| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A centralized multi-objective model predictive control for a biventricular assist device: An in silico evaluation
|
Koh, V.C.A.
|
|
2019
|
49 |
C |
p. 137-148
|
artikel
|
| 2 |
A customized nonlocal restoration schemes with adaptive strength of smoothening for magnetic resonance images
|
PG, Kuppusamy
|
|
2019
|
49 |
C |
p. 160-172
|
artikel
|
| 3 |
Advanced methodology for multiple sclerosis lesion exploring: Towards a computer aided diagnosis system
|
Ghribi, Olfa
|
|
2019
|
49 |
C |
p. 274-288
|
artikel
|
| 4 |
A nonovershooting tracking controller for simultaneous infusion of anesthetics and analgesics
|
Padmanabhan, Regina
|
|
2019
|
49 |
C |
p. 375-387
|
artikel
|
| 5 |
An optimally designed digital differentiator based preprocessor for R-peak detection in electrocardiogram signal
|
Nayak, Chandan
|
|
2019
|
49 |
C |
p. 440-464
|
artikel
|
| 6 |
A novel color space of fundus images for automatic exudates detection
|
Khojasteh, Parham
|
|
2019
|
49 |
C |
p. 240-249
|
artikel
|
| 7 |
An upper limb movement estimation from electromyography by using BP neural network
|
Lei, Zhang
|
|
2019
|
49 |
C |
p. 434-439
|
artikel
|
| 8 |
A robust non-local total-variation based image registration method under illumination changes in medical applications
|
Aghajani, Khadijeh
|
|
2019
|
49 |
C |
p. 96-112
|
artikel
|
| 9 |
Automated fetal heart rate analysis for baseline determination and acceleration/deceleration detection: A comparison of 11 methods versus expert consensus
|
Houzé de l’Aulnoit, Agathe
|
|
2019
|
49 |
C |
p. 113-123
|
artikel
|
| 10 |
Automated quantification of immunomagnetic beads and leukemia cells from optical microscope images
|
Uslu, Fatma
|
|
2019
|
49 |
C |
p. 473-482
|
artikel
|
| 11 |
Bootstrap clustering approaches for organization of data: Application in improving grade separability in cervical neoplasia
|
Vourlaki, Ioanna
|
|
2019
|
49 |
C |
p. 263-273
|
artikel
|
| 12 |
Comparison of different functional connectives based on EEG during concealed information test
|
Chang, Wenwen
|
|
2019
|
49 |
C |
p. 149-159
|
artikel
|
| 13 |
Correlation analysis of EEG alpha rhythm is related to golf putting performance
|
Ji, L.
|
|
2019
|
49 |
C |
p. 124-136
|
artikel
|
| 14 |
Cuff-less continuous measurement of blood pressure using wrist and fingertip photo-plethysmograms: Evaluation and feature analysis
|
Attarpour, Ahmadreza
|
|
2019
|
49 |
C |
p. 212-220
|
artikel
|
| 15 |
Depolarization spatial variance as a cardiac dyssynchrony descriptor
|
Bonomini, María P.
|
|
2019
|
49 |
C |
p. 540-545
|
artikel
|
| 16 |
Detection of Parkinson’s disease based on voice patterns ranking and optimized support vector machine
|
Lahmiri, Salim
|
|
2019
|
49 |
C |
p. 427-433
|
artikel
|
| 17 |
Editorial Board
|
|
|
2019
|
49 |
C |
p. ii
|
artikel
|
| 18 |
EEG-based functional connectivity to analyze motor recovery after stroke: A pilot study
|
Eldeeb, Safaa
|
|
2019
|
49 |
C |
p. 419-426
|
artikel
|
| 19 |
EEG-based seizure detection in patients with intellectual disability: Which EEG and clinical factors are important?
|
Wang, Lei
|
|
2019
|
49 |
C |
p. 404-418
|
artikel
|
| 20 |
Effect of photic stimulation for migraine detection using random forest and discrete wavelet transform
|
Subasi, Abdulhamit
|
|
2019
|
49 |
C |
p. 231-239
|
artikel
|
| 21 |
Estimation of heartbeat rate from speech recording with hybrid feature vector (HFV)
|
Ankışhan, Haydar
|
|
2019
|
49 |
C |
p. 483-492
|
artikel
|
| 22 |
Evaluation of fractional Brownian motion synthesis methods using the SVM classifier
|
Tafraouti, Abdessamad
|
|
2019
|
49 |
C |
p. 48-56
|
artikel
|
| 23 |
FPGA-based real-time compressed sensing of multichannel EEG signals for wireless body area networks
|
Liu, Dan
|
|
2019
|
49 |
C |
p. 221-230
|
artikel
|
| 24 |
Heart rate estimation using remote photoplethysmography with multi-objective optimization
|
Macwan, Richard
|
|
2019
|
49 |
C |
p. 24-33
|
artikel
|
| 25 |
Improving sleep/wake classification with recurrence quantification analysis features
|
Rolink, Jérôme
|
|
2019
|
49 |
C |
p. 78-86
|
artikel
|
| 26 |
Investigation and comparison of ECG signal sparsity and features variations due to pre-processing steps
|
Khorasani, S. Monem
|
|
2019
|
49 |
C |
p. 87-95
|
artikel
|
| 27 |
Kinematic model for simulating mucosal wave phenomena on vocal folds
|
Kumar, S. Pravin
|
|
2019
|
49 |
C |
p. 328-337
|
artikel
|
| 28 |
Laser doppler vibrometer validation of an optical flow motion tracking algorithm
|
Ismail, Hina M.
