 Feb;99(3):936-945. doi: 10.1038/s41390-025-04286-5. Epub 2025 Aug 2. PMID: 40753115; PMCID: PMC13037730.
Jadoon MM, Torres-Lopez V, Butt SA, Murthy SB, Falcone GJ, Payabvash S. Automatic Detection and Classification of Cerebral Microbleeds Using 3D CNN. J Image Graph. 2025;13(3):275-285. doi: 10.18178/joig.13.3.275-285. Epub 2025 Jun 12. PMID: 40672530; PMCID: PMC12266711.
Payabvash S. Advances in Cerebrovascular Imaging and Interventions. Diagnostics (Basel). 2025 Apr 20;15(8):1045. doi: 10.3390/diagnostics15081045. PMID: 40310403; PMCID: PMC12025964.
Tran AT, Zeevi T, Payabvash S. Strategies to Improve the Robustness and Generalizability of Deep Learning Segmentation and Classification in Neuroimaging. BioMedInformatics. 2025 Jun;5(2):20. doi: 10.3390/biomedinformatics5020020. Epub 2025 Apr 14. PMID: 40271381; PMCID: PMC12014193.
Acosta-Rodriguez H, Bobba P, Zeevi T, Ment LR, Payabvash S. The Effect of Prenatal Marijuana Exposure on White Matter Microstructure and Cortical Morphology during Late Childhood. AJNR Am J Neuroradiol. 2025 Oct 1;46(10):2176-2185. doi: 10.3174/ajnr.A8774. PMID: 40194858; PMCID: PMC12633684.
Abou Karam G, Chen MC, Zeevi D, Harms BC, Berson E, Torres-Lopez VM, Rivier CA, Malhotra A, Qureshi AI, Falcone GJ, Sheth KN, Payabvash S. Voxel-Wise Map of Intracerebral Hemorrhage Locations Associated With Worse Outcomes. Stroke. 2025 Apr;56(4):868-877. doi: 10.1161/STROKEAHA.124.048453. Epub 2025 Mar 7. PMID: 40052269; PMCID: PMC11932768.
Tran AT, Desser D, Zeevi T, Abou Karam G, Zietz J, Dell'Orco A, Chen MC, Malhotra A, Qureshi AI, Murthy SB, Majidi S, Falcone GJ, Sheth KN, Nawabi J, Payabvash S. Optimizing Automated Hematoma Expansion Classification from Baseline and Follow-Up Head Computed Tomography. Appl Sci (Basel). 2025 Jan;15(1):111. doi: 10.3390/app15010111. Epub 2024 Dec 27. PMID: 40046237; PMCID: PMC11882137.
Tran AT, Abou Karam G, Zeevi D, Qureshi AI, Malhotra A, Majidi S, Murthy SB, Park S, Kontos D, Falcone GJ, Sheth KN, Payabvash S. Improving the Robustness of Deep Learning Models in Predicting Hematoma Expansion from Admission Head CT. AJNR Am J Neuroradiol. 2025 Jul 1;46(7):1404-1411. doi: 10.3174/ajnr.A8650. PMID: 39794133; PMCID: PMC12453420.
Payabvash S. Predicting Intracerebral Hemorrhage Outcomes Using Deep Learning Models to Extract Head CT Imaging Features. Acad Radiol. 2025 Mar;32(3):1584-1585. doi: 10.1016/j.acra.2024.12.019. Epub 2024 Dec 18. PMID: 39701844.
2024
Tran AT, Desser D, Zeevi T, Abou Karam G, Zietz J, Dell'Orco A, Chen MC, Malhotra A, Qureshi AI, Murthy SB, Majidi S, Falcone GJ, Sheth KN, Nawabi J, Payabvash S. Optimizing Automated Hematoma Expansion Classification from Baseline and Follow-Up Head Computed Tomography. Appl Sci (Basel). 2025 Jan;15(1):111. doi: 10.3390/app15010111. Epub 2024 Dec 27. PMID: 40046237.
Tran AT, Desser D, Zeevi T, Abou Karam G, Dierksen F, Dell'Orco A, Kniep H, Hanning U, Fiehler J, Zietz J, Sanelli PC, Malhotra A, Duncan JS, Aneja S, Falcone GJ, Qureshi AI, Sheth KN, Nawabi J, Payabvash S. A Hybrid Transformer-Convolutional Neural Network for Segmentation of Intracerebral Hemorrhage and Perihematomal Edema on Non-Contrast Head Computed Tomography (CT) with Uncertainty Quantification to Improve Confidence. Bioengineering (Basel). 2024 Dec 15;11(12):1274. doi: 10.3390/bioengineering11121274. PMID: 39768092.
