Maximilian Fischer

According to our database1, Maximilian Fischer authored at least 16 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Deep Learning for Retinal Degeneration Assessment: A Comprehensive Analysis of the MARIO AMD Progression Challenge.
CoRR, June, 2025

KPIs 2024 Challenge: Advancing Glomerular Segmentation from Patch- to Slide-Level.
CoRR, February, 2025

Abstract: Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution.
Proceedings of the Bildverarbeitung für die Medizin 2025, 2025

Precision ICU Resource Planning - A Multimodal Model for Brain Surgery Outcomes.
Proceedings of the Bildverarbeitung für die Medizin 2025, 2025

2024
Unlocking the Potential of Digital Pathology: Novel Baselines for Compression.
CoRR, 2024

A Contribution to MBSE-supported Modeling in Product-Production-CoDesign.
Proceedings of the IEEE International Systems Conference, 2024

Mitigating False Predictions in Unreasonable Body Regions.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

Evaluating Pretraining Strategies for OCT-Based Macular Degeneration Classification.
Proceedings of the Image-Based Prediction of Retinal Disease Progression, 2024

Learned Image Compression for HE-Stained Histopathological Images via Stain Deconvolution.
Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2024

Abstract: Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning.
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.
Proceedings of the Metaverse - METAVERSE 2023, 2023

Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning.
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.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022
Deep Learning on Lossily Compressed Pathology Images: Adverse Effects for ImageNet Pre-trained Models.
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.
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2017
A Generation Comparison of Mobile Payment Acceptance Factors: an Empirical Investigation.
Proceedings of the 25th European Conference on Information Systems, 2017


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