Zobrazeno 1 - 10
of 197
pro vyhledávání: '"Norgan Andrew P"'
Autor:
Gonzalez, Ricardo, Nejat, Peyman, Saha, Ashirbani, Campbell, Clinton J. V., Norgan, Andrew P., Lokker, Cynthia
Publikováno v:
Journal of Pathology Informatics. 2023;15:100348
Numerous machine learning (ML) models have been developed for breast cancer using various types of data. Successful external validation (EV) of ML models is important evidence of their generalizability. The aim of this systematic review was to assess
Externí odkaz:
http://arxiv.org/abs/2312.06697
Autor:
Gonzalez, Ricardo, Saha, Ashirbani, Campbell, Clinton J. V., Nejat, Peyman, Lokker, Cynthia, Norgan, Andrew P.
Publikováno v:
Journal of Pathology Informatics 15 (2024) 100347
This paper discusses some overlooked challenges faced when working with machine learning models for histopathology and presents a novel opportunity to support "Learning Health Systems" with them. Initially, the authors elaborate on these challenges a
Externí odkaz:
http://arxiv.org/abs/2312.03812
Autor:
Gonzalez, Ricardo, Saha, Ashirbani, Campbell, Clinton J.V., Nejat, Peyman, Lokker, Cynthia, Norgan, Andrew P.
Publikováno v:
In Journal of Pathology Informatics December 2024 15
Autor:
Gonzalez, Ricardo, Nejat, Peyman, Saha, Ashirbani, Campbell, Clinton J.V., Norgan, Andrew P., Lokker, Cynthia
Publikováno v:
In Journal of Pathology Informatics December 2024 15
Autor:
Tekin, Burak, Cubilla, Antonio L., Cheville, John C., Smith, Carin Y., Jenkins, Sarah M., Dasari, Surendra, Enninga, Elizabeth Ann L., Norgan, Andrew P., Menon, Santosh, Whaley, Rumeal D., Hernandez, Loren Herrera, Jimenez, Rafael E., Garcia, Joaquin J., Thompson, R. Houston, Leibovich, Bradley C., Karnes, R. Jeffrey, Boorjian, Stephen A., Pagliaro, Lance C., Erickson, Lori A., Guo, Ruifeng, Gupta, Sounak
Publikováno v:
In Human Pathology August 2024 150:9-19
Autor:
Tekin, Burak, Sali, Akash P., Menon, Santosh, Cheville, John C., Smith, Carin Y., Jenkins, Sarah M., Dasari, Surendra, Enninga, Elizabeth Ann L., Norgan, Andrew P., Cubilla, Antonio L., Whaley, Rumeal D., Hernandez, Loren Herrera, Jimenez, Rafael E., Garcia, Joaquin J., Thompson, R. Houston, Leibovich, Bradley C., Karnes, R. Jeffrey, Boorjian, Stephen A., Pagliaro, Lance C., Erickson, Lori A., Guo, Ruifeng, Gupta, Sounak
Publikováno v:
In Human Pathology June 2024 148:81-86
Publikováno v:
Journal of Cheminformatics, Vol 3, Iss 1, p 12 (2011)
Abstract Background Virtual (computational) screening is an increasingly important tool for drug discovery. AutoDock is a popular open-source application for performing molecular docking, the prediction of ligand-receptor interactions. AutoDock is a
Externí odkaz:
https://doaj.org/article/24843e871f614fbb9537242165387009
Autor:
Tekin, Burak, Cheville, John C., Herrera Hernandez, Loren, Negron, Vivian, Smith, Carin Y., Jenkins, Sarah M., Dasari, Surendra, Enninga, Elizabeth Ann L., Norgan, Andrew P., Menon, Santosh, Cubilla, Antonio L., Whaley, Rumeal D., Jimenez, Rafael E., Thompson, R. Houston, Leibovich, Bradley C., Karnes, R. Jeffrey, Boorjian, Stephen A., Pagliaro, Lance C., Erickson, Lori A., Guo, Ruifeng, Gupta, Sounak
Publikováno v:
In Human Pathology December 2023 142:42-50
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.