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Fabien Scalzo - Publications

Affiliations: 
Computer Science University of California, Los Angeles, Los Angeles, CA 
Area:
Medical Images, Machine Learning, Biomedical Informatics
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66 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2022 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. 220882. PMID 36472536 DOI: 10.1148/radiol.220882  0.344
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. 4: 13. PMID 35399083 DOI: 10.1186/s42466-022-00179-8  0.325
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. 34: 102998. PMID 35378498 DOI: 10.1016/j.nicl.2022.102998  0.309
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. 19714009211049713. PMID 34609921 DOI: 10.1177/19714009211049713  0.346
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. 90: 101926. PMID 33934065 DOI: 10.1016/j.compmedimag.2021.101926  0.325
2020 Li L, Wei M, Liu B, Atchaneeyasakul K, Zhou F, Pan Z, Kumar S, Zhang J, 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. PMID 33001810 DOI: 10.1109/JBHI.2020.3028243  0.328
2020 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. 13: 1756286420938962. PMID 32922515 DOI: 10.1177/1756286420938962  0.404
2020 Yoshie T, Yu Y, Jiang H, Honda T, Trieu H, Scalzo F, Saver JL, Liebeskind DS. Perfusion Parameter Thresholds That Discriminate Ischemic Core Vary with Time from Onset in Acute Ischemic Stroke. Ajnr. American Journal of Neuroradiology. PMID 32855193 DOI: 10.3174/Ajnr.A6744  0.436
2020 Liebeskind DS, Scalzo F. Editorial: Machine Learning and Decision Support in Stroke Frontiers in Neurology. 11: 486. PMID 32547484 DOI: 10.3389/Fneur.2020.00486  0.356
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. 15: e0228642. PMID 32027714 DOI: 10.1371/Journal.Pone.0228642  0.336
2019 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. STROKEAHA119027457. PMID 31884904 DOI: 10.1161/Strokeaha.119.027457  0.446
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. 10: 1072. PMID 31681147 DOI: 10.3389/Fneur.2019.01072  0.319
2019 Yu YN, Liu MW, Villablanca JP, Li ML, Xu YY, Gao S, Feng F, Liebeskind DS, Scalzo F, Xu WH. Middle Cerebral Artery Plaque Hyperintensity on T2-Weighted Vessel Wall Imaging Is Associated with Ischemic Stroke. Ajnr. American Journal of Neuroradiology. PMID 31624115 DOI: 10.3174/Ajnr.A6260  0.419
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: 3252178. PMID 31355255 DOI: 10.1155/2019/3252178  0.35
2019 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 Transactions On Bio-Medical Engineering. PMID 31217091 DOI: 10.1109/Tbme.2019.2923146  0.313
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.). 6: 026001. PMID 31131293 DOI: 10.1117/1.Jmi.6.2.026001  0.444
2019 Saber H, Somai M, Rajah GB, Scalzo F, Liebeskind DS. Predictive analytics and machine learning in stroke and neurovascular medicine Neurological Research. 41: 681-690. PMID 31038007 DOI: 10.1080/01616412.2019.1609159  0.324
2019 Leng X, Lan L, Ip HL, Abrigo J, Scalzo F, Liu H, Feng X, Chan KL, Fan FS, Ma SH, Fang H, Xu Y, Li J, Zhang B, Xu Y, et al. Hemodynamics and Stroke Risk in Intracranial Atherosclerotic Disease. Annals of Neurology. PMID 30840312 DOI: 10.1002/Ana.25456  0.401
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. PMID 30802855 DOI: 10.1109/Tmi.2019.2901445  0.425
