| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A computational method for longitudinal mapping of orientation-specific expansion of cortical surface in infants
|
Xia, Jing
|
|
2018
|
49 |
C |
p. 46-59
|
artikel
|
| 2 |
Automated multi-atlas segmentation of cardiac 4D flow MRI
|
Bustamante, Mariana
|
|
2018
|
49 |
C |
p. 128-140
|
artikel
|
| 3 |
Building medical image classifiers with very limited data using segmentation networks
|
Wong, Ken C.L.
|
|
2018
|
49 |
C |
p. 105-116
|
artikel
|
| 4 |
Deep convolutional neural network-based segmentation and classification of difficult to define metastatic spinal lesions in 3D CT data
|
Chmelik, Jiri
|
|
2018
|
49 |
C |
p. 76-88
|
artikel
|
| 5 |
Editorial Board
|
|
|
2018
|
49 |
C |
p. ii
|
artikel
|
| 6 |
Fast iteratively reweighted least squares algorithms for analysis-based sparse reconstruction
|
Chen, Chen
|
|
2018
|
49 |
C |
p. 141-152
|
artikel
|
| 7 |
Measuring rib cortical bone thickness and cross section from CT
|
Holcombe, Sven A.
|
|
2018
|
49 |
C |
p. 27-34
|
artikel
|
| 8 |
Neural multi-atlas label fusion: Application to cardiac MR images
|
Yang, Heran
|
|
2018
|
49 |
C |
p. 60-75
|
artikel
|
| 9 |
Quantification of the detailed cardiac left ventricular trabecular morphogenesis in the mouse embryo
|
Paun, Bruno
|
|
2018
|
49 |
C |
p. 89-104
|
artikel
|
| 10 |
Segmentation of glandular epithelium in colorectal tumours to automatically compartmentalise IHC biomarker quantification: A deep learning approach
|
Van Eycke, Yves-Rémi
|
|
2018
|
49 |
C |
p. 35-45
|
artikel
|
| 11 |
Synthesizing retinal and neuronal images with generative adversarial nets
|
Zhao, He
|
|
2018
|
49 |
C |
p. 14-26
|
artikel
|
| 12 |
Unmixing dynamic PET images with variable specific binding kinetics
|
Cavalcanti, Yanna Cruz
|
|
2018
|
49 |
C |
p. 117-127
|
artikel
|
| 13 |
Weakly-supervised convolutional neural networks for multimodal image registration
|
Hu, Yipeng
|
|
2018
|
49 |
C |
p. 1-13
|
artikel
|
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