Michael Gadermayr

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 49

Top Topics

Multiple Instance

Image Normalization

Disease Diagnosis

Texture Classification

Top Venues

Comput. Biol. Medicine

Publications

Katja Löwenstein, Johanna Rehrl, Anja Schuster, Michael Gadermayr
Virtually Objective Quantification of in vitro Wound Healing Scratch Assays with the Segment Anything Model. CoRR (2024)
Maximilian Ernst Tschuchnig, Julia Coste-Marin, Philipp Steininger, Michael Gadermayr
Multi-task Learning to Improve Semantic Segmentation of CBCT Scans using Image Reconstruction. Bildverarbeitung für die Medizin (2024)
Maximilian Ernst Tschuchnig, Philipp Steininger, Michael Gadermayr
CBCTLiTS: A Synthetic, Paired CBCT/CT Dataset For Segmentation And Style Transfer. CoRR (2024)
Maximilian Ernst Tschuchnig, Philipp Steininger, Michael Gadermayr
Multimodal Learning With Intraoperative CBCT & Variably Aligned Preoperative CT Data To Improve Segmentation. CoRR (2024)
Michael Gadermayr, Maximilian Ernst Tschuchnig
Multiple instance learning for digital pathology: A review of the state-of-the-art, limitations & future potential. Comput. Medical Imaging Graph. 112 (2024)
Maximilian Ernst Tschuchnig, Julia Coste-Marin, Philipp Steininger, Michael Gadermayr
Multi-task Learning To Improve Semantic Segmentation Of CBCT Scans Using Image Reconstruction. CoRR (2023)
Maximilian Ernst Tschuchnig, Petra Tschuchnig, Cornelia Ferner, Michael Gadermayr
Inflation forecasting with attention based transformer neural networks. CoRR (2023)
Michael Gadermayr, Lukas Koller, Maximilian Ernst Tschuchnig, Lea Maria Stangassinger, Christina Kreutzer, Sebastien Couillard-Despres, Gertie Janneke Oostingh, Anton Hittmair
MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a Study on Thyroid Cancer Diagnosis. MICCAI (6) (2023)
Michael Gadermayr, Lukas Koller, Maximilian Ernst Tschuchnig, Lea Maria Stangassinger, Christina Kreutzer, Sebastien Couillard-Despres, Gertie Janneke Oostingh, Anton Hittmair
MixUp-MIL: A Study on Linear & Multilinear Interpolation-Based Data Augmentation for Whole Slide Image Classification. CoRR (2023)
Maximilian Ernst Tschuchnig, Philipp Grubmüller, Lea Maria Stangassinger, Christina Kreutzer, Sébastien Couillard-Després, Gertie Janneke Oostingh, Anton Hittmair, Michael Gadermayr
Evaluation of Multi-Scale Multiple Instance Learning to Improve Thyroid Cancer Classification. CoRR (2022)
Michael Gadermayr, Maximilian Ernst Tschuchnig
Multiple Instance Learning for Digital Pathology: A Review on the State-of-the-Art, Limitations & Future Potential. CoRR (2022)
Felix Duong, Michael Gadermayr, Dorit Merhof, Christiane Kuhl, Philipp Bruners, Sven H. Loosen, Christoph Roderburg, Daniel Truhn, Maximilian F. Schulze-Hagen
Automated major psoas muscle volumetry in computed tomography using machine learning algorithms. Int. J. Comput. Assist. Radiol. Surg. 17 (2) (2022)
Michael Gadermayr, Lukas Koller, Maximilian Ernst Tschuchnig, Lea Maria Stangassinger, Christina Kreutzer, Sebastien Couillard-Despres, Gertie Janneke Oostingh, Anton Hittmair
MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a Study on Thyroid Cancer Diagnosis. CoRR (2022)
Maximilian Ernst Tschuchnig, Philipp Grubmüller, Lea Maria Stangassinger, Christina Kreutzer, Sebastien Couillard-Despres, Gertie Janneke Oostingh, Anton Hittmair, Michael Gadermayr
Evaluation of Multi-Scale Multiple Instance Learning to Improve Thyroid Cancer Classification. IPTA (2022)
