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- Suri, J. S.
- Agarwal, S.
- Pathak, R.
- Ketireddy, V.
- Columbu, M.
- Saba, L.
- Gupta, S. K.
- Faa, G.
- Singh, I. M.
- Turk, M.
- Chadha, P. S.
- Johri, A. M.
- Khanna, N. N.
- Viskovic, K.
- Mavrogeni, S.
- Laird, J. R.
- Pareek, G.
- Miner, M.
- Sobel, D. W.
- Balestrieri, A.
- Sfikakis, P. P.
- Tsoulfas, G.
- Protogerou, A.
- Misra, D. Prasanna
- Agarwal, V.
- Kitas, G. D.
- Teji, J. S.
- Al-Maini, M.
- Dhanjil, S. K.
- Nicolaides, A.
- Sharma, A.
- Rathore, V.
- Fatemi, M.
- Alizad, A.
- Krishnan, P. R.
- Frence, N.
- Ruzsa, Z.
- Gupta, A.
- Naidu, S.
- Kalra, M.
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- Suri, J. S.
- Agarwal, S.
- Pathak, R.
- Ketireddy, V.
- Columbu, M.
- Saba, L.
- Gupta, S. K.
- Faa, G.
- Singh, I. M.
- Turk, M.
- Chadha, P. S.
- Johri, A. M.
- Khanna, N. N.
- Viskovic, K.
- Mavrogeni, S.
- Laird, J. R.
- Pareek, G.
- Miner, M.
- Sobel, D. W.
- Balestrieri, A.
- Sfikakis, P. P.
- Tsoulfas, G.
- Protogerou, A.
- Misra, D. Prasanna
- Agarwal, V.
- Kitas, G. D.
- Teji, J. S.
- Al-Maini, M.
- Dhanjil, S. K.
- Nicolaides, A.
- Sharma, A.
- Rathore, V.
- Fatemi, M.
- Alizad, A.
- Krishnan, P. R.
- Frence, N.
- Ruzsa, Z.
- Gupta, A.
- Naidu, S.
- Kalra, M.
- on PubMed
- Suri, J. S.
- Agarwal, S.
- Pathak, R.
- Ketireddy, V.
- Columbu, M.
- Saba, L.
- Gupta, S. K.
- Faa, G.
- Singh, I. M.
- Turk, M.
- Chadha, P. S.
- Johri, A. M.
- Khanna, N. N.
- Viskovic, K.
- Mavrogeni, S.
- Laird, J. R.
- Pareek, G.
- Miner, M.
- Sobel, D. W.
- Balestrieri, A.
- Sfikakis, P. P.
- Tsoulfas, G.
- Protogerou, A.
- Misra, D. Prasanna
- Agarwal, V.
- Kitas, G. D.
- Teji, J. S.
- Al-Maini, M.
- Dhanjil, S. K.
- Nicolaides, A.
- Sharma, A.
- Rathore, V.
- Fatemi, M.
- Alizad, A.
- Krishnan, P. R.
- Frence, N.
- Ruzsa, Z.
- Gupta, A.
- Naidu, S.
- Kalra, M.
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Journal: Diagnostics, 2021
Volume: 11
Number: 1405
1405
Article:
COVLIAS 1.0: Lung Segmentation in COVID-19 Computed Tomography Scans Using Hybrid Deep Learning Artificial Intelligence Models
Authors:
by
Jasjit S. Suri, Sushant Agarwal, Rajesh Pathak, Vedmanvitha Ketireddy, Marta Columbu, Luca Saba, Suneet K. Gupta, Gavino Faa, Inder M. Singh, Monika Turk, Paramjit S. Chadha, Amer M. Johri, Narendra N. Khanna, Klaudija Viskovic, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Martin Miner, David W. Sobel, Antonella Balestrieri, Petros P. Sfikakis, George Tsoulfas, Athanasios Protogerou, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Jagjit S. Teji, Mustafa Al-Maini, Surinder K. Dhanjil, Andrew Nicolaides, Aditya Sharma, Vijay Rathore, Mostafa Fatemi, Azra Alizad, Pudukode R. Krishnan, Nagy Frence, Zoltan Ruzsa, Archna Gupta, Subbaram Naidu and Mannudeep Kalraadd
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Cite
Suri, J.S.; Agarwal, S.; Pathak, R.; Ketireddy, V.; Columbu, M.; Saba, L.; Gupta, S.K.; Faa, G.; Singh, I.M.; Turk, M.; et al. COVLIAS 1.0: Lung Segmentation in COVID-19 Computed Tomography Scans Using Hybrid Deep Learning Artificial Intelligence Models. Diagnostics 2021, 11, 1405. https://doi.org/10.3390/diagnostics11081405
Suri JS, Agarwal S, Pathak R, Ketireddy V, Columbu M, Saba L, Gupta SK, Faa G, Singh IM, Turk M, et al. COVLIAS 1.0: Lung Segmentation in COVID-19 Computed Tomography Scans Using Hybrid Deep Learning Artificial Intelligence Models. Diagnostics. 2021; 11(8):1405. https://doi.org/10.3390/diagnostics11081405
Chicago/Turabian StyleSuri, Jasjit S., Sushant Agarwal, Rajesh Pathak, Vedmanvitha Ketireddy, Marta Columbu, Luca Saba, Suneet K. Gupta, Gavino Faa, Inder M. Singh, Monika Turk, and et al. 2021. "COVLIAS 1.0: Lung Segmentation in COVID-19 Computed Tomography Scans Using Hybrid Deep Learning Artificial Intelligence Models" Diagnostics 11, no. 8: 1405. https://doi.org/10.3390/diagnostics11081405
APA StyleSuri, J. S., Agarwal, S., Pathak, R., Ketireddy, V., Columbu, M., Saba, L., Gupta, S. K., Faa, G., Singh, I. M., Turk, M., Chadha, P. S., Johri, A. M., Khanna, N. N., Viskovic, K., Mavrogeni, S., Laird, J. R., Pareek, G., Miner, M., Sobel, D. W., ... Kalra, M. (2021). COVLIAS 1.0: Lung Segmentation in COVID-19 Computed Tomography Scans Using Hybrid Deep Learning Artificial Intelligence Models. Diagnostics, 11(8), 1405. https://doi.org/10.3390/diagnostics11081405