Michael Gadermayr
Orcid: 0000-0003-1450-9222
According to our database1,
Michael Gadermayr
authored at least 58 papers
between 2012 and 2024.
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Bibliography
2024
Multi-task Learning to Improve Semantic Segmentation of CBCT Scans using Image Reconstruction.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
2023
MixUp-MIL: A Study on Linear & Multilinear Interpolation-Based Data Augmentation for Whole Slide Image Classification.
CoRR, 2023
MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a Study on Thyroid Cancer Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Multiple Instance Learning for Digital Pathology: A Review on the State-of-the-Art, Limitations & Future Potential.
CoRR, 2022
Automated major psoas muscle volumetry in computed tomography using machine learning algorithms.
Int. J. Comput. Assist. Radiol. Surg., 2022
Evaluation of Multi-Scale Multiple Instance Learning to Improve Thyroid Cancer Classification.
Proceedings of the Eleventh International Conference on Image Processing Theory, 2022
2021
Comput. Biol. Medicine, 2021
Frozen-to-Paraffin: Categorization of Histological Frozen Sections by the Aid of Paraffin Sections and Generative Adversarial Networks.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2021
An Asymmetric Cycle-Consistency Loss For Dealing With Many-To-One Mappings In Image Translation: A Study On Thigh Mr Scans.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential.
Patterns, 2020
An Asymetric Cycle-Consistency Loss for Dealing with Many-to-One Mappings in Image Translation: A Study on Thigh MR Scans.
CoRR, 2020
Improving Endoscopic Decision Support Systems by Translating Between Imaging Modalities.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2020
2019
Generative Adversarial Networks for Facilitating Stain-Independent Supervised and Unsupervised Segmentation: A Study on Kidney Histology.
IEEE Trans. Medical Imaging, 2019
Comput. Medical Imaging Graph., 2019
Iterative learning to make the most of unlabeled and quickly obtained labeled data in histology.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019
Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Virtually Redying Histological Images with Generative Adversarial Networks to Facilitate Unsupervised Segmentation: A Proof-of-Concept Study.
Proceedings of the Digital Pathology - 15th European Congress, 2019
2018
Comput. Biol. Medicine, 2018
Automated classification of celiac disease during upper endoscopy: Status quo and quo vadis.
Comput. Biol. Medicine, 2018
Which Way Round? A Study on the Performance of Stain-Translation for Segmenting Arbitrarily Dyed Histological Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Stain independent segmentation of whole slide images: A case study in renal histology.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Gradual Domain Adaptation for Segmenting Whole Slide Images Showing Pathological Variability.
Proceedings of the Image and Signal Processing - 8th International Conference, 2018
2017
Comput. Biol. Medicine, 2017
Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017
A Quantitative Assessment of Image Normalization for Classifying Histopathological Tissue of the Kidney.
Proceedings of the Pattern Recognition - 39th German Conference, 2017
2016
A Feasibility Study on Automated Protein Aggregate Characterization Utilizing a Hybrid Classification Model.
Proceedings of the 6th Eurographics Workshop on Visual Computing for Biology and Medicine, 2016
Evaluation of i-Scan Virtual Chromoendoscopy and Traditional Chromoendoscopy for the Automated Diagnosis of Colonic Polyps.
Proceedings of the Computer-Assisted and Robotic Endoscopy - Third International Workshop, 2016
Do We Need Large Annotated Training Data for Detection Applications in Biomedical Imaging? A Case Study in Renal Glomeruli Detection.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
Narrow band imaging versus white-light: What is best for computer-assisted diagnosis of celiac disease?
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Proceedings of the Sixth International Conference on Image Processing Theory, 2016
Domain Adaptive Classification for Compensating Variability in Histopathological Whole Slide Images.
Proceedings of the Image Analysis and Recognition - 13th International Conference, 2016
2015
Proceedings of the Image Analysis - 19th Scandinavian Conference, 2015
Comparing endoscopic imaging configurations in computer-aided celiac disease diagnosis.
Proceedings of the 2015 International Conference on Image Processing Theory, 2015
How to exploit large image data in the fields of texture classification: A case study with local binary patterns.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Dealing with Intra-Class and Intra-Image Variations in Automatic Celiac Disease Diagnosis.
Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015
2014
Proceedings of the 4th International Conference on Image Processing Theory, 2014
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Is a Precise Distortion Estimation Needed for Computer Aided Celiac Disease Diagnosis?
Proceedings of the Image and Signal Processing - 6th International Conference, 2014
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Degradation Adaptive Texture Classification: A Case Study in Celiac Disease Diagnosis Brings New Insight.
Proceedings of the Image Analysis and Recognition - 11th International Conference, 2014
Proceedings of the Pattern Recognition - 36th German Conference, 2014
The Effect of Endoscopic Lens Distortion Correction on Physicians' Diagnosis Performance.
Proceedings of the Bildverarbeitung für die Medizin 2014, Algorithmen - Systeme, 2014
2013
Evaluation of different distortion correction methods and interpolation techniques for an automated classification of celiac disease.
Comput. Methods Programs Biomed., 2013
Feature Extraction with Intrinsic Distortion Correction in Celiac Disease Imagery: No Need for Rasterization.
Proceedings of the Medical Computer Vision. Large Data in Medical Imaging, 2013
Proceedings of the Medical Computer Vision. Large Data in Medical Imaging, 2013
Distortion Adaptive Image Classification - An Alternative to Barrel-Type Distortion Correction.
Proceedings of the Advances in Visual Computing - 9th International Symposium, 2013
Proceedings of the Advances in Visual Computing - 9th International Symposium, 2013
Problems in Distortion Corrected Texture Classification and the Impact of Scale and Interpolation.
Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013
2012
Robust algorithm for automated microindentation measurement in Vickers hardness testing.
J. Electronic Imaging, 2012
Proceedings of the Advances in Visual Computing - 8th International Symposium, 2012
Dual-Resolution Active Contours Segmentation of Vickers Indentation Images with Shape Prior Initialization.
Proceedings of the Image and Signal Processing - 5th International Conference, 2012
Proceedings of the Image Analysis and Recognition - 9th International Conference, 2012