| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A methodology for generating four-dimensional arterial spin labeling MR angiography virtual phantoms
|
Phellan, Renzo
|
|
2019
|
56 |
C |
p. 184-192
|
artikel
|
| 2 |
BACH: Grand challenge on breast cancer histology images
|
Aresta, Guilherme
|
|
2019
|
56 |
C |
p. 122-139
|
artikel
|
| 3 |
Computational anatomy for multi-organ analysis in medical imaging: A review
|
Cerrolaza, Juan J.
|
|
2019
|
56 |
C |
p. 44-67
|
artikel
|
| 4 |
Convolutional sparse kernel network for unsupervised medical image analysis
|
Ahn, Euijoon
|
|
2019
|
56 |
C |
p. 140-151
|
artikel
|
| 5 |
Corrigendum to “Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge” [Medical Image Analysis, 54 (2019) 111--121]
|
Veta, Mitko
|
|
2019
|
56 |
C |
p. 43
|
artikel
|
| 6 |
Editorial Board
|
|
|
2019
|
56 |
C |
p. ii
|
artikel
|
| 7 |
Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow
|
Zheng, Qiao
|
|
2019
|
56 |
C |
p. 80-95
|
artikel
|
| 8 |
Fast predictive simple geodesic regression
|
Ding, Zhipeng
|
|
2019
|
56 |
C |
p. 193-209
|
artikel
|
| 9 |
Fusing learned representations from Riesz Filters and Deep CNN for lung tissue classification
|
Joyseeree, Ranveer
|
|
2019
|
56 |
C |
p. 172-183
|
artikel
|
| 10 |
GRUU-Net: Integrated convolutional and gated recurrent neural network for cell segmentation
|
Wollmann, T.
|
|
2019
|
56 |
C |
p. 68-79
|
artikel
|
| 11 |
Level set distribution model of nested structures using logarithmic transformation
|
Saito, Atsushi
|
|
2019
|
56 |
C |
p. 1-10
|
artikel
|
| 12 |
Multivariate graph learning for detecting aberrant connectivity of dynamic brain networks in autism
|
Aggarwal, Priya
|
|
2019
|
56 |
C |
p. 11-25
|
artikel
|
| 13 |
Quantitative CMR population imaging on 20,000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation
|
Attar, Rahman
|
|
2019
|
56 |
C |
p. 26-42
|
artikel
|
| 14 |
Quantitative error prediction of medical image registration using regression forests
|
Sokooti, Hessam
|
|
2019
|
56 |
C |
p. 110-121
|
artikel
|
| 15 |
Suite of meshless algorithms for accurate computation of soft tissue deformation for surgical simulation
|
Joldes, Grand
|
|
2019
|
56 |
C |
p. 152-171
|
artikel
|
| 16 |
Tensor decomposition of hyperspectral images to study autofluorescence in age-related macular degeneration
|
Dey, Neel
|
|
2019
|
56 |
C |
p. 96-109
|
artikel
|
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