Result 1 to 20 of 21 total
A generative approach for image-based modeling of tumor growth. (English)
Székely, Gábor (ed.) et al., Information processing in medical imaging. 22nd international conference, IPMI 2011, Kloster Irsee, Germany, July 3‒8, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-22091-3/pbk). Lecture Notes in Computer Science 6801, 735-747 (2011).
1
On oblique random forests. (English)
Gunopulos, Dimitrios (ed.) et al., Machine learning and knowledge discovery in databases. European conference, ECML PKDD 2011, Athens, Greece, September 5‒9, 2011. Proceedings, Part II. Berlin: Springer (ISBN 978-3-642-23782-9/pbk). Lecture Notes in Computer Science 6912. Lecture Notes in Artificial Intelligence, 453-469 (2011).
2
Comparative validation of graphical models for learning tumor segmentations from noisy manual annotations. (English)
Menze, Bjoern (ed.) et al., Medical computer vision. Recognition techniques and applications in medical imaging. International MICCAI workshop, MCV 2010, Beijing, China, September 20, 2010. Revised selected papers. Berlin: Springer (ISBN 978-3-642-18420-8/pbk). Lecture Notes in Computer Science 6533, 74-85 (2011).
3
Medical computer vision. Recognition techniques and applications in medical imaging. International MICCAI workshop, MCV 2010, Beijing, China, September 20, 2010. Revised selected papers. (English)
Lecture Notes in Computer Science 6533. Berlin: Springer (ISBN 978-3-642-18420-8/pbk). xi, 226~p. EUR~49.22 (2011).
4
On oblique random forests (English)
ECML/PKDD (2), 453-469 (2011).
5
A generative approach for image-based modeling of tumor growth (English)
IPMI, 735-747 (2011).
6
Spatial decision forests for MS lesion segmentation in multi-channel MR images. (English)
Jiang, Tianzi (ed.) et al., Medical image computing and computer-assisted intervention ‒ MICCAI 2010. 13th international conference, Beijing, China, September 20‒24, 2010. Proceedings, Part I. Berlin: Springer (ISBN 978-3-642-15704-2/pbk). Lecture Notes in Computer Science 6361, 111-118 (2010).
7
A generative model for brain tumor segmentation in multi-modal images. (English)
Jiang, Tianzi (ed.) et al., Medical image computing and computer-assisted intervention ‒ MICCAI 2010. 13th international conference, Beijing, China, September 20‒24, 2010. Proceedings, Part II. Berlin: Springer (ISBN 978-3-642-15744-8/pbk). Lecture Notes in Computer Science 6362, 151-159 (2010).
8
Image guided personalization of reaction-diffusion type tumor growth models using modified anisotropic eikonal equations (English)
IEEE Trans. Med. Imaging 29, No. 1, 77-95 (2010).
9
Segmentation of image ensembles via latent atlases (English)
Medical Image Analysis 14, No. 5, 654-665 (2010).
10
Comparative validation of graphical models for learning tumor segmentations from noisy manual annotations (English)
MCV, 74-85 (2010).
11
A generative model for brain tumor segmentation in multi-modal images (English)
MICCAI (2), 151-159 (2010).
12
Spatial decision forests for MS lesion segmentation in multi-channel MR images (English)
MICCAI (1), 111-118 (2010).
13
A comparison of random forest and its gini importance with standard chemometric methods for the feature selection and classification of spectral data. (English)
BMC Bioinform. 10 (2009).
14
Estimating kinetic parameter maps from dynamic contrast-enhanced MRI using spatial prior knowledge (English)
IEEE Trans. Med. Imaging 28, No. 10, 1534-1547 (2009).
15
Semi-supervised tumor detection in magnetic resonance spectroscopic images using discriminative random fields. (English)
Hamprecht, Fred A. (ed.) et al., Pattern recognition. 29th DAGM symposium, Heidelberg, Germany, September 12‒14, 2007. Proceedings. Berlin: Springer (ISBN 978-3-540-74933-2/pbk). Lecture Notes in Computer Science 4713, 224-233 (2007).
16
Semi-supervised tumor detection in magnetic resonance spectroscopic images using discriminative random fields (English)
DAGM-Symposium, 224-233 (2007).
17
Machine-based rejection of low-quality spectra and estimation of brain tumor probabilities from magnetic resonance spectroscopic images (English)
Bildverarbeitung für die Medizin, 31-35 (2006).
18
CLARET: A tool for fully automated evaluation of MRSI with pattern recognition methods (English)
Bildverarbeitung für die Medizin, 51-55 (2006).
19
From eigenspots to fisherspots - latent spaces in the nonlinear detection of spot patterns in a highly varying background (English)
GfKl, 255-262 (2006).
20
Result 1 to 20 of 21 total
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