Michael Gadermayr

79 papers B 3C 3Journal 34Unranked 39

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Enhancing Synthetic CT from CBCT via Multimodal Fusion and End-To-End Registration. CAIP (2) Maximilian Ernst Tschuchnig, Lukas Lamminger, Philipp Steininger, Michael Gadermayr
2025	J	`jnl`	Enhancing Synthetic CT from CBCT via Multimodal Fusion and End-To-End Registration. CoRR Maximilian Ernst Tschuchnig, Lukas Lamminger, Philipp Steininger, Michael Gadermayr
2025	J	`jnl`	Enhancing Synthetic CT from CBCT via Multimodal Fusion: A Study on the Impact of CBCT Quality and Alignment. CoRR Maximilian Ernst Tschuchnig, Lukas Lamminger, Philipp Steininger, Michael Gadermayr
2025	—	`conf`	Hybrid Deep Learning and Handcrafted Feature Fusion for Mammographic Breast Cancer Classification. IPTA Maximilian Ernst Tschuchnig, Michael Gadermayr, Khalifa Djemal
2025	J	`jnl`	Hybrid Deep Learning and Handcrafted Feature Fusion for Mammographic Breast Cancer Classification. CoRR Maximilian Ernst Tschuchnig, Michael Gadermayr, Khalifa Djemal
2025	—	`conf`	Improving Segmentation by Combining Preoperative CT and Intraoperative CBCT using Synthetic Data. Bildverarbeitung für die Medizin Maximilian Ernst Tschuchnig, Philipp Steininger, Michael Gadermayr
2024	—	`conf`	CBCTLiTS: A Synthetic, Paired CBCT/CT Dataset For Segmentation And Style Transfer. VCBM Maximilian Ernst Tschuchnig, Philipp Steininger, Michael Gadermayr
2024	J	`jnl`	CBCTLiTS: A Synthetic, Paired CBCT/CT Dataset For Segmentation And Style Transfer. CoRR Maximilian Ernst Tschuchnig, Philipp Steininger, Michael Gadermayr
2024	J	`jnl`	Initial Study On Improving Segmentation By Combining Preoperative CT And Intraoperative CBCT Using Synthetic Data. CoRR Maximilian Ernst Tschuchnig, Philipp Steininger, Michael Gadermayr
2024	—	`conf`	Multi-task Learning to Improve Semantic Segmentation of CBCT Scans using Image Reconstruction. Bildverarbeitung für die Medizin Maximilian Ernst Tschuchnig, Julia Coste-Marin, Philipp Steininger, Michael Gadermayr
2024	J	`jnl`	Multimodal Learning With Intraoperative CBCT & Variably Aligned Preoperative CT Data To Improve Segmentation. CoRR Maximilian Ernst Tschuchnig, Philipp Steininger, Michael Gadermayr
2024	J	`jnl`	Multiple instance learning for digital pathology: A review of the state-of-the-art, limitations & future potential. Comput. Medical Imaging Graph. Michael Gadermayr, Maximilian Ernst Tschuchnig
2024	—	`conf`	Virtually Objective Quantification of in vitro Wound Healing Scratch Assays with the Segment Anything Model. VCBM Katja Löwenstein, Johanna Rehrl, Anja Schuster, Michael Gadermayr
2024	J	`jnl`	Virtually Objective Quantification of in vitro Wound Healing Scratch Assays with the Segment Anything Model. CoRR Katja Löwenstein, Johanna Rehrl, Anja Schuster, Michael Gadermayr
2023	J	`jnl`	MixUp-MIL: A Study on Linear & Multilinear Interpolation-Based Data Augmentation for Whole Slide Image Classification. CoRR Michael Gadermayr, Lukas Koller, Maximilian Ernst Tschuchnig, Lea Maria Stangassinger, Christina Kreutzer, Sebastien Couillard-Despres, Gertie Janneke Oostingh, Anton Hittmair
2023	—	`conf`	MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a Study on Thyroid Cancer Diagnosis. MICCAI (6) Michael Gadermayr, Lukas Koller, Maximilian Ernst Tschuchnig, Lea Maria Stangassinger, Christina Kreutzer, Sebastien Couillard-Despres, Gertie Janneke Oostingh, Anton Hittmair
2023	J	`jnl`	Multi-task Learning To Improve Semantic Segmentation Of CBCT Scans Using Image Reconstruction. CoRR Maximilian Ernst Tschuchnig, Julia Coste-Marin, Philipp Steininger, Michael Gadermayr
2022	J	`jnl`	Automated major psoas muscle volumetry in computed tomography using machine learning algorithms. Int. J. Comput. Assist. Radiol. Surg. Felix Duong, Michael Gadermayr, Dorit Merhof, Christiane Kuhl, Philipp Bruners, Sven H. Loosen, Christoph Roderburg, Daniel Truhn, Maximilian F. Schulze-Hagen
