Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Veena Ramanan"'
Autor:
Sabitha Krishnamoorthy, Sudhakar Ramakrishnan, Lanson Brijesh Colaco, Akshay Dias, Indu K Gopi, Gautham AG Gowda, KC Aishwarya, Veena Ramanan, Manju Chandran
Publikováno v:
Indian Journal of Radiology and Imaging, Vol 31, Pp S53-S60 (2021)
Background: Whether the sensitivity of Deep Learning (DL) models to screen chest radiographs (CXR) for CoVID-19 can approximate that of radiologists, so that they can be adopted and used if real-time review of CXRs by radiologists is not possible, ha
Externí odkaz:
https://doaj.org/article/5f5ca53f5a5d4e9da9a40252a9266d31
Autor:
K Suresh Kumaran, Pradeep Gnansekharan, Gunalan Sellamuthu, Kemundel Genny Suresh Rao, Jagdish Dhushyanthan, Komarakshi R. Balakrishnan, Senthil Mettur, Mohan Rajam, Murali Krishna Tanguturu, Ajay Arvind, K. Ramasubramanian, Veena Ramanan, Ganapathy Subramaniam, Ravikumar Ratnagiri
Publikováno v:
Annals of Pediatric Cardiology
Aims and Objectives: There is a paucity of data regarding the outcomes of Heart transplantation in children from the Indian subcontinent. The data of patients under the age of 18 undergoing an isolated heart transplantation was analyzed for patient c
Autor:
Gautham A G Gowda, Manju Chandran, KC Aishwarya, Indu K Gopi, Lanson Brijesh Colaco, Sabitha Krishnamoorthy, Akshay Dias, Veena Ramanan, Sudhakar Ramakrishnan
Publikováno v:
The Indian Journal of Radiology & Imaging
Indian Journal of Radiology and Imaging, Vol 31, Pp S53-S60 (2021)
Indian Journal of Radiology and Imaging, Vol 31, Pp S53-S60 (2021)
Background: Whether the sensitivity of Deep Learning (DL) models to screen chest radiographs (CXR) for CoVID-19 can approximate that of radiologists, so that they can be adopted and used if real-time review of CXRs by radiologists is not possible, ha
Autor:
RATNAGIRI, RAVIKUMAR, BALAKRISHNAN, KOMARAKSHI R, Rao K G, Suresh, Muralikrishna, T, Veena, Ramanan
Publikováno v:
Circulation (Ovid); November 2021, Vol. 144 Issue: Supplement 1 pA13661-A13661, 1p