Michael Reiter
Michael Reiter
tuwien.ac.at üzerinde doğrulanmış e-posta adresine sahip
Alıntı yapanlar
Alıntı yapanlar
Appearance models based on kernel canonical correlation analysis
T Melzer, M Reiter, H Bischof
Pattern recognition 36 (9), 1961-1971, 2003
Fast active appearance model search using canonical correlation analysis
R Donner, M Reiter, G Langs, P Peloschek, H Bischof
IEEE transactions on pattern analysis and machine intelligence 28 (10), 1690 …, 2006
Nonlinear feature extraction using generalized canonical correlation analysis
T Melzer, M Reiter, H Bischof
International Conference on Artificial Neural Networks, 353-360, 2001
3D and infrared face reconstruction from RGB data using canonical correlation analysis
M Reiter, R Donner, G Langs, H Bischof
18th International Conference on Pattern Recognition (ICPR'06) 1, 425-428, 2006
Active feature models
G Langs, P Peloschek, R Donner, M Reiter, H Bischof
18th International Conference on Pattern Recognition (ICPR'06) 1, 417-420, 2006
Estimation of face depth maps from color textures using canonical correlation analysis
M Reiter, R Donner, G Langs, H Bischof
na, 2006
Clustering of cell populations in flow cytometry data using a combination of Gaussian mixtures
M Reiter, P Rota, F Kleber, M Diem, S Groeneveld-Krentz, M Dworzak
Pattern Recognition 60, 1029-1040, 2016
On automated Flow Cytometric analysis for MRD estimation of Acute Lymphoblastic Leukaemia: A comparison among different approaches
P Rota, S Groeneveld-Krentz, M Reiter
2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2015
Pictorial portrait indexing using view-based eigen-eyes
C Saraceno, M Reiter, P Kammerer, E Zolda, W Kropatsch
International Conference on Advances in Visual Information Systems, 649-657, 1999
Aneuploidy in children with relapsed B‐cell precursor acute lymphoblastic leukaemia: clinical importance of detecting a hypodiploid origin of relapse
S Groeneveld‐Krentz, MP Schroeder, M Reiter, MJ Pogodzinski, ...
British journal of haematology 185 (2), 266-283, 2019
Automated Flow Cytometric MRD Assessment in Childhood Acute B‐Lymphoblastic Leukemia Using Supervised Machine Learning
M Reiter, M Diem, A Schumich, M Maurer‐Granofszky, L Karawajew, ...
Cytometry Part A 95 (9), 966-975, 2019
The Role of Machine Learning in Medical Data Analysis. A Case Study: Flow Cytometry.
P Rota, F Kleber, M Reiter, S Groeneveld-Krentz, M Kampel
VISIGRAPP (3: VISAPP), 305-312, 2016
Semi-automated segmentation of neuroblastoma nuclei using the Gradient Energy Tensor: a user driven approach
F Kromp, S Taschner-Mandl, M Schwarz, J Blaha, T Weiss, PF Ambros, ...
Seventh International Conference on Machine Vision (ICMV 2014) 9445, 94451K, 2015
Object-detection with a varying number of eigenspace projections
M Reiter, J Matas
Proceedings. Fourteenth International Conference on Pattern Recognition (Cat …, 1998
Classification of cellular populations using Image Scatter-Plots
F Kromp, M Reiter, S Taschner-Mandl, PF Ambros, A Hanbury
20th Computer Vision Winter Workshop, 2015
Application of machine learning for automatic MRD assessment in paediatric acute myeloid leukaemia
R Licandro, M Reiter, M Diem, M Dworzak, A Schumich, M Kampel
Cancer cells 1012, 1010, 2018
Flow Cytometry based automatic MRD assessment in Acute Lymphoblastic Leukaemia: Longitudinal evaluation of time-specific cell population models
R Licandro, P Rota, M Reiter, M Kampel
2016 14th International Workshop on Content-Based Multimedia Indexing (CBMI …, 2016
Enhanced multiple output regression based on canonical correlation analysis with applications in computer vision
M Reiter
na, 2010
Towards automation of flow cytometric analysis for quality-assured follow-up assessment to guide curative therapy for acute lymphoblastic leukaemia in children
M Reiter, J Hoffmann, F Kleber, A Schumich, G Peter, F Kromp, M Kampel, ...
memo-Magazine of European Medical Oncology 7 (4), 219-226, 2014
Predicting near infrared face texture from color face images using canonical correlation analysis
M Reiter, R Donner, G Langs, H Bischof
Digital Imaging and Pattern Recognition, Proc. of 30th Workshop of the …, 2006
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Makaleler 1–20