Dierksen F, Sommer JK, Tran AT, Lin H, Haider SP, Maier IL, Aneja S, Sanelli PC, Malhotra A, Qureshi AI, Claassen J, Park S, Murthy SB, Falcone GJ, Sheth KN, Payabvash S. Machine Learning Models for 3-Month Outcome Prediction Using Radiomics of Intracerebral Hemorrhage and Perihematomal Edema from Admission Head Computed Tomography (CT). Diagnostics (Basel). 2024 Dec 16;14(24):2827. doi: 10.3390/diagnostics14242827. PMID: 39767188.
Acosta-Rodriguez H, Yuan C, Bobba P, Stephan A, Zeevi T, Malhotra A, Tran AT, Kaltenhauser S, Payabvash S. Neuroimaging Correlates of the NIH-Toolbox-Driven Cognitive Metrics in Children. J Integr Neurosci. 2024 Dec 12;23(12):217. doi: 10.31083/j.jin2312217. PMID: 39735971.
Payabvash S. Predicting Intracerebral Hemorrhage Outcomes Using Deep Learning Models to Extract Head CT Imaging Features. Acad Radiol. 2025 Mar;32(3):1584-1585. doi: 10.1016/j.acra.2024.12.019. Epub 2024 Dec 18. PMID: 39701844.
Sommer J, Dierksen F, Zeevi T, Tran AT, Avery EW, Mak A, Malhotra A, Matouk CC, Falcone GJ, Torres-Lopez V, Aneja S, Duncan J, Sansing LH, Sheth KN, Payabvash S. Deep learning for prediction of post-thrombectomy outcomes based on admission CT angiography in large vessel occlusion stroke. Front Artif Intell. 2024 Aug 1;7:1369702. doi: 10.3389/frai.2024.1369702. eCollection 2024. PMID: 39149161.
Zaman S, Dierksen F, Knapp A, Haider SP, Abou Karam G, Qureshi AI, Falcone GJ, Sheth KN, Payabvash S. Radiomic Features of Acute Cerebral Hemorrhage on Non-Contrast CT Associated with Patient Survival. Diagnostics (Basel). 2024 Apr 30;14(9):944. doi: 10.3390/diagnostics14090944. PMID: 38732358.
Haider SP, Zeevi T, Sharaf K, Gross M, Mahajan A, Kann BH, Judson BL, Prasad ML, Burtness B, Aboian M, Canis M, Reichel CA, Baumeister P, Payabvash S. Impact of 18F-FDG PET Intensity Normalization on Radiomic Features of Oropharyngeal Squamous Cell Carcinomas and Machine Learning-Generated Biomarkers. J Nucl Med. 2024 May 1;65(5):803-809. doi: 10.2967/jnumed.123.266637. PMID: 38514087.
Avery EW, Abou-Karam A, Abi-Fadel S, Behland J, Mak A, Haider SP, Zeevi T, Sanelli PC, Filippi CG, Malhotra A, Matouk CC, Falcone GJ, Petersen N, Sansing LH, Sheth KN, Payabvash S. Radiomics-Based Prediction of Collateral Status from CT Angiography of Patients Following a Large Vessel Occlusion Stroke. Diagnostics (Basel). 2024 Feb 23;14(5):485. doi: 10.3390/diagnostics14050485. PMID: 38472957.
Abou Karam G, Chen MC, Zeevi D, Harms BC, Torres-Lopez VM, Rivier CA, Malhotra A, de Havenon A, Falcone GJ, Sheth KN, Payabvash S. Time-Dependent Changes in Hematoma Expansion Rate after Supratentorial Intracerebral Hemorrhage and Its Relationship with Neurological Deterioration and Functional Outcome. Diagnostics (Basel). 2024 Jan 31;14(3):308. doi: 10.3390/diagnostics14030308. PMID: 38337824.
Tran AT, Zeevi T, Haider SP, Abou Karam G, Berson ER, Tharmaseelan H, Qureshi AI, Sanelli PC, Werring DJ, Malhotra A, Petersen NH, de Havenon A, Falcone GJ, Sheth KN, Payabvash S. Uncertainty-aware deep-learning model for prediction of supratentorial hematoma expansion from admission non-contrast head computed tomography scan. NPJ Digit Med. 2024 Feb 6;7(1):26. doi: 10.1038/s41746-024-01007-w. PMID: 38321131.
Dierksen F, Tran AT, Zeevi T, Maier IL, Qureshi AI, Sanelli PC, Werring DJ, Malhotra A, Falcone GJ, Sheth KN, Payabvash S. Peri-hematomal edema shape features related to 3-month outcome in acute supratentorial intracerebral hemorrhage. Eur Stroke J. 2024 Jun;9(2):383-390. doi: 10.1177/23969873231223814. Epub 2024 Jan 5. PMID: 38179883.
2023
Weber CF, Lake EMR, Haider SP, Mozayan A, Bobba PS, Mukherjee P, Scheinost D, Constable RT, Ment L, Payabvash S. Autism spectrum disorder-specific changes in white matter connectome edge density based on functionally defined nodes. Front Neurosci. 2023 Nov 23;17:1285396. doi: 10.3389/fnins.2023.1285396. eCollection 2023. PMID: 38075286.
