| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
An automated unsupervised deep learning–based approach for diabetic retinopathy detection
|
Naz, Huma
|
|
|
60 |
12 |
p. 3635-3654
|
artikel
|
| 2 |
Aneurysm geometric features effect on the hemodynamic characteristics of blood flow in coronary artery: CFD simulation on CT angiography-based model
|
Rafiei, Ashkan
|
|
|
60 |
12 |
p. 3357-3375
|
artikel
|
| 3 |
Artifacts classification and apnea events detection in neck photoplethysmography signals
|
García-López, Irene
|
|
|
60 |
12 |
p. 3539-3554
|
artikel
|
| 4 |
A solution for co-frequency and low SNR problems in heart rate estimation based on photoplethysmography signals
|
Zhao, Jiaqi
|
|
|
60 |
12 |
p. 3419-3433
|
artikel
|
| 5 |
Correction to: Integrated Bayesian and association‑rules methods for autonomously orienting COVID‑19 patients
|
Thaljaoui, Adel
|
|
|
60 |
12 |
p. 3497
|
artikel
|
| 6 |
Dental arch definition in computed tomographs using two semi-automatic methods
|
Oliveira, Larissa Aparecida Vaz
|
|
|
60 |
12 |
p. 3499-3508
|
artikel
|
| 7 |
Diagnosing growing pains in children by using machine learning: a cross-sectional multicenter study
|
Akal, Fuat
|
|
|
60 |
12 |
p. 3601-3614
|
artikel
|
| 8 |
Enhancing the feasibility of cognitive load recognition in remote learning using physiological measures and an adaptive feature recalibration convolutional neural network
|
Wu, Chennan
|
|
|
60 |
12 |
p. 3447-3460
|
artikel
|
| 9 |
EWT-IIT: a surface electromyography denoising method
|
Xiao, Feiyun
|
|
|
60 |
12 |
p. 3509-3523
|
artikel
|
| 10 |
Facilitation of dependent transfers with functional neuromuscular stimulation: a computer simulation study
|
Bean, Nicholas F.
|
|
|
60 |
12 |
p. 3435-3445
|
artikel
|
| 11 |
Good view frames from ultrasonography (USG) video containing ONS diameter using state-of-the-art deep learning architectures
|
Singh, Maninder
|
|
|
60 |
12 |
p. 3397-3417
|
artikel
|
| 12 |
Impact of repetitive transcranial magnetic stimulation on the directed connectivity of autism EEG signals: a pilot study
|
Kang, Jiannan
|
|
|
60 |
12 |
p. 3655-3664
|
artikel
|
| 13 |
Integrated Bayesian and association-rules methods for autonomously orienting COVID-19 patients
|
Thaljaoui, Adel
|
|
|
60 |
12 |
p. 3475-3496
|
artikel
|
| 14 |
Local thermal effect of power-on setting on monopolar coagulation: a three-dimensional electrothermal coupled finite element study
|
Chen, Yung-Chuan
|
|
|
60 |
12 |
p. 3525-3538
|
artikel
|
| 15 |
MLRD-Net: 3D multiscale local cross-channel residual denoising network for MRI-based brain tumor segmentation
|
Chen, Xue
|
|
|
60 |
12 |
p. 3377-3395
|
artikel
|
| 16 |
MsRAN: a multi-scale residual attention network for multi-model image fusion
|
Wang, Jing
|
|
|
60 |
12 |
p. 3615-3634
|
artikel
|
| 17 |
Nanotechnology and quantum science enabled advances in neurological medical applications: diagnostics and treatments
|
Batool, Sadia
|
|
|
60 |
12 |
p. 3341-3356
|
artikel
|
| 18 |
Neural-Symbolic Ensemble Learning for early-stage prediction of critical state of Covid-19 patients
|
Fadja, Arnaud Nguembang
|
|
|
60 |
12 |
p. 3461-3474
|
artikel
|
| 19 |
SFOD-Trans: semi-supervised fine-grained object detection framework with transformer module
|
Liu, Quankai
|
|
|
60 |
12 |
p. 3555-3566
|
artikel
|
| 20 |
SNOAR: a new regression approach for the removal of ocular artifact from multi-channel electroencephalogram signals
|
Juyal, Ruchi
|
|
|
60 |
12 |
p. 3567-3583
|
artikel
|
| 21 |
Theoretical analysis for the fluctuation in the electric parameters of the electroporated cells before and during the electrofusion
|
Sherif, Sameh
|
|
|
60 |
12 |
p. 3585-3600
|
artikel
|
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