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. 16: 2. PMID 30665428 DOI: 10.1186/S12987-019-0122-0  0.364
2019 Yu Y, Ravkic I, Xu W, Li M, Liebeskind D, Scalzo F. Abstract WP162: Automatic Detection of Middle Cerebral Artery Plaque on T2-weighted Vessel Wall Imaging Stroke. 50. DOI: 10.1161/Str.50.Suppl_1.Wp162  0.32
2019 Yoshie T, Jiang H, Yu Y, Honda T, Trieu H, Scalzo F, Jahan R, Starkman S, Sharma L, Yoo B, Rao N, Hinman J, Duckwiler G, Nour M, Szeder V, et al. Abstract TP73: Perfusion Values in Ischemic Core Depend on Time from Onset in Acute Stroke Stroke. 50. DOI: 10.1161/Str.50.Suppl_1.Tp73  0.405
2019 Krakauskaite S, Petkus V, Preiksaitis A, Dziugys A, Woolf G, Dailamy A, Li D, Zubak J, Ragauskas A, Liebeskind D, Scalzo F. Computational fluid dynamics methods applied to intracranial stenosis imaging Ultrasound in Medicine and Biology. 45. DOI: 10.1016/J.Ultrasmedbio.2019.07.340  0.398
2018 Liebeskind DS, Ayata C, Brown S, Raychev R, Scalzo F, Broderick JP, Tomsick TA, Cipolla MJ. Abstract 79: Chronic and Acute Hypertension in Ischemic Stroke Are Distinct Markers of Impaired Collateral Circulation. Stroke. 49: A79. PMID 30520353 DOI: 10.1161/Str.49.Suppl_1.79  0.401
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, et al. Association of anemia and hemoglobin decrease during acute stroke treatment with infarct growth and clinical outcome. Plos One. 13: e0203535. PMID 30256814 DOI: 10.1371/Journal.Pone.0203535  0.394
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. 9: 717. PMID 30233482 DOI: 10.3389/Fneur.2018.00717  0.38
2018 Maier IL, Scalzo F, Leyhe JR, Schregel K, Behme D, Tsogkas I, Psychogios M, Liebeskind DS. Validation of collateral scoring on flat-detector multiphase CT angiography in patients with acute ischemic stroke. Plos One. 13. PMID 30142167 DOI: 10.1371/Journal.Pone.0202592  0.44
2018 Ma SJ, Yu S, Liebeskind DS, Yan L, Wang DJ, Scalzo F. Abstract WP60: Kernel Spectral Regression and Neural Networks Enable Regional Detection of Hemorrhagic Transformation on Multi-Modal MRI for Acute Ischemic Stroke Stroke. 49. DOI: 10.1161/Str.49.Suppl_1.Wp60  0.457
2018 Liebeskind DS, Leyhe J, Scalzo F, Tsogkas I, Behme D, Psychogios M. Abstract WP51: Currency of Collaterals: Validation and Clinical Utility of a Novel Imaging Paradigm for Triage to Endovascular Therapy Stroke. 49. DOI: 10.1161/Str.49.Suppl_1.Wp51  0.446
2018 Yu Y, Liu M, Li M, Xu Y, Gao S, Feng F, Liebeskind DS, Scalzo F, Xu W. Abstract WMP43: Bright Signals of MCA Plaque on T2 Weighted Vessel Wall Imaging are Associated With Ischemic Stroke Stroke. 49. DOI: 10.1161/Str.49.Suppl_1.Wmp43  0.418
2018 Yu S, Ma SJ, Liebeskind DS, Yan L, Scalzo F, Wang DJ. Abstract WMP24: Reperfusion Into Severely Damaged Brain Tissue is Associated With Impending Parenchymal Hemorrhage in Acute Ischemic Stroke Patients Stroke. 49. DOI: 10.1161/Str.49.Suppl_1.Wmp24  0.406
2018 Yu Y, Guo D, Zhang M, Lou M, Liebeskind DS, Scalzo F. Abstract WMP13: The Prediction of the Hemorrhagic Transformation Locations After Reperfusion Therapy in Acute Stroke Patients: A Magnetic Resonance Perfusion Study Using Deep Learning Stroke. 49. DOI: 10.1161/Str.49.Suppl_1.Wmp13  0.394
