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Recent Faculty Publications
Research
Recent Faculty Publications
Recent Research Funding
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Recent Faculty Publications
Our research has been published in a variety of national and international peer-reviewed journals.
Pressman E, Sommer KN, Waqas M, Siddiqui AH, Ionita CN, Mokin M. (2022)
Comparison of stent retriever thrombectomy using 3-dimensional patient-specific models of intracranial circulation with actual middle cerebral artery occlusion thrombectomy cases.
Journal of neuroimaging : official journal of the American Society of Neuroimaging (May), 32(3): 436-441.
Seymour SE, Rava RA, Chudzik MT, Snyder KV, Waqas ME, Davies JM, Levy EE, Siddiqui AE, Zhang XE, Ionita CE. (2022)
Predicting Hematoma Expansion after Spontaneous Intracranial Hemorrhage Through a Magnetic Resonance-Based Radiomics Model.
Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition (May), 30.
Waqas M, Li W, Patel TR, Chin F, Tutino VM, Dossani RH, Ren Z, Guerrero WR, Borlongan CV, Pressman E, Snyder K, Davies JM, Ley EI, Ionita CN, Siddiqui AH, Mokin M. (2022)
Clot imaging characteristics predict first pass effect of aspiration-first approach to thrombectomy.
Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences (Apr), 28(2): 152-159. doi:10.1177/15910199211019174
Sommer KN, Bhurwani MMS, Iyer V, Ionita CN. (2022)
Comparison of fluid dynamics changes due to physical activity in 3D printed patient specific coronary phantoms with the Windkessel equivalent model of coronary flow.
3D printing in medicine (Apr), 8(1): 10. doi:10.1186/s41205-022-00138-8
Bucsa S, Serban A, Balan MC, Ionita C, Nastase G, Dobre C, Dobrovicescu A. (2022)
Exergetic Analysis of a Cryogenic Air Separation Unit.
Entropy (Basel, Switzerland) (Feb), 24(2). doi:10.3390/e24020272
Bordeau BM, Polli JR, Schweser F, Grimm HP, Richter WF, Balthasar JP. (2022)
Dynamic Contrast-Enhanced Magnetic Resonance Imaging for the Prediction of Monoclonal Antibody Tumor Disposition.
International journal of molecular sciences (Jan), 23(2). doi:10.3390/ijms23020679
Kaliyappan K, Nakuci J, Preda M, Schweser F, Muldoon S, Krishnan Muthaiah VP. (2021)
Correlation of Histomorphometric Changes with Diffusion Tensor Imaging for Evaluation of Blast-Induced Auditory Neurodegeneration in Chinchilla.
Journal of neurotrauma (Dec), 38(23): 3248-3259.
Mousavi J S SM, Faghihi D, Sommer K, Bhurwani MMS, Patel TR, Santo B, Waqas M, Ionita C, Levy EI, Siddiqui AH, Tutino VM. (2021)
Realistic computer modelling of stent retriever thrombectomy: a hybrid finite-element analysis-smoothed particle hydrodynamics model.
Journal of the Royal Society, Interface (Dec), 18(185): 20210583. doi:10.1098/rsif.2021.0583
Pressman E, Waqas M, Sands V, Siddiqui A, Snyder K, Davies J, Levy E, Ionita C, Guerrero W, Ren Z, Mokin M. (2021)
Factors Associated With Decreased Accuracy of Modified Thrombolysis in Cerebral Infarct Scoring Among Neurointerventionalists During Thrombectomy.
Stroke (Nov), 52(11): e733-e738. doi:10.1161/STROKEAHA.120.033372
Rava RA, Seymour SE, Snyder KV, Waqas M, Davies JM, Levy EI, Siddiqui AH, Ionita CN. (2021)
Automated Collateral Flow Assessment in Patients with Acute Ischemic Stroke Using Computed Tomography with Artificial Intelligence Algorithms.
World neurosurgery (Nov), 155: e748-e760.
