| Appearance models based on kernel canonical correlation analysis T Melzer, M Reiter, H Bischof Pattern recognition 36 (9), 1961-1971, 2003 | 306 | 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 | 232 | 2006 |
| Nonlinear feature extraction using generalized canonical correlation analysis T Melzer, M Reiter, H Bischof International Conference on Artificial Neural Networks, 353-360, 2001 | 138 | 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 | 82 | 2006 |
| 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 | 58 | 2019 |
| 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 | 36 | 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 | 30 | 2016 |
| 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 | 28 | 2019 |
| Automated identification of cell populations in flow cytometry data with transformers M Wödlinger, M Reiter, L Weijler, M Maurer-Granofszky, A Schumich, ... Computers in Biology and Medicine 144, 105314, 2022 | 21 | 2022 |
| UMAP based anomaly detection for minimal residual disease quantification within acute myeloid leukemia L Weijler, F Kowarsch, M Wödlinger, M Reiter, M Maurer-Granofszky, ... Cancers 14 (4), 898, 2022 | 19 | 2022 |
| Estimation of face depth maps from color textures using canonical correlation analysis M Reiter, R Donner, G Langs, H Bischof na, 2006 | 17 | 2006 |
| 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 | 16 | 2015 |
| WGAN latent space embeddings for blast identification in childhood acute myeloid leukaemia R Licandro, T Schlegl, M Reiter, M Diem, M Dworzak, A Schumich, ... 2018 24th International Conference on Pattern Recognition (ICPR), 3868-3873, 2018 | 14 | 2018 |
| Monitoring acute lymphoblastic leukemia therapy with stacked denoising autoencoders J Scheithe, R Licandro, P Rota, M Reiter, M Diem, M Kampel Computer Aided Intervention and Diagnostics in Clinical and Medical Images …, 2019 | 12 | 2019 |
| Kernel canonical correlation analysis T Melzer, M Reiter, H Bischof J Financ Econ Policy 6 (2), 179-196, 2001 | 12 | 2001 |
| 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 | 12 | 1999 |
| Fixation of transverse acetabular fractures with precontoured plates alone causes fracture malreduction: a biomechanical assessment NA Alfonso, W Ryan, T Baldini, M Reiter, C Joyce, C Mauffrey Journal of Orthopaedic Trauma 34 (2), 89-94, 2020 | 10 | 2020 |
| 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 | 10 | 2018 |
| Towards self-explainable transformers for cell classification in flow cytometry data F Kowarsch, L Weijler, M Wödlinger, M Reiter, M Maurer-Granofszky, ... International Workshop on Interpretability of Machine Intelligence in …, 2022 | 8 | 2022 |
| 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 International Conference on Computer Vision Theory and Applications 4, 303-310, 2016 | 8 | 2016 |
Horst BischofGraz University of TechnologyEmail verificata su icg.tugraz.at