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Laith R. Sultan, Allison Haertter, Maryam Al-Hasani, George Demiris, Theodore W. Cary, Yale Tung-Chen and Chandra M. Sehgal
With the 2019 coronavirus disease (COVID-19) pandemic, there is an increasing demand for remote monitoring technologies to reduce patient and provider exposure. One field that has an increasing potential is teleguided ultrasound, where telemedicine and p...
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Khushboo Guleria, Amit Sehgal, Irshad Ahmad Bhat, Sandeep Kumar Singh, Emanuel Vamanu and Mahendra P. Singh
Black tea is one of the most popular beverages consumed in the world. It is stronger in taste as well as in flavour compared to other less oxidized teas. It is made from the leaves of the shrub Camellia sinensis var. assamica. Black tea can be supplement...
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Laith R. Sultan, Theodore W. Cary, Maryam Al-Hasani, Mrigendra B. Karmacharya, Santosh S. Venkatesh, Charles-Antoine Assenmacher, Enrico Radaelli and Chandra M. Sehgal
Machine learning for medical imaging not only requires sufficient amounts of data for training and testing but also that the data be independent. It is common to see highly interdependent data whenever there are inherent correlations between observations...
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Abhishek Sehgal and Nasser Kehtarnavaz
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Calvert, K. Griffioen, J. Mullins, B. Natarajan, S. Poutievski, L. Sehgal, A. Wen, S.
Pág. 1377 - 1398
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Calvert, K L; Griffioen, J; Mullins, B C; Sehgal, A; Wen, S
Pág. 426 - 437
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Rakesh Sehgal, O. P. Gandhi, and S. Angra
Pág. 486 - 493
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