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Scalzo Fabien

Title(s)Member, CTSI
SchoolCTSI
Phone310-794-6414
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    Other Positions
    Title(s)Assistant Professor In-Residence, Neurology


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    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Researchers can login to make corrections and additions, or contact us for help.
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    1. Canac N, Ranjbaran M, O'Brien MJ, Asgari S, Scalzo F, Thorpe SG, Jalaleddini K, Thibeault CM, Wilk SJ, Hamilton RB. Algorithm for Reliable Detection of Pulse Onsets in Cerebral Blood Flow Velocity Signals. Front Neurol. 2019; 10:1072. PMID: 31681147.
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    2. Zhang X, Gong P, Sheng L, Lin Y, Fan Q, Zhang Y, Bao Y, Li S, Du H, Chen Z, Ding C, Wang H, Xu P, Zhang M, Scalzo F, Liebeskind DS, Xie Y, Liu D. Prognostic value of subclinical thyroid dysfunction in ischemic stroke patients treated with intravenous thrombolysis. Aging (Albany NY). 2019 Sep 03; 11(17):6839-6850. PMID: 31479421.
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    3. Asgari S, Canac N, Hamilton R, Scalzo F. Identification of Pulse Onset on Cerebral Blood Flow Velocity Waveforms: A Comparative Study. Biomed Res Int. 2019; 2019:3252178. PMID: 31355255.
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    4. Jalaleddini K, Canac N, Thorpe S, O'Brien M, Ranjbaran M, Delay B, Dorn A, Scalzo F, Thibeault C, Wilk S, Hamilton R. Objective Assessment of Beat Quality in Transcranial Doppler Measurement of Blood Flow Velocity in Cerebral Arteries. IEEE Trans Biomed Eng. 2019 Jun 17. PMID: 31217091.
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    5. Asgari S, Scalzo F, Kasprowicz M. Pattern Recognition in Medical Decision Support. Biomed Res Int. 2019; 2019:6048748. PMID: 31312659.
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    6. Zhong X, Cao R, Shakeri S, Scalzo F, Lee Y, Enzmann DR, Wu HH, Raman SS, Sung K. Deep transfer learning-based prostate cancer classification using 3 Tesla multi-parametric MRI. Abdom Radiol (NY). 2019 Jun; 44(6):2030-2039. PMID: 30460529.
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    7. Coy H, Hsieh K, Wu W, Nagarajan MB, Young JR, Douek ML, Brown MS, Scalzo F, Raman SS. Deep learning and radiomics: the utility of Google TensorFlow™ Inception in classifying clear cell renal cell carcinoma and oncocytoma on multiphasic CT. Abdom Radiol (NY). 2019 Jun; 44(6):2009-2020. PMID: 30778739.
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    8. Ho KC, Scalzo F, Sarma KV, Speier W, El-Saden S, Arnold C. Predicting ischemic stroke tissue fate using a deep convolutional neural network on source magnetic resonance perfusion images. J Med Imaging (Bellingham). 2019 Apr; 6(2):026001. PMID: 31131293.
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    9. Saber H, Somai M, Rajah GB, Scalzo F, Liebeskind DS. Predictive analytics and machine learning in stroke and neurovascular medicine. Neurol Res. 2019 Aug; 41(8):681-690. PMID: 31038007.
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    10. Leng X, Lan L, Ip HL, Abrigo J, Scalzo F, Liu H, Feng X, Chan KL, Fan FSY, Ma SH, Fang H, Xu Y, Li J, Zhang B, Xu Y, Soo YOY, Mok VCT, Yu SCH, Liebeskind DS, Wong KS, Leung TW. Hemodynamics and stroke risk in intracranial atherosclerotic disease. Ann Neurol. 2019 May; 85(5):752-764. PMID: 30840312.
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    11. Ho KC, Speier W, Zhang H, Scalzo F, El-Saden S, Arnold CW. A Machine Learning Approach for Classifying Ischemic Stroke Onset Time From Imaging. IEEE Trans Med Imaging. 2019 Jul; 38(7):1666-1676. PMID: 30802855.
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    12. Hamilton RB, Scalzo F, Baldwin K, Dorn A, Vespa P, Hu X, Bergsneider M. Opposing CSF hydrodynamic trends found in the cerebral aqueduct and prepontine cistern following shunt treatment in patients with normal pressure hydrocephalus. Fluids Barriers CNS. 2019 Jan 22; 16(1):2. PMID: 30665428.
