| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A computational model of ureteral peristalsis and an investigation into ureteral reflux
|
Hosseini, G.
|
|
2017
|
8 |
1 |
p. 117-125
|
artikel
|
| 2 |
Automatic heart activity diagnosis based on Gram polynomials and probabilistic neural networks
|
Beritelli, Francesco
|
|
2017
|
8 |
1 |
p. 77-85
|
artikel
|
| 3 |
Computer-assisted brain tumor type discrimination using magnetic resonance imaging features
|
Iqbal, Sajid
|
|
2017
|
8 |
1 |
p. 5-28
|
artikel
|
| 4 |
Deep-learning-based automatic computer-aided diagnosis system for diabetic retinopathy
|
Mansour, Romany F.
|
|
2017
|
8 |
1 |
p. 41-57
|
artikel
|
| 5 |
Elastography for portable ultrasound
|
Shin, Bonghun
|
|
2017
|
8 |
1 |
p. 101-116
|
artikel
|
| 6 |
First demonstration of velocity selective recording from the pig vagus using a nerve cuff shows respiration afferents
|
Metcalfe, B. W.
|
|
2017
|
8 |
1 |
p. 127-136
|
artikel
|
| 7 |
Gastrointestinal polyp detection in endoscopic images using an improved feature extraction method
|
Billah, Mustain
|
|
2017
|
8 |
1 |
p. 69-75
|
artikel
|
| 8 |
Machine learning in biomedical engineering
|
Park, Cheolsoo
|
|
2018
|
8 |
1 |
p. 1-3
|
artikel
|
| 9 |
Multiscale self-quotient filtering for an improved unsupervised retinal blood vessels characterisation
|
Relan, D.
|
|
2017
|
8 |
1 |
p. 59-68
|
artikel
|
| 10 |
Obstructive sleep apnoea detection using convolutional neural network based deep learning framework
|
Dey, Debangshu
|
|
2017
|
8 |
1 |
p. 95-100
|
artikel
|
| 11 |
Performance of machine learning methods in diagnosing Parkinson’s disease based on dysphonia measures
|
Lahmiri, Salim
|
|
2017
|
8 |
1 |
p. 29-39
|
artikel
|
| 12 |
The research of sleep staging based on single-lead electrocardiogram and deep neural network
|
Wei, Ran
|
|
2017
|
8 |
1 |
p. 87-93
|
artikel
|
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