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.
Establishing key research questions for the implementation of artificial intelligence in colonoscopy: a modified Delphi method.
Endoscopy
; 53(9): 893-901, 2021 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-33167043
3.
Artificial intelligence in small bowel capsule endoscopy - current status, challenges and future promise.
J Gastroenterol Hepatol
; 36(1): 12-19, 2021 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-33448511
4.
A neural network algorithm for detection of GI angiectasia during small-bowel capsule endoscopy.
Gastrointest Endosc
; 89(1): 189-194, 2019 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-30017868
5.
Artificial Intelligence-assisted Analysis of Pan-enteric Capsule Endoscopy in Patients with Suspected Crohn's Disease: A Study on Diagnostic Performance.
J Crohns Colitis
; 18(1): 75-81, 2024 Jan 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-37527554
6.
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
7.
Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks.
IEEE Trans Image Process
; PP2023 Jan 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-37018555
8.
Brain organoid data synthesis and evaluation.
Front Neurosci
; 17: 1220172, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-37650105
9.
Mu-Net a Light Architecture for Small Dataset Segmentation of Brain Organoid Bright-Field Images.
Biomedicines
; 11(10)2023 Sep 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-37893062
10.
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
11.
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
12.
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
13.
Annotation Tools in Gastrointestinal Polyp Annotation.
Diagnostics (Basel)
; 12(10)2022 Sep 26.
Artigo
em Inglês
| MEDLINE | ID: mdl-36292013
14.
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
15.
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
16.
Key research questions for implementation of artificial intelligence in capsule endoscopy.
Therap Adv Gastroenterol
; 15: 17562848221132683, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-36338789
17.
Evaluation of Event-Based Corner Detectors.
J Imaging
; 7(2)2021 Feb 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-34460624
18.
Recent Trends and Perspectives in Cerebral Organoids Imaging and Analysis.
Front Neurosci
; 15: 629067, 2021.
Artigo
em Inglês
| MEDLINE | ID: mdl-34276279
19.
PEACE: Perception and Expectations toward Artificial Intelligence in Capsule Endoscopy.
J Clin Med
; 10(23)2021 Dec 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-34884410
20.
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