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Michael Reiter
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2020 – today
- 2024
- [c22]Lisa Weijler, Florian Kowarsch, Michael Reiter, Pedro Hermosilla, Margarita Maurer-Granofszky, Michael N. Dworzak:
FATE: Feature-Agnostic Transformer-based Encoder for learning generalized embedding spaces in flow cytometry data. WACV 2024: 7941-7949 - [i4]Elpiniki Maria Lygizou, Michael Reiter, Margarita Maurer-Granofszky, Michael N. Dworzak, Radu Grosu:
Automated Immunophenotyping Assessment for Diagnosing Childhood Acute Leukemia using Set-Transformers. CoRR abs/2406.18309 (2024) - 2023
- [j11]Shaojie Chang, Yongfeng Gao, Marc Jason Pomeroy, Ti Bai, Hao Zhang, Siming Lu, Perry J. Pickhardt, Amit Gupta, Michael Reiter, Elaine S. Gould, Zhengrong Liang:
Exploring Dual-Energy CT Spectral Information for Machine Learning-Driven Lesion Diagnosis in Pre-Log Domain. IEEE Trans. Medical Imaging 42(6): 1835-1845 (2023) - [j10]Yongfeng Gao, Jiaxing Tan, Yongyi Shi, Hao Zhang, Siming Lu, Amit Gupta, Haifang Li, Michael Reiter, Zhengrong Liang:
Machine Learned Texture Prior From Full-Dose CT Database via Multi-Modality Feature Selection for Bayesian Reconstruction of Low-Dose CT. IEEE Trans. Medical Imaging 42(11): 3129-3139 (2023) - [i3]Florian Kowarsch, Lisa Weijler, Florian Kleber, Matthias Wödlinger, Michael Reiter, Margarita Maurer-Granofszky, Michael N. Dworzak:
Explainable Techniques for Analyzing Flow Cytometry Cell Transformers. CoRR abs/2307.14581 (2023) - [i2]Lisa Weijler, Florian Kowarsch, Michael Reiter, Pedro Hermosilla, Margarita Maurer-Granofszky, Michael N. Dworzak:
FATE: Feature-Agnostic Transformer-based Encoder for learning generalized embedding spaces in flow cytometry data. CoRR abs/2311.03314 (2023) - 2022
- [j9]Matthias Wödlinger, Michael Reiter, Lisa Weijler, Margarita Maurer-Granofszky, Angela Schumich, Elisa O. Sajaroff, Stefanie Groeneveld-Krentz, Jorge G. Rossi, Leonid Karawajew, Richard Ratei, Michael N. Dworzak:
Automated identification of cell populations in flow cytometry data with transformers. Comput. Biol. Medicine 144: 105314 (2022) - [c21]Florian Kowarsch, Lisa Weijler, Matthias Wödlinger, Michael Reiter, Margarita Maurer-Granofszky, Angela Schumich, Elisa O. Sajaroff, Stefanie Groeneveld-Krentz, Jorge G. Rossi, Leonid Karawajew, Richard Ratei, Michael N. Dworzak:
Towards Self-explainable Transformers for Cell Classification in Flow Cytometry Data. iMIMIC@MICCAI 2022: 22-32 - 2021
- [c20]Bertram Sabrowsky-Hirsch, Roxana-Maria Holom, Christian Gusenbauer, Michael Reiter, Florian Reiterer, Ricardo Fernández Gutiérrez, Josef Scharinger:
Automatic Classification of XCT Images in Manufacturing. AIAI 2021: 220-231 - [i1]Matthias Wödlinger, Michael Reiter, Lisa Weijler, Margarita Maurer-Granofszky, Angela Schumich, Michael N. Dworzak:
Automated Identification of Cell Populations in Flow Cytometry Data with Transformers. CoRR abs/2108.10072 (2021) - 2020
- [c19]Lisa Weijler, Markus Diem, Michael Reiter, Margarita Maurer-Granofszky:
Detecting Rare Cell Populations in Flow Cytometry Data Using UMAP. ICPR 2020: 4903-4909
2010 – 2019
- 2018
- [c18]Roxane Licandro, Thomas Schlegl, Michael Reiter, Markus Diem, Michael N. Dworzak, Angela Schumich, Georg Langs, Martin Kampel:
WGAN Latent Space Embeddings for Blast Identification in Childhood Acute Myeloid Leukaemia. ICPR 2018: 3868-3873 - [c17]Roxane Licandro, Michael Reiter, Markus Diem, Michael N. Dworzak, Angela Schumich, Martin Kampel:
Application of Machine Learning for Automatic MRD Assessment in Paediatric Acute Myeloid Leukaemia. ICPRAM 2018: 401-408 - 2016
- [j8]Michael Reiter, Paolo Rota, Florian Kleber, Markus Diem, Stefanie Groeneveld-Krentz, Michael N. Dworzak:
Clustering of cell populations in flow cytometry data using a combination of Gaussian mixtures. Pattern Recognit. 60: 1029-1040 (2016) - [c16]Roxane Licandro, Paolo Rota, Michael Reiter, Martin Kampel:
Flow Cytometry based automatic MRD assessment in Acute Lymphoblastic Leukaemia: Longitudinal evaluation of time-specific cell population models. CBMI 2016: 1-6 - [c15]Paolo Rota, Florian Kleber, Michael Reiter, Stefanie Groeneveld-Krentz, Martin Kampel:
The Role of Machine Learning in Medical Data Analysis. A Case Study: Flow Cytometry. VISIGRAPP (3: VISAPP) 2016: 305-312 - 2015
- [j7]Thomas Wieland, Michael Reiter, Ernst Schmautzer, Lothar Fickert, Jürgen Fabian, Robert Schmied:
