Michael Gadermayr

发表

Is a Precise Distortion Estimation Needed for Computer Aided Celiac Disease Diagnosis?

Michael Gadermayr, Andreas Uhl, Andreas Vécsei, 2014, ICISP.

Narrow band imaging versus white-light: What is best for computer-assisted diagnosis of celiac disease?

Michael Gadermayr, Andreas Uhl, Andreas Vécsei, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Scale-Adaptive Texture Classification

Michael Gadermayr, Andreas Uhl, Sebastian Hegenbart, 2014, 2014 22nd International Conference on Pattern Recognition.

Dual-Resolution Active Contours Segmentation of Vickers Indentation Images with Shape Prior Initialization

Michael Gadermayr, Andreas Uhl, A. Uhl, 2012, ICISP.

Evaluation of i-Scan Virtual Chromoendoscopy and Traditional Chromoendoscopy for the Automated Diagnosis of Colonic Polyps

Michael Gadermayr, Andreas Uhl, Dorit Merhof, 2016, CARE@MICCAI.

Virtually Redying Histological Images with Generative Adversarial Networks to Facilitate Unsupervised Segmentation: A Proof-of-Concept Study

Michael Gadermayr, Barbara Mara Klinkhammer, Peter Boor, 2019, ECDP.

Shape Curvature Histogram: A Shape Feature for Celiac Disease Diagnosis

Michael Gadermayr, Andreas Uhl, Andreas Vécsei, 2013, MCV.

Domain Adaptive Classification for Compensating Variability in Histopathological Whole Slide Images

Michael Gadermayr, Dorit Merhof, Martin Strauch, 2016, ICIAR.

The Impact of Unfocused Vickers Indentation Images on the Segmentation Performance

Michael Gadermayr, Andreas Uhl, Andreas Maier, 2012, ISVC.

Problems in Distortion Corrected Texture Classification and the Impact of Scale and Interpolation

Michael Gadermayr, Andreas Uhl, Andreas Vécsei, 2013, ICIAP.

Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations pdf

Michael Gadermayr, Dorit Merhof, Barbara Mara Klinkhammer, 2018, MIDL.

Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential

Michael Gadermayr, Maximilian Ernst Tschuchnig, Gertie Janneke Oostingh, 2020, Patterns.

Do We Need Large Annotated Training Data for Detection Applications in Biomedical Imaging? A Case Study in Renal Glomeruli Detection

Michael Gadermayr, Dorit Merhof, Barbara Mara Klinkhammer, 2016, MLMI@MICCAI.

Segmenting renal whole slide images virtually without training data

Michael Gadermayr, Dorit Merhof, Dennis Eschweiler, 2017, Comput. Biol. Medicine.

Automated classification of celiac disease during upper endoscopy: Status quo and quo vadis

Michael Gadermayr, Andreas Uhl, Andreas Vécsei, 2018, Comput. Biol. Medicine.

Active contours methods with respect to Vickers indentations

Michael Gadermayr, Andreas Uhl, Andreas Maier, 2013, Machine Vision and Applications.

Getting one step closer to fully automatized celiac disease diagnosis

Michael Gadermayr, Andreas Uhl, Andreas Vécsei, 2014, 2014 4th International Conference on Image Processing Theory, Tools and Applications (IPTA).

Barrel-Type Distortion Compensated Fourier Feature Extraction

Michael Gadermayr, Andreas Uhl, Andreas Vécsei, 2013, ISVC.

SEMI-AUTOMATIC CLASSIFICATION OF HISTOPATHOLOGICAL IMAGES: DEALING WITH INTER-SLIDE VARIATIONS

Michael Gadermayr, Dorit Merhof, Martin Strauch, 2016 .

Robust algorithm for automated microindentation measurement in Vickers hardness testing

Michael Gadermayr, Andreas Uhl, Andreas Maier, 2012, J. Electronic Imaging.

CNN Cascades for Segmenting Whole Slide Images of the Kidney pdf

Michael Gadermayr, Dorit Merhof, Barbara Mara Klinkhammer, 2017, Comput. Medical Imaging Graph..

Which Way Round? A Study on the Performance of Stain-Translation for Segmenting Arbitrarily Dyed Histological Images

Michael Gadermayr, Dorit Merhof, Barbara Mara Klinkhammer, 2018, MICCAI.

Iterative learning to make the most of unlabeled and quickly obtained labeled data in histology

Michael Gadermayr, Dorit Merhof, Barbara Mara Klinkhammer, 2018, MIDL.

Quality Based Information Fusion in Fully Automatized Celiac Disease Diagnosis

Michael Gadermayr, Andreas Uhl, Andreas Vécsei, 2014, GCPR.

Incorporating human knowledge in automated celiac disease diagnosis

Michael Gadermayr, Andreas Uhl, Andreas Vécsei, 2016, 2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA).

A Quantitative Assessment of Image Normalization for Classifying Histopathological Tissue of the Kidney

Michael Gadermayr, Dorit Merhof, Barbara Mara Klinkhammer, 2017, GCPR.

Boosting Small-Data Performance of LBP: A Case Study in Celiac Disease Diagnosis

Michael Gadermayr, Andreas Uhl, Andreas Vécsei, 2015, SCIA.

Degradation Adaptive Texture Classification: A Case Study in Celiac Disease Diagnosis Brings New Insight

Michael Gadermayr, Andreas Uhl, Andreas Vécsei, 2014, ICIAR.

Gradual Domain Adaptation for Segmenting Whole Slide Images Showing Pathological Variability

Michael Gadermayr, Dorit Merhof, Dennis Eschweiler, 2018, ICISP.

