Zobrazeno 1 - 10
of 20 312
pro vyhledávání: '"C. Blake"'
Autor:
Mirabadi, Ali Khajegili, Archibald, Graham, Darbandsari, Amirali, Contreras-Sanz, Alberto, Nakhli, Ramin Ebrahim, Asadi, Maryam, Zhang, Allen, Gilks, C. Blake, Black, Peter, Wang, Gang, Farahani, Hossein, Bashashati, Ali
Cancer subtyping is one of the most challenging tasks in digital pathology, where Multiple Instance Learning (MIL) by processing gigapixel whole slide images (WSIs) has been in the spotlight of recent research. However, MIL approaches do not take adv
Externí odkaz:
http://arxiv.org/abs/2402.03592
Autor:
Nakhli, Ramin, Zhang, Allen, Farahani, Hossein, Darbandsari, Amirali, Shenasa, Elahe, Thiessen, Sidney, Milne, Katy, McAlpine, Jessica, Nelson, Brad, Gilks, C Blake, Bashashati, Ali
In clinical practice, many diagnosis tasks rely on the identification of cells in histopathology images. While supervised machine learning techniques require labels, providing manual cell annotations is time-consuming due to the large number of cells
Externí odkaz:
http://arxiv.org/abs/2303.04696
Autor:
Maryam Asadi-Aghbolaghi, Amirali Darbandsari, Allen Zhang, Alberto Contreras-Sanz, Jeffrey Boschman, Pouya Ahmadvand, Martin Köbel, David Farnell, David G. Huntsman, Andrew Churg, Peter C. Black, Gang Wang, C. Blake Gilks, Hossein Farahani, Ali Bashashati
Publikováno v:
npj Precision Oncology, Vol 8, Iss 1, Pp 1-18 (2024)
Abstract Investigation of histopathology slides by pathologists is an indispensable component of the routine diagnosis of cancer. Artificial intelligence (AI) has the potential to enhance diagnostic accuracy, improve efficiency, and patient outcomes
Externí odkaz:
https://doaj.org/article/72c28cf50b92406fb499cf977e8ae969
Autor:
Amirali Darbandsari, Hossein Farahani, Maryam Asadi, Matthew Wiens, Dawn Cochrane, Ali Khajegili Mirabadi, Amy Jamieson, David Farnell, Pouya Ahmadvand, Maxwell Douglas, Samuel Leung, Purang Abolmaesumi, Steven J. M. Jones, Aline Talhouk, Stefan Kommoss, C. Blake Gilks, David G. Huntsman, Naveena Singh, Jessica N. McAlpine, Ali Bashashati
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Endometrial cancer (EC) has four molecular subtypes with strong prognostic value and therapeutic implications. The most common subtype (NSMP; No Specific Molecular Profile) is assigned after exclusion of the defining features of the other th
Externí odkaz:
https://doaj.org/article/662df4c2a8c74fef89e91218b2ae148f
Autor:
Anna Newton-Levinson, Kelsey Griffin, Sarah C- Blake, Andrea Swartzendruber, Michael Kramer, Jessica M- Sales
Publikováno v:
BMC Health Services Research, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background Disparities in rates of contraceptive use are frequently attributed to unequal access to and affordability of care. There is a need to better understand whether common definitions of affordability that solely relate to cost or to
Externí odkaz:
https://doaj.org/article/6b525e47172349e8a803ad5dff3f5b66
Autor:
Ramin Nakhli, Katherine Rich, Allen Zhang, Amirali Darbandsari, Elahe Shenasa, Amir Hadjifaradji, Sidney Thiessen, Katy Milne, Steven J. M. Jones, Jessica N. McAlpine, Brad H. Nelson, C. Blake Gilks, Hossein Farahani, Ali Bashashati
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract In clinical oncology, many diagnostic tasks rely on the identification of cells in histopathology images. While supervised machine learning techniques necessitate the need for labels, providing manual cell annotations is time-consuming. In t
Externí odkaz:
https://doaj.org/article/d5b7664a19394eb596fe78c48482395e
Autor:
Johannes Ulf Lange, C. Blake, C. Saulder, N. Jeffrey, J. DeRose, G. Beltz-Mohrmann, N. Emas, C. Garcia-Quintero, B. Hadzhiyska, S. Heydenreich, M. Ishak, S. Joudaki, E. Jullo, A. Krolewski, A. Leauthaud, L. Medina-Varela, A. Porredon, G. Rossi, R. Ruggeri, E. Xhakaj, S. Yuan, J. Aguilar, S. Ahlen, D. Brooks, T. Claybaugh, A. de la Macorra, P. Doel, K. Fanning, S. Ferraro, A. Font-Ribera, J. E. Forero-Romero, E. Gaztañaga, S. Gontcho A Gontcho, S. Juneau, R. Kehoe, T. Kisner, A. Kremin, M. Landriau, M. E. Levi, M. Manera, R. Miquel, J. Moustakas, E. Mueller, A. D. Myers, J. Nie, G. Niz, N. Palanque-Delabrouille, C. Poppett, M. Rezaie, E. Sanchez, M. Schubnell, H. Seo, J. Silber, D. Sprayberry, G. Tarlé, M. Vargas-Magaña, R. H. Wechsler, Z. Zhou, H. Zou
Publikováno v:
The Open Journal of Astrophysics, Vol 7 (2024)
The Dark Energy Spectroscopic Instrument (DESI) survey will measure spectroscopic redshifts for millions of galaxies across roughly $14,000 \, \mathrm{deg}^2$ of the sky. Cross-correlating targets in the DESI survey with complementary imaging surveys
Externí odkaz:
https://doaj.org/article/b5edb301977543cab10b221709c94adf
Publikováno v:
In Diagnostic Histopathology September 2024 30(9):499-510
Autor:
Höhn, Anne Kathrin, Forberger, Mirjam, Alfaraidi, Mona, Gilks, C. Blake, Brambs, Christine Elisabeth, Höckel, Michael, Hoang, Lynn, Singh, Naveena, Horn, Lars-Christian
Publikováno v:
In Gynecologic Oncology June 2024 185:17-24
Autor:
Salva N. Balbale, Willemijn L. A. Schäfer, Teaniese L. Davis, Sarah C. Blake, Sharron Close, Gwyneth A. Sullivan, Audra J. Reiter, Andrew J. Hu, Charesa J. Smith, Maxwell J. Wilberding, Julie K. Johnson, Jane L. Holl, Mehul V. Raval
Publikováno v:
Implementation Science Communications, Vol 4, Iss 1, Pp 1-13 (2023)
Abstract Background Rapid-cycle feedback loops provide timely information and actionable feedback to healthcare organizations to accelerate implementation of interventions. We aimed to (1) describe a mixed-method approach for generating and deliverin
Externí odkaz:
https://doaj.org/article/969b47f883e34e37ace85aa20155b5e2