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Sfoglia per AUTORE
RATHORE V
Collezione AOU Novara

Items : 4

COVLIAS 1.0(Lesion) vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans. in Diagnostics (Basel, Switzerland) / Diagnostics (Basel). 2022 May 21;12(5):1283. doi: 10.3390/diagnostics12051283.

2022
AOU Novara

Suri JS; Agarwal S; Chabert GL; Carriero A; Paschè A; Danna PSC; Saba L; Mehmedovi? A; Faa G; Singh IM; Turk M; Chadha PS; Johri AM; Khanna NN; Mavrogeni S; Laird JR; Pareek G; Miner M; Sobel DW; Balestrieri A; Sfikakis PP; Tsoulfas G; Protogerou AD; Misra DP; Agarwal V; Kitas GD; Teji JS; Al-Maini M; Dhanjil SK; et alii...

COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography Scans. in Diagnostics (Basel, Switzerland) / Diagnostics (Basel). 2022 Jun 16;12(6):1482. doi: 10.3390/diagnostics12061482.

2022
AOU Novara

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. in Computers in biology and medicine / Comput Biol Med. 2022 Jul;146:105571. doi: 10.1016/j.compbiomed.2022.105571. Epub 2022 May 21.

2022
AOU Novara

Agarwal M; Agarwal S; Saba L; Chabert GL; Gupta S; Carriero A; Pasche A; Danna P; Mehmedovic A; Faa G; Shrivastava S; Jain K; Jain H; Jujaray T; Singh IM; Turk M; Chadha PS; Johri AM; Khanna NN; Mavrogeni S; Laird JR; Sobel DW; Miner M; Balestrieri A; Sfikakis PP; Tsoulfas G; Misra DP; Agarwal V; Kitas GD; et alii...

COVLIAS 1.0 vs. MedSeg: Artificial Intelligence-Based Comparative Study for Automated COVID-19 Computed Tomography Lung Segmentation in Italian and Croatian Cohorts. in Diagnostics (Basel, Switzerland) / Diagnostics (Basel). 2021 Dec 15;11(12):2367. doi: 10.3390/diagnostics11122367.

2021
AOU Novara

Suri JS; Agarwal S; Carriero A; Paschè A; Danna PSC; Columbu M; Saba L; Viskovic K; Mehmedovi? A; Agarwal S; Gupta L; Faa G; Singh IM; Turk M; Chadha PS; Johri AM; Khanna NN; Mavrogeni S; Laird JR; Pareek G; Miner M; Sobel DW; Balestrieri A; Sfikakis PP; Tsoulfas G; Protogerou A; Misra DP; Agarwal V; Kitas GD; et alii...