2022	—	`conf`	Evaluation of Multi-Scale Multiple Instance Learning to Improve Thyroid Cancer Classification. IPTA Maximilian Ernst Tschuchnig, Philipp Grubmüller, Lea Maria Stangassinger, Christina Kreutzer, Sebastien Couillard-Despres, Gertie Janneke Oostingh, Anton Hittmair, Michael Gadermayr
2022	J	`jnl`	Evaluation of Multi-Scale Multiple Instance Learning to Improve Thyroid Cancer Classification. CoRR Maximilian Ernst Tschuchnig, Philipp Grubmüller, Lea Maria Stangassinger, Christina Kreutzer, Sébastien Couillard-Després, Gertie Janneke Oostingh, Anton Hittmair, Michael Gadermayr
2022	J	`jnl`	MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a Study on Thyroid Cancer Diagnosis. CoRR Michael Gadermayr, Lukas Koller, Maximilian Ernst Tschuchnig, Lea Maria Stangassinger, Christina Kreutzer, Sebastien Couillard-Despres, Gertie Janneke Oostingh, Anton Hittmair
2022	J	`jnl`	Multiple Instance Learning for Digital Pathology: A Review on the State-of-the-Art, Limitations & Future Potential. CoRR Michael Gadermayr, Maximilian Ernst Tschuchnig
2021	—	`conf`	An Asymmetric Cycle-Consistency Loss For Dealing With Many-To-One Mappings In Image Translation: A Study On Thigh Mr Scans. ISBI Michael Gadermayr, Maximilian Ernst Tschuchnig, Laxmi Gupta, Nils Krämer, Daniel Truhn, Dorit Merhof, Burkhard Gess
2021	J	`jnl`	Anomaly Detection in Medical Imaging - A Mini Review. CoRR Maximilian Ernst Tschuchnig, Michael Gadermayr
2021	J	`jnl`	Beyond Desktop Computation: Challenges in Scaling a GPU Infrastructure. CoRR Martin Uray, Eduard Hirsch, Gerold Katzinger, Michael Gadermayr
2021	—	`conf`	Frozen-to-Paraffin: Categorization of Histological Frozen Sections by the Aid of Paraffin Sections and Generative Adversarial Networks. SASHIMI@MICCAI Michael Gadermayr, Maximilian Ernst Tschuchnig, Lea Maria Stangassinger, Christina Kreutzer, Sebastien Couillard-Despres, Gertie Janneke Oostingh, Anton Hittmair
2021	J	`jnl`	Quantification of anomalies in rats' spinal cords using autoencoders. Comput. Biol. Medicine Maximilian Ernst Tschuchnig, Dominic Zillner, Pasquale Romanelli, David Hercher, Patrick Heimel, Gertie Janneke Oostingh, Sebastien Couillard-Despres, Michael Gadermayr
2020	J	`jnl`	An Asymetric Cycle-Consistency Loss for Dealing with Many-to-One Mappings in Image Translation: A Study on Thigh MR Scans. CoRR Michael Gadermayr, Maximilian Ernst Tschuchnig, Dorit Merhof, Nils Krämer, Daniel Truhn, Burkhard Gess
2020	J	`jnl`	Frozen-to-Paraffin: Categorization of Histological Frozen Sections by the Aid of Paraffin Sections and Generative Adversarial Networks. CoRR Michael Gadermayr, Maximilian Ernst Tschuchnig, Lea Maria Stangassinger, Christina Kreutzer, Sebastien Couillard-Despres, Gertie Janneke Oostingh, Anton Hittmair
2020	J	`jnl`	Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential. CoRR Maximilian Ernst Tschuchnig, Gertie Janneke Oostingh, Michael Gadermayr
2020	J	`jnl`	Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential. Patterns Maximilian Ernst Tschuchnig, Gertie Janneke Oostingh, Michael Gadermayr
2020	J	`jnl`	Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential. Patterns Maximilian Ernst Tschuchnig, Gertie Janneke Oostingh, Michael Gadermayr
2020	—	`conf`	Improving Endoscopic Decision Support Systems by Translating Between Imaging Modalities. SASHIMI@MICCAI Georg Wimmer, Michael Gadermayr, Andreas Vécsei, Andreas Uhl
2020	J	`jnl`	Improving Endoscopic Decision Support Systems by Translating Between Imaging Modalities. CoRR Georg Wimmer, Michael Gadermayr, Andreas Vécsei, Andreas Uhl
2019	J	`jnl`	CNN cascades for segmenting sparse objects in gigapixel whole slide images. Comput. Medical Imaging Graph. Michael Gadermayr, Ann-Kathrin Dombrowski, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof
2019	—	`conf`	GAN-Based Image Enrichment in Digital Pathology Boosts Segmentation Accuracy. MICCAI (1) Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof, Michael Gadermayr
