Michael Ingrisch

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 21

Top Topics

Chest Radiographs

Unstructured Data

Digital X Ray Images

High Resolution

Top Venues

Bildverarbeitung für die Medizin

Publications

Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer
Constrained Probabilistic Mask Learning for Task-specific Undersampled MRI Reconstruction. WACV (2024)
Tobias Weber, Jakob Dexl, David Rügamer, Michael Ingrisch
Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker Decomposition. CoRR (2024)
Timo Löhr, Michael Ingrisch, Eyke Hüllermeier
Towards Aleatoric and Epistemic Uncertainty in Medical Image Classification. AIME (2) (2024)
Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer
Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis. PAKDD (3) (2023)
Alessandro Wollek, Sardi Hyska, Thomas Sedlmeyr, Philip Haitzer, Johannes Rueckel, Bastian O. Sabel, Michael Ingrisch, Tobias Lasser
German CheXpert Chest X-ray Radiology Report Labeler. CoRR (2023)
Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer
Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis. CoRR (2023)
Alessandro Wollek, Sardi Hyska, Bastian O. Sabel, Michael Ingrisch, Tobias Lasser
Exploring the Impact of Image Resolution on Chest X-ray Classification Performance. CoRR (2023)
Alessandro Wollek, Philip Haitzer, Thomas Sedlmeyr, Sardi Hyska, Johannes Rueckel, Bastian O. Sabel, Michael Ingrisch, Tobias Lasser
Automated Labeling of German Chest X-Ray Radiology Reports using Deep Learning. CoRR (2023)
Alessandro Wollek, Sardi Hyska, Bastian O. Sabel, Michael Ingrisch, Tobias Lasser
WindowNet: Learnable Windows for Chest X-ray Classification. J. Imaging 9 (12) (2023)
Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer
Unreading Race: Purging Protected Features from Chest X-ray Embeddings. CoRR (2023)
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
CNN-based Whole Breast Segmentation in Longitudinal High-risk MRI Study - Initial Findings on Quality vs. Quantity of Training Annotations. Bildverarbeitung für die Medizin (2023)
Anna Theresa Stüber, Stefan Coors, Michael Ingrisch
Revitalize the Potential of Radiomics: Interpretation and Feature Stability in Medical Imaging Analyses through Groupwise Feature Importance. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Alessandro Wollek, Sardi Hyska, Bastian O. Sabel, Michael Ingrisch, Tobias Lasser
WindowNet: Learnable Windows for Chest X-ray Classification. CoRR (2023)
Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer
Constrained Probabilistic Mask Learning for Task-specific Undersampled MRI Reconstruction. CoRR (2023)
Katharina Jeblick, Balthasar Schachtner, Jakob Dexl, Andreas Mittermeier, Anna Theresa Stüber, Johanna Topalis, Tobias Weber, Philipp Wesp, Bastian Sabel, Jens Ricke, Michael Ingrisch
ChatGPT Makes Medicine Easy to Swallow: An Exploratory Case Study on Simplified Radiology Reports. CoRR (2022)
Alessandro Wollek, Theresa Willem, Michael Ingrisch, Bastian Sabel, Tobias Lasser
A knee cannot have lung disease: out-of-distribution detection with in-distribution voting using the medical example of chest X-ray classification. CoRR (2022)
Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer
Implicit Embeddings via GAN Inversion for High Resolution Chest Radiographs. MAD@MICCAI (2022)
Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer
Towards modelling hazard factors in unstructured data spaces using gradient-based latent interpolation. CoRR (2021)
Tobias Weber, Michael Ingrisch, Matthias Fabritius, Bernd Bischl, David Rügamer
Survival-oriented embeddings for improving accessibility to complex data structures. CoRR (2021)
Ina Kompan, Charlotte Debus, Michael Ingrisch, Klaus H. Maier-Hein, Amir Abdollahi, Marco Nolden, Ralf Floca
Abstract: MITK-ModelFit. Bildverarbeitung für die Medizin (2020)
Charlotte Debus, Ralf Floca, Michael Ingrisch, Ina Kompan, Klaus H. Maier-Hein, Amir Abdollahi, Marco Nolden
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. BMC Bioinform. 20 (1) (2019)