Glenn S. Maitz
University of Pittsburgh
48 Papers
465 Citations
Glenn S. Maitz is an academic researcher from University of Pittsburgh. The author has contributed to research in topics: Image compression & Image quality. The author has an hindex of 16, co-authored 48 publications.
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Papers
Measurement of cerebral blood flow during xenon inhalation as measured by the microspheres method.
David Gur,Howard Yonas,David L. Jackson,Sidney K. Wolfson,Howard E. Rockette,Walter F. Good,Glenn S. Maitz,Eugene E. Cook,Vincent C. Arena +8 more
TL;DR: The results of these studies demonstrated that when inhaled in relatively high concentrations, xenon gas does increase CBF, but the changes are more global than tissue-specific.
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Stable xenon CT blood flow mapping for evaluation of patients with extracranial-intracranial bypass surgery
Howard Yonas,David Gur,Barbara C. Good,Richard E. Latchaw,Sidney K. Wolfson,Walter F. Good,Glenn S. Maitz,Colsher Jg,Barnes Je,Colliander Kg +9 more
TL;DR: Limited but consistent experience suggests that Xe CT blood flow mapping makes possible the recognition of brain regions in which flow reserves are compromised, due to the relatively high degree of spatial resolution that this technique provides and to the fact that mapping can be correlated directly with the anatomy.
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Simultaneous measurements of cerebral blood flow by the xenon/CT method and the microsphere method. A comparison.
David Gur,Howard Yonas,David L. Jackson,Sidney K. Wolfson,Howard E. Rockette,Walter F. Good,Eugene E. Cook,Vincent C. Arena,Joseph A. Willy,Glenn S. Maitz +9 more
TL;DR: Simultaneous measurements of cerebral blood flow have been performed in baboons to assess the correlation between the acute and invasive nondiffusible microsphere technique and the noninvasive xenon-enhanced CT method.
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Applying computer-assisted detection schemes to digitized mammograms after JPEG data compression: an assessment.
TL;DR: The JPEG algorithm did not adversely affect the performance of the CAD scheme for detecting masses, but it did significantly affect the detection of microcalcification clusters.
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Patent
Multi-view computer-assisted diagnosis
Walter F. Good,David Gur,Glenn S. Maitz,Yuan-Hsiang Chang,Bin Zheng,Xiao Hui Wang +5 more
- 23 Dec 1999
TL;DR: In this paper, a single-image CAD of each image is performed to determine suspected abnormal regions depicted in the image; and then, measurements are combined to determine whether a suspected abnormal region is an abnormal region.
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