Article Menu
- Academic Editor
- Subscribe SciFeed
- Recommended Articles
- Related Info Links
-
More by Authors Links
- on DOAJ
- Suri, J. S.
- Agarwal, S.
- Chabert, G. Luca
- Carriero, A.
- Paschè, A.
- Danna, P. S. C.
- Saba, L.
- Mehmedović, A.
- Faa, G.
- Singh, I. M.
- Turk, M.
- Chadha, P. S.
- Johri, A. M.
- Khanna, N. N.
- Mavrogeni, S.
- Laird, J. R.
- Pareek, G.
- Miner, M.
- Sobel, D. W.
- Balestrieri, A.
- Sfikakis, P. P.
- Tsoulfas, G.
- Protogerou, A. D.
- 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.
- Nagy, F.
- Ruzsa, Z.
- Fouda, M. M.
- Naidu, S.
- Viskovic, K.
- Kalra, M. K.
- on Google Scholar
- Suri, J. S.
- Agarwal, S.
- Chabert, G. Luca
- Carriero, A.
- Paschè, A.
- Danna, P. S. C.
- Saba, L.
- Mehmedović, A.
- Faa, G.
- Singh, I. M.
- Turk, M.
- Chadha, P. S.
- Johri, A. M.
- Khanna, N. N.
- Mavrogeni, S.
- Laird, J. R.
- Pareek, G.
- Miner, M.
- Sobel, D. W.
- Balestrieri, A.
- Sfikakis, P. P.
- Tsoulfas, G.
- Protogerou, A. D.
- 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.
- Nagy, F.
- Ruzsa, Z.
- Fouda, M. M.
- Naidu, S.
- Viskovic, K.
- Kalra, M. K.
- on PubMed
- Suri, J. S.
- Agarwal, S.
- Chabert, G. Luca
- Carriero, A.
- Paschè, A.
- Danna, P. S. C.
- Saba, L.
- Mehmedović, A.
- Faa, G.
- Singh, I. M.
- Turk, M.
- Chadha, P. S.
- Johri, A. M.
- Khanna, N. N.
- Mavrogeni, S.
- Laird, J. R.
- Pareek, G.
- Miner, M.
- Sobel, D. W.
- Balestrieri, A.
- Sfikakis, P. P.
- Tsoulfas, G.
- Protogerou, A. D.
- 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.
- Nagy, F.
- Ruzsa, Z.
- Fouda, M. M.
- Naidu, S.
- Viskovic, K.
- Kalra, M. K.
Need Help?
Order Article Reprints
Journal: Diagnostics, 2022
Volume: 12
Number: 1283
1283
Article:
COVLIAS 1.0Lesion vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans
Authors:
by
Jasjit S. Suri, Sushant Agarwal, Gian Luca Chabert, Alessandro Carriero, Alessio Paschè, Pietro S. C. Danna, Luca Saba, Armin Mehmedović, Gavino Faa, Inder M. Singh, Monika Turk, Paramjit S. Chadha, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Martin Miner, David W. Sobel, Antonella Balestrieri, Petros P. Sfikakis, George Tsoulfas, Athanasios D. 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, Ferenc Nagy, Zoltan Ruzsa, Mostafa M. Fouda, Subbaram Naidu, Klaudija Viskovic and Manudeep K. Kalraadd
Show full author list
remove
Hide full author list
Link:
https://www.mdpi.com/2075-4418/12/5/1283
MDPI offers high quality article reprints with convenient shipping to destinations worldwide. Each reprint features a 270 gsm bright white cover
and 105 gsm premium white paper, bound with two stitches for durability and printed in full color. The cover design is customized to your article
and designed to be complimentary to the journal.
Cite
Suri, J.S.; Agarwal, S.; Chabert, G.L.; Carriero, A.; Paschè, A.; Danna, P.S.C.; Saba, L.; Mehmedović, A.; Faa, G.; Singh, I.M.; et al. COVLIAS 1.0Lesion vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans. Diagnostics 2022, 12, 1283. https://doi.org/10.3390/diagnostics12051283
Suri JS, Agarwal S, Chabert GL, Carriero A, Paschè A, Danna PSC, Saba L, Mehmedović A, Faa G, Singh IM, et al. COVLIAS 1.0Lesion vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans. Diagnostics. 2022; 12(5):1283. https://doi.org/10.3390/diagnostics12051283
Chicago/Turabian StyleSuri, Jasjit S., Sushant Agarwal, Gian Luca Chabert, Alessandro Carriero, Alessio Paschè, Pietro S. C. Danna, Luca Saba, Armin Mehmedović, Gavino Faa, Inder M. Singh, and et al. 2022. "COVLIAS 1.0Lesion vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans" Diagnostics 12, no. 5: 1283. https://doi.org/10.3390/diagnostics12051283
APA StyleSuri, J. S., Agarwal, S., Chabert, G. L., Carriero, A., Paschè, A., Danna, P. S. C., Saba, L., Mehmedović, A., Faa, G., Singh, I. M., Turk, M., Chadha, P. S., Johri, A. M., Khanna, N. N., Mavrogeni, S., Laird, J. R., Pareek, G., Miner, M., Sobel, D. W., ... Kalra, M. K. (2022). COVLIAS 1.0Lesion vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans. Diagnostics, 12(5), 1283. https://doi.org/10.3390/diagnostics12051283
