Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Ricardo Mesa-Tejada"'
Autor:
John Pile-Spellman, Michael T. Lawton, Tomoki Hashimoto, Shailendra Joshi, Ricardo Mesa-Tejada, Christopher M. Quick, William L. Young, Andrew W. Bollen
Publikováno v:
Neurosurgery. 49:124-132
OBJECTIVEWe hypothesized that human brain arteriovenous malformations (BAVMs) are nonstatic vascular lesions with active angiogenesis or vascular remodeling. To test this hypothesis, we assessed endothelial cell turnover in BAVMs.METHODSWe identified
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d63db21fa1813e175e199384a1dd3f1
https://doi.org/10.1227/00006123-200107000-00019
https://doi.org/10.1227/00006123-200107000-00019
Autor:
Rui Soares, Ricardo Mesa-Tejada, Gerardo Fernandez, Douglas Powell, Michael J. Donovan, Valentina Bayer-Zubek, Allison Mott, Faisal Khan
Publikováno v:
SPIE Proceedings.
The Prostate Px prognostic assay offered by Aureon Biosciences is designed to predict progression post primary treatment for prostate cancer patients based on their diagnostic biopsy specimen. The assay is driven by the automated image analysis of bi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0053843966ceafaa1ac8a98e8316af4c
https://doi.org/10.1117/12.878241
https://doi.org/10.1117/12.878241
Autor:
Stephen Fogarasi, Gerardo Fernandez, Michael J. Donovan, Ho-Yuen H. Pang, Ricardo Mesa-Tejada, Faisal Khan
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
Morphological and architectural characteristics of primary prostate tissue compartments, such as epithelial nuclei (EN) and cytoplasm, provide critical information for cancer diagnosis, prognosis and therapeutic response prediction. The subjective an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e3d83d6743365e8143b40f15eea6a30
https://doi.org/10.1117/12.878142
https://doi.org/10.1117/12.878142
Autor:
Gerardo Fernandez, Stephen Fogarasi, Michael J. Donovan, Faisal Khan, Ricardo Mesa-Tejada, Douglas Powell
Publikováno v:
SPIE Proceedings.
The Prostate Px prognostic assay offered by Aureon Biosciences is designed to predict progression post primary treatment for prostate cancer patients based on their diagnostic biopsy specimen. The assay is driven by the automated image analysis of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed0e0f46275a3c8a78db54938062db40
https://doi.org/10.1117/12.878233
https://doi.org/10.1117/12.878233
Autor:
Yevgen Vengrenyuk, Stefan Hamman, Faisal Khan, Gerardo Fernandez, Ricardo Mesa-Tejada, Marina Sapir, Michael J. Donovan, Mikhail Teverovskiy
Publikováno v:
ISBI
We present a novel improvement of our previously published image analysis system for the automated localization and quantification of protein biomarker expression in immunofluorescence (IF) microscopic images. The improvement has been developed prima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::883bc85f1de7405eae1a6506742e4fb5
https://doi.org/10.1109/isbi.2010.5490391
https://doi.org/10.1109/isbi.2010.5490391
Publikováno v:
Differentiation. 50:125-131
Z-DNA has been considered a labile but essential structural form of DNA in recombination and gene expression, two significant activities in mammalian seminiferous epithelium. The present study has utilized the recrudescing testes of Mesocricetus bran
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b530ee84fbf394e27b49ecea826a4eb
https://doi.org/10.1111/j.1432-0436.1992.tb00493.x
https://doi.org/10.1111/j.1432-0436.1992.tb00493.x
Publikováno v:
The FASEB Journal. 23
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43f88f24b467b4ddd347194219f021ab
https://doi.org/10.1096/fasebj.23.1_supplement.879.7
https://doi.org/10.1096/fasebj.23.1_supplement.879.7
Autor:
Michael J. Donovan, Mikhail Teverovskiy, Faisal Khan, Yevgen Vengrenyuk, Gerardo Fernandez, Ali Tabesh, Marina Sapir, Ricardo Mesa-Tejada, Douglas Powell
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
Morphological and architectural characteristics of primary tissue compartments, such as epithelial nuclei (EN) and cytoplasm, provide important cues for cancer diagnosis, prognosis, and therapeutic response prediction. We propose two feature sets for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3641630ff6593859b6a12b5d04924d9
https://doi.org/10.1117/12.812968
https://doi.org/10.1117/12.812968
Autor:
Valentina Bayer Zubek, Peter Hlavcak, Yevgen Vengrenyuk, Ricardo Mesa-Tejada, Robin T. Vollmer, Christer Busch, Peter C. Albertsen, Michael Häggman, Mikhail Teverovskiy, Stephen J. Freedland, R. Jeffrey Karnes, Michael J. Donovan, Mark R. Segal, Gerardo Fernandez, Jose Costa, Douglas Powell, Marina Sapir, Carlos Cordon-Cardo, Stephen Fogarasi, Thomas A. Gaffey, Faisal Khan
Publikováno v:
The Journal of urology. 182(1)
To our knowledge in patients with prostate cancer there are no available tests except clinical variables to determine the likelihood of disease progression. We developed a patient specific, biology driven tool to predict outcome at diagnosis. We also
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9bb021ea7f10734f9d31b5e67da8728
https://pubmed.ncbi.nlm.nih.gov/19450827
https://pubmed.ncbi.nlm.nih.gov/19450827
Autor:
Valentina Bayer-Zubek, Faisal Khan, Marina Sapir, Gerardo Fernandez, Mark Clayton, Carlos Cordon-Cardo, Mikhail Teverovskiy, Ricardo Mesa-Tejada, Peter T. Scardino, Michael J. Donovan, Victor E. Reuter, Stefan Hamann
Publikováno v:
Journal of clinical oncology : official journal of the American Society of Clinical Oncology. 26(24)
Purpose For patients with prostate cancer treated by radical prostatectomy, no current personalized tools predict clinical failure (CF; metastasis and/or androgen-independent disease). We developed such a tool through integration of clinicopathologic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40473f18c14d5e813775d2dd4723bf96
https://pubmed.ncbi.nlm.nih.gov/18711177
https://pubmed.ncbi.nlm.nih.gov/18711177