Fabien Scalzo, Ph.D.

Fabien Scalzo, Ph.D.

Publications

• Bartusis L, Krakauskaite S, Kevalaite U, Judickaite A, Zizas A, Stoskuviene A, Chaleckas E, Deimantavicius M, Hamarat Y, Scalzo F, Berskiene K, Januleviciene I, Ragauskas A. Non-Invasive Monitoring of Intracranial Pressure Pulse Waves from Closed Eyelids in Patients with Normal-Tension Glaucoma.. Medicina (Kaunas, Lithuania), 2025.
• Misra S, Wang S, Quinn TJ, Dawson J, Zelano J, Tanaka T, Grotta JC, Khan E, Beriwal N, Funaro MC, Perla S, Dev P, Larsson D, Hussain T, Liebeskind DS, Yasuda CL, Altalib HH, Zaveri HP, Elshahat A, Hitawala G, Wang EY, Kitagawa R, Pathak A, Scalzo F, Ihara M, Sunnerhagen KS, Walters MR, Zhao Y, Jette N, Kasner SE, Kwan P, Mishra NK. Antiseizure Medications in Poststroke Seizures: A Systematic Review and Network Meta-Analysis.. Neurology, 2025.
• Sogancioglu E, Ginneken BV, Behrendt F, Bengs M, Schlaefer A, Radu M, Xu D, Sheng K, Scalzo F, Marcus E, Papa S, Teuwen J, Scholten ET, Schalekamp S, Hendrix N, Jacobs C, Hendrix W, Sanchez CI, Murphy K. Nodule Detection and Generation on Chest X-Rays: NODE21 Challenge.. IEEE transactions on medical imaging, 2024.
• Mohammadzadeh V, Wu S, Davis T, Vepa A, Morales E, Besharati S, Edalati K, Martinyan J, Rafiee M, Martynian A, Scalzo F, Caprioli J, Nouri-Mahdavi K. Prediction of visual field progression with serial optic disc photographs using deep learning.. The British journal of ophthalmology, 2024.
• Wei M, Krakauskaite S, Subramanian S, Scalzo F. Peak detection in intracranial pressure signal waveforms: a comparative study.. Biomedical engineering online, 2024.
• Zheng H, Hung ALY, Miao Q, Song W, Scalzo F, Raman SS, Zhao K, Sung K. AtPCa-Net: anatomical-aware prostate cancer detection network on multi-parametric MRI.. Scientific reports, 2024.
• Mohammadzadeh V, Wu S, Besharati S, Davis T, Vepa A, Morales E, Edalati K, Rafiee M, Martinyan A, Zhang D, Scalzo F, Caprioli J, Nouri-Mahdavi K. Prediction of Visual Field Progression with Baseline and Longitudinal Structural Measurements Using Deep Learning.. American journal of ophthalmology, 2024.
• Mishra NK, Kwan P, Tanaka T, Sunnerhagen KS, Dawson J, Zhao Y, Misra S, Wang S, Sharma VK, Mazumder R, Funaro MC, Ihara M, Nicolo JP, Liebeskind DS, Yasuda CL, Cendes F, Quinn TJ, Ge Z, Scalzo F, Zelano J, Kasner SE, International Post-Stroke Epilepsy Research Consortium (IPSERC), International Post Stroke Epilepsy Research Consortium (IPSERC). Clinical characteristics and outcomes of patients with post-stroke epilepsy: protocol for an individual patient data meta-analysis from the International Post-stroke Epilepsy Research Repository (IPSERR).. BMJ open, 2023.
• Mohammadzadeh V, Vepa A, Li C, Wu S, Chew L, Mahmoudinezhad G, Maltz E, Sahin S, Mylavarapu A, Edalati K, Martinyan J, Yalzadeh D, Scalzo F, Caprioli J, Nouri-Mahdavi K. Prediction of Central Visual Field Measures From Macular OCT Volume Scans With Deep Learning.. Translational vision science & technology, 2023.
• Xu D, Ma M, Cao M, Kishan AU, Nickols NG, Scalzo F, Sheng K. Mask R-CNN assisted 2.5D object detection pipeline of 68Ga-PSMA-11 PET/CT-positive metastatic pelvic lymph node after radical prostatectomy from solely CT imaging.. Scientific reports, 2023.