Martin Uray, Eduard Hirsch, Gerold Katzinger, Michael Gadermayr
Beyond Desktop Computation: Challenges in Scaling a GPU Infrastructure. CoRR (2021)
Maximilian Ernst Tschuchnig, Michael Gadermayr
Anomaly Detection in Medical Imaging - A Mini Review. CoRR (2021)
Michael Gadermayr, Maximilian Ernst Tschuchnig, Lea Maria Stangassinger, Christina Kreutzer, Sebastien Couillard-Despres, Gertie Janneke Oostingh, Anton Hittmair
Frozen-to-Paraffin: Categorization of Histological Frozen Sections by the Aid of Paraffin Sections and Generative Adversarial Networks. SASHIMI@MICCAI (2021)
Michael Gadermayr, Maximilian Ernst Tschuchnig, Laxmi Gupta, Nils Krämer, Daniel Truhn, Dorit Merhof, Burkhard Gess
An Asymmetric Cycle-Consistency Loss For Dealing With Many-To-One Mappings In Image Translation: A Study On Thigh Mr Scans. ISBI (2021)
Maximilian Ernst Tschuchnig, Dominic Zillner, Pasquale Romanelli, David Hercher, Patrick Heimel, Gertie Janneke Oostingh, Sebastien Couillard-Despres, Michael Gadermayr
Quantification of anomalies in rats' spinal cords using autoencoders. Comput. Biol. Medicine 138 (2021)
Maximilian Ernst Tschuchnig, Gertie Janneke Oostingh, Michael Gadermayr
Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential. CoRR (2020)
Georg Wimmer, Michael Gadermayr, Andreas Vécsei, Andreas Uhl
Improving Endoscopic Decision Support Systems by Translating Between Imaging Modalities. SASHIMI@MICCAI (2020)
Michael Gadermayr, Maximilian Ernst Tschuchnig, Lea Maria Stangassinger, Christina Kreutzer, Sebastien Couillard-Despres, Gertie Janneke Oostingh, Anton Hittmair
Frozen-to-Paraffin: Categorization of Histological Frozen Sections by the Aid of Paraffin Sections and Generative Adversarial Networks. CoRR (2020)
Maximilian Ernst Tschuchnig, Gertie Janneke Oostingh, Michael Gadermayr
Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential. Patterns 1 (8) (2020)
Michael Gadermayr, Maximilian Ernst Tschuchnig, Dorit Merhof, Nils Krämer, Daniel Truhn, Burkhard Gess
An Asymetric Cycle-Consistency Loss for Dealing with Many-to-One Mappings in Image Translation: A Study on Thigh MR Scans. CoRR (2020)
Maximilian Ernst Tschuchnig, Gertie Janneke Oostingh, Michael Gadermayr
Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential. Patterns 1 (6) (2020)
Georg Wimmer, Michael Gadermayr, Andreas Vécsei, Andreas Uhl
Improving Endoscopic Decision Support Systems by Translating Between Imaging Modalities. CoRR (2020)
Michael Gadermayr, Laxmi Gupta, Vitus Appel, Peter Boor, Barbara Mara Klinkhammer, Dorit Merhof
Generative Adversarial Networks for Facilitating Stain-Independent Supervised and Unsupervised Segmentation: A Study on Kidney Histology. IEEE Trans. Medical Imaging 38 (10) (2019)
Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof, Michael Gadermayr
Iterative learning to make the most of unlabeled and quickly obtained labeled data in histology. MIDL (2019)
Michael Gadermayr, Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof
Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations. MIDL (2019)
Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof, Michael Gadermayr
GAN-Based Image Enrichment in Digital Pathology Boosts Segmentation Accuracy. MICCAI (1) (2019)
Michael Gadermayr, Ann-Kathrin Dombrowski, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof
CNN cascades for segmenting sparse objects in gigapixel whole slide images. Comput. Medical Imaging Graph. 71 (2019)
