| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Abdominal multi-organ segmentation with organ-attention networks and statistical fusion
|
Wang, Yan
|
|
2019
|
55 |
C |
p. 88-102
|
artikel
|
| 2 |
A deep network for tissue microstructure estimation using modified LSTM units
|
Ye, Chuyang
|
|
2019
|
55 |
C |
p. 49-64
|
artikel
|
| 3 |
A kernel-based image denoising method for improving parametric image generation
|
Huang, Hsuan-Ming
|
|
2019
|
55 |
C |
p. 41-48
|
artikel
|
| 4 |
An algorithm for learning shape and appearance models without annotations
|
Ashburner, John
|
|
2019
|
55 |
C |
p. 197-215
|
artikel
|
| 5 |
Attentive neural cell instance segmentation
|
Yi, Jingru
|
|
2019
|
55 |
C |
p. 228-240
|
artikel
|
| 6 |
Automated segmentation of macular edema in OCT using deep neural networks
|
Hu, Junjie
|
|
2019
|
55 |
C |
p. 216-227
|
artikel
|
| 7 |
Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning
|
Oksuz, Ilkay
|
|
2019
|
55 |
C |
p. 136-147
|
artikel
|
| 8 |
Denoising of 3D magnetic resonance images using a residual encoder–decoder Wasserstein generative adversarial network
|
Ran, Maosong
|
|
2019
|
55 |
C |
p. 165-180
|
artikel
|
| 9 |
Direct automated quantitative measurement of spine by cascade amplifier regression network with manifold regularization
|
Pang, Shumao
|
|
2019
|
55 |
C |
p. 103-115
|
artikel
|
| 10 |
Editorial Board
|
|
|
2019
|
55 |
C |
p. ii
|
artikel
|
| 11 |
Estimating uncertainty in MRF-based image segmentation: A perfect-MCMC approach
|
Awate, Suyash P.
|
|
2019
|
55 |
C |
p. 181-196
|
artikel
|
| 12 |
Fast and accurate tumor segmentation of histology images using persistent homology and deep convolutional features
|
Qaiser, Talha
|
|
2019
|
55 |
C |
p. 1-14
|
artikel
|
| 13 |
Flow network tracking for spatiotemporal and periodic point matching: Applied to cardiac motion analysis
|
Parajuli, Nripesh
|
|
2019
|
55 |
C |
p. 116-135
|
artikel
|
| 14 |
Pulmonary nodule detection in CT scans with equivariant CNNs
|
Winkels, Marysia
|
|
2019
|
55 |
C |
p. 15-26
|
artikel
|
| 15 |
Super-resolution reconstruction of neonatal brain magnetic resonance images via residual structured sparse representation
|
Zhang, Yongqin
|
|
2019
|
55 |
C |
p. 76-87
|
artikel
|
| 16 |
The deformable most-likely-point paradigm
|
Sinha, Ayushi
|
|
2019
|
55 |
C |
p. 148-164
|
artikel
|
| 17 |
Universal atrial coordinates applied to visualisation, registration and construction of patient specific meshes
|
Roney, Caroline H.
|
|
2019
|
55 |
C |
p. 65-75
|
artikel
|
| 18 |
Unsupervised tumor detection in Dynamic PET/CT imaging of the prostate
|
Rubinstein, Eldad
|
|
2019
|
55 |
C |
p. 27-40
|
artikel
|
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