Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Eric Fornaciari"'
Autor:
Mahdi Yaghoobi, Michael S. Samuel, Rebecca J. Ormsby, Damon J. Tumes, Guillermo A. Gomez, Kaitlin G. Scheer, Narjes Sadat Bagherian, Santosh Poonnoose, Eric Fornaciari, Mark D. McDonnell, Amin Zadeh Shirazi
Publikováno v:
British Journal of Cancer
BackgroundGlioblastoma is the most aggressive type of brain cancer with high-levels of intra- and inter-tumour heterogeneity that contribute to its rapid growth and invasion within the brain. However, a spatial characterisation of gene signatures and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70e5a7f52a8856ff71a038d688355bdf
https://doi.org/10.1038/s41416-021-01394-x
https://doi.org/10.1038/s41416-021-01394-x
Autor:
Eric Fornaciari, Narjes Sadat Bagherian, Lisa M. Ebert, Barbara Koszyca, Guillermo A. Gomez, Amin Zadeh Shirazi
Publikováno v:
Medical & Biological Engineering & Computing
Histopathological whole slide images of haematoxylin and eosin (H&E)-stained biopsies contain valuable information with relation to cancer disease and its clinical outcomes. Still, there are no highly accurate automated methods to correlate histolopa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0004ce6a1113d806ad8b144aec10f0b8
http://europepmc.org/articles/PMC7188709
http://europepmc.org/articles/PMC7188709
Autor:
Amin Zadeh Shirazi, Mahdi Yaghoobi, Guillermo A. Gomez, Eric Fornaciari, Deysi Inca, Luis Tello-Oquendo, Mark D. McDonnell, Yesenia Cevallos
Publikováno v:
Journal of Personalized Medicine, Vol 10, Iss 224, p 224 (2020)
Journal of Personalized Medicine
Journal of Personalized Medicine
In recent years, improved deep learning techniques have been applied to biomedical image processing for the classification and segmentation of different tumors based on magnetic resonance imaging (MRI) and histopathological imaging (H&E) clinical inf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3db119561c4d3fe432bdf9650b902548
https://www.mdpi.com/2075-4426/10/4/224
https://www.mdpi.com/2075-4426/10/4/224
Autor:
Said Agrebi, Omar Arnaout, Göksu Bozdereli Berikol, Gürkan Berikol, Arthur Bertachi, Lyvia Biagi, Alessandro Boaro, Durhasan Bozdereli, Vitória Negri Braz, Massimo Buscema, Aletha Silva Caetano, Francisco Edgar Castillo-Barrera, Ana Cernea, Myriam Cilla, Ivan Contreras, Nicholas Cummins, Giuliano Roberto da Silva, Enrique J. deAndrés-Galiana, John Jaime Sprockel Díaz, Jorge Luis Machado do Amaral, Estela S. Estapé, Juan Luis Fernández-Martínez, Francisco Javier Fernández-Ovies, Ana Claudia Barbosa Honório Ferreira, Danton Diego Ferreira, Eric Fornaciari, Preetam Ghosh, Guillermo A. Gomez, William B. Gormley, Enzo Grossi, Michael Hagan, Alexander F.C. Hulsbergen, Anushtha Kalia, Rishabh Kapoor, Vasileios Kavouridis, Julia Klapper, Andrzej Kloczkowski, Linda Laras, Anis Larbi, Saul Oswaldo Lugo Reyes, Adria Mallol-Ragolta, Marco Mammi, Javier Martínez, Miguel Ángel Martínez, Francisco Eduardo Martínez-Pérez, Giulia Massini, Faith Matcham, Mary Helen Mays, Pedro Lopes de Melo, Maria Helena Baena de Moraes Lopes, Aditya Nagori, Joseph J. Nalluri, Sandra Edith Nava-Muñoz, Jose I. Nunez-Varela, Carlos Ortíz, Silvia Oviedo, Jatinder Palta, Estefanía Peña, Héctor Gerardo Pérez-González, Charrise Ramkissoon, Zhao Ren, Björn Schuller, Joeky T. Senders, Tavpritesh Sethi, Arjun Sharma, William C. Sleeman, Timothy R. Smith, Abdulhamit Subasi, Khajamoinuddin Syed, Josep Vehi, Amin Zadeh Shirazi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c08c6cd5f281238504ed359c3d790b9a
https://doi.org/10.1016/b978-0-12-817133-2.09992-4
https://doi.org/10.1016/b978-0-12-817133-2.09992-4
Publikováno v:
Artificial Intelligence in Precision Health ISBN: 9780128171332
This chapter introduces deep learning and its application in precision medicine. It provides the readers the knowledge about the prerequisites for working with deep learning and the potential that this technique to better understand human diseases, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32b8f894c13c5c15ba8f831dba5f9169
https://doi.org/10.1016/b978-0-12-817133-2.00003-3
https://doi.org/10.1016/b978-0-12-817133-2.00003-3
Autor:
Narjes Sadat Bagherian, Mahdi Yaghoobi, Amin Zadeh Shirazi, Michael S. Samuel, Rebecca J. Ormsby, Damon J. Tumes, Guillermo A. Gomez, Mark D. McDonnell, Santosh Poonnoose, Eric Fornaciari, Kaitlin G. Scheer
Publikováno v:
Clinical Cancer Research. 27:PO-004
Glioblastoma is the most aggressive type of brain cancer with high-levels of intra- and inter-tumour heterogeneity that contribute to its rapid growth and invasion within the brain. Here, we have used a deep convolutional neural network (DCNN) as a s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e140870d383eeb16f05254b4ea660301
https://doi.org/10.1158/1557-3265.adi21-po-004
https://doi.org/10.1158/1557-3265.adi21-po-004