Bobba PS, Weber CF, Malhotra A, Bahtiyar MO, Copel J, Taylor SN, Ment LR, Payabvash S. Early brain microstructural development among preterm infants requiring caesarean section versus those delivered vaginally. Sci Rep. 2023 Dec 6;13(1):21514. doi: 10.1038/s41598-023-48963-z. PMID: 38057452.
Bobba PS, Weber CF, Malhotra A, Bahtiyar MO, Copel J, Taylor SN, Ment LR, Payabvash S. Early brain microstructural development among preterm infants requiring caesarean section versus those delivered vaginally. Res Sq [Preprint]. 2023 Oct 6:rs.3.rs-3389209. doi: 10.21203/rs.3.rs-3389209/v1. Update in: Sci Rep. 2023 Dec 6;13(1):21514. doi: 10.1038/s41598-023-48963-z. PMID: 37886582.
Abou Karam G, Tharmaseelan H, Aboian MS, Malhotra A, Gilmore EJ, Falcone GJ, de Havenon A, Sheth KN, Payabvash S. Clinical implications of Peri-hematomal edema microperfusion fraction in intracerebral hemorrhage intravoxel incoherent motion imaging - A pilot study. J Stroke Cerebrovasc Dis. 2023 Nov;32(11):107375. doi: 10.1016/j.jstrokecerebrovasdis.2023.107375. Epub 2023 Sep 20. PMID: 37738914.
Haider SP, Qureshi AI, Jain A, Tharmaseelan H, Berson ER, Zeevi T, Werring DJ, Gross M, Mak A, Malhotra A, Sansing LH, Falcone GJ, Sheth KN, Payabvash S. Radiomic markers of intracerebral hemorrhage expansion on non-contrast CT: independent validation and comparison with visual markers. Front Neurosci. 2023 Aug 16;17:1225342. doi: 10.3389/fnins.2023.1225342. eCollection 2023. PMID: 37655013.
Bobba PS, Weber CF, Higaki ARA, Mukherjee P, Scheinost D, Constable RT, Ment L, Taylor SN, Payabvash S. Impact of postnatal weight gain on brain white matter maturation in very preterm infants. J Neuroimaging. 2023 Nov-Dec;33(6):991-1002. doi: 10.1111/jon.13145. Epub 2023 Jul 22. PMID: 37483073.
Kaltenhauser S, Weber CF, Lin H, Mozayan A, Malhotra A, Constable RT, Acosta JN, Falcone GJ, Taylor SN, Ment LR, Sheth KN, Payabvash S. Association of Body Mass Index and Waist Circumference With Imaging Metrics of Brain Integrity and Functional Connectivity in Children Aged 9 to 10 Years in the US, 2016-2018. JAMA Netw Open. 2023 May 1;6(5):e2314193. doi: 10.1001/jamanetworkopen.2023.14193. PMID: 37200030.
Berson ER, Aboian MS, Malhotra A, Payabvash S. Artificial Intelligence for Neuroimaging and Musculoskeletal Radiology: Overview of Current Commercial Algorithms. Semin Roentgenol. 2023 Apr;58(2):178-183. doi: 10.1053/j.ro.2023.03.002. Epub 2023 Mar 31. PMID: 37087138.
Lin H, Haider SP, Kaltenhauser S, Mozayan A, Malhotra A, Constable RT, Scheinost D, Ment LR, Konrad K, Payabvash S. Population level multimodal neuroimaging correlates of attention-deficit hyperactivity disorder among children. Front Neurosci. 2023 Feb 22;17:1138670. doi: 10.3389/fnins.2023.1138670. eCollection 2023. PMID: 36908780.
Acosta JN, Haider SP, Rivier C, Leasure AC, Sheth KN, Falcone GJ, Payabvash S. Blood pressure-related white matter microstructural disintegrity and associated cognitive function impairment in asymptomatic adults. Stroke Vasc Neurol. 2023 Oct;8(5):358-367. doi: 10.1136/svn-2022-001929. Epub 2023 Mar 6. PMID: 36878613.
Berson ER, Mozayan A, Peterec S, Taylor SN, Bamford NS, Ment LR, Rowe E, Lisse S, Ehrlich L, Silva CT, Goodman TR, Payabvash S. A 1-Tesla MRI system for dedicated brain imaging in the neonatal intensive care unit. Front Neurosci. 2023 Feb 10;17:1132173. doi: 10.3389/fnins.2023.1132173. eCollection 2023. PMID: 36845429.
Bobba PS, Malhotra A, Sheth KN, Taylor SN, Ment LR, Payabvash S. Brain injury patterns in hypoxic ischemic encephalopathy of term neonates. J Neuroimaging. 2023 Jan;33(1):79-84. doi: 10.1111/jon.13052. Epub 2022 Sep 26. PMID: 36164277.
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]
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
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
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
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
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
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
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]