• Mendoza S, Scalzo F, Chien A. Determining and Validating Population Differences in Magnetic Resonance Angiography Using Sparse Representation.. Proceedings. IEEE International Conference on Bioinformatics and Biomedicine, 2023.
• Yu Y, Christensen S, Ouyang J, Scalzo F, Liebeskind DS, Lansberg MG, Albers GW, Zaharchuk G. Predicting Hypoperfusion Lesion and Target Mismatch in Stroke from Diffusion-weighted MRI Using Deep Learning.. Radiology, 2022.
• Pang B, Doshi S, Roy B, Lai M, Ehlert L, Aysola RS, Kang DW, Anderson A, Joshi SH, Tward D, Scalzo F, Vacas S, Kumar R. Machine learning approach for obstructive sleep apnea screening using brain diffusion tensor imaging.. Journal of sleep research, 2022.
• Xu D, Ma TM, Savjani R, Pham J, Cao M, Yang Y, Kishan AU, Scalzo F, Sheng K. Fully automated segmentation of prostatic urethra for MR-guided radiation therapy.. Medical physics, 2022.
• Kilic M, Scalzo F, Lyle C, Baldaranov D, Dirnbacher M, Honda T, Liebeskind DS, Schlachetzki F. A mobile battery-powered brain perfusion ultrasound (BPU) device designed for prehospital stroke diagnosis: correlation to perfusion MRI in healthy volunteers.. Neurological research and practice, 2022.
• Estrada UML, Meeks G, Salazar-Marioni S, Scalzo F, Farooqui M, Vivanco-Suarez J, Gutierrez SO, Sheth SA, Giancardo L. Quantification of infarct core signal using CT imaging in acute ischemic stroke.. NeuroImage. Clinical, 2022.
• Zheng H, Miao Q, Liu Y, Mirak SA, Hosseiny M, Scalzo F, Raman SS, Sung K. Multiparametric MRI-based radiomics model to predict pelvic lymph node invasion for patients with prostate cancer.. European radiology, 2022.
• Federau C, Scalzo F, Lee-Messer CW, Zaharchuk G. Editorial: Machine Learning in Neuroimaging.. Frontiers in neurology, 2021.
• Hashimoto T, Kunieda T, Honda T, Scalzo F, Sharma LK, Hinman JD, Rao NM, Nour M, Bahr-Hosseini M, Saver JL, Raychev R, Liebeskind DS. Heterogeneity between proximal and distal aspects of occlusive thrombi on pretreatment imaging in acute ischemic stroke.. The neuroradiology journal, 2021.
• Zheng H, Miao Q, Liu Y, Raman SS, Scalzo F, Sung K. Integrative Machine Learning Prediction of Prostate Biopsy Results From Negative Multiparametric MRI.. Journal of magnetic resonance imaging : JMRI, 2021.
• Zheng H, Miao Q, Raman SS, Scalzo F, Sung K. INTEGRATIVE RADIOMICS MODELS TO PREDICT BIOPSY RESULTS FOR NEGATIVE PROSTATE MRI.. Proceedings. IEEE International Symposium on Biomedical Imaging, 2021.
• Li L, Wei M, Liu B, Atchaneeyasakul K, Zhou F, Pan Z, Kumar SA, Zhang JY, Pu Y, Liebeskind DS, Scalzo F. Deep Learning for Hemorrhagic Lesion Detection and Segmentation on Brain CT Images.. IEEE journal of biomedical and health informatics, 2021.
• Kim SJ, Morales JM, Yaghi S, Honda T, Scalzo F, Hinman JD, Raychev R, Sharma LK, Feldmann E, Romano JG, Prabhakaran S, Liebeskind DS. Intracranial atherosclerotic disease mechanistic subtypes drive hypoperfusion patterns.. Journal of neuroimaging : official journal of the American Society of Neuroimaging, 2021.
• Zhang H, Polson JS, Nael K, Salamon N, Yoo B, El-Saden S, Scalzo F, Speier W, Arnold CW. Intra-domain task-adaptive transfer learning to determine acute ischemic stroke onset time.. Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society, 2021.
• Cao R, Zhong X, Afshari S, Felker E, Suvannarerg V, Tubtawee T, Vangala S, Scalzo F, Raman S, Sung K. Performance of Deep Learning and Genitourinary Radiologists in Detection of Prostate Cancer Using 3-T Multiparametric Magnetic Resonance Imaging.. Journal of magnetic resonance imaging : JMRI, 2021.
