Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Subhadip Mukherjee"'
Autor:
Thomas Buddenkotte, Leonardo Rundo, Ramona Woitek, Lorena Escudero Sanchez, Lucian Beer, Mireia Crispin-Ortuzar, Christian Etmann, Subhadip Mukherjee, Vlad Bura, Cathal McCague, Hilal Sahin, Roxana Pintican, Marta Zerunian, Iris Allajbeu, Naveena Singh, Anju Sahdev, Laura Havrilesky, David E. Cohn, Nicholas W. Bateman, Thomas P. Conrads, Kathleen M. Darcy, G. Larry Maxwell, John B. Freymann, Ozan Öktem, James D. Brenton, Evis Sala, Carola-Bibiane Schönlieb
Publikováno v:
European Radiology Experimental, Vol 7, Iss 1, Pp 1-10 (2023)
Abstract Purpose To determine if pelvic/ovarian and omental lesions of ovarian cancer can be reliably segmented on computed tomography (CT) using fully automated deep learning-based methods. Methods A deep learning model for the two most common disea
Externí odkaz:
https://doaj.org/article/d86351df71064c6098a739ef36b913d9
Publikováno v:
Engineering Proceedings, Vol 56, Iss 1, p 129 (2023)
In the era of digital communication and social networking, the authenticity and integrity of personal social network profiles have become crucial for establishing trust and ensuring secure interactions. Existing methods often suffer from vulnerabilit
Externí odkaz:
https://doaj.org/article/7e31ea16a8b9487ea5a4b12036df4c8b
Autor:
Stefano van Gogh, Subhadip Mukherjee, Jinqiu Xu, Zhentian Wang, Michał Rawlik, Zsuzsanna Varga, Rima Alaifari, Carola-Bibiane Schönlieb, Marco Stampanoni
Publikováno v:
PLoS ONE, Vol 17, Iss 9, p e0272963 (2022)
Breast cancer remains the most prevalent malignancy in women in many countries around the world, thus calling for better imaging technologies to improve screening and diagnosis. Grating interferometry (GI)-based phase contrast X-ray CT is a promising
Externí odkaz:
https://doaj.org/article/e52acdf35c7d4a569c75b36acdb27ece
Autor:
Angira Dasgupta, Aloke Gopal Ghoshal, Ansuman Mukhopadhyay, Susmita Kundu, Subhadip Mukherjee, Sushmita Roychowdhury, Raja Dhar, Sumit Sengupta
Publikováno v:
Lung India, Vol 32, Iss 1, Pp 34-39 (2015)
Introduction: Spirometry measurements are interpreted by comparing with reference values for healthy individuals that have been derived from multiple regression equations from earlier studies. There are only two such studies from Eastern India, both
Externí odkaz:
https://doaj.org/article/82ee94bf4873492a9bb1414c4d6c1cff
Publikováno v:
International Journal of Comparative Education and Development. 24:206-227
PurposeIt is unfortunate yet true that in India, research starts and ends with a Ph.D. The steady decline in the quality of doctoral research has been an articulated concern among Indian academics at a time when research and innovation should be a pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bafb0f71716d413a6090d2775ac419c7
https://doi.org/10.1108/ijced-08-2022-0057
https://doi.org/10.1108/ijced-08-2022-0057
Publikováno v:
Plant Physiology Reports. 27:225-233
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfcd5534c56dad78fd3393cc45819a01
https://doi.org/10.1007/s40502-022-00655-y
https://doi.org/10.1007/s40502-022-00655-y
Autor:
Stefano van Gogh, Michał Rawlik, Alexandre Pereira, Simon Spindler, Subhadip Mukherjee, Marie-Christine Zdora, Martin Stauber, Rima Alaifari, Zsuzsanna Varga, Marco Stampanoni
Publikováno v:
Optics Express, 31 (5)
X-ray grating interferometry CT (GI-CT) is an emerging imaging modality which provides three complementary contrasts that could increase the diagnostic content of clinical breast CT: absorption, phase, and dark-field. Yet, reconstructing the three im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b062a549558a634f5ae399facd429930
https://hdl.handle.net/20.500.11850/602557
https://hdl.handle.net/20.500.11850/602557
Publikováno v:
International Journal of Finance & Economics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d0d7d96cc753055b322d2108c38d423
https://doi.org/10.1002/ijfe.2763
https://doi.org/10.1002/ijfe.2763
Autor:
Thomas Buddenkotte, Leonardo Rundo, Ramona Woitek, Lorena Escudero Sanchez, Lucian Beer, Mireia Crispin-Ortuzar, Christian Etmann, Subhadip Mukherjee, Vlad Bura, Cathal McCague, Hilal Sahin, Roxana Pintican, Marta Zerunian, Iris Allajbeu, Naveena Singh, Sahdev Anju, Laura Havrilesky, David E. Cohn, Nicholas W. Bateman, Thomas P. Conrads, Kathleen M. Darcy, G. Larry Maxwell, John B. Freymann, Ozan Öktem, James D. Brenton, Evis Sala, Carola-Bibiane Schönlieb
PurposeTo determine if pelvic/ovarian and omental lesions of ovarian cancer can be reliably segmented on computed tomography (CT) using fully automated deep learning-based methods.Materials and MethodsA deep learning model for the two most common dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75c51bb2ba7df6a652896f1d2766d7a3
https://doi.org/10.1101/2023.01.10.22279679
https://doi.org/10.1101/2023.01.10.22279679
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9789811951909
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3afe2a242713b85fb5cbf828963e9682
https://doi.org/10.1007/978-981-19-5191-6_31
https://doi.org/10.1007/978-981-19-5191-6_31