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    13. Xi T, Jin F, Zhu Y, Wang J, Tang L, Wang Y, Liebeskind DS, Scalzo F, He Z. miR-27a-3p protects against blood-brain barrier disruption and brain injury after intracerebral hemorrhage by targeting endothelial aquaporin-11. J Biol Chem. 2018 12 28; 293(52):20041-20050. PMID: 30337368.
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    14. Bellwald S, Balasubramaniam R, Nagler M, Burri MS, Fischer SDA, Hakim A, Dobrocky T, Yu Y, Scalzo F, Heldner MR, Wiest R, Mono ML, Sarikya H, El-Koussy M, Mordasini P, Fischer U, Schroth G, Gralla J, Mattle HP, Arnold M, Liebeskind D, Jung S. Association of anemia and hemoglobin decrease during acute stroke treatment with infarct growth and clinical outcome. PLoS One. 2018; 13(9):e0203535. PMID: 30256814.
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    15. McKinley R, Hung F, Wiest R, Liebeskind DS, Scalzo F. A Machine Learning Approach to Perfusion Imaging With Dynamic Susceptibility Contrast MR. Front Neurol. 2018; 9:717. PMID: 30233482.
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    16. Maier IL, Scalzo F, Leyhe JR, Schregel K, Behme D, Tsogkas I, Psychogios MN, Liebeskind DS. Validation of collateral scoring on flat-detector multiphase CT angiography in patients with acute ischemic stroke. PLoS One. 2018; 13(8):e0202592. PMID: 30142167.
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    17. Thibeault CM, Thorpe S, O'Brien MJ, Canac N, Ranjbaran M, Patanam I, Sarraf A, LeVangie J, Scalzo F, Wilk SJ, Diaz-Arrastia R, Hamilton RB. A Cross-Sectional Study on Cerebral Hemodynamics After Mild Traumatic Brain Injury in a Pediatric Population. Front Neurol. 2018; 9:200. PMID: 29674994.
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    18. Asgari S, Moshirvaziri H, Scalzo F, Ramezan-Arab N. Quantitative measures of EEG for prediction of outcome in cardiac arrest subjects treated with hypothermia: a literature review. J Clin Monit Comput. 2018 Dec; 32(6):977-992. PMID: 29480385.
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    19. Krakauskaite S, Thibeault C, LaVangie J, Scheidt M, Martinez L, Seth-Hunter D, Wu A, O'Brien M, Scalzo F, Wilk SJ, Hamilton RB. Normative Ranges of Transcranial Doppler Metrics. Acta Neurochir Suppl. 2018; 126:269-273. PMID: 29492573.
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    20. Landers A, Neph R, Scalzo F, Ruan D, Sheng K. Performance Comparison of Knowledge-Based Dose Prediction Techniques Based on Limited Patient Data. Technol Cancer Res Treat. 2018 01 01; 17:1533033818811150. PMID: 30411666.
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    21. Yu Y, Guo D, Lou M, Liebeskind D, Scalzo F. Prediction of Hemorrhagic Transformation Severity in Acute Stroke From Source Perfusion MRI. IEEE Trans Biomed Eng. 2018 09; 65(9):2058-2065. PMID: 29989941.
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    22. Quachtran B, Hamilton R, Scalzo F. Detection of Intracranial Hypertension using Deep Learning. Proc IAPR Int Conf Pattern Recogn. 2016 Dec; 2016:2491-2496. PMID: 28936494.
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    23. Yu S, Ma SJ, Liebeskind DS, Yu D, Li N, Qiao XJ, Shao X, Yan L, Yoo B, Scalzo F, Hinman JD, Sharma LK, Rao N, Jahan R, Tateshima S, Duckwiler GR, Saver JL, Salamon N, Wang DJ. ASPECTS-based reperfusion status on arterial spin labeling is associated with clinical outcome in acute ischemic stroke patients. J Cereb Blood Flow Metab. 2018 03; 38(3):382-392. PMID: 28266894.
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    24. Lou X, Yu S, Scalzo F, Starkman S, Ali LK, Kim D, Rao NM, Hinman JD, Vespa PM, Jahan R, Tateshima S, Gonzalez NR, Duckwiler GR, Saver JL, Yoo B, Salamon N, Lyu J, Ma L, Wang DJ, Liebeskind DS. Multi-delay ASL can identify leptomeningeal collateral perfusion in endovascular therapy of ischemic stroke. Oncotarget. 2017 Jan 10; 8(2):2437-2443. PMID: 27974692.
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    25. Tang A, Scalzo F. Similarity Metric Learning for 2D to 3D Registration of Brain Vasculature. Adv Vis Comput. 2016 Dec; 10072:3-12. PMID: 30656290.
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    26. Liu D, Scalzo F, Rao NM, Hinman JD, Kim D, Ali LK, Saver JL, Sun W, Dai Q, Liu X, Liebeskind DS. Fluid-Attenuated Inversion Recovery Vascular Hyperintensity Topography, Novel Imaging Marker for Revascularization in Middle Cerebral Artery Occlusion. Stroke. 2016 11; 47(11):2763-2769. PMID: 27659851.
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    27. Scalzo F, Liebeskind DS. Perfusion Angiography in Acute Ischemic Stroke. Comput Math Methods Med. 2016; 2016:2478324. PMID: 27446232.
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    28. Rajagopal A, Hamilton RB, Scalzo F. Noise reduction in intracranial pressure signal using causal shape manifolds. Biomed Signal Process Control. 2016 Jul; 28:19-26. PMID: 28936230.
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    29. Jia B, Scalzo F, Agbayani E, Woolf GW, Liu L, Miao Z, Liebeskind DS. Multimodal CT techniques for cerebrovascular and hemodynamic evaluation of ischemic stroke: occlusion, collaterals, and perfusion. Expert Rev Neurother. 2016 05; 16(5):515-25. PMID: 26967556.
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    30. Stier N, Vincent N, Liebeskind D, Scalzo F. Deep Learning of Tissue Fate Features in Acute Ischemic Stroke. Proceedings (IEEE Int Conf Bioinformatics Biomed). 2015 Nov; 2015:1316-1321. PMID: 28919983.
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    31. Vincent N, Stier N, Yu S, Liebeskind DS, Wang DJ, Scalzo F. Detection of Hyperperfusion on Arterial Spin Labeling using Deep Learning. Proceedings (IEEE Int Conf Bioinformatics Biomed). 2015 Nov; 2015:1322-1327. PMID: 28936367.
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    32. Liu D, Sun W, Scalzo F, Xiong Y, Zhang X, Qiu Z, Zhu W, Ma M, Liu W, Xu G, Lu G, Liebeskind DS, Liu X. Early Magnetic Resonance Imaging Predicts Early Neurological Deterioration in Acute Middle Cerebral Artery Minor Stroke. J Stroke Cerebrovasc Dis. 2016 Feb; 25(2):469-74. PMID: 26654665.
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    33. Nam HS, Scalzo F, Leng X, Ip HL, Lee HS, Fan F, Chen X, Soo Y, Miao Z, Liu L, Feldmann E, Leung T, Wong KS, Liebeskind DS. Hemodynamic Impact of Systolic Blood Pressure and Hematocrit Calculated by Computational Fluid Dynamics in Patients with Intracranial Atherosclerosis. J Neuroimaging. 2016 05; 26(3):331-8. PMID: 26598796.
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    34. Liu D, Scalzo F, Starkman S, Rao NM, Hinman JD, Kim D, Ali LK, Saver JL, Noorian AR, Ng K, Liang C, Sheth SA, Yoo B, Liu X, Liebeskind DS. DWI Lesion Patterns Predict Outcome in Stroke Patients with Thrombolysis. Cerebrovasc Dis. 2015; 40(5-6):279-285. PMID: 26513397.
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    35. Yu S, Liebeskind DS, Dua S, Wilhalme H, Elashoff D, Qiao XJ, Alger JR, Sanossian N, Starkman S, Ali LK, Scalzo F, Lou X, Yoo B, Saver JL, Salamon N, Wang DJ. Postischemic hyperperfusion on arterial spin labeled perfusion MRI is linked to hemorrhagic transformation in stroke. J Cereb Blood Flow Metab. 2015 Mar 31; 35(4):630-7. PMID: 25564233.
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    36. Scalzo F, Nour M, Liebeskind DS. Data science of stroke imaging and enlightenment of the penumbra. Front Neurol. 2015; 6:8. PMID: 25798125.
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    37. Kim S, Scalzo F, Telesca D, Hu X. Ensemble of sparse classifiers for high-dimensional biological data. Int J Data Min Bioinform. 2015; 12(2):167-83. PMID: 26510301.
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    38. Leng X, Scalzo F, Ip HL, Johnson M, Fong AK, Fan FS, Chen X, Soo YO, Miao Z, Liu L, Feldmann E, Leung TW, Liebeskind DS, Wong KS. Computational fluid dynamics modeling of symptomatic intracranial atherosclerosis may predict risk of stroke recurrence. PLoS One. 2014; 9(5):e97531. PMID: 24818753.
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    39. Liebeskind DS, Kosinski AS, Lynn MJ, Scalzo F, Fong AK, Fariborz P, Chimowitz MI, Feldmann E. Noninvasive fractional flow on MRA predicts stroke risk of intracranial stenosis. J Neuroimaging. 2015 Jan-Feb; 25(1):87-91. PMID: 24593693.
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    40. Sedighian P, Subudhi AW, Scalzo F, Asgari S. Pediatric heart sound segmentation using hidden Markov model. Conf Proc IEEE Eng Med Biol Soc. 2014; 2014:5490-3. PMID: 25571237.
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    41. Nour M, Scalzo F, Liebeskind DS. Ischemia-reperfusion injury in stroke. Interv Neurol. 2013 Sep; 1(3-4):185-99. PMID: 25187778.
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    42. Scalzo F, Alger JR, Hu X, Saver JL, Dani KA, Muir KW, Demchuk AM, Coutts SB, Luby M, Warach S, Liebeskind DS. Multi-center prediction of hemorrhagic transformation in acute ischemic stroke using permeability imaging features. Magn Reson Imaging. 2013 Jul; 31(6):961-9. PMID: 23587928.
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    43. Scalzo F, Hu X. Semi-supervised detection of intracranial pressure alarms using waveform dynamics. Physiol Meas. 2013 Apr; 34(4):465-78. PMID: 23524637.
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    44. Scalzo F, Liebeskind D, Hu X. Reducing false intracranial pressure alarms using morphological waveform features. IEEE Trans Biomed Eng. 2013 Jan; 60(1):235-9. PMID: 22851230.
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    45. Scalzo F, Hao Q, Alger JR, Hu X, Liebeskind DS. Regional prediction of tissue fate in acute ischemic stroke. Ann Biomed Eng. 2012 Oct; 40(10):2177-87. PMID: 22592291.
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    46. Scalzo F, Hamilton R, Asgari S, Kim S, Hu X. Intracranial hypertension prediction using extremely randomized decision trees. Med Eng Phys. 2012 Oct; 34(8):1058-65. PMID: 22401795.
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    47. Scalzo F, Bergsneider M, Vespa PM, Martin NA, Hu X. Intracranial pressure signal morphology: real-time tracking. IEEE Pulse. 2012 Mar; 3(2):49-52. PMID: 22481746.
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    48. Scalzo F, Asgari S, Kim S, Bergsneider M, Hu X. Bayesian tracking of intracranial pressure signal morphology. Artif Intell Med. 2012 Feb; 54(2):115-23. PMID: 21968205.
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    49. Li R, Polat U, Scalzo F, Bavelier D. Reducing backward masking through action game training. J Vis. 2010 Dec 29; 10(14). PMID: 21191129.
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    50. Kim S, Scalzo F, Bergsneider M, Vespa P, Martin N, Hu X. Noninvasive intracranial pressure assessment based on a data-mining approach using a nonlinear mapping function. IEEE Trans Biomed Eng. 2012 Mar; 59(3):619-26. PMID: 21097375.
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    51. Scalzo F, Asgari S, Kim S, Bergsneider M, Hu X. Robust peak recognition in intracranial pressure signals. Biomed Eng Online. 2010 Oct 19; 9:61. PMID: 20959014.
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    52. Hu X, Glenn T, Scalzo F, Bergsneider M, Sarkiss C, Martin N, Vespa P. Intracranial pressure pulse morphological features improved detection of decreased cerebral blood flow. Physiol Meas. 2010 May; 31(5):679-95. PMID: 20348611.
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    53. Scalzo F, Xu P, Asgari S, Bergsneider M, Hu X. Regression analysis for peak designation in pulsatile pressure signals. Med Biol Eng Comput. 2009 Sep; 47(9):967-77. PMID: 19578916.
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    54. Hu X, Xu P, Scalzo F, Vespa P, Bergsneider M. Morphological clustering and analysis of continuous intracranial pressure. IEEE Trans Biomed Eng. 2009 Mar; 56(3):696-705. PMID: 19272879.
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    55. Scalzo F, Xu P, Bergsneider M, Hu X. Nonlinear regression for sub-peak detection of intracranial pressure signals. Conf Proc IEEE Eng Med Biol Soc. 2008; 2008:5411-4. PMID: 19163941.
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    56. Xu P, Scalzo F, Bergsneider M, Vespa P, Chad M, Hu X. Wavelet entropy characterization of elevated intracranial pressure. Conf Proc IEEE Eng Med Biol Soc. 2008; 2008:2924-7. PMID: 19163318.
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