Michael Ingrisch

25 papers A 1Journal 16Unranked 8
YearRankTypeTitle / Venue / Authors
2025 — conf
Preventing Sensitive Information Leakage via Post-hoc Orthogonalization with Application to Chest Radiograph Embeddings.
PAKDD (4)
Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer
2025 J jnl
Radiomics-based differentiation of upper urinary tract urothelial and renal cell carcinoma in preoperative computed tomography datasets.
BMC Medical Imaging
Julian Marcon, Philipp Weinhold, Mona Rzany, Matthias Fabritius, Michael Winkelmann, Alexander Buchner, Lennert Eismann, Jan-Friedrich Jokisch, Jozefina Casuscelli, Gerald B. Schulz, Thomas Knösel, Michael Ingrisch, Jens Ricke, Christian G. Stief, Severin Rodler, Philipp Maximilian Kazmierczak
2024 A conf
Constrained Probabilistic Mask Learning for Task-specific Undersampled MRI Reconstruction.
WACV
Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer
2024 — conf
Optimizing Data Extraction: Harnessing RAG and LLMs for German Medical Documents.
MIE
Yingding Wang, Simon Leutner, Michael Ingrisch, Christoph Klein, Ludwig Christian G. Hinske, Katharina Danhauser
2024 J jnl
Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker Decomposition.
CoRR
Tobias Weber, Jakob Dexl, David Rügamer, Michael Ingrisch
2024 J jnl
Results from the autoPET challenge on fully automated lesion segmentation in oncologic PET/CT imaging.
Nat. Mac. Intell.
Sergios Gatidis, Marcel Früh, Matthias Fabritius, Sijing Gu, Konstantin Nikolaou, Christian la Fougère, Jin Ye, Junjun He, Yige Peng, Lei Bi, Jun Ma, Bo Wang, Jia Zhang, Yukun Huang, Lars Heiliger, Zdravko Marinov, Rainer Stiefelhagen, Jan Egger, Jens Kleesiek, Ludovic Sibille, Lei Xiang, Simone Bendazzoli, Mehdi Astaraki, Michael Ingrisch, Clemens C. Cyran, Thomas Küstner
2024 — conf
Towards Aleatoric and Epistemic Uncertainty in Medical Image Classification.
AIME (2)
Timo Löhr, Michael Ingrisch, Eyke Hüllermeier
2023 J jnl
Automated Labeling of German Chest X-Ray Radiology Reports using Deep Learning.
CoRR
Alessandro Wollek, Philip Haitzer, Thomas Sedlmeyr, Sardi Hyska, Johannes Rueckel, Bastian O. Sabel, Michael Ingrisch, Tobias Lasser
2023 — conf
CNN-based Whole Breast Segmentation in Longitudinal High-risk MRI Study - Initial Findings on Quality vs. Quantity of Training Annotations.
Bildverarbeitung für die Medizin
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
2023 — conf
Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis.
PAKDD (3)
Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer
2023 J jnl
Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis.
CoRR
Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer
2023 J jnl
Constrained Probabilistic Mask Learning for Task-specific Undersampled MRI Reconstruction.
CoRR
Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer
2023 J jnl
Exploring the Impact of Image Resolution on Chest X-ray Classification Performance.
CoRR
Alessandro Wollek, Sardi Hyska, