Institution
Jewish Hospital
Healthcare•Cincinnati, Ohio, United States•
About: Jewish Hospital is a healthcare organization based out in Cincinnati, Ohio, United States. It is known for research contribution in the topics: Antigen & Population. The organization has 3881 authors who have published 3414 publications receiving 123044 citations.
Topics: Antigen, Population, Pregnancy, Thrombophilia, Transplantation
Papers published on a yearly basis
Papers
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TL;DR: Oligomenorrhea, PCOS, hyperandrogenism, low levels of sex hormone-binding globulin, childhood insulin, and metabolic syndrome at age 14 years may represent a critical, reversible pathway for the development of MetS and class III obesity in young adulthood.
58 citations
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TL;DR: It is concluded that the effect of dibutyryl cyclic AMP on the activity of this enzyme most likely results solely from an increase in the rate of synthesis of the basal enzyme species.
58 citations
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TL;DR: Blood glucose monitoring improved for all three children, which was maintained at a 4-month follow-up, and long-term metabolic control in the children measurably improved following the implementation of the program.
58 citations
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58 citations
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06 Sep 2008TL;DR: LDCT images and desired maps of regions (lung and the other chest tissues) are described by a joint Markov-Gibbs random field model (MGRF) of independent image signals and interdependent region labels but focus on most accurate model identification.
Abstract: New techniques for more accurate unsupervised segmentation of lung tissues from Low Dose Computed Tomography (LDCT) are proposed. In this paper we describe LDCT images and desired maps of regions (lung and the other chest tissues) by a joint Markov-Gibbs random field model (MGRF) of independent image signals and interdependent region labels but focus on most accurate model identification. To better specify region borders, each empirical distribution of signals is precisely approximated by a Linear Combination of Discrete Gaussians (LCDG) with positive and negative components. We modify a conventional Expectation-Maximization (EM) algorithm to deal with the LCDG and develop a sequential EM-based technique to get an initial LCDG-approximation for the modified EM algorithm. The initial segmentation based on the LCDG-models is then iteratively refined using a MGRF model with analytically estimated potentials. Experiments on real data sets confirm high accuracy of the proposed approach.
58 citations
Authors
Showing all 3894 results
Name | H-index | Papers | Citations |
---|---|---|---|
John C. Morris | 183 | 1441 | 168413 |
David L. Kaplan | 177 | 1944 | 146082 |
Robert H. Purcell | 139 | 666 | 70366 |
Nancy J. Cox | 135 | 778 | 109195 |
Jennifer S. Haas | 128 | 840 | 71315 |
David A. Cheresh | 125 | 337 | 62252 |
John W. Kappler | 122 | 464 | 57541 |
Philippa Marrack | 120 | 416 | 54345 |
Arthur Weiss | 117 | 380 | 45703 |
Thomas J. Kipps | 114 | 748 | 63240 |
Michael Pollak | 114 | 663 | 57793 |
Peter M. Henson | 112 | 369 | 54246 |
Roberto Bolli | 111 | 528 | 44010 |
William D. Foulkes | 108 | 682 | 45013 |
David A. Lynch | 108 | 714 | 59678 |