| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Accurate model-based segmentation of gynecologic brachytherapy catheter collections in MRI-images
|
Mastmeyer, Andre
|
|
2017
|
42 |
C |
p. 173-188
|
artikel
|
| 2 |
A competitive strategy for atrial and aortic tract segmentation based on deformable models
|
Morais, Pedro
|
|
2017
|
42 |
C |
p. 102-116
|
artikel
|
| 3 |
A survey on deep learning in medical image analysis
|
Litjens, Geert
|
|
2017
|
42 |
C |
p. 60-88
|
artikel
|
| 4 |
Constructing fine-granularity functional brain network atlases via deep convolutional autoencoder
|
Zhao, Yu
|
|
2017
|
42 |
C |
p. 200-211
|
artikel
|
| 5 |
CorteXpert: A model-based method for automatic renal cortex segmentation
|
Xiang, Dehui
|
|
2017
|
42 |
C |
p. 257-273
|
artikel
|
| 6 |
Co-trained convolutional neural networks for automated detection of prostate cancer in multi-parametric MRI
|
Yang, Xin
|
|
2017
|
42 |
C |
p. 212-227
|
artikel
|
| 7 |
3D/2D Registration with superabundant vessel reconstruction for cardiac resynchronization therapy
|
Toth, Daniel
|
|
2017
|
42 |
C |
p. 160-172
|
artikel
|
| 8 |
Designing image segmentation studies: Statistical power, sample size and reference standard quality
|
Gibson, Eli
|
|
2017
|
42 |
C |
p. 44-59
|
artikel
|
| 9 |
Discriminative confidence estimation for probabilistic multi-atlas label fusion
|
Benkarim, Oualid M.
|
|
2017
|
42 |
C |
p. 274-287
|
artikel
|
| 10 |
Editorial Board
|
|
|
2017
|
42 |
C |
p. IFC
|
artikel
|
| 11 |
Ensemble of expert deep neural networks for spatio-temporal denoising of contrast-enhanced MRI sequences
|
Benou, A.
|
|
2017
|
42 |
C |
p. 145-159
|
artikel
|
| 12 |
Estimation of individual axon bundle properties by a Multi-Resolution Discrete-Search method
|
Coronado-Leija, Ricardo
|
|
2017
|
42 |
C |
p. 26-43
|
artikel
|
| 13 |
Gyral net: A new representation of cortical folding organization
|
Chen, Hanbo
|
|
2017
|
42 |
C |
p. 14-25
|
artikel
|
| 14 |
Learning and combining image neighborhoods using random forests for neonatal brain disease classification
|
Zimmer, Veronika A.
|
|
2017
|
42 |
C |
p. 189-199
|
artikel
|
| 15 |
MR-based respiratory and cardiac motion correction for PET imaging
|
Küstner, Thomas
|
|
2017
|
42 |
C |
p. 129-144
|
artikel
|
| 16 |
Multivariate brain network graph identification in functional MRI
|
Aggarwal, Priya
|
|
2017
|
42 |
C |
p. 228-240
|
artikel
|
| 17 |
New methods for the geometrical analysis of tubular organs
|
Grélard, Florent
|
|
2017
|
42 |
C |
p. 89-101
|
artikel
|
| 18 |
Registration and fusion quantification of augmented reality based nasal endoscopic surgery
|
Chu, Yakui
|
|
2017
|
42 |
C |
p. 241-256
|
artikel
|
| 19 |
Supervised graph hashing for histopathology image retrieval and classification
|
Shi, Xiaoshuang
|
|
2017
|
42 |
C |
p. 117-128
|
artikel
|
| 20 |
Tissue microstructure estimation using a deep network inspired by a dictionary-based framework
|
Ye, Chuyang
|
|
2017
|
42 |
C |
p. 288-299
|
artikel
|
| 21 |
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge
|
Setio, Arnaud Arindra Adiyoso
|
|
2017
|
42 |
C |
p. 1-13
|
artikel
|
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