Michael Gadermayr, Barbara Mara Klinkhammer, Peter Boor
Virtually Redying Histological Images with Generative Adversarial Networks to Facilitate Unsupervised Segmentation: A Proof-of-Concept Study. ECDP (2019)
Michael Gadermayr, Vitus Appel, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof
Which Way Round? A Study on the Performance of Stain-Translation for Segmenting Arbitrarily Dyed Histological Images. MICCAI (2) (2018)
Michael Gadermayr, Dennis Eschweiler, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof
Gradual Domain Adaptation for Segmenting Whole Slide Images Showing Pathological Variability. ICISP (2018)
Michael Gadermayr, Georg Wimmer, Hubert Kogler, Andreas Vécsei, Dorit Merhof, Andreas Uhl
Automated classification of celiac disease during upper endoscopy: Status quo and quo vadis. Comput. Biol. Medicine 102 (2018)
Michael Gadermayr, Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof
Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations. CoRR (2018)
Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof, Michael Gadermayr
Stain independent segmentation of whole slide images: A case study in renal histology. ISBI (2018)
Georg Wimmer, Michael Gadermayr, Roland Kwitt, Michael Häfner, Toru Tamaki, Shigeto Yoshida, Shinji Tanaka, Dorit Merhof, Andreas Uhl
Training of polyp staging systems using mixed imaging modalities. Comput. Biol. Medicine 102 (2018)
Michael Gadermayr, Georg Wimmer, Andreas Uhl, Hubert Kogler, Andreas Vécsei, Dorit Merhof
Fully-Automated CNN-Based Computer Aided Celiac Disease Diagnosis. ICIAP (2) (2017)
Michael Gadermayr, Dennis Eschweiler, Abiramjee Jeevanesan, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof
Segmenting renal whole slide images virtually without training data. Comput. Biol. Medicine 90 (2017)
Michael Gadermayr, Ann-Kathrin Dombrowski, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof
CNN Cascades for Segmenting Whole Slide Images of the Kidney. CoRR (2017)
Michael Gadermayr, Sean Steven Cooper, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof
A Quantitative Assessment of Image Normalization for Classifying Histopathological Tissue of the Kidney. GCPR (2017)
Georg Wimmer, Michael Gadermayr, Roland Kwitt, Michael Häfner, Dorit Merhof, Andreas Uhl
Evaluation of i-Scan Virtual Chromoendoscopy and Traditional Chromoendoscopy for the Automated Diagnosis of Colonic Polyps. CARE@MICCAI (2016)
Michael Gadermayr, Hubert Kogler, Maximilian Karla, Andreas Vécsei, Andreas Uhl, Dorit Merhof
Incorporating human knowledge in automated celiac disease diagnosis. IPTA (2016)
Dennis Eschweiler, Michael Gadermayr, Jakob Unger, Markus Nippold, Björn Falkenburger, Dorit Merhof
A Feasibility Study on Automated Protein Aggregate Characterization Utilizing a Hybrid Classification Model. VCBM/MedViz (2016)
Michael Gadermayr, Martin Strauch, Barbara Mara Klinkhammer, Sonja Djudjaj, Peter Boor, Dorit Merhof
Domain Adaptive Classification for Compensating Variability in Histopathological Whole Slide Images. ICIAR (2016)
Michael Gadermayr, Andreas Uhl
Making texture descriptors invariant to blur. EURASIP J. Image Video Process. 2016 (2016)
Michael Gadermayr, Sebastian Hegenbart, Roland Kwitt, Andreas Uhl, Andreas Vécsei
Narrow band imaging versus white-light: What is best for computer-assisted diagnosis of celiac disease? ISBI (2016)
Michael Gadermayr, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof
Do We Need Large Annotated Training Data for Detection Applications in Biomedical Imaging? A Case Study in Renal Glomeruli Detection. MLMI@MICCAI (2016)
Michael Gadermayr, Andreas Uhl, Andreas Vécsei
Dealing with Intra-Class and Intra-Image Variations in Automatic Celiac Disease Diagnosis. Bildverarbeitung für die Medizin (2015)
Michael Gadermayr, Andreas Uhl, Andreas Vécsei
Boosting Small-Data Performance of LBP: A Case Study in Celiac Disease Diagnosis. SCIA (2015)
Michael Gadermayr, Andreas Uhl
How to exploit large image data in the fields of texture classification: A case study with local binary patterns. ICIP (2015)
Michael Gadermayr, Hubert Kogler, Andreas Uhl, Andreas Vécsei
Comparing endoscopic imaging configurations in computer-aided celiac disease diagnosis. IPTA (2015)
Michael Gadermayr, Andreas Uhl, Andreas Vécsei
The Effect of Endoscopic Lens Distortion Correction on Physicians' Diagnosis Performance. Bildverarbeitung für die Medizin (2014)
Michael Gadermayr, Andreas Uhl, Andreas Vécsei
Degradation Adaptive Texture Classification: A Case Study in Celiac Disease Diagnosis Brings New Insight. ICIAR (2) (2014)
Michael Gadermayr, Andreas Uhl, Andreas Vécsei
Getting one step closer to fully automatized celiac disease diagnosis. IPTA (2014)
Michael Gadermayr, Andreas Uhl
Degradation adaptive texture classification. ICIP (2014)
Michael Gadermayr, Andreas Uhl, Andreas Vécsei
Is a Precise Distortion Estimation Needed for Computer Aided Celiac Disease Diagnosis? ICISP (2014)
Michael Gadermayr, Sebastian Hegenbart, Andreas Uhl
Scale-Adaptive Texture Classification. ICPR (2014)
Michael Gadermayr, Andreas Uhl, Andreas Vécsei
Quality Based Information Fusion in Fully Automatized Celiac Disease Diagnosis. GCPR (2014)
Michael Gadermayr, Andreas Uhl, Andreas Vécsei
Feature Extraction with Intrinsic Distortion Correction in Celiac Disease Imagery: No Need for Rasterization. MCV (2013)
Michael Gadermayr, Andreas Uhl, Andreas Vécsei
Distortion Adaptive Image Classification - An Alternative to Barrel-Type Distortion Correction. ISVC (2) (2013)
Michael Gadermayr, Andreas Uhl, Andreas Vécsei
Barrel-Type Distortion Compensated Fourier Feature Extraction. ISVC (1) (2013)
Michael Gadermayr, Michael Liedlgruber, Andreas Uhl, Andreas Vécsei
Evaluation of different distortion correction methods and interpolation techniques for an automated classification of celiac disease. Comput. Methods Programs Biomed. 112 (3) (2013)
Michael Gadermayr, Andreas Maier, Andreas Uhl
Active contours methods with respect to Vickers indentations. Mach. Vis. Appl. 24 (6) (2013)
Michael Gadermayr, Michael Liedlgruber, Andreas Uhl, Andreas Vécsei
Problems in Distortion Corrected Texture Classification and the Impact of Scale and Interpolation. ICIAP (1) (2013)
Michael Gadermayr, Michael Liedlgruber, Andreas Uhl, Andreas Vécsei
Shape Curvature Histogram: A Shape Feature for Celiac Disease Diagnosis. MCV (2013)
Michael Gadermayr, Andreas Uhl
Dual-Resolution Active Contours Segmentation of Vickers Indentation Images with Shape Prior Initialization. ICISP (2012)
Michael Gadermayr, Andreas Maier, Andreas Uhl
The Impact of Unfocused Vickers Indentation Images on the Segmentation Performance. ISVC (2) (2012)
Michael Gadermayr, Andreas Maier, Andreas Uhl
Robust algorithm for automated microindentation measurement in Vickers hardness testing. J. Electronic Imaging 21 (2) (2012)
Michael Gadermayr, Andreas Uhl
Image Segmentation of Vickers Indentations Using Shape from Focus. ICIAR (1) (2012)