Probabilistische Methode zur Modellierung des Ladeverhaltens von Elektroautos anhand gemessener Daten elektrischer Ladestationen - Auslastungsanalysen von Ladestationen unter Berücksichtigung des Standorts zur Planung von elektrischen Stromnetzen. Elektrotech. Informationstechnik 132(3): 160-167 (2015) - [c14]Paolo Rota, Stefanie Groeneveld-Krentz, Michael Reiter:
On automated Flow Cytometric analysis for MRD estimation of Acute Lymphoblastic Leukaemia: A comparison among different approaches. BIBM 2015: 438-441 - 2014
- [j6]Thomas Wieland, Michael Reiter, Ernst Schmautzer, Lothar Fickert, Mike Alexander Lagler, Siegfried Eberhart:
Gleichzeitigkeitsfaktoren in der elektrischen Energieversorgung - Konventioneller und probabilistischer Ansatz. Elektrotech. Informationstechnik 131(8): 249-255 (2014) - [c13]Florian Kromp, Sabine Taschner-Mandl, Magdalena Schwarz, Johanna Blaha, Tamara Weiss, Peter F. Ambros, Michael Reiter:
Semi-automated segmentation of neuroblastoma nuclei using the gradient energy tensor: a user driven approach. ICMV 2014: 94451K - 2012
- [c12]Michael Reiter, Uwe Breitenbücher, Oliver Kopp, Dimka Karastoyanova:
Quality of data driven simulation workflows. eScience 2012: 1-8 - [c11]Michael Reiter, Hong Linh Truong, Schahram Dustdar, Dimka Karastoyanova, Robert Krause, Frank Leymann, Dieter Pahr:
On Analyzing Quality of Data Influences on Performance of Finite Elements Driven Computational Simulations. Euro-Par 2012: 793-804 - [c10]Uwe Breitenbücher, Oliver Kopp, Frank Leymann, Michael Reiter, Dieter Roller, Tobias Unger:
Six Strategies for Building High Performance SOA Applications. ZEUS 2012: 120-127 - 2011
- [j5]Artem Amirkhanov, Christoph Heinzl, Michael Reiter, Johann Kastner, M. Eduard Gröller:
Projection-Based Metal-Artifact Reduction for Industrial 3D X-ray Computed Tomography. IEEE Trans. Vis. Comput. Graph. 17(12): 2193-2202 (2011) - [c9]Peter Reimann, Michael Reiter, Holger Schwarz, Dimka Karastoyanova, Frank Leymann:
SIMPL - A Framework for Accessing External Data in Simulation Workflows. BTW 2011: 534-553 - [c8]Michael Reiter, Uwe Breitenbücher, Schahram Dustdar, Dimka Karastoyanova, Frank Leymann, Hong Linh Truong:
A Novel Framework for Monitoring and Analyzing Quality of Data in Simulation Workflows. eScience 2011: 105-112 - [p1]Katharina Görlach, Mirko Sonntag, Dimka Karastoyanova, Frank Leymann, Michael Reiter:
Conventional Workflow Technology for Scientific Simulation. Guide to e-Science 2011: 323-352 - 2010
- [j4]Mirko Sonntag, Katharina Görlach, Dimka Karastoyanova, Frank Leymann, Michael Reiter:
Process space-based scientific workflow enactment. Int. J. Bus. Process. Integr. Manag. 5(1): 32-44 (2010) - [j3]Artem Amirkhanov, Christoph Heinzl, Michael Reiter, M. Eduard Gröller:
Visual Optimality and Stability Analysis of 3DCT Scan Positions. IEEE Trans. Vis. Comput. Graph. 16(6): 1477-1486 (2010) - [c7]Ya-Xi Chen, Michael Reiter, Andreas Butz:
PhotoMagnets: supporting flexible browsing and searching in photo collections. ICMI-MLMI 2010: 25:1-25:8
2000 – 2009
- 2009
- [c6]Johannes Käst, Jochen Neuhaus, Felix Nickel, Hannes Kenngott, Markus Engel, Elaine Short, Michael Reiter, Hans-Peter Meinzer, Lena Maier-Hein:
Der Telemanipulator daVinci als mechanisches Trackingsystem. Bildverarbeitung für die Medizin 2009: 92-96 - 2006
- [j2]Rene Donner, Michael Reiter, Georg Langs, Philipp Peloschek, Horst Bischof:
Fast Active Appearance Model Search Using Canonical Correlation Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 28(10): 1690-1694 (2006) - [c5]Georg Langs, Philipp Peloschek, Rene Donner, Michael Reiter, Horst Bischof:
Active Feature Models. ICPR (1) 2006: 417-420 - [c4]Michael Reiter, Rene Donner, Georg Langs, Horst Bischof:
3D and Infrared Face Reconstruction from RGB data using Canonical Correlation Analysis. ICPR (1) 2006: 425-428 - 2003
- [j1]Thomas Melzer, Michael Reiter, Horst Bischof:
Appearance models based on kernel canonical correlation analysis. Pattern Recognit. 36(9): 1961-1971 (2003) - 2001
- [c3]Thomas Melzer, Michael Reiter, Horst Bischof:
Nonlinear Feature Extraction Using Generalized Canonical Correlation Analysis. ICANN 2001: 353-360
1990 – 1999
- 1999
- [c2]Caterina Saraceno, Michael Reiter, Paul Kammerer, Ernestine Zolda, Walter G. Kropatsch:
Pictorial Portrait Indexing Using View-Based Eigen-Eyes. VISUAL 1999: 649-656 - 1998
- [c1]Michael Reiter, Jiri Matas:
Object-detection with a varying number of eigenspace projections. ICPR 1998: 759-761
Coauthor Index
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