| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Active appearance pyramids for object parametrisation and fitting
|
Zhang, Qiang
|
|
2016
|
32 |
C |
p. 101-114
14 p.
|
artikel
|
| 2 |
A framework for the automatic detection and characterization of brain malformations: Validation on the corpus callosum
|
Peruzzo, Denis
|
|
2016
|
32 |
C |
p. 233-242
10 p.
|
artikel
|
| 3 |
A fully automated tortuosity quantification system with application to corneal nerve fibres in confocal microscopy images
|
Annunziata, Roberto
|
|
2016
|
32 |
C |
p. 216-232
17 p.
|
artikel
|
| 4 |
A spherical harmonics intensity model for 3D segmentation and 3D shape analysis of heterochromatin foci
|
Eck, Simon
|
|
2016
|
32 |
C |
p. 18-31
14 p.
|
artikel
|
| 5 |
Automatic optimal filament segmentation with sub-pixel accuracy using generalized linear models and B-spline level-sets
|
Xiao, Xun
|
|
2016
|
32 |
C |
p. 157-172
16 p.
|
artikel
|
| 6 |
Editorial Board
|
|
|
2016
|
32 |
C |
p. IFC-
1 p.
|
artikel
|
| 7 |
Estimation of fiber orientations using neighborhood information
|
Ye, Chuyang
|
|
2016
|
32 |
C |
p. 243-256
14 p.
|
artikel
|
| 8 |
Group-wise consistent cortical parcellation based on connectional profiles
|
Zhang, Tuo
|
|
2016
|
32 |
C |
p. 32-45
14 p.
|
artikel
|
| 9 |
Hyper-connectivity of functional networks for brain disease diagnosis
|
Jie, Biao
|
|
2016
|
32 |
C |
p. 84-100
17 p.
|
artikel
|
| 10 |
Identification of lesion images from gastrointestinal endoscope based on feature extraction of combinational methods with and without learning process
|
Liu, Ding-Yun
|
|
2016
|
32 |
C |
p. 281-294
14 p.
|
artikel
|
| 11 |
Influence of ultrasound speckle tracking strategies for motion and strain estimation
|
Curiale, Ariel H.
|
|
2016
|
32 |
C |
p. 184-200
17 p.
|
artikel
|
| 12 |
Integration of electro-anatomical and imaging data of the left ventricle: An evaluation framework
|
Soto-Iglesias, David
|
|
2016
|
32 |
C |
p. 131-144
14 p.
|
artikel
|
| 13 |
Non Local Spatial and Angular Matching: Enabling higher spatial resolution diffusion MRI datasets through adaptive denoising
|
St-Jean, Samuel
|
|
2016
|
32 |
C |
p. 115-130
16 p.
|
artikel
|
| 14 |
Pieces-of-parts for supervoxel segmentation with global context: Application to DCE-MRI tumour delineation
|
Irving, Benjamin
|
|
2016
|
32 |
C |
p. 69-83
15 p.
|
artikel
|
| 15 |
Reconstruction of coronary arteries from X-ray angiography: A review
|
Çimen, Serkan
|
|
2016
|
32 |
C |
p. 46-68
23 p.
|
artikel
|
| 16 |
Renal compartment segmentation in DCE-MRI images
|
Yang, Xin
|
|
2016
|
32 |
C |
p. 269-280
12 p.
|
artikel
|
| 17 |
Selecting radiomic features from FDG-PET images for cancer treatment outcome prediction
|
Lian, Chunfeng
|
|
2016
|
32 |
C |
p. 257-268
12 p.
|
artikel
|
| 18 |
Simultaneous segmentation and anatomical labeling of the cerebral vasculature
|
Robben, David
|
|
2016
|
32 |
C |
p. 201-215
15 p.
|
artikel
|
| 19 |
Spatially-constrained probability distribution model of incoherent motion (SPIM) for abdominal diffusion-weighted MRI
|
Kurugol, Sila
|
|
2016
|
32 |
C |
p. 173-183
11 p.
|
artikel
|
| 20 |
Supervised domain adaptation of decision forests: Transfer of models trained in vitro for in vivo intravascular ultrasound tissue characterization
|
Conjeti, Sailesh
|
|
2016
|
32 |
C |
p. 1-17
17 p.
|
artikel
|
| 21 |
What lies beneath? Diffusion EAP-based study of brain tissue microstructure
|
Zucchelli, Mauro
|
|
2016
|
32 |
C |
p. 145-156
12 p.
|
artikel
|
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