| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A deep cascade of ensemble of dual domain networks with gradient-based T1 assistance and perceptual refinement for fast MRI reconstruction
|
Murugesan, Balamurali
|
|
|
91 |
C |
p.
|
artikel
|
| 2 |
Assessing the speed-accuracy trade-offs of popular convolutional neural networks for single-crop rib fracture classification
|
Castro-Zunti, Riel
|
|
|
91 |
C |
p.
|
artikel
|
| 3 |
Automatic left ventricular cavity segmentation via deep spatial sequential network in 4D computed tomography
|
Guo, Yuyu
|
|
|
91 |
C |
p.
|
artikel
|
| 4 |
CT synthesis from MRI using multi-cycle GAN for head-and-neck radiation therapy
|
Liu, Yanxia
|
|
|
91 |
C |
p.
|
artikel
|
| 5 |
Deformable adversarial registration network with multiple loss constraints
|
Luo, Yi
|
|
|
91 |
C |
p.
|
artikel
|
| 6 |
Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic
|
Alhasan, Mustafa
|
|
|
91 |
C |
p.
|
artikel
|
| 7 |
Dual energy CT image prediction on primary tumor of lung cancer for nodal metastasis using deep learning
|
Wang, You-Wei
|
|
|
91 |
C |
p.
|
artikel
|
| 8 |
Editorial Board
|
|
|
|
91 |
C |
p.
|
artikel
|
| 9 |
Geometric deep learning on brain shape predicts sex and age
|
Besson, Pierre
|
|
|
91 |
C |
p.
|
artikel
|
| 10 |
Glioblastoma multiforme prognosis: MRI missing modality generation, segmentation and radiogenomic survival prediction
|
Islam, Mobarakol
|
|
|
91 |
C |
p.
|
artikel
|
| 11 |
Grey wolf assisted dragonfly-based weighted rule generation for predicting heart disease and breast cancer
|
Moturi, Sireesha
|
|
|
91 |
C |
p.
|
artikel
|
| 12 |
Improved real-time segmentation of Intravascular Ultrasound images using coordinate-aware fully convolutional networks
|
Szarski, Martin
|
|
|
91 |
C |
p.
|
artikel
|
| 13 |
Iterative confidence relabeling with deep ConvNets for organ segmentation with partial labels
|
Petit, Olivier
|
|
|
91 |
C |
p.
|
artikel
|
| 14 |
Prediction of the motion of chest internal points using a recurrent neural network trained with real-time recurrent learning for latency compensation in lung cancer radiotherapy
|
Pohl, Michel
|
|
|
91 |
C |
p.
|
artikel
|
| 15 |
Removal notice to “VitSeg: Weakly supervised vitiligo segmentation in skin image” [Comput. Med. Imag. Graph. 85 (2020) 101779]
|
Bian, Zhangxing
|
|
|
91 |
C |
p.
|
artikel
|
| 16 |
Role of deep learning in brain tumor detection and classification (2015 to 2020): A review
|
Nazir, Maria
|
|
|
91 |
C |
p.
|
artikel
|
| 17 |
What is the state of the art of computer vision-assisted cytology? A Systematic Literature Review
|
Victória Matias, André
|
|
|
91 |
C |
p.
|
artikel
|
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