Generative Adversarial Networks for Facilitating Stain-Independent Supervised and Unsupervised Segmentation: A Study on Kidney Histology

Michael Gadermayr, Dorit Merhof, Peter Boor, 2019, IEEE Transactions on Medical Imaging.

Dealing with Intra-Class and Intra-Image Variations in Automatic Celiac Disease Diagnosis

Michael Gadermayr, Andreas Uhl, Andreas Vécsei, 2015, Bildverarbeitung für die Medizin.

Making texture descriptors invariant to blur

Michael Gadermayr, Andreas Uhl, A. Uhl, 2016, EURASIP Journal on Image and Video Processing.

Frozen-to-Paraffin: Categorization of Histological Frozen Sections by the Aid of Paraffin Sections and Generative Adversarial Networks pdf

Michael Gadermayr, Gertie Janneke Oostingh, Maximilian Tschuchnig, 2020, ArXiv.

CNN cascades for segmenting sparse objects in gigapixel whole slide images

Michael Gadermayr, Dorit Merhof, Barbara Mara Klinkhammer, 2019, Comput. Medical Imaging Graph..

Distortion Adaptive Image Classification - An Alternative to Barrel-Type Distortion Correction

Michael Gadermayr, Andreas Uhl, Andreas Vécsei, 2013, ISVC.

Algorithms for microindentation measurement in automated Vickers hardness testing

Michael Gadermayr, Andreas Uhl, Andreas Maier, 2011, International Conference on Quality Control by Artificial Vision.

An Asymetric Cycle-Consistency Loss for Dealing with Many-to-One Mappings in Image Translation: A Study on Thigh MR Scans pdf

Michael Gadermayr, Dorit Merhof, Daniel Truhn, 2020, ArXiv.

Image Segmentation of Vickers Indentations Using Shape from Focus

Michael Gadermayr, Andreas Uhl, 2012, ICIAR.

Domain‐specific data augmentation for segmenting MR images of fatty infiltrated human thighs with neural networks

Kexin Li, Michael Gadermayr, Dorit Merhof, 2019, Journal of magnetic resonance imaging : JMRI.

How to exploit large image data in the fields of texture classification: A case study with local binary patterns

Michael Gadermayr, Andreas Uhl, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

Training of polyp staging systems using mixed imaging modalities

Shinji Tanaka, Michael Gadermayr, Andreas Uhl, 2018, Comput. Biol. Medicine.

Degradation adaptive texture classification

Michael Gadermayr, Andreas Uhl, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Feature Extraction with Intrinsic Distortion Correction in Celiac Disease Imagery: No Need for Rasterization

Michael Gadermayr, Andreas Uhl, Andreas Vécsei, 2013, MCV.

Stain independent segmentation of whole slide images: A case study in renal histology

Michael Gadermayr, Dorit Merhof, Barbara Mara Klinkhammer, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Evaluation of different distortion correction methods and interpolation techniques for an automated classification of celiac disease☆

Michael Gadermayr, Andreas Uhl, Andreas Vécsei, 2013, Comput. Methods Programs Biomed..

A Feasibility Study on Automated Protein Aggregate Characterization Utilizing a Hybrid Classification Model

Michael Gadermayr, Dorit Merhof, Dennis Eschweiler, 2016, VCBM/MedViz.

GAN-Based Image Enrichment in Digital Pathology Boosts Segmentation Accuracy

Michael Gadermayr, Dorit Merhof, Barbara Mara Klinkhammer, 2019, MICCAI.

The Effect of Endoscopic Lens Distortion Correction on Physicians' Diagnosis Performance

Michael Gadermayr, Andreas Uhl, Andreas Vécsei, 2014, Bildverarbeitung für die Medizin.

Fully-Automated CNN-Based Computer Aided Celiac Disease Diagnosis

Michael Gadermayr, Andreas Uhl, Andreas Vécsei, 2017, ICIAP.

Improving Endoscopic Decision Support Systems by Translating Between Imaging Modalities

Michael Gadermayr, Andreas Uhl, Georg Wimmer, 2020, SASHIMI@MICCAI.

Comparing endoscopic imaging configurations in computer-aided celiac disease diagnosis

Michael Gadermayr, Andreas Uhl, Andreas Vécsei, 2015, 2015 International Conference on Image Processing Theory, Tools and Applications (IPTA).

Quantification of anomalies in rats' spinal cords using autoencoders

Michael Gadermayr, Gertie J. Oostingh, Patrick Heimel, 2021, Comput. Biol. Medicine.

Anomaly Detection in Medical Imaging - A Mini Review pdf

Michael Gadermayr, Maximilian E. Tschuchnig, M. Gadermayr, 2021, ArXiv.

Beyond Desktop Computation: Challenges in Scaling a GPU Infrastructure pdf

Michael Gadermayr, Martin Uray, Eduard Hirsch, 2021, ArXiv.

Frozen-to-Paraffin: Categorization of Histological Frozen Sections by the Aid of Paraffin Sections and Generative Adversarial Networks

Michael Gadermayr, Gertie Janneke Oostingh, Maximilian Tschuchnig, 2021, SASHIMI@MICCAI.

An Asymmetric Cycle-Consistency Loss For Dealing With Many-To-One Mappings In Image Translation: A Study On Thigh Mr Scans

Michael Gadermayr, Dorit Merhof, Daniel Truhn, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Quest for the best endoscopic imaging modality for computer-assisted colonic polyp staging

Shinji Tanaka, Michael Gadermayr, Andreas Uhl, 2019, World journal of gastroenterology.

A comprehensive study on automated muscle segmentation for assessing fat infiltration in neuromuscular diseases.

Michael Gadermayr, Dorit Merhof, Constantin Disch, 2018, Magnetic resonance imaging.