CHABERT, GIAN LUCA
CHABERT, GIAN LUCA
Ensemble Deep Learning Derived from Transfer Learning for Classification of COVID-19 Patients on Hybrid Deep-Learning-Based Lung Segmentation: A Data Augmentation and Balancing Framework
2023-01-01 Dubey, Arun Kumar; Chabert, Gian Luca; Carriero, Alessandro; Pasche, Alessio; Danna, Pietro S C; Agarwal, Sushant; Mohanty, Lopamudra; Nillmani, Null; Sharma, Neeraj; Yadav, Sarita; Jain, Achin; Kumar, Ashish; Kalra, Mannudeep K; Sobel, David W; Laird, John R; Singh, Inder M; Singh, Narpinder; Tsoulfas, George; Fouda, Mostafa M; Alizad, Azra; Kitas, George D; Khanna, Narendra N; Viskovic, Klaudija; Kukuljan, Melita; Al-Maini, Mustafa; El-Baz, Ayman; Saba, Luca; Suri, Jasjit S
COVLIAS 1.0Lesion vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans
2022-01-01 Suri, J. S.; Agarwal, S.; Chabert, G. L.; Carriero, A.; Pasche, A.; Danna, P. S. C.; Saba, L.; Mehmedovic, 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. P.; 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.
COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography Scans
2022-01-01 Suri, J. S.; Agarwal, S.; Chabert, G. L.; Carriero, A.; Pasche, A.; Danna, P. S. C.; Saba, L.; Mehmedovic, 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. P.; 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.
Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0
2022-01-01 Agarwal, M.; Agarwal, S.; Saba, L.; Chabert, G. L.; Gupta, S.; Carriero, A.; Pasche, A.; Danna, P.; Mehmedovic, A.; Faa, G.; Shrivastava, S.; Jain, K.; Jain, H.; Jujaray, T.; Singh, I. M.; Turk, M.; Chadha, P. S.; Johri, A. M.; Khanna, N. N.; Mavrogeni, S.; Laird, J. R.; Sobel, D. W.; Miner, M.; Balestrieri, A.; Sfikakis, P. P.; Tsoulfas, G.; Misra, D. P.; 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.; Yadav, R. R.; Nagy, F.; Kincses, Z. T.; Ruzsa, Z.; Naidu, S.; Viskovic, K.; Kalra, M. K.; Suri, J. S.
Multicenter Study on COVID-19 Lung Computed Tomography Segmentation with varying Glass Ground Opacities using Unseen Deep Learning Artificial Intelligence Paradigms: COVLIAS 1.0 Validation
2022-01-01 Suri, J. S.; Agarwal, S.; Saba, L.; Chabert, G. L.; Carriero, A.; Pasche, A.; Danna, P.; Mehmedovic, A.; Faa, G.; Jujaray, T.; Singh, I. M.; Khanna, N. N.; Laird, J. R.; Sfikakis, P. P.; Agarwal, V.; Teji, J. S.; Ryadav, R.; Nagy, F.; Kincses, Z. T.; Ruzsa, Z.; Viskovic, K.; Kalra, M. K.
| Titolo | Data di pubblicazione | Autore(i) | Rivista | Editore |
|---|---|---|---|---|
| Ensemble Deep Learning Derived from Transfer Learning for Classification of COVID-19 Patients on Hybrid Deep-Learning-Based Lung Segmentation: A Data Augmentation and Balancing Framework | 1-gen-2023 | Dubey, Arun Kumar; Chabert, Gian Luca; Carriero, Alessandro; Pasche, Alessio; Danna, Pietro S C; Agarwal, Sushant; Mohanty, Lopamudra; Nillmani, Null; Sharma, Neeraj; Yadav, Sarita; Jain, Achin; Kumar, Ashish; Kalra, Mannudeep K; Sobel, David W; Laird, John R; Singh, Inder M; Singh, Narpinder; Tsoulfas, George; Fouda, Mostafa M; Alizad, Azra; Kitas, George D; Khanna, Narendra N; Viskovic, Klaudija; Kukuljan, Melita; Al-Maini, Mustafa; El-Baz, Ayman; Saba, Luca; Suri, Jasjit S | DIAGNOSTICS | - |
| COVLIAS 1.0Lesion vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans | 1-gen-2022 | Suri, J. S.; Agarwal, S.; Chabert, G. L.; Carriero, A.; Pasche, A.; Danna, P. S. C.; Saba, L.; Mehmedovic, 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. P.; 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. | DIAGNOSTICS | - |
| COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography Scans | 1-gen-2022 | Suri, J. S.; Agarwal, S.; Chabert, G. L.; Carriero, A.; Pasche, A.; Danna, P. S. C.; Saba, L.; Mehmedovic, 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. P.; 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. | DIAGNOSTICS | - |
| Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0 | 1-gen-2022 | Agarwal, M.; Agarwal, S.; Saba, L.; Chabert, G. L.; Gupta, S.; Carriero, A.; Pasche, A.; Danna, P.; Mehmedovic, A.; Faa, G.; Shrivastava, S.; Jain, K.; Jain, H.; Jujaray, T.; Singh, I. M.; Turk, M.; Chadha, P. S.; Johri, A. M.; Khanna, N. N.; Mavrogeni, S.; Laird, J. R.; Sobel, D. W.; Miner, M.; Balestrieri, A.; Sfikakis, P. P.; Tsoulfas, G.; Misra, D. P.; 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.; Yadav, R. R.; Nagy, F.; Kincses, Z. T.; Ruzsa, Z.; Naidu, S.; Viskovic, K.; Kalra, M. K.; Suri, J. S. | COMPUTERS IN BIOLOGY AND MEDICINE | - |
| Multicenter Study on COVID-19 Lung Computed Tomography Segmentation with varying Glass Ground Opacities using Unseen Deep Learning Artificial Intelligence Paradigms: COVLIAS 1.0 Validation | 1-gen-2022 | Suri, J. S.; Agarwal, S.; Saba, L.; Chabert, G. L.; Carriero, A.; Pasche, A.; Danna, P.; Mehmedovic, A.; Faa, G.; Jujaray, T.; Singh, I. M.; Khanna, N. N.; Laird, J. R.; Sfikakis, P. P.; Agarwal, V.; Teji, J. S.; Ryadav, R.; Nagy, F.; Kincses, Z. T.; Ruzsa, Z.; Viskovic, K.; Kalra, M. K. | JOURNAL OF MEDICAL SYSTEMS | - |