|
|
2019
|
49 |
C |
p. 322-327
|
artikel
|
| 29 |
Localization and classification of heartbeats using robust adaptive algorithm
|
Malik, Shahid Ismail
|
|
2019
|
49 |
C |
p. 57-77
|
artikel
|
| 30 |
Look-behind fully convolutional neural network for computer-aided endoscopy
|
Diamantis, Dimitrios E.
|
|
2019
|
49 |
C |
p. 192-201
|
artikel
|
| 31 |
Machine learning assessment of visually induced motion sickness levels based on multiple biosignals
|
Li, Yan
|
|
2019
|
49 |
C |
p. 202-211
|
artikel
|
| 32 |
Multi-focus image fusion for bacilli images in conventional sputum smear microscopy for tuberculosis
|
Costa, M.G.F.
|
|
2019
|
49 |
C |
p. 289-297
|
artikel
|
| 33 |
Multi-modality of polysomnography signals’ fusion for automatic sleep scoring
|
Yan, Rui
|
|
2019
|
49 |
C |
p. 14-23
|
artikel
|
| 34 |
Multiple sclerosis lesion enhancement and white matter region estimation using hyperintensities in FLAIR images
|
Freire, Paulo G.L.
|
|
2019
|
49 |
C |
p. 338-348
|
artikel
|
| 35 |
Neurofeedback training protocols based on selecting distinctive features and identifying appropriate channels to enhance performance in novice visual artists
|
Sho'ouri, Nasrin
|
|
2019
|
49 |
C |
p. 308-321
|
artikel
|
| 36 |
Nonlinear composite adaptive control of cancer chemotherapy with online identification of uncertain parameters
|
Sharifi, Mojtaba
|
|
2019
|
49 |
C |
p. 360-374
|
artikel
|
| 37 |
Parcellation of functional sub-regions from fMRI: A graph clustering based approach
|
Haq, Nandinee Fariah
|
|
2019
|
49 |
C |
p. 181-191
|
artikel
|
| 38 |
Psychological stress detection using phonocardiography signal: An empirical mode decomposition approach
|
Cheema, Amandeep
|
|
2019
|
49 |
C |
p. 493-505
|
artikel
|
| 39 |
Restoring prolonged standing via functional electrical stimulation after spinal cord injury: A systematic review of control strategies
|
Ibitoye, Morufu Olusola
|
|
2019
|
49 |
C |
p. 34-47
|
artikel
|
| 40 |
Rician noise and intensity nonuniformity correction (NNC) model for MRI data
|
Liu, Lu
|
|
2019
|
49 |
C |
p. 506-519
|
artikel
|
| 41 |
Robust S1 and S2 heart sound recognition based on spectral restoration and multi-style training
|
Tsao, Yu
|
|
2019
|
49 |
C |
p. 173-180
|
artikel
|
| 42 |
Separated channel convolutional neural network to realize the training free motor imagery BCI systems
|
Zhu, Xuyang
|
|
2019
|
49 |
C |
p. 396-403
|
artikel
|
| 43 |
Simulation of microwave propagation properties in human abdominal tissues on wireless capsule endoscopy by FDTD
|
Hao, Jiong-Ju
|
|
2019
|
49 |
C |
p. 388-395
|
artikel
|
| 44 |
Study of lumbar spine activity regularity based on Kanade-Lucas-Tomasi algorithm
|
Wang, Lu
|
|
2019
|
49 |
C |
p. 465-472
|
artikel
|
| 45 |
The dynamics of vocal onset
|
Lebacq, J.
|
|
2019
|
49 |
C |
p. 528-539
|
artikel
|
| 46 |
The Respiratory Fluctuation Index: A global metric of nasal airflow or thoracoabdominal wall movement time series to diagnose obstructive sleep apnea
|
Wang, Fu-Tai
|
|
2019
|
49 |
C |
p. 250-262
|
artikel
|
| 47 |
Two-dimensional surface EMG: The effects of electrode size, interelectrode distance and image truncation
|
Afsharipour, B.
|
|
2019
|
49 |
C |
p. 298-307
|
artikel
|
| 48 |
Variational approach to cancerous tissue identification from in vivo Raman spectra
|
Krbcova, Zuzana
|
|
2019
|
49 |
C |
p. 520-527
|
artikel
|
| 49 |
VFPred: A fusion of signal processing and machine learning techniques in detecting ventricular fibrillation from ECG signals
|
Ibtehaz, Nabil
|
|
2019
|
49 |
C |
p. 349-359
|
artikel
|
| 50 |
WNC-ECGlet: Weighted non-convex minimization based reconstruction of compressively transmitted ECG using ECGlet
|
Ansari, Naushad
|
|
2019
|
49 |
C |
p. 1-13
|
artikel
|
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