Detalhe da pesquisa
1.
Ecological and health risk assessment of exposure to atmospheric heavy metals.
Ecotoxicol Environ Saf
; 184: 109622, 2019 Nov 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-31499446
2.
Active deep learning from a noisy teacher for semi-supervised 3D image segmentation: Application to COVID-19 pneumonia infection in CT.
Comput Med Imaging Graph
; 102: 102127, 2022 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-36257092
3.
Learning-to-augment incorporated noise-robust deep CNN for detection of COVID-19 in noisy X-ray images.
J Comput Sci
; 63: 101763, 2022 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-35818367
4.
Greedy Autoaugment for classification of mycobacterium tuberculosis image via generalized deep CNN using mixed pooling based on minimum square rough entropy.
Comput Biol Med
; 141: 105175, 2022 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-34971977
5.
Learning-to-augment strategy using noisy and denoised data: Improving generalizability of deep CNN for the detection of COVID-19 in X-ray images.
Comput Biol Med
; 136: 104704, 2021 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-34352454
6.
Seroepidemiology of Toxocara canis in Children under 14 Years Referring to Laboratories of Sistan and Baluchestan Province in Southeast of Iran.
Iran J Parasitol
; 14(1): 89-94, 2019.
Artigo
em Inglês
| MEDLINE | ID: mdl-31123472