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Maximilian Ernst Tschuchnig
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2020 – today
- 2024
- [j4]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) - [c8]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: 243-248 - [i13]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) - [i12]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
- [c7]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: 477-486 - [i11]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) - [i10]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
- [c6]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: 1-6 - [i9]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) - [i8]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) - [i7]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
- [j3]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: 104939 (2021) - [c5]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: 1182-1186 - [c4]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: 99-109 - [i6]Maximilian Ernst Tschuchnig, Cornelia Ferner, Stefan Wegenkittl:
Sequential IoT Data Augmentation using Generative Adversarial Networks. CoRR abs/2101.05003 (2021) - [i5]Maximilian Ernst Tschuchnig, Dejan Radovanovic, Eduard Hirsch, Anna-Maria Oberluggauer, Georg Schäfer:
Immutable and Democratic Data in permissionless Peer-to-Peer Systems. CoRR abs/2101.05037 (2021) - [i4]Maximilian Ernst Tschuchnig, Michael Gadermayr:
Anomaly Detection in Medical Imaging - A Mini Review. CoRR abs/2108.11986 (2021) - 2020
- [j2]Maximilian Ernst Tschuchnig, Gertie Janneke Oostingh, Michael Gadermayr:
Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential. Patterns 1(6): 100089 (2020) - [j1]Maximilian Ernst Tschuchnig, Gertie Janneke Oostingh, Michael Gadermayr:
Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential. Patterns 1(8): 100144 (2020) - [c3]Petra Unterberger, Manfred Mayr, Maximilian Ernst Tschuchnig, Peter Haber:
A Commons-compatible Implementation of the Sharing Economy: Blockchain-based Open Source Mediation. FEMIB 2020: 72-79 - [c2]Maximilian Ernst Tschuchnig, Cornelia Ferner, Stefan Wegenkittl:
Sequential IoT Data Augmentation Using Generative Adversarial Networks. ICASSP 2020: 4212-4216 - [i3]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) - [i2]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) - [i1]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
- [c1]Maximilian Ernst Tschuchnig, Dejan Radovanovic, Eduard Hirsch, Anna-Maria Oberluggauer, Georg Schäfer:
Immutable and Democratic Data in Permissionless Peer-to-Peer Systems. SDS 2019: 294-299
Coauthor Index
aka: Sébastien Couillard-Després
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last updated on 2024-10-07 22:19 CEST by the dblp team
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