• Abedi V, Khan A, Chaudhary D, Misra D, Avula V, Mathrawala D, Kraus C, Marshall KA, Chaudhary N, Li X, Schirmer CM, Scalzo F, Li J, Zand R. Using artificial intelligence for improving stroke diagnosis in emergency departments: a practical framework.. Therapeutic advances in neurological disorders, 2020.
• Liebeskind DS, Scalzo F. Editorial: Machine Learning and Decision Support in Stroke.. Frontiers in neurology, 2020.
• Thorpe SG, Thibeault CM, Canac N, Jalaleddini K, Dorn A, Wilk SJ, Devlin T, Scalzo F, Hamilton RB. Toward automated classification of pathological transcranial Doppler waveform morphology via spectral clustering.. PloS one, 2020.
• Wang K, Shou Q, Ma SJ, Liebeskind D, Qiao XJ, Saver J, Salamon N, Kim H, Yu Y, Xie Y, Zaharchuk G, Scalzo F, Wang DJJ. Deep Learning Detection of Penumbral Tissue on Arterial Spin Labeling in Stroke.. Stroke, 2019.
• 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.. Frontiers in neurology, 2019.
• 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, 2019.
• Asgari S, Canac N, Hamilton R, Scalzo F. Identification of Pulse Onset on Cerebral Blood Flow Velocity Waveforms: A Comparative Study.. BioMed research international, 2019.
• Jalaleddini K, Canac N, Thorpe SG, O'Brien MJ, Ranjbaran M, Delay B, Dorn AY, Scalzo F, Thibeault CM, Wilk SJ, Hamilton RB. Objective Assessment of Beat Quality in Transcranial Doppler Measurement of Blood Flow Velocity in Cerebral Arteries.. IEEE transactions on bio-medical engineering, 2019.
• Asgari S, Scalzo F, Kasprowicz M. Pattern Recognition in Medical Decision Support.. BioMed research international, 2019.
• 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.. Abdominal radiology (New York), 2019.
• 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.. Abdominal radiology (New York), 2019.
• 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.. Journal of medical imaging (Bellingham, Wash.), 2019.
• Saber H, Somai M, Rajah GB, Scalzo F, Liebeskind DS. Predictive analytics and machine learning in stroke and neurovascular medicine.. Neurological research, 2019.
• 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.. Annals of neurology, 2019.
• 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 transactions on medical imaging, 2019.
• 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 and barriers of the CNS, 2019.
• 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.. The Journal of biological chemistry, 2018.
• 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.
• McKinley R, Hung F, Wiest R, Liebeskind DS, Scalzo F. A Machine Learning Approach to Perfusion Imaging With Dynamic Susceptibility Contrast MR.. Frontiers in neurology, 2018.
• 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.
• 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.. Frontiers in neurology, 2018.
• 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.. Journal of clinical monitoring and computing, 2018.
• 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 neurochirurgica. Supplement, 2018.
• Landers A, Neph R, Scalzo F, Ruan D, Sheng K. Performance Comparison of Knowledge-Based Dose Prediction Techniques Based on Limited Patient Data.. Technology in cancer research & treatment, 2018.
• Yu Y, Guo D, Lou M, Liebeskind D, Scalzo F. Prediction of Hemorrhagic Transformation Severity in Acute Stroke From Source Perfusion MRI.. IEEE transactions on bio-medical engineering, 2017.
• Quachtran B, Hamilton R, Scalzo F. Detection of Intracranial Hypertension using Deep Learning.. Proceedings of the ... IAPR International Conference on Pattern Recognition. International Conference on Pattern Recognition, 2017.
• 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.. Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2017.
• 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.
• Tang A, Scalzo F. Similarity Metric Learning for 2D to 3D Registration of Brain Vasculature.. Advances in visual computing : ... international symposium, ISVC ... : proceedings. International Symposium on Visual Computing, 2016.
• 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.
• Scalzo F, Liebeskind DS. Perfusion Angiography in Acute Ischemic Stroke.. Computational and mathematical methods in medicine, 2016.
• Rajagopal A, Hamilton RB, Scalzo F. Noise reduction in intracranial pressure signal using causal shape manifolds.. Biomedical signal processing and control, 2016.
