Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Pillai, Anup"'
Autor:
Kanjaria, Karina, Pillai, Anup, Shivade, Chaitanya, Bendersky, Marina, Jadhav, Ashutosh, Mukherjee, Vandana, Syeda-Mahmood, Tanveer
Publikováno v:
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, ISBN 978-989-758-398-8, pages 178-186. 2020
Due to advances in machine learning and artificial intelligence (AI), a new role is emerging for machines as intelligent assistants to radiologists in their clinical workflows. But what systematic clinical thought processes are these machines using?
Externí odkaz:
http://arxiv.org/abs/2009.06082
Autor:
Syeda-Mahmood, Tanveer, Wong, Ken C. L., Gur, Yaniv, Wu, Joy T., Jadhav, Ashutosh, Kashyap, Satyananda, Karargyris, Alexandros, Pillai, Anup, Sharma, Arjun, Syed, Ali Bin, Boyko, Orest, Moradi, Mehdi
Obtaining automated preliminary read reports for common exams such as chest X-rays will expedite clinical workflows and improve operational efficiencies in hospitals. However, the quality of reports generated by current automated approaches is not ye
Externí odkaz:
http://arxiv.org/abs/2007.13831
Autor:
Wong, Ken C. L., Moradi, Mehdi, Wu, Joy, Pillai, Anup, Sharma, Arjun, Gur, Yaniv, Ahmad, Hassan, Chowdary, Minnekanti Sunil, J, Chiranjeevi, Polaka, Kiran Kumar Reddy, Wunnava, Venkateswar, Reddy, DC, Syeda-Mahmood, Tanveer
We propose a novel deep neural network architecture for normalcy detection in chest X-ray images. This architecture treats the problem as fine-grained binary classification in which the normal cases are well-defined as a class while leaving all other
Externí odkaz:
http://arxiv.org/abs/2004.06147
Autor:
Syeda-Mahmood, Tanveer, Ahmad, Hassan M., Ansari, Nadeem, Gur, Yaniv, Kashyap, Satyananda, Karargyris, Alexandros, Moradi, Mehdi, Pillai, Anup, Sheshadri, Karthik, Wang, Weiting, Wong, Ken C. L., Wu, Joy T.
Chest X-rays are the most common diagnostic exams in emergency rooms and hospitals. There has been a surge of work on automatic interpretation of chest X-rays using deep learning approaches after the availability of large open source chest X-ray data
Externí odkaz:
http://arxiv.org/abs/1906.09336
Autor:
Pillai, Anup Gopalakrishna1 (AUTHOR), Nadkarni, Suhita1 (AUTHOR) suhita@iiserpune.ac.in
Publikováno v:
PLoS Computational Biology. 8/1/2022, Vol. 18 Issue 8, p1-25. 25p. 1 Diagram, 7 Graphs.
Akademický článek
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Autor:
Pillai, Anup G.1 a.g.pillai@umcutrecht.nl, Henckens, Marloes J. A. G.1,2, Fernández, Guillén2,3, Joëls, Marian1
Publikováno v:
PLoS ONE. Jun2014, Vol. 9 Issue 6, p1-11. 11p.
Autor:
Pillai, Anup G.1,2 A.G.Pillai@umcutrecht.nl, Danielle de Jong2, Kanatsou, Sofia1,2, Krugers, Harm2, Knapman, Alana3, Heinzmann, Jan-Michael3, Holsboer, Florian3, Landgraf, Rainer3, Joëls, Marian1,2, Touma, Chadi3
Publikováno v:
PLoS ONE. Jun2012, Vol. 7 Issue 6, p1-10. 10p.
Autor:
Pillai, Anup, Katouzian, Amin, Kanjaria, Karina, Shivade, Chaitanya, Jadhav, Ashutosh, Bendersky, Marina, Mukherjee, Vandana, Syeda-Mahmood, Tanveer
Publikováno v:
Proceedings of SPIE; 1/17/2019, Vol. 10954, p1095418-1-1095418-6, 6p
Akademický článek
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