Maximilian Fischer

According to our database, Maximilian Fischer authored at least 10 papers between 2017 and 2024.

Collaborative distances:

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

2024

Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution.

Maximilian Fischer, Peter Neher, Tassilo Wald, Silvia Dias Almeida, Shuhan Xiao, Peter J. Schüffler, Rickmer Braren, Michael Götz, Alexander Muckenhuber, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein

CoRR, 2024

A Contribution to MBSE-supported Modeling in Product-Production-CoDesign.

Alex Martin, Louis Schäfer, Jürgen Fründ, Jannis Lützelschwab, Maximilian Fischer, Gisela Lanza, Albert Albers

Proceedings of the IEEE International Systems Conference, 2024

Mitigating False Predictions in Unreasonable Body Regions.

Constantin Ulrich, Catherine Knobloch, Julius Holzschuh, Tassilo Wald, Maximilian R. Rokuss, Maximilian Zenk, Maximilian Fischer, Michael Baumgartner, Fabian Isensee, Klaus H. Maier-Hein

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

Abstract: Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning.

Maximilian Fischer, Peter Neher, Peter J. Schüffler, Shuhan Xiao, Silvia Dias Almeida, Constantin Ulrich, Alexander Muckenhuber, Rickmer Braren, Michael Götz, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023

Application of the Metaverse in Product Engineering - A Workshop for Identification of Potential Field of Action.

Tobias Düser, Maximilian Fischer, Stefan Eric Schwarz, Annika Bastian, Jonas Freyer, Kristian Vlajic, Matthias Eisenmann, Sven Matthiesen, Albert Albers

Proceedings of the Metaverse - METAVERSE 2023, 2023

Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning.

Maximilian Fischer, Peter Neher, Peter J. Schüffler, Shuhan Xiao, Silvia Dias Almeida, Constantin Ulrich, Alexander Muckenhuber, Rickmer Braren, Michael Götz, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Abstract: Deep-learning on Lossily Compressed Pathology Images - Adverse Effects for ImageNet Pre-trained Models.

Maximilian Fischer, Peter Neher, Michael Götz, Shuhan Xiao, Silvia Dias Almeida, Peter J. Schüffler, Alexander Muckenhuber, Rickmer Braren, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022

Deep Learning on Lossily Compressed Pathology Images: Adverse Effects for ImageNet Pre-trained Models.

Maximilian Fischer, Peter Neher, Michael Götz, Shuhan Xiao, Silvia Dias Almeida, Peter J. Schüffler, Alexander Muckenhuber, Rickmer Braren, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein

Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2022

DICOM Whole Slide Imaging for Computational Pathology Research in Kaapana and the Joint Imaging Platform.

Maximilian Fischer, Philipp Schader, Rickmer Braren, Michael Götz, Alexander Muckenhuber, Wilko Weichert, Peter J. Schüffler, Jens Kleesiek, Jonas Scherer, Klaus Kades, Klaus H. Maier-Hein, Marco Nolden

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2017

A Generation Comparison of Mobile Payment Acceptance Factors: an Empirical Investigation.

Maximilian Fischer, Arna Wömmel, Riccardo Reith, Bettina Lis

Proceedings of the 25th European Conference on Information Systems, 2017