| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Automated compromised right lung segmentation method using a robust atlas-based active volume model with sparse shape composition prior in CT
|
Zhou, Jinghao
|
|
2015
|
|
P1 |
p. 47-55
9 p.
|
artikel
|
| 2 |
Classification of multiple sclerosis lesions using adaptive dictionary learning
|
Deshpande, Hrishikesh
|
|
2015
|
|
P1 |
p. 2-10
9 p.
|
artikel
|
| 3 |
Editorial board and publication information
|
|
|
2015
|
|
P1 |
p. IFC-
1 p.
|
artikel
|
| 4 |
Group sparsity model for stain unmixing in brightfield multiplex immunohistochemistry images
|
Chen, Ting
|
|
2015
|
|
P1 |
p. 30-39
10 p.
|
artikel
|
| 5 |
Measuring sparse temporal-variation for accurate registration of dynamic contrast-enhanced breast MR images
|
Zheng, Yuanjie
|
|
2015
|
|
P1 |
p. 73-80
8 p.
|
artikel
|
| 6 |
Predictive sparse modeling of fMRI data for improved classification, regression, and visualization using the k-support norm
|
Belilovsky, Eugene
|
|
2015
|
|
P1 |
p. 40-46
7 p.
|
artikel
|
| 7 |
Sparse group composition for robust left ventricular epicardium segmentation
|
Wang, Bing
|
|
2015
|
|
P1 |
p. 56-63
8 p.
|
artikel
|
| 8 |
Sparse Non-negative Matrix Factorization (SNMF) based color unmixing for breast histopathological image analysis
|
Xu, Jun
|
|
2015
|
|
P1 |
p. 20-29
10 p.
|
artikel
|
| 9 |
Sparsity techniques in medical imaging
|
Fang, Ruogu
|
|
2015
|
|
P1 |
p. 1-
1 p.
|
artikel
|
| 10 |
Statistical shape model reconstruction with sparse anomalous deformations: Application to intervertebral disc herniation
|
Neubert, Aleš
|
|
2015
|
|
P1 |
p. 11-19
9 p.
|
artikel
|
| 11 |
Tissue-specific sparse deconvolution for brain CT perfusion
|
Fang, Ruogu
|
|
2015
|
|
P1 |
p. 64-72
9 p.
|
artikel
|
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