2019	J	`jnl`	Generative Adversarial Networks for Facilitating Stain-Independent Supervised and Unsupervised Segmentation: A Study on Kidney Histology. IEEE Trans. Medical Imaging Michael Gadermayr, Laxmi Gupta, Vitus Appel, Peter Boor, Barbara Mara Klinkhammer, Dorit Merhof
2019	—	`conf`	Iterative learning to make the most of unlabeled and quickly obtained labeled data in histology. MIDL Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof, Michael Gadermayr
2019	—	`conf`	Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations. MIDL Michael Gadermayr, Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof
2019	—	`conf`	Virtually Redying Histological Images with Generative Adversarial Networks to Facilitate Unsupervised Segmentation: A Proof-of-Concept Study. ECDP Michael Gadermayr, Barbara Mara Klinkhammer, Peter Boor
2018	J	`jnl`	Automated classification of celiac disease during upper endoscopy: Status quo and quo vadis. Comput. Biol. Medicine Michael Gadermayr, Georg Wimmer, Hubert Kogler, Andreas Vécsei, Dorit Merhof, Andreas Uhl
2018	C	`conf`	Gradual Domain Adaptation for Segmenting Whole Slide Images Showing Pathological Variability. ICISP Michael Gadermayr, Dennis Eschweiler, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof
2018	—	`conf`	Stain independent segmentation of whole slide images: A case study in renal histology. ISBI Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof, Michael Gadermayr
2018	J	`jnl`	Training of polyp staging systems using mixed imaging modalities. Comput. Biol. Medicine Georg Wimmer, Michael Gadermayr, Roland Kwitt, Michael Häfner, Toru Tamaki, Shigeto Yoshida, Shinji Tanaka, Dorit Merhof, Andreas Uhl
2018	J	`jnl`	Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations. CoRR Michael Gadermayr, Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof
2018	—	`conf`	Which Way Round? A Study on the Performance of Stain-Translation for Segmenting Arbitrarily Dyed Histological Images. MICCAI (2) Michael Gadermayr, Vitus Appel, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof
2017	—	`conf`	A Quantitative Assessment of Image Normalization for Classifying Histopathological Tissue of the Kidney. GCPR Michael Gadermayr, Sean Steven Cooper, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof
2017	J	`jnl`	CNN Cascades for Segmenting Whole Slide Images of the Kidney. CoRR Michael Gadermayr, Ann-Kathrin Dombrowski, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof
2017	—	`conf`	Fully-Automated CNN-Based Computer Aided Celiac Disease Diagnosis. ICIAP (2) Michael Gadermayr, Georg Wimmer, Andreas Uhl, Hubert Kogler, Andreas Vécsei, Dorit Merhof
2017	J	`jnl`	Segmenting renal whole slide images virtually without training data. Comput. Biol. Medicine Michael Gadermayr, Dennis Eschweiler, Abiramjee Jeevanesan, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof
2016	—	`conf`	A Feasibility Study on Automated Protein Aggregate Characterization Utilizing a Hybrid Classification Model. VCBM/MedViz Dennis Eschweiler, Michael Gadermayr, Jakob Unger, Markus Nippold, Björn Falkenburger, Dorit Merhof
2016	—	`conf`	Do We Need Large Annotated Training Data for Detection Applications in Biomedical Imaging? A Case Study in Renal Glomeruli Detection. MLMI@MICCAI Michael Gadermayr, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof
2016	—	`conf`	Domain Adaptive Classification for Compensating Variability in Histopathological Whole Slide Images. ICIAR Michael Gadermayr, Martin Strauch, Barbara Mara Klinkhammer, Sonja Djudjaj, Peter Boor, Dorit Merhof
2016	—	`conf`	Evaluation of i-Scan Virtual Chromoendoscopy and Traditional Chromoendoscopy for the Automated Diagnosis of Colonic Polyps. CARE@MICCAI Georg Wimmer, Michael Gadermayr, Roland Kwitt, Michael Häfner, Dorit Merhof, Andreas Uhl
