Maximilian Ernst Tschuchnig

According to our database, Maximilian Ernst Tschuchnig authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Multi-task Learning to Improve Semantic Segmentation of CBCT Scans using Image Reconstruction.

Maximilian Ernst Tschuchnig, Julia Coste-Marin, Philipp Steininger, Michael Gadermayr

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.

Michael Gadermayr, Lukas Koller, Maximilian Ernst Tschuchnig, Lea Maria Stangassinger, Christina Kreutzer, Sebastien Couillard-Despres, Gertie Janneke Oostingh, Anton Hittmair

CoRR, 2023

MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a Study on Thyroid Cancer Diagnosis.

Michael Gadermayr, Lukas Koller, Maximilian Ernst Tschuchnig, Lea Maria Stangassinger, Christina Kreutzer, Sebastien Couillard-Despres, Gertie Janneke Oostingh, Anton Hittmair

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.

Michael Gadermayr, Maximilian Ernst Tschuchnig

CoRR, 2022

Evaluation of Multi-Scale Multiple Instance Learning to Improve Thyroid Cancer Classification.

Maximilian Ernst Tschuchnig, Philipp Grubmüller, Lea Maria Stangassinger, Christina Kreutzer, Sebastien Couillard-Despres, Gertie Janneke Oostingh, Anton Hittmair, Michael Gadermayr

Proceedings of the Eleventh International Conference on Image Processing Theory, 2022

2021

Anomaly Detection in Medical Imaging - A Mini Review.

Maximilian Ernst Tschuchnig, Michael Gadermayr

CoRR, 2021

Quantification of anomalies in rats' spinal cords using autoencoders.

Maximilian Ernst Tschuchnig, Dominic Zillner, Pasquale Romanelli, David Hercher, Patrick Heimel, Gertie Janneke Oostingh, Sebastien Couillard-Despres, Michael Gadermayr

Comput. Biol. Medicine, 2021

Frozen-to-Paraffin: Categorization of Histological Frozen Sections by the Aid of Paraffin Sections and Generative Adversarial Networks.

Michael Gadermayr, Maximilian Ernst Tschuchnig, Lea Maria Stangassinger, Christina Kreutzer, Sebastien Couillard-Despres, Gertie Janneke Oostingh, Anton Hittmair

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.

Michael Gadermayr, Maximilian Ernst Tschuchnig, Laxmi Gupta, Nils Krämer, Daniel Truhn, Dorit Merhof, Burkhard Gess

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.

Maximilian Ernst Tschuchnig, Gertie Janneke Oostingh, Michael Gadermayr

Patterns, 2020

An Asymetric Cycle-Consistency Loss for Dealing with Many-to-One Mappings in Image Translation: A Study on Thigh MR Scans.

Michael Gadermayr, Maximilian Ernst Tschuchnig, Dorit Merhof, Nils Krämer, Daniel Truhn, Burkhard Gess

CoRR, 2020

Sequential IoT Data Augmentation Using Generative Adversarial Networks.

Maximilian Ernst Tschuchnig, Cornelia Ferner, Stefan Wegenkittl

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Commons-compatible Implementation of the Sharing Economy: Blockchain-based Open Source Mediation.

Petra Unterberger, Manfred Mayr, Maximilian Ernst Tschuchnig, Peter Haber

Proceedings of the 2nd International Conference on Finance, 2020

2019

Immutable and Democratic Data in Permissionless Peer-to-Peer Systems.

Maximilian Ernst Tschuchnig, Dejan Radovanovic, Eduard Hirsch, Anna-Maria Oberluggauer, Georg Schäfer

Proceedings of the 6th International Conference on Software Defined Systems, 2019