| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A correlation matrix-based tensor decomposition method for early prediction of sepsis from clinical data
|
Nesaragi, Naimahmed
|
|
|
41 |
3 |
p. 1013-1024
|
artikel
|
| 2 |
An automated skin melanoma detection system with melanoma-index based on entropy features
|
Cheong, Kang Hao
|
|
|
41 |
3 |
p. 997-1012
|
artikel
|
| 3 |
An improved MAMA-EMD for the automatic removal of EOG artifacts
|
Li, Mingai
|
|
|
41 |
3 |
p. 1182-1196
|
artikel
|
| 4 |
Automatic Detection of Coronavirus Disease (COVID-19) in X-ray and CT Images: A Machine Learning Based Approach
|
Kassania, Sara Hosseinzadeh
|
|
|
41 |
3 |
p. 867-879
|
artikel
|
| 5 |
Blood glucose prediction with deep neural networks using weighted decision level fusion
|
Dudukcu, Hatice Vildan
|
|
|
41 |
3 |
p. 1208-1223
|
artikel
|
| 6 |
Cancer gene recognition from microarray data with manta ray based enhanced ANFIS technique
|
Mishra, Purnendu
|
|
|
41 |
3 |
p. 916-932
|
artikel
|
| 7 |
Characterization of muscle fatigue in the lower limb by sEMG and angular position using the WFD protocol
|
Chaparro-Cárdenas, Silvia L.
|
|
|
41 |
3 |
p. 933-943
|
artikel
|
| 8 |
Commentary: Automated detection of preterm condition using uterine electromyography based topological features
|
Vandewiele, Gilles
|
|
|
41 |
3 |
p. 944-945
|
artikel
|
| 9 |
DeepBreastNet: A novel and robust approach for automated breast cancer detection from histopathological images
|
Demir, Fatih
|
|
|
41 |
3 |
p. 1123-1139
|
artikel
|
| 10 |
Devignetting fundus images via Bayesian estimation of illumination component and gamma correction
|
James, Shine P.
|
|
|
41 |
3 |
p. 1071-1092
|
artikel
|
| 11 |
Feature assisted cervical cancer screening through DIC cell images
|
Adhikary, Shreya
|
|
|
41 |
3 |
p. 1162-1181
|
artikel
|
| 12 |
FractalCovNet architecture for COVID-19 Chest X-ray image Classification and CT-scan image Segmentation
|
Munusamy, Hemalatha
|
|
|
41 |
3 |
p. 1025-1038
|
artikel
|
| 13 |
Impact of noise on the performance of automatic systems for vocal fold lesions detection
|
Madruga, Mario
|
|
|
41 |
3 |
p. 1039-1056
|
artikel
|
| 14 |
Learning-based local quality assessment of reflectance confocal microscopy images for dermatology applications
|
Sikorska, Miroslawa
|
|
|
41 |
3 |
p. 880-890
|
artikel
|
| 15 |
Machine learning prediction of future peripheral neuropathy in type 2 diabetics with percussion entropy and body mass indices
|
Xiao, Ming-Xia
|
|
|
41 |
3 |
p. 1140-1149
|
artikel
|
| 16 |
Mobile applications and eating habits among women and men – Polish experiences
|
Syrkiewicz-Świtała, Magdalena
|
|
|
41 |
3 |
p. 1093-1106
|
artikel
|
| 17 |
Modeling acid-base transport in hemodialyzers
|
Pietribiasi, Mauro
|
|
|
41 |
3 |
p. 1150-1161
|
artikel
|
| 18 |
Multiphysics coupling study on the effect of blood flow pulsation in patients with pulsatile tinnitus
|
Mu, Zhenxia
|
|
|
41 |
3 |
p. 1197-1207
|
artikel
|
| 19 |
Non-contact breathing monitoring by integrating RGB and thermal imaging via RGB-thermal image registration
|
Maurya, Lalit
|
|
|
41 |
3 |
p. 1107-1122
|
artikel
|
| 20 |
Ocular artifact elimination from electroencephalography signals: A systematic review
|
Ranjan, Rakesh
|
|
|
41 |
3 |
p. 960-996
|
artikel
|
| 21 |
Prediction of drug response in major depressive disorder using ensemble of transfer learning with convolutional neural network based on EEG
|
Sadat Shahabi, Mohsen
|
|
|
41 |
3 |
p. 946-959
|
artikel
|
| 22 |
Pupillometry via smartphone for low-resource settings
|
Piaggio, Davide
|
|
|
41 |
3 |
p. 891-902
|
artikel
|
| 23 |
Review on the numerical investigations of mass transfer from drug eluting stent
|
Song, Jianfei
|
|
|
41 |
3 |
p. 1057-1070
|
artikel
|
| 24 |
Segmentation of anterior segment boundaries in swept source OCT images
|
Garcia Marin, Yoel
|
|
|
41 |
3 |
p. 903-915
|
artikel
|
| 25 |
Segmentation of pectoral muscle from digital mammograms with depth-first search algorithm towards breast density classification
|
Pawar, Shivaji D.
|
|
|
41 |
3 |
p. 1224-1241
|
artikel
|
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