2018 Liebeskind DS, Zhang Y, Scalzo F, Veznedaroglu E, English J, Baxter BW, Budzik RF, Bartolini BM, Krajina A, Malek A, Sarraj A, Gupta R, Nogueira RG. Abstract 63: Collaterals in Thrombectomy for MCA Occlusion: Mapping the Collaterome in the Trevo Retriever Registry Stroke. 49. DOI: 10.1161/Str.49.Suppl_1.63  0.411
2018 Liebeskind DS, Zhang Y, Trieu H, Revanur A, Scalzo F, Veznedaroglu E, English J, Baxter BW, Budzik RF, Bartolini BM, Krajina A, Malek A, Sarraj A, Gupta R, Jadhav AJ, et al. Abstract 114: Aspects versus Perfusion in the Trevo Retriever Registry: Defining the Core on the Largest Scale to Date Stroke. 49. DOI: 10.1161/Str.49.Suppl_1.114  0.307
2017 Yu Y, Guo D, Lou M, Liebeskind DS, Scalzo F. Prediction of Hemorrhagic Transformation Severity in Acute Stroke from Source Perfusion MRI. Ieee Transactions On Bio-Medical Engineering. PMID 29989941 DOI: 10.1109/Tbme.2017.2783241  0.351
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, et al. 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. 271678X17697339. PMID 28266894 DOI: 10.1177/0271678X17697339  0.411
2016 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, et al. Multi-delay ASL can identify leptomeningeal collateral perfusion in endovascular therapy of ischemic stroke. Oncotarget. PMID 27974692 DOI: 10.18632/Oncotarget.13898  0.453
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; a Journal of Cerebral Circulation. PMID 27659851 DOI: 10.1161/Strokeaha.116.013953  0.41
2016 Scalzo F, Liebeskind DS. Perfusion Angiography in Acute Ischemic Stroke. Computational and Mathematical Methods in Medicine. 2016: 2478324-2478324. PMID 27446232 DOI: 10.1155/2016/2478324  0.432
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. PMID 26967556 DOI: 10.1586/14737175.2016.1165094  0.316
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: 1322-1327. PMID 28936367 DOI: 10.1109/BIBM.2015.7359870  0.329
2015 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: 1316-1321. PMID 28919983 DOI: 10.1109/BIBM.2015.7359869  0.324
2015 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: 1316-1321. PMID 28919983 DOI: 10.1109/BIBM.2015.7359869  0.324
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. PMID 26654665 DOI: 10.1016/J.Jstrokecerebrovasdis.2015.10.021  0.444
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. PMID 26598796 DOI: 10.1111/Jon.12314  0.325
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, et al. DWI Lesion Patterns Predict Outcome in Stroke Patients with Thrombolysis. Cerebrovascular Diseases (Basel, Switzerland). 40: 279-285. PMID 26513397 DOI: 10.1159/000441153  0.429
2015 Scalzo F, Nour M, Liebeskind DS. Data science of stroke imaging and enlightenment of the penumbra. Frontiers in Neurology. 6: 8. PMID 25798125 DOI: 10.3389/Fneur.2015.00008  0.432
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, et al. 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. 35: 630-7. PMID 25564233 DOI: 10.1038/Jcbfm.2014.238  0.408
2015 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. 25: 87-91. PMID 24593693 DOI: 10.1111/Jon.12101  0.437
2015 Leng X, Scalzo F, Fong AK, Johnson M, Ip HL, Soo Y, Leung T, Liu L, Feldmann E, Wong KS, Liebeskind DS. Computational fluid dynamics of computed tomography angiography to detect the hemodynamic impact of intracranial atherosclerotic stenosis Neurovascular Imaging. 1: 1-7. DOI: 10.1186/S40809-014-0001-7  0.331
2015 Vincent N, Stier N, Yu S, Liebeskind DS, Wang DJ, Scalzo F. Detection of hyperperfusion on arterial spin labeling using deep learning Proceedings - 2015 Ieee International Conference On Bioinformatics and Biomedicine, Bibm 2015. 1322-1327. DOI: 10.1109/BIBM.2015.7359870  0.329
2014 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. 9: e97531. PMID 24818753 DOI: 10.1371/Journal.Pone.0097531  0.403
2014 Nicoli F, Scalzo F, Saver JL, Pautot F, Mitulescu A, Chaibi Y, Girard N, Salamon N, Liebeskind DS. The combination of baseline magnetic resonance perfusion-weighted imaging-derived tissue volume with severely prolonged arterial-tissue delay and diffusion-weighted imaging lesion volume is predictive of MCA-M1 recanalization in patients treated with endovascular thrombectomy Neuroradiology. 56: 117-127. PMID 24337610 DOI: 10.1007/S00234-013-1310-2  0.367
2013 Nour M, Scalzo F, Liebeskind DS. Ischemia-reperfusion injury in stroke. Interventional Neurology. 1: 185-99. PMID 25187778 DOI: 10.1159/000353125  0.408
2013 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. Magnetic Resonance Imaging. 31: 961-9. PMID 23587928 DOI: 10.1016/J.Mri.2013.03.013  0.458
2013 Scalzo F, Hu X. Semi-supervised detection of intracranial pressure alarms using waveform dynamics. Physiological Measurement. 34: 465-78. PMID 23524637 DOI: 10.1088/0967-3334/34/4/465  0.325
2013 Scalzo F, Liebeskind D, Hu X. Reducing false intracranial pressure alarms using morphological waveform features. Ieee Transactions On Bio-Medical Engineering. 60: 235-9. PMID 22851230 DOI: 10.1109/Tbme.2012.2210042  0.317
2012 Scalzo F, Hao Q, Alger JR, Hu X, Liebeskind DS. Regional prediction of tissue fate in acute ischemic stroke. Annals of Biomedical Engineering. 40: 2177-87. PMID 22592291 DOI: 10.1007/S10439-012-0591-7  0.417
2012 Scalzo F, Bergsneider M, Vespa PM, Martin NA, Hu X. Intracranial pressure signal morphology: real-time tracking. Ieee Pulse. 3: 49-52. PMID 22481746 DOI: 10.1109/Mpul.2011.2181024  0.319
2012 Scalzo F, Hamilton R, Asgari S, Kim S, Hu X. Intracranial hypertension prediction using extremely randomized decision trees. Medical Engineering & Physics. 34: 1058-65. PMID 22401795 DOI: 10.1016/J.Medengphy.2011.11.010  0.318
2012 Scalzo F, Asgari S, Kim S, Bergsneider M, Hu X. Bayesian tracking of intracranial pressure signal morphology. Artificial Intelligence in Medicine. 54: 115-23. PMID 21968205 DOI: 10.1016/J.Artmed.2011.08.007  0.304
2011 Kim S, Scalzo F, Bergsneider M, Vespa P, Hu X. Noninvasive intracranial hypertension detection based on cerebral blood flow velocity waveform alone Journal of Critical Care. 26: e13. DOI: 10.1016/J.Jcrc.2010.12.043  0.305
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. 31: 679-95. PMID 20348611 DOI: 10.1088/0967-3334/31/5/006  0.358
2010 Scalzo F, Hao Q, Alger JR, Hu X, Liebeskind DS. Tissue fate prediction in acute ischemic stroke using cuboid models Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6454: 292-301. DOI: 10.1007/978-3-642-17274-8_29  0.303
2009 Scalzo F, Xu P, Asgari S, Bergsneider M, Hu X. Regression analysis for peak designation in pulsatile pressure signals. Medical & Biological Engineering & Computing. 47: 967-77. PMID 19578916 DOI: 10.1007/S11517-009-0505-5  0.313
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. 56: 696-705. PMID 19272879 DOI: 10.1109/Tbme.2008.2008636  0.305
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