Michael Ingrisch

According to our database, Michael Ingrisch authored at least 19 papers between 2019 and 2024.

Collaborative distances:

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

2024

Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker Decomposition.

Tobias Weber, Jakob Dexl, David Rügamer, Michael Ingrisch

CoRR, 2024

Constrained Probabilistic Mask Learning for Task-specific Undersampled MRI Reconstruction.

Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Optimizing Data Extraction: Harnessing RAG and LLMs for German Medical Documents.

Yingding Wang, Simon Leutner, Michael Ingrisch, Christoph Klein, Ludwig Christian G. Hinske, Katharina Danhauser

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

Towards Aleatoric and Epistemic Uncertainty in Medical Image Classification.

Timo Löhr, Michael Ingrisch, Eyke Hüllermeier

Proceedings of the Artificial Intelligence in Medicine - 22nd International Conference, 2024

2023

WindowNet: Learnable Windows for Chest X-ray Classification.

Alessandro Wollek, Sardi Hyska, Bastian O. Sabel, Michael Ingrisch, Tobias Lasser

J. Imaging, 2023

Unreading Race: Purging Protected Features from Chest X-ray Embeddings.

Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer

CoRR, 2023

Exploring the Impact of Image Resolution on Chest X-ray Classification Performance.

Alessandro Wollek, Sardi Hyska, Bastian O. Sabel, Michael Ingrisch, Tobias Lasser

CoRR, 2023

Automated Labeling of German Chest X-Ray Radiology Reports using Deep Learning.

Alessandro Wollek, Philip Haitzer, Thomas Sedlmeyr, Sardi Hyska, Johannes Rueckel, Bastian O. Sabel, Michael Ingrisch, Tobias Lasser

CoRR, 2023

German CheXpert Chest X-ray Radiology Report Labeler.

Alessandro Wollek, Sardi Hyska, Thomas Sedlmeyr, Philip Haitzer, Johannes Rueckel, Bastian O. Sabel, Michael Ingrisch, Tobias Lasser

CoRR, 2023

Revitalize the Potential of Radiomics: Interpretation and Feature Stability in Medical Imaging Analyses through Groupwise Feature Importance.

Anna Theresa Stüber, Stefan Coors, Michael Ingrisch

Proceedings of the Joint Proceedings of the xAI-2023 Late-breaking Work, 2023

Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis.

Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

CNN-based Whole Breast Segmentation in Longitudinal High-risk MRI Study - Initial Findings on Quality vs. Quantity of Training Annotations.

Ani Ambroladze, Horst K. Hahn, Heba Amer, Michael Ingrisch, Annika Gerken, Markus T. Wenzel, Michael Püsken, Andreas Mittermeier, Christoph Engel, Rita Schmutzler, Eva M. Fallenberg

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022

ChatGPT Makes Medicine Easy to Swallow: An Exploratory Case Study on Simplified Radiology Reports.

Katharina Jeblick, Balthasar Schachtner, Jakob Dexl, Andreas Mittermeier, Anna Theresa Stüber, Johanna Topalis, Tobias Weber, Philipp Wesp, Bastian O. Sabel, Jens Ricke, Michael Ingrisch

CoRR, 2022

A knee cannot have lung disease: out-of-distribution detection with in-distribution voting using the medical example of chest X-ray classification.

Alessandro Wollek, Theresa Willem, Michael Ingrisch, Bastian O. Sabel, Tobias Lasser

CoRR, 2022

Implicit Embeddings via GAN Inversion for High Resolution Chest Radiographs.

Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer

Proceedings of the Medical Applications with Disentanglements - First MICCAI Workshop, 2022

2021

Towards modelling hazard factors in unstructured data spaces using gradient-based latent interpolation.

Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer

CoRR, 2021

Survival-oriented embeddings for improving accessibility to complex data structures.

Tobias Weber, Michael Ingrisch, Matthias Fabritius, Bernd Bischl, David Rügamer

CoRR, 2021

2020

Abstract: MITK-ModelFit.

Ina Kompan, Charlotte Debus, Michael Ingrisch, Klaus H. Maier-Hein, Amir Abdollahi, Marco Nolden, Ralf Floca

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

2019

MITK-ModelFit: A generic open-source framework for model fits and their exploration in medical imaging - design, implementation and application on the example of DCE-MRI.

Charlotte Debus, Ralf Floca, Michael Ingrisch, Ina Kompan, Klaus H. Maier-Hein, Amir Abdollahi, Marco Nolden

BMC Bioinform., 2019