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Michael Gadermayr
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2020 – today
- 2024
- [j14]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: 102337 (2024) - [c40]Maximilian Ernst Tschuchnig
Multi-task Learning to Improve Semantic Segmentation of CBCT Scans using Image Reconstruction. Bildverarbeitung für die Medizin 2024: 243-248 - [i16]Maximilian Ernst Tschuchnig, Philipp Steininger, Michael Gadermayr:
Multimodal Learning With Intraoperative CBCT & Variably Aligned Preoperative CT Data To Improve Segmentation. CoRR abs/2406.11650 (2024) - [i15]Katja Löwenstein, Johanna Rehrl, Anja Schuster, Michael Gadermayr:
Virtually Objective Quantification of in vitro Wound Healing Scratch Assays with the Segment Anything Model. CoRR abs/2407.02187 (2024) - [i14]Maximilian Ernst Tschuchnig, Philipp Steininger, Michael Gadermayr:
CBCTLiTS: A Synthetic, Paired CBCT/CT Dataset For Segmentation And Style Transfer. CoRR abs/2407.14853 (2024) - 2023
- [c39]Michael Gadermayr
MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a Study on Thyroid Cancer Diagnosis. MICCAI (6) 2023: 477-486 - [i13]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 abs/2311.03052 (2023) - [i12]Maximilian Ernst Tschuchnig, Julia Coste-Marin, Philipp Steininger, Michael Gadermayr:
Multi-task Learning To Improve Semantic Segmentation Of CBCT Scans Using Image Reconstruction. CoRR abs/2312.12990 (2023) - 2022
- [j13]Felix Duong, Michael Gadermayr
Automated major psoas muscle volumetry in computed tomography using machine learning algorithms. Int. J. Comput. Assist. Radiol. Surg. 17(2): 355-361 (2022) - [c38]Maximilian Ernst Tschuchnig
Evaluation of Multi-Scale Multiple Instance Learning to Improve Thyroid Cancer Classification. IPTA 2022: 1-6 - [i11]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 abs/2204.10942 (2022) - [i10]Michael Gadermayr, Maximilian Ernst Tschuchnig:
Multiple Instance Learning for Digital Pathology: A Review on the State-of-the-Art, Limitations & Future Potential. CoRR abs/2206.04425 (2022) - [i9]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 abs/2211.05862 (2022) - 2021
- [j12]Maximilian Ernst Tschuchnig
Quantification of anomalies in rats' spinal cords using autoencoders. Comput. Biol. Medicine 138: 104939 (2021) - [c37]Michael Gadermayr
An Asymmetric Cycle-Consistency Loss For Dealing With Many-To-One Mappings In Image Translation: A Study On Thigh Mr Scans. ISBI 2021: 1182-1186 - [c36]Michael Gadermayr
Frozen-to-Paraffin: Categorization of Histological Frozen Sections by the Aid of Paraffin Sections and Generative Adversarial Networks. SASHIMI@MICCAI 2021: 99-109 - [i8]Maximilian Ernst Tschuchnig, Michael Gadermayr:
Anomaly Detection in Medical Imaging - A Mini Review. CoRR abs/2108.11986 (2021) - [i7]Martin Uray
Beyond Desktop Computation: Challenges in Scaling a GPU Infrastructure. CoRR abs/2110.05156 (2021) - 2020
- [j11]Maximilian Ernst Tschuchnig
Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential. Patterns 1(6): 100089 (2020) - [j10]Maximilian Ernst Tschuchnig, Gertie Janneke Oostingh
Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential. Patterns 1(8): 100144 (2020) - [c35]Georg Wimmer, Michael Gadermayr
Improving Endoscopic Decision Support Systems by Translating Between Imaging Modalities. SASHIMI@MICCAI 2020: 131-141 - [i6]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 abs/2004.11001 (2020) - [i5]Georg Wimmer, Michael Gadermayr, Andreas Vécsei, Andreas Uhl:
Improving Endoscopic Decision Support Systems by Translating Between Imaging Modalities. CoRR abs/2004.12604 (2020) - [i4]Maximilian Ernst Tschuchnig, Gertie Janneke Oostingh, Michael Gadermayr:
Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential. CoRR abs/2004.14936 (2020) - [i3]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 abs/2012.08158 (2020)
2010 – 2019
- 2019
- [j9]Michael Gadermayr
CNN cascades for segmenting sparse objects in gigapixel whole slide images. Comput. Medical Imaging Graph. 71: 40-48 (2019) - [j8]Michael Gadermayr
Generative Adversarial Networks for Facilitating Stain-Independent Supervised and Unsupervised Segmentation: A Study on Kidney Histology. IEEE Trans. Medical Imaging 38(10): 2293-2302 (2019) - [c34]Michael Gadermayr
Virtually Redying Histological Images with Generative Adversarial Networks to Facilitate Unsupervised Segmentation: A Proof-of-Concept Study. ECDP 2019: 38-46 - [c33]Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof, Michael Gadermayr
GAN-Based Image Enrichment in Digital Pathology Boosts Segmentation Accuracy. MICCAI (1) 2019: 631-639 - [c32]Michael Gadermayr, Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof:
Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations. MIDL 2019: 175-184 - [c31]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: 215-224 - 2018
- [j7]Michael Gadermayr
Automated classification of celiac disease during upper endoscopy: Status quo and quo vadis. Comput. Biol. Medicine 102: 221-226 (2018) - [j6]Georg Wimmer, Michael Gadermayr, Roland Kwitt
Training of polyp staging systems using mixed imaging modalities. Comput. Biol. Medicine 102: 251-259 (2018) - [c30]Michael Gadermayr
Gradual Domain Adaptation for Segmenting Whole Slide Images Showing Pathological Variability. ICISP 2018: 461-469 - [c29]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: 1360-1364 - [c28]Michael Gadermayr
Which Way Round? A Study on the Performance of Stain-Translation for Segmenting Arbitrarily Dyed Histological Images. MICCAI (2) 2018: 165-173 - [i2]Michael Gadermayr, Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof:
Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations. CoRR abs/1805.10059 (2018) - 2017
- [j5]Michael Gadermayr
Segmenting renal whole slide images virtually without training data. Comput. Biol. Medicine 90: 88-97 (2017) - [c27]Michael Gadermayr
A Quantitative Assessment of Image Normalization for Classifying Histopathological Tissue of the Kidney. GCPR 2017: 3-13 - [c26]Michael Gadermayr
Fully-Automated CNN-Based Computer Aided Celiac Disease Diagnosis. ICIAP (2) 2017: 467-478 - [i1]Michael Gadermayr, Ann-Kathrin Dombrowski, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof:
CNN Cascades for Segmenting Whole Slide Images of the Kidney. CoRR abs/1708.00251 (2017) - 2016
- [j4]Michael Gadermayr
Making texture descriptors invariant to blur. EURASIP J. Image Video Process. 2016: 14 (2016) - [c25]Michael Gadermayr
Domain Adaptive Classification for Compensating Variability in Histopathological Whole Slide Images. ICIAR 2016: 616-622 - [c24]Michael Gadermayr
Incorporating human knowledge in automated celiac disease diagnosis. IPTA 2016: 1-6 - [c23]Michael Gadermayr
Narrow band imaging versus white-light: What is best for computer-assisted diagnosis of celiac disease? ISBI 2016: 355-359 - [c22]Michael Gadermayr
Do We Need Large Annotated Training Data for Detection Applications in Biomedical Imaging? A Case Study in Renal Glomeruli Detection. MLMI@MICCAI 2016: 18-26 - [c21]Georg Wimmer, Michael Gadermayr, Roland Kwitt
