Maximilian Ernst Tschuchnig

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 26

Top Topics

Image Classification

Multiple Instance Learning

Top Venues

Publications

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)
Maximilian Ernst Tschuchnig, Philipp Steininger, Michael Gadermayr
CBCTLiTS: A Synthetic, Paired CBCT/CT Dataset For Segmentation And Style Transfer. CoRR (2024)
Maximilian Ernst Tschuchnig, Philipp Steininger, Michael Gadermayr
Multimodal Learning With Intraoperative CBCT & Variably Aligned Preoperative CT Data To Improve Segmentation. CoRR (2024)
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 (2024)
Maximilian Ernst Tschuchnig, Julia Coste-Marin, Philipp Steininger, Michael Gadermayr
Multi-task Learning To Improve Semantic Segmentation Of CBCT Scans Using Image Reconstruction. CoRR (2023)
Maximilian Ernst Tschuchnig, Petra Tschuchnig, Cornelia Ferner, Michael Gadermayr
Inflation forecasting with attention based transformer neural networks. CoRR (2023)
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)
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 (2023)
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 (2022)
Michael Gadermayr, Maximilian Ernst Tschuchnig
Multiple Instance Learning for Digital Pathology: A Review on the State-of-the-Art, Limitations & Future Potential. CoRR (2022)
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 (2022)
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)
Maximilian Ernst Tschuchnig, Dejan Radovanovic, Eduard Hirsch, Anna-Maria Oberluggauer, Georg Schäfer
Immutable and Democratic Data in permissionless Peer-to-Peer Systems. CoRR (2021)
Maximilian Ernst Tschuchnig, Michael Gadermayr
Anomaly Detection in Medical Imaging - A Mini Review. CoRR (2021)
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)
Maximilian Ernst Tschuchnig, Cornelia Ferner, Stefan Wegenkittl
Sequential IoT Data Augmentation using Generative Adversarial Networks. CoRR (2021)
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)
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 (2021)
Maximilian Ernst Tschuchnig, Cornelia Ferner, Stefan Wegenkittl
Sequential IoT Data Augmentation Using Generative Adversarial Networks. ICASSP (2020)
Maximilian Ernst Tschuchnig, Gertie Janneke Oostingh, Michael Gadermayr
Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential. CoRR (2020)
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 (2020)
Maximilian Ernst Tschuchnig, Gertie Janneke Oostingh, Michael Gadermayr
Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential. Patterns 1 (8) (2020)
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 (2020)
Maximilian Ernst Tschuchnig, Gertie Janneke Oostingh, Michael Gadermayr
Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential. Patterns 1 (6) (2020)
Petra Unterberger, Manfred Mayr, Maximilian Ernst Tschuchnig, Peter Haber
A Commons-compatible Implementation of the Sharing Economy: Blockchain-based Open Source Mediation. FEMIB (2020)
Maximilian Ernst Tschuchnig, Dejan Radovanovic, Eduard Hirsch, Anna-Maria Oberluggauer, Georg Schäfer
Immutable and Democratic Data in Permissionless Peer-to-Peer Systems. SDS (2019)