• 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 review of neurotherapeutics, 2016.
• Stier N, Vincent N, Liebeskind D, Scalzo F. Deep Learning of Tissue Fate Features in Acute Ischemic Stroke.. Proceedings. IEEE International Conference on Bioinformatics and Biomedicine, 2015.
• Vincent N, Stier N, Yu S, Liebeskind DS, Wang DJ, Scalzo F. Detection of Hyperperfusion on Arterial Spin Labeling using Deep Learning.. Proceedings. IEEE International Conference on Bioinformatics and Biomedicine, 2015.
• 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.. Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association, 2015.
• 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.. Journal of neuroimaging : official journal of the American Society of Neuroimaging, 2015.
• 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, UCLA-Jinling Neurovascular Imaging Research Collaborators. DWI Lesion Patterns Predict Outcome in Stroke Patients with Thrombolysis.. Cerebrovascular diseases (Basel, Switzerland), 2015.
• 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, UCLA Stroke Investigators. Postischemic hyperperfusion on arterial spin labeled perfusion MRI is linked to hemorrhagic transformation in stroke.. Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2015.
• Scalzo F, Nour M, Liebeskind DS. Data science of stroke imaging and enlightenment of the penumbra.. Frontiers in neurology, 2015.
• Kim S, Scalzo F, Telesca D, Hu X. Ensemble of sparse classifiers for high-dimensional biological data.. International journal of data mining and bioinformatics, 2015.
• 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.
• 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.. Journal of neuroimaging : official journal of the American Society of Neuroimaging, 2014.
• Sedighian P, Subudhi AW, Scalzo F, Asgari S. Pediatric heart sound segmentation using hidden Markov model.. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2014.
• Nour M, Scalzo F, Liebeskind DS. Ischemia-reperfusion injury in stroke.. Interventional neurology, 2013.
• Scalzo F, Alger JR, Hu X, Saver JL, Dani KA, Muir KW, Demchuk AM, Coutts SB, Luby M, Warach S, Liebeskind DS, STIR/VISTA Imaging Investigators. Multi-center prediction of hemorrhagic transformation in acute ischemic stroke using permeability imaging features.. Magnetic resonance imaging, 2013.
• Scalzo F, Hu X. Semi-supervised detection of intracranial pressure alarms using waveform dynamics.. Physiological measurement, 2013.
• Scalzo F, Liebeskind D, Hu X. Reducing false intracranial pressure alarms using morphological waveform features.. IEEE transactions on bio-medical engineering, 2012.
• Scalzo F, Hao Q, Alger JR, Hu X, Liebeskind DS. Regional prediction of tissue fate in acute ischemic stroke.. Annals of biomedical engineering, 2012.
• Scalzo F, Hamilton R, Asgari S, Kim S, Hu X. Intracranial hypertension prediction using extremely randomized decision trees.. Medical engineering & physics, 2012.
• Scalzo F, Bergsneider M, Vespa PM, Martin NA, Hu X. Intracranial pressure signal morphology: real-time tracking.. IEEE pulse, 2012.
• Scalzo F, Asgari S, Kim S, Bergsneider M, Hu X. Bayesian tracking of intracranial pressure signal morphology.. Artificial intelligence in medicine, 2011.
• Li R, Polat U, Scalzo F, Bavelier D. Reducing backward masking through action game training.. Journal of vision, 2010.
• 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 transactions on bio-medical engineering, 2010.
• Scalzo F, Asgari S, Kim S, Bergsneider M, Hu X. Robust peak recognition in intracranial pressure signals.. Biomedical engineering online, 2010.
• 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.. Physiological measurement, 2010.
• Scalzo F, Xu P, Asgari S, Bergsneider M, Hu X. Regression analysis for peak designation in pulsatile pressure signals.. Medical & biological engineering & computing, 2009.
• Hu X, Xu P, Scalzo F, Vespa P, Bergsneider M. Morphological clustering and analysis of continuous intracranial pressure.. IEEE transactions on bio-medical engineering, 2008.
• Scalzo F, Xu P, Bergsneider M, Hu X. Nonlinear regression for sub-peak detection of intracranial pressure signals.. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2008.
• Xu P, Scalzo F, Bergsneider M, Vespa P, Chad M, Hu X. Wavelet entropy characterization of elevated intracranial pressure.. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2008.