| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Accurate prediction of blood culture outcome in the intensive care unit using long short-term memory neural networks
|
Van Steenkiste, Tom
|
|
2019
|
97 |
C |
p. 38-43
|
artikel
|
| 2 |
A computer-aided diagnosis system for HEp-2 fluorescence intensity classification
|
Merone, Mario
|
|
2019
|
97 |
C |
p. 71-78
|
artikel
|
| 3 |
An efficient and fast computer-aided method for fully automated diagnosis of meniscal tears from magnetic resonance images
|
Saygılı, Ahmet
|
|
2019
|
97 |
C |
p. 118-130
|
artikel
|
| 4 |
A novel dynamical approach in continuous cuffless blood pressure estimation based on ECG and PPG signals
|
Sharifi, Iman
|
|
2019
|
97 |
C |
p. 143-151
|
artikel
|
| 5 |
A survey of neural network-based cancer prediction models from microarray data
|
Daoud, Maisa
|
|
2019
|
97 |
C |
p. 204-214
|
artikel
|
| 6 |
Combining clustering and classification ensembles: A novel pipeline to identify breast cancer profiles
|
Agrawal, Utkarsh
|
|
2019
|
97 |
C |
p. 27-37
|
artikel
|
| 7 |
Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification
|
Banerjee, Imon
|
|
2019
|
97 |
C |
p. 79-88
|
artikel
|
| 8 |
CT liver tumor segmentation hybrid approach using neutrosophic sets, fast fuzzy c-means and adaptive watershed algorithm
|
Anter, Ahmed M.
|
|
2019
|
97 |
C |
p. 105-117
|
artikel
|
| 9 |
Diabetic retinopathy techniques in retinal images: A review
|
Salamat, Nadeem
|
|
2019
|
97 |
C |
p. 168-188
|
artikel
|
| 10 |
Editorial Board
|
|
|
2019
|
97 |
C |
p. ii
|
artikel
|
| 11 |
Fuzzy logic based approaches for gene regulatory network inference
|
Raza, Khalid
|
|
2019
|
97 |
C |
p. 189-203
|
artikel
|
| 12 |
Incorporated region detection and classification using deep convolutional networks for bone age assessment
|
Bui, Toan Duc
|
|
2019
|
97 |
C |
p. 1-8
|
artikel
|
| 13 |
MRI denoising by NeighShrink based on chi-square unbiased risk estimation
|
Zhang, Chang-Jiang
|
|
2019
|
97 |
C |
p. 131-142
|
artikel
|
| 14 |
Neural network modelling of soft tissue deformation for surgical simulation
|
Zhang, Jinao
|
|
2019
|
97 |
C |
p. 61-70
|
artikel
|
| 15 |
Optimal testing policies for diagnosing patients with intermediary probability of disease
|
Arruda, Edilson F.
|
|
2019
|
97 |
C |
p. 89-97
|
artikel
|
| 16 |
Profiling continuous sleep representations for better understanding of the dynamic character of normal sleep
|
Rošťáková, Zuzana
|
|
2019
|
97 |
C |
p. 152-167
|
artikel
|
| 17 |
Recurrent neural networks with segment attention and entity description for relation extraction from clinical texts
|
Li, Zhi
|
|
2019
|
97 |
C |
p. 9-18
|
artikel
|
| 18 |
Recursive model identification for the analysis of the autonomic response to exercise testing in Brugada syndrome
|
Calvo, Mireia
|
|
2019
|
97 |
C |
p. 98-104
|
artikel
|
| 19 |
Segmentation of breast MR images using a generalised 2D mathematical model with inflation and deflation forces of active contours
|
Rampun, Andrik
|
|
2019
|
97 |
C |
p. 44-60
|
artikel
|
| 20 |
Texture descriptors and voxels for the early diagnosis of Alzheimer’s disease
|
Nanni, Loris
|
|
2019
|
97 |
C |
p. 19-26
|
artikel
|
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