Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Michael H Lev, M.D.

Co-Author

This page shows the publications co-authored by Michael Lev and Shahmir Kamalian.
Connection Strength

3.566
  1. Stroke Imaging. Radiol Clin North Am. 2019 Jul; 57(4):717-732.
    View in: PubMed
    Score: 0.831
  2. The Adult Patient with Acute Neurologic Deficit: An Update on Imaging Trends. Neuroimaging Clin N Am. 2018 Aug; 28(3):319-334.
    View in: PubMed
    Score: 0.785
  3. CT cerebral blood flow maps optimally correlate with admission diffusion-weighted imaging in acute stroke but thresholds vary by postprocessing platform. Stroke. 2011 Jul; 42(7):1923-8.
    View in: PubMed
    Score: 0.480
  4. Nontraumatic Head and Neck Emergencies. Radiographics. 2019 Oct; 39(6):1808-1823.
    View in: PubMed
    Score: 0.215
  5. Dual-Energy Computed Tomography Angiography of the Head and Neck and Related Applications. Neuroimaging Clin N Am. 2017 Aug; 27(3):429-443.
    View in: PubMed
    Score: 0.183
  6. Limited reliability of computed tomographic perfusion acute infarct volume measurements compared with diffusion-weighted imaging in anterior circulation stroke. Stroke. 2015 Feb; 46(2):419-24.
    View in: PubMed
    Score: 0.155
  7. Admission insular infarction >25% is the strongest predictor of large mismatch loss in proximal middle cerebral artery stroke. Stroke. 2013 Nov; 44(11):3084-9.
    View in: PubMed
    Score: 0.141
  8. Location-weighted CTP analysis predicts early motor improvement in stroke: a preliminary study. Neurology. 2012 Jun 05; 78(23):1853-9.
    View in: PubMed
    Score: 0.129
  9. CT perfusion mean transit time maps optimally distinguish benign oligemia from true "at-risk" ischemic penumbra, but thresholds vary by postprocessing technique. AJNR Am J Neuroradiol. 2012 Mar; 33(3):545-9.
    View in: PubMed
    Score: 0.125
  10. Predicting language improvement in acute stroke patients presenting with aphasia: a multivariate logistic model using location-weighted atlas-based analysis of admission CT perfusion scans. AJNR Am J Neuroradiol. 2010 Oct; 31(9):1661-8.
    View in: PubMed
    Score: 0.112
  11. Avoiding "pseudo-reversibility" of CT-CBV infarct core lesions in acute stroke patients after thrombolytic therapy: the need for algorithmically "delay-corrected" CT perfusion map postprocessing software. Stroke. 2009 Aug; 40(8):2875-8.
    View in: PubMed
    Score: 0.105
  12. Quantitative assessment of core/penumbra mismatch in acute stroke: CT and MR perfusion imaging are strongly correlated when sufficient brain volume is imaged. Stroke. 2008 Nov; 39(11):2986-92.
    View in: PubMed
    Score: 0.099
  13. Lesion Age Imaging in Acute Stroke: Water Uptake in CT Versus DWI-FLAIR Mismatch. Ann Neurol. 2020 12; 88(6):1144-1152.
    View in: PubMed
    Score: 0.058
  14. An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasets. Nat Biomed Eng. 2019 03; 3(3):173-182.
    View in: PubMed
    Score: 0.051
  15. Percentage insula ribbon infarction of >50% identifies patients likely to have poor clinical outcome despite small DWI infarct volume. AJNR Am J Neuroradiol. 2015 Jan; 36(1):40-5.
    View in: PubMed
    Score: 0.038
  16. Cranial CT with adaptive statistical iterative reconstruction: improved image quality with concomitant radiation dose reduction. AJNR Am J Neuroradiol. 2012 Apr; 33(4):609-15.
    View in: PubMed
    Score: 0.031
  17. Arterial input function placement for accurate CT perfusion map construction in acute stroke. AJR Am J Roentgenol. 2010 May; 194(5):1330-6.
    View in: PubMed
    Score: 0.028
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.