Rava RA, Peterson BA, Seymour SE, Snyder KV, Mokin M, Waqas M, Hoi Y, Davies JM, Levy EI, Siddiqui AH, Ionita CN. (2021)
Validation of an artificial intelligence-driven large vessel occlusion detection algorithm for acute ischemic stroke patients.
The neuroradiology journal (Oct), 34(5): 408-417. doi:10.1177/1971400921998952
Shiraz Bhurwani MM, Snyder KV, Waqas M, Mokin M, Rava RA, Podgorsak AR, Chin F, Davies JM, Levy EI, Siddiqui AH, Ionita CN. (2021)
Use of quantitative angiographic methods with a data-driven model to evaluate reperfusion status (mTICI) during thrombectomy.
Neuroradiology (Sep), 63(9): 1429-1439. doi:10.1007/s00234-020-02598-3
Sommer KN, Bhurwani MMS, Tutino V, Siddiqui A, Davies J, Snyder K, Levy E, Mokin M, Ionita CN. (2021)
Use of patient specific 3D printed neurovascular phantoms to simulate mechanical thrombectomy.
3D printing in medicine (Sep), 7(1): 32. doi:10.1186/s41205-021-00122-8
Marques JP, Meineke J, Milovic C, Bilgic B, Chan KS, Hedouin R, van der Zwaag W, Langkammer C, Schweser F. (2021)
QSM reconstruction challenge 2.0: A realistic in silico head phantom for MRI data simulation and evaluation of susceptibility mapping procedures.
Magnetic Resonance in Medicine (Jul), 86(1): 526-542. doi:10.1002/mrm.28716
Rava RA, Snyder KV, Mokin M, Waqas M, Podgorsak AR, Allman AB, Senko J, Bhurwani MMS, Hoi Y, Davies JM, Levy EI, Siddiqui AH, Ionita CN. (2021)
Enhancing performance of a computed tomography perfusion software for improved prediction of final infarct volume in acute ischemic stroke patients.
The neuroradiology journal (Jun), 34(3): 222-237. doi:10.1177/1971400920988668
Rava RA, Seymour SE, LaQue ME, Peterson BA, Snyder KV, Mokin M, Waqas M, Hoi Y, Davies JM, Levy EI, Siddiqui AH, Ionita CN. (2021)
Assessment of an Artificial Intelligence Algorithm for Detection of Intracranial Hemorrhage.
World neurosurgery (Jun), 150: e209-e217.
Mokin M, Waqas M, Chin F, Rai H, Senko J, Sparks A, Ducharme RW, Springer M, Borlongan CV, Levy EI, Ionita C, Siddiqui AH. (2021)
Semi-automated measurement of vascular tortuosity and its implications for mechanical thrombectomy performance.
Neuroradiology (Mar), 63(3): 381-389. doi:10.1007/s00234-020-02525-6
Bergsland N, Benedict RHB, Dwyer MG, Fuchs TA, Jakimovski D, Schweser F, Tavazzi E, Weinstock-Guttman B, Zivadinov R. (2021)
Thalamic Nuclei Volumes and Their Relationships to Neuroperformance in Multiple Sclerosis: A Cross-Sectional Structural MRI Study.
J Magn Reson Imaging (Mar), 53(3): 731-739.
Bilgic B, Langkammer C, Marques J, Meineke J, Milovic C, Schweser F. (2021)
QSM reconstruction challenge 2.0: Design and report of results.
Magnetic resonance in medicine (Mar), 3(86): 1241-1255.
Dwyer M, Lyman C, Ferrari H, Bergsland N, Fuchs TA, Jakimovski D, Schweser F, Weinstock-Guttmann B, Benedict RHB, Riolo J, Silva D, Zivadinov R. (2021)
DeepGRAI (Deep Gray Rating via Artificial Intelligence): Fast, feasible, and clinically relevant thalamic atrophy measurement on clinical quality T2-FLAIR MRI in multiple sclerosis.
NeuroImage: Clinical (Mar), 30: 102652. doi:10.1016/j.nicl.2021.102652
