Harvard Catalyst Profiles

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Ferdinando Stelio Buonanno, M.D.

Co-Author

This page shows the publications co-authored by Ferdinando Buonanno and Michael Lev.
Connection Strength

0.310
  1. Hypoattenuation on CT angiographic source images predicts risk of intracerebral hemorrhage and outcome after intra-arterial reperfusion therapy. AJNR Am J Neuroradiol. 2005 Aug; 26(7):1798-803.
    View in: PubMed
    Score: 0.081
  2. Noncontrast conventional computed tomography in the evaluation of acute stroke. Semin Roentgenol. 2002 Jul; 37(3):185-91.
    View in: PubMed
    Score: 0.065
  3. Utility of perfusion-weighted CT imaging in acute middle cerebral artery stroke treated with intra-arterial thrombolysis: prediction of final infarct volume and clinical outcome. Stroke. 2001 Sep; 32(9):2021-8.
    View in: PubMed
    Score: 0.061
  4. CT angiography in the rapid triage of patients with hyperacute stroke to intraarterial thrombolysis: accuracy in the detection of large vessel thrombus. J Comput Assist Tomogr. 2001 Jul-Aug; 25(4):520-8.
    View in: PubMed
    Score: 0.061
  5. Arterial occlusion revealed by CT angiography predicts NIH stroke score and acute outcomes after IV tPA treatment. AJNR Am J Neuroradiol. 2005 Feb; 26(2):246-51.
    View in: PubMed
    Score: 0.019
  6. Assessment of cerebral perfusion and arterial anatomy in hyperacute stroke with three-dimensional functional CT: early clinical results. AJNR Am J Neuroradiol. 1998 Jan; 19(1):29-37.
    View in: PubMed
    Score: 0.012
  7. Hyperacute stroke: evaluation with combined multisection diffusion-weighted and hemodynamically weighted echo-planar MR imaging. Radiology. 1996 May; 199(2):391-401.
    View in: PubMed
    Score: 0.011
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.