A Generation Comparison of Mobile Payment Acceptance Factors: an Empirical Investigation. - Maximilian Fischer; Arna Wömmel; Riccardo Reith; Bettina Lis (ECIS, 2017)

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 (Bildverarbeitung für die Medizin, 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 (MOVI@MICCAI, 2022)

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 (Bildverarbeitung für die Medizin, 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 (MLMI@MICCAI (2), 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 (METAVERSE, 2023)

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 (Bildverarbeitung für die Medizin, 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 (MOVI@MICCAI, 2024)

Evaluating Pretraining Strategies for OCT-Based Macular Degeneration Classification. - Jessica Kächele; Robin Peretzke; Alexandra Ertl; Maximilian Fischer; Marlin Hanstein; Florian M. Hauptmann; Dimitrios Bounias; Marco Nolden; Peter Neher; Klaus H. Maier-Hein (DIAMOND/MARIO@MICCAI, 2024)

Mitigating False Predictions in Unreasonable Body Regions. - Constantin Ulrich; Catherine Knobloch; Julius Holzschuh; Tassilo Wald; Maximilian Rokuss; Maximilian Zenk; Maximilian Fischer; Michael Baumgartner 001; Fabian Isensee; Klaus H. Maier-Hein (MLMI@MICCAI (2), 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 (SysCon, 2024)

Unlocking the Potential of Digital Pathology: Novel Baselines for Compression. - Maximilian Fischer; Peter Neher; Peter J. Schüffler; Sebastian Ziegler; Shuhan Xiao; Robin Peretzke; David A. Clunie; Constantin Ulrich; Michael Baumgartner 001; Alexander Muckenhuber; Silvia Dias Almeida; Michael Götz; et al. (CoRR, 2024)

Precision ICU Resource Planning - A Multimodal Model for Brain Surgery Outcomes. - Maximilian Fischer; Florian M. Hauptmann; Robin Peretzke; Paul Naser; Peter Neher; Jan-Oliver Neumann; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2025)

Abstract: Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution. - Maximilian Fischer; Peter Neher; Tassilo Wald; Constantin Ulrich; Peter J. Schüffler; Shuhan Xiao; Silvia Dias Almeida; Alexander Muckenhuber; Rickmer Braren; Michael Götz; Jens Kleesiek; Marco Nolden; et al. (Bildverarbeitung für die Medizin, 2025)

KPIs 2024 Challenge: Advancing Glomerular Segmentation from Patch- to Slide-Level. - Ruining Deng; Tianyuan Yao; Yucheng Tang; Junlin Guo; Siqi Lu; Juming Xiong; Lining Yu; Quan Huu Cap; Pengzhou Cai; Libin Lan; Ze Zhao; Adrian Galdran; et al. (CoRR, 2025)

Deep Learning for Retinal Degeneration Assessment: A Comprehensive Analysis of the MARIO AMD Progression Challenge. - Rachid Zeghlache; Ikram Brahim; Pierre-Henri Conze; Mathieu Lamard; Mohammed El Amine Lazouni; Elaouaber Zineb Aziza; Leila Ryma Lazouni; Christopher Nielsen; Ahmad O. Ahsan; Matthias Wilms; Nils D. Forkert; Lovre Antonio Budimir; et al. (CoRR, 2025)