| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Age-related gait adaptations of ground reaction forces
|
Baptista, Rafael Reimann
|
|
|
39 |
4 |
p. 915-924
|
artikel
|
| 2 |
Analysis of electric field strengths and focality for healthy and neurologically impaired subjects upon multiple tDCS stimulation protocols
|
Pancholi, Utkarsh
|
|
|
39 |
4 |
p. 991-1006
|
artikel
|
| 3 |
Analysis of the effect of handrail and foot position on STS in healthy young adults with knee support
|
Yang, Shuo
|
|
|
39 |
4 |
p. 853-862
|
artikel
|
| 4 |
BG-58S macrospheres produced using BG powder synthesized by alkali-mediated sol–gel process and different phosphorus precursor
|
Grancianinov, Karen
|
|
|
39 |
4 |
p. 877-894
|
artikel
|
| 5 |
Breast cancer diagnosis using modified Xception and stacked generalization ensemble classifier
|
Deb, Sagar Deep
|
|
|
39 |
4 |
p. 937-947
|
artikel
|
| 6 |
Correction to: Age‑related gait adaptations of ground reaction forces
|
Baptista, Rafael Reimann
|
|
|
39 |
4 |
p. 1035
|
artikel
|
| 7 |
Correction to: Deep convolutional spiking neural network fostered automatic detection and classification of breast cancer from mammography images
|
Prakash, T. Senthil
|
|
|
39 |
4 |
p. 1033
|
artikel
|
| 8 |
3D anatomical modelling and analysis of the spine
|
Paccini, Martina
|
|
|
39 |
4 |
p. 789-803
|
artikel
|
| 9 |
Deep convolutional spiking neural network fostered automatic detection and classification of breast cancer from mammography images
|
Senthil Prakash, T.
|
|
|
39 |
4 |
p. 833-841
|
artikel
|
| 10 |
Design and implementation of a medical platform for real-time and remote ECG monitoring using DigiMesh wireless sensor network technology
|
Sahraoui, Halima
|
|
|
39 |
4 |
p. 959-976
|
artikel
|
| 11 |
Generation of Induced Wavefront Focalization in the Human Temporal Bone Using a Standard Focused Ultrasound Single-Element Transducer
|
Andrade, Patrícia C.
|
|
|
39 |
4 |
p. 895-904
|
artikel
|
| 12 |
Inter-dataset performance analysis of generative adversarial networks for optic disc segmentation using digital fundus images
|
Sharma, Ambika
|
|
|
39 |
4 |
p. 863-875
|
artikel
|
| 13 |
Machine learning for glaucoma detection using fundus images
|
Elmoufidi, Abdelali
|
|
|
39 |
4 |
p. 819-831
|
artikel
|
| 14 |
Molecular imaging analysis in cancer using deep learning: a review
|
Prusty, Sheetal
|
|
|
39 |
4 |
p. 1015-1032
|
artikel
|
| 15 |
New method of using a convolutional neural network for 2D intraprostatic tumor segmentation from PET images
|
Rainio, Oona
|
|
|
39 |
4 |
p. 905-913
|
artikel
|
| 16 |
Predicting the tasks of disabled persons using deep learning-based motor imagery model in BCI applications
|
Nayak, Pinki
|
|
|
39 |
4 |
p. 977-989
|
artikel
|
| 17 |
SARS-COV-2 (COVID-19) detection application via machine learning: comparative analysis and performance evaluation
|
Hameed, Jehangir
|
|
|
39 |
4 |
p. 925-935
|
artikel
|
| 18 |
Segmentation-based Registration of Pre and Intra-operative Brain Ultrasound Images Using Particle Swarm Optimization
|
Chel, Haradhan
|
|
|
39 |
4 |
p. 805-818
|
artikel
|
| 19 |
Semi-automated methodology for determination of contrast agent relaxivity using MRI
|
Reyes Molina, Israel
|
|
|
39 |
4 |
p. 843-851
|
artikel
|
| 20 |
Towards innovative electrodiagnosis tests to investigate neuromuscular excitability dysfunction in critically ill patients: an agreement study
|
Silva, Paulo Eugênio
|
|
|
39 |
4 |
p. 949-958
|
artikel
|
| 21 |
Tremor stabilization improvement using anti-tremor band: a machine learning–based technique
|
Biswas, Asmita
|
|
|
39 |
4 |
p. 1007-1014
|
artikel
|
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