2016	—	`conf`	Incorporating human knowledge in automated celiac disease diagnosis. IPTA Michael Gadermayr, Hubert Kogler, Maximilian Karla, Andreas Vécsei, Andreas Uhl, Dorit Merhof
2016	J	`jnl`	Making texture descriptors invariant to blur. EURASIP J. Image Video Process. Michael Gadermayr, Andreas Uhl
2016	—	`conf`	Narrow band imaging versus white-light: What is best for computer-assisted diagnosis of celiac disease? ISBI Michael Gadermayr, Sebastian Hegenbart, Roland Kwitt, Andreas Uhl, Andreas Vécsei
2015	—	`conf`	Boosting Small-Data Performance of LBP: A Case Study in Celiac Disease Diagnosis. SCIA Michael Gadermayr, Andreas Uhl, Andreas Vécsei
2015	—	`conf`	Comparing endoscopic imaging configurations in computer-aided celiac disease diagnosis. IPTA Michael Gadermayr, Hubert Kogler, Andreas Uhl, Andreas Vécsei
2015	—	`conf`	Dealing with Intra-Class and Intra-Image Variations in Automatic Celiac Disease Diagnosis. Bildverarbeitung für die Medizin Michael Gadermayr, Andreas Uhl, Andreas Vécsei
2015	B	`conf`	How to exploit large image data in the fields of texture classification: A case study with local binary patterns. ICIP Michael Gadermayr, Andreas Uhl
2014	—	`conf`	Degradation Adaptive Texture Classification: A Case Study in Celiac Disease Diagnosis Brings New Insight. ICIAR (2) Michael Gadermayr, Andreas Uhl, Andreas Vécsei
2014	B	`conf`	Degradation adaptive texture classification. ICIP Michael Gadermayr, Andreas Uhl
2014	—	`conf`	Getting one step closer to fully automatized celiac disease diagnosis. IPTA Michael Gadermayr, Andreas Uhl, Andreas Vécsei
2014	C	`conf`	Is a Precise Distortion Estimation Needed for Computer Aided Celiac Disease Diagnosis? ICISP Michael Gadermayr, Andreas Uhl, Andreas Vécsei
2014	—	`conf`	Quality Based Information Fusion in Fully Automatized Celiac Disease Diagnosis. GCPR Michael Gadermayr, Andreas Uhl, Andreas Vécsei
2014	B	`conf`	Scale-Adaptive Texture Classification. ICPR Michael Gadermayr, Sebastian Hegenbart, Andreas Uhl
2014	—	`conf`	The Effect of Endoscopic Lens Distortion Correction on Physicians' Diagnosis Performance. Bildverarbeitung für die Medizin Michael Gadermayr, Andreas Uhl, Andreas Vécsei
2013	J	`jnl`	Active contours methods with respect to Vickers indentations. Mach. Vis. Appl. Michael Gadermayr, Andreas Maier, Andreas Uhl
2013	—	`conf`	Barrel-Type Distortion Compensated Fourier Feature Extraction. ISVC (1) Michael Gadermayr, Andreas Uhl, Andreas Vécsei
2013	—	`conf`	Distortion Adaptive Image Classification - An Alternative to Barrel-Type Distortion Correction. ISVC (2) Michael Gadermayr, Andreas Uhl, Andreas Vécsei
2013	J	`jnl`	Evaluation of different distortion correction methods and interpolation techniques for an automated classification of celiac disease. Comput. Methods Programs Biomed. Michael Gadermayr, Michael Liedlgruber, Andreas Uhl, Andreas Vécsei
2013	—	`conf`	Feature Extraction with Intrinsic Distortion Correction in Celiac Disease Imagery: No Need for Rasterization. MCV Michael Gadermayr, Andreas Uhl, Andreas Vécsei
2013	—	`conf`	Problems in Distortion Corrected Texture Classification and the Impact of Scale and Interpolation. ICIAP (1) Michael Gadermayr, Michael Liedlgruber, Andreas Uhl, Andreas Vécsei
2013	—	`conf`	Shape Curvature Histogram: A Shape Feature for Celiac Disease Diagnosis. MCV Michael Gadermayr, Michael Liedlgruber, Andreas Uhl, Andreas Vécsei
2012	C	`conf`	Dual-Resolution Active Contours Segmentation of Vickers Indentation Images with Shape Prior Initialization. ICISP Michael Gadermayr, Andreas Uhl
2012	—	`conf`	Image Segmentation of Vickers Indentations Using Shape from Focus. ICIAR (1) Michael Gadermayr, Andreas Uhl
2012	J	`jnl`	Robust algorithm for automated microindentation measurement in Vickers hardness testing. J. Electronic Imaging Michael Gadermayr, Andreas Maier, Andreas Uhl
2012	—	`conf`	The Impact of Unfocused Vickers Indentation Images on the Segmentation Performance. ISVC (2) Michael Gadermayr, Andreas Maier, Andreas Uhl