Detalhe da pesquisa
1.
MIC-Net: A deep network for cross-site segmentation of COVID-19 infection in the fog-assisted IoMT.
Inf Sci (N Y)
; 623: 20-39, 2023 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-36532157
2.
Two-Stage Deep Learning Framework for Discrimination between COVID-19 and Community-Acquired Pneumonia from Chest CT scans.
Pattern Recognit Lett
; 152: 311-319, 2021 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-34728870
3.
RCTE: A reliable and consistent temporal-ensembling framework for semi-supervised segmentation of COVID-19 lesions.
Inf Sci (N Y)
; 578: 559-573, 2021 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-34305162
4.
FSS-2019-nCov: A deep learning architecture for semi-supervised few-shot segmentation of COVID-19 infection.
Knowl Based Syst
; 212: 106647, 2021 Jan 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-33519100
5.
MT-nCov-Net: A Multitask Deep-Learning Framework for Efficient Diagnosis of COVID-19 Using Tomography Scans.
IEEE Trans Cybern
; 53(2): 1285-1298, 2023 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-34748510
6.
DeepH-DTA: Deep Learning for Predicting Drug-Target Interactions: A Case Study of COVID-19 Drug Repurposing.
IEEE Access
; 8: 170433-170451, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-34786289