Detalhe da pesquisa
1.
A neural network-based algorithm for assessing the cleanliness of small bowel during capsule endoscopy.
Endoscopy
; 53(9): 932-936, 2021 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-33137834
2.
An annotated wing interferential pattern dataset of dipteran insects of medical interest for deep learning.
Sci Data
; 11(1): 4, 2024 Jan 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-38168517
3.
Species identification of phlebotomine sandflies using deep learning and wing interferential pattern (WIP).
Sci Rep
; 13(1): 21389, 2023 12 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-38049590
4.
Wing Interferential Patterns (WIPs) and machine learning for the classification of some Aedes species of medical interest.
Sci Rep
; 13(1): 17628, 2023 10 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-37848666
5.
Deep learning and wing interferential patterns identify Anopheles species and discriminate amongst Gambiae complex species.
Sci Rep
; 13(1): 13895, 2023 08 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-37626130
6.
Evaluation by a Machine Learning System of Two Preparations for Small Bowel Capsule Endoscopy: The BUBS (Burst Unpleasant Bubbles with Simethicone) Study.
J Clin Med
; 11(10)2022 May 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-35628947
7.
Wing Interferential Patterns (WIPs) and machine learning, a step toward automatized tsetse (Glossina spp.) identification.
Sci Rep
; 12(1): 20086, 2022 11 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-36418429
8.
A multisystem-compatible deep learning-based algorithm for detection and characterization of angiectasias in small-bowel capsule endoscopy. A proof-of-concept study.
Dig Liver Dis
; 53(12): 1627-1631, 2021 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-34563469