Detalhe da pesquisa
1.
An Analysis of Loss Functions for Heavily Imbalanced Lesion Segmentation.
Sensors (Basel)
; 24(6)2024 Mar 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-38544244
2.
Analysis of UAV-Acquired Wetland Orthomosaics Using GIS, Computer Vision, Computational Topology and Deep Learning.
Sensors (Basel)
; 21(2)2021 Jan 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-33440797
3.
Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach.
Neuroimage
; 155: 159-168, 2017 07 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-28435096
4.
Comparison of 10 brain tissue segmentation methods using revisited IBSR annotations.
J Magn Reson Imaging
; 41(1): 93-101, 2015 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-24459099
5.
A toolbox for multiple sclerosis lesion segmentation.
Neuroradiology
; 57(10): 1031-43, 2015 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-26227167
6.
Improving multiple sclerosis lesion segmentation across clinical sites: A federated learning approach with noise-resilient training.
Artif Intell Med
; 152: 102872, 2024 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-38701636
7.
Learning from pseudo-labels: deep networks improve consistency in longitudinal brain volume estimation.
Front Neurosci
; 17: 1196087, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-37483345
8.
High angular diffusion tensor imaging estimation from minimal evenly distributed diffusion gradient directions.
Front Radiol
; 3: 1238566, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-37766937
9.
Deep learning distinguishes connectomes from focal epilepsy patients and controls: feasibility and clinical implications.
Brain Commun
; 5(6): fcad294, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-38025275
10.
Multiple sclerosis lesion segmentation: revisiting weighting mechanisms for federated learning.
Front Neurosci
; 17: 1167612, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-37274196
11.
A real-world clinical validation for AI-based MRI monitoring in multiple sclerosis.
NPJ Digit Med
; 6(1): 196, 2023 Oct 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-37857813
12.
Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies.
Neuroimage Clin
; 39: 103483, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-37572514
13.
Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications.
IEEE J Biomed Health Inform
; 26(6): 2680-2692, 2022 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-35171783
14.
Generating Longitudinal Atrophy Evaluation Datasets on Brain Magnetic Resonance Images Using Convolutional Neural Networks and Segmentation Priors.
Neuroinformatics
; 19(3): 477-492, 2021 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-33389607
15.
Improving the detection of autism spectrum disorder by combining structural and functional MRI information.
Neuroimage Clin
; 25: 102181, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-31982680
16.
A fully convolutional neural network for new T2-w lesion detection in multiple sclerosis.
Neuroimage Clin
; 25: 102149, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-31918065
17.
Supervised Domain Adaptation for Automatic Sub-cortical Brain Structure Segmentation with Minimal User Interaction.
Sci Rep
; 9(1): 6742, 2019 05 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-31043688
18.
One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks.
Neuroimage Clin
; 21: 101638, 2019.
Artigo
em Inglês
| MEDLINE | ID: mdl-30555005
19.
A supervised framework with intensity subtraction and deformation field features for the detection of new T2-w lesions in multiple sclerosis.
Neuroimage Clin
; 17: 607-615, 2018.
Artigo
em Inglês
| MEDLINE | ID: mdl-29234597
20.
Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features.
Med Image Anal
; 48: 177-186, 2018 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-29935442