Evaluation of i-Scan Virtual Chromoendoscopy and Traditional Chromoendoscopy for the Automated Diagnosis of Colonic Polyps. CARE@MICCAI 2016: 59-71 - [c20]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: 105-109 - 2015
- [c19]Michael Gadermayr
Dealing with Intra-Class and Intra-Image Variations in Automatic Celiac Disease Diagnosis. Bildverarbeitung für die Medizin 2015: 461-466 - [c18]Michael Gadermayr
How to exploit large image data in the fields of texture classification: A case study with local binary patterns. ICIP 2015: 2515-2519 - [c17]Michael Gadermayr
Comparing endoscopic imaging configurations in computer-aided celiac disease diagnosis. IPTA 2015: 446-451 - [c16]Michael Gadermayr
Boosting Small-Data Performance of LBP: A Case Study in Celiac Disease Diagnosis. SCIA 2015: 224-233 - 2014
- [c15]Michael Gadermayr
The Effect of Endoscopic Lens Distortion Correction on Physicians' Diagnosis Performance. Bildverarbeitung für die Medizin 2014: 174-179 - [c14]Michael Gadermayr
Quality Based Information Fusion in Fully Automatized Celiac Disease Diagnosis. GCPR 2014: 666-677 - [c13]Michael Gadermayr
Degradation Adaptive Texture Classification: A Case Study in Celiac Disease Diagnosis Brings New Insight. ICIAR (2) 2014: 263-273 - [c12]Michael Gadermayr
Degradation adaptive texture classification. ICIP 2014: 2759-2763 - [c11]Michael Gadermayr
Is a Precise Distortion Estimation Needed for Computer Aided Celiac Disease Diagnosis? ICISP 2014: 620-628 - [c10]Michael Gadermayr
Scale-Adaptive Texture Classification. ICPR 2014: 2643-2648 - [c9]Michael Gadermayr
Getting one step closer to fully automatized celiac disease diagnosis. IPTA 2014: 13-17 - 2013
- [j3]Michael Gadermayr, Michael Liedlgruber
Evaluation of different distortion correction methods and interpolation techniques for an automated classification of celiac disease. Comput. Methods Programs Biomed. 112(3): 694-712 (2013) - [j2]Michael Gadermayr
Active contours methods with respect to Vickers indentations. Mach. Vis. Appl. 24(6): 1183-1196 (2013) - [c8]Michael Gadermayr, Michael Liedlgruber
Problems in Distortion Corrected Texture Classification and the Impact of Scale and Interpolation. ICIAP (1) 2013: 513-522 - [c7]Michael Gadermayr
Barrel-Type Distortion Compensated Fourier Feature Extraction. ISVC (1) 2013: 50-59 - [c6]Michael Gadermayr
Distortion Adaptive Image Classification - An Alternative to Barrel-Type Distortion Correction. ISVC (2) 2013: 465-474 - [c5]Michael Gadermayr, Michael Liedlgruber
Shape Curvature Histogram: A Shape Feature for Celiac Disease Diagnosis. MCV 2013: 175-184 - [c4]Michael Gadermayr
Feature Extraction with Intrinsic Distortion Correction in Celiac Disease Imagery: No Need for Rasterization. MCV 2013: 196-204 - 2012
- [j1]Michael Gadermayr
Robust algorithm for automated microindentation measurement in Vickers hardness testing. J. Electronic Imaging 21(2): 021109 (2012) - [c3]Michael Gadermayr
Image Segmentation of Vickers Indentations Using Shape from Focus. ICIAR (1) 2012: 149-157 - [c2]Michael Gadermayr
Dual-Resolution Active Contours Segmentation of Vickers Indentation Images with Shape Prior Initialization. ICISP 2012: 362-369 - [c1]Michael Gadermayr
The Impact of Unfocused Vickers Indentation Images on the Segmentation Performance. ISVC (2) 2012: 468-478
Coauthor Index
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last updated on 2024-10-07 21:22 CEST by the dblp team
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