Our Work

Peer-reviewed publications and preprints from our group.

2024

  1. GG von Oiste, KL Sangwon, C Chung, V Narayan, E Raz, M Shapiro, .... Use of carotid web angioarchitecture for stroke risk assessment. World Neurosurgery 182, e245-e252, 2024
    Google ScholarCited by 6

2023

  1. G von Oiste, V Narayan, MN Moin, E Raz, M Shapiro, C Rutledge, .... 113 The Use of Machine Learning of Carotid Web Angioarchitecture for Predicting Stroke Risk. Neurosurgery 69 (Supplement_1), 26-27, 2023
    Google Scholar

2021

  1. SN Neifert, EK Chapman, ML Martini, WH Shuman, AJ Schupper, .... Aneurysmal subarachnoid hemorrhage: the last decade. Translational stroke research 12 (3), 428-446, 2021
    Google ScholarCited by 387
  2. SN Neifert, EK Chapman, ML Martini, WH Shuman, AJ Schupper, .... Aneurysmal subarachnoid hemorrhage: the last decade. Transl Stroke Res 12: 428–446. 2021
    Google ScholarCited by 11
  3. SN Neifert, EK Chapman, ML Martini, WH Shuman, AJ Schupper, .... Aneurysmal subarachnoid hemorrhage: the last decade. Transl Stroke Res 12 (3): 428–446. 2021
    Google ScholarCited by 7
  4. SN Neifert, EK Chapman, ML Martini, WH Shuman, AJ Schupper, .... Aneurysmal Subarachnoid Hemorrhage: the Last Decade. Translational stroke research, 12 (3), 428–446. 2021
    Google ScholarCited by 3
  5. EK Oermann, HA Riina. The future of stroke care is remote and now. Journal of Neurosurgery 136 (4), 990-991, 2021
    Google ScholarCited by 2
  6. ML Martini, S Neifert, W Shuman, E Chapman, A Schupper, E Oermann, .... Drivers of Rescue Therapy Efficacy for Vasospasm Following Aneurysmal Subarachnoid Hemorrhage: A Propensity-Score Matched Analysis With Machine Learning.. STROKE 52, 2021
    Google Scholar
  7. S Neifert, A Schupper, W Shuman, M Martini, E Chapman, E Oermann, .... Abstract P39: Outcomes Across the Course of Recovery From Subarachnoid Hemorrhage. Stroke 52 (Suppl_1), AP39-AP39, 2021
    Google Scholar
  8. S Neifert, E Oermann, JD Mocco, MM Todd, J Torner, A Molyneux, .... Abstract P40: Declining Morbidity From Subarachnoid Hemorrhage in the Last 4 Decades: A Pooled Analysis of 13,343 Patients. Stroke 52 (Suppl_1), AP40-AP40, 2021
    Google Scholar
  9. S Neifert, A Schupper, M Martini, E Chapman, W Shuman, E Oermann, .... Abstract P43: The Importance of Medical Complications in Determining Outcomes After Subarachnoid Hemorrhage. Stroke 52 (Suppl_1), AP43-AP43, 2021
    Google Scholar
  10. ML Martini, S Neifert, W Shuman, E Chapman, A Schupper, E Oermann, .... Abstract MP12: Drivers of Rescue Therapy Efficacy for Vasospasm Following Aneurysmal Subarachnoid Hemorrhage: A Propensity-Score Matched Analysis With Machine Learning. Stroke 52 (Suppl_1), AMP12-AMP12, 2021
    Google Scholar

2018

  1. R Feng, M Badgeley, J Mocco, EK Oermann. Deep learning guided stroke management: a review of clinical applications. Journal of neurointerventional surgery 10 (4), 358-362, 2018
    Google ScholarCited by 141
  2. R Feng, M Badgeley, J Mocco, EK Oermann. Deep learning guided stroke management: a review of clinical applications. J Neurointerv Surg 10 (4): 358–362. 2018
    Google ScholarCited by 3
  3. R Feng, M Badgeley, J Mocco, EK Oermann. Deep learning guided stroke management: a review of clinical applications. J Neurointerv Surg 2018; 10: 358–62. 2018
    Google ScholarCited by 2

2017

  1. JR Mascitelli, CP Kellner, CS Oravec, RA De Leacy, EK Oermann, .... Factors associated with successful revascularization using the aspiration component of ADAPT in the treatment of acute ischemic stroke. Journal of neurointerventional surgery 9 (7), 636-640, 2017
    Google ScholarCited by 36

2016

  1. JR Mascitelli, N Wilson, H Shoirah, RA De Leacy, SV Furtado, .... The impact of evidence: evolving therapy for acute ischemic stroke in a large healthcare system. Journal of neurointerventional surgery 8 (11), 1129-1135, 2016
    Google ScholarCited by 8
  2. J Mascitelli, C Kellner, C Oravec, R DeLeacy, E Oermann, .... E-004 Factors associated with successful revascularization using the aspiration component of ADAPT in the treatment of acute ischemic stroke. Journal of NeuroInterventional Surgery 8 (Suppl 1), A46-A46, 2016
    Google ScholarCited by 1

2015

  1. PC Gerszten, E Paschel, R Grandhi, D Okonkwo, A Kanter, YF Chang, .... 860. Outcome of Mechanical Thrombectomy in the Elderly for the Treatment of Acute Ischemic Stroke. Journal of Neurosurgery 123 (2), A479-A541, 2015
    Google Scholar

Unknown

  1. SN Neifert, EK Chapman, ML Martini, WH Shuman, AJ Schupper, .... Aneurysmal subarachnoid hemorrhage: the last decade. Transl Stroke Res. 2021; 12 (3): 428–46.
    Google ScholarCited by 14
  2. SN Neifert, EK Chapman, ML Martini, WH Shuman, AJ Schupper, .... Aneurysmal subarachnoid hemorrhage: the last decade. Transl Stroke Res. 2021; 12: 428–46.
    Google ScholarCited by 4
  3. R Feng, M Badgeley, J Mocco, EK Oermann. Deep learning guided stroke management: a review of clinical applications. J NeuroIntervent Surg. 2018; 10: 358–362.
    Google ScholarCited by 3
  4. R Feng, M Badgeley, J Mocco, EK Oermann. Deep learning guided stroke management: a review of clinical applications. J. NeuroInterventional Surgery 10 (4), 358–362 (2018).
    Google ScholarCited by 2
  5. SN Neifert, EK Chapman, ML Martini, WH Shuman, AJ Schupper, .... Aneurysmal subarachnoid hemorrhage: the last decade, Transl Stroke Res 12 (3)(2021) 428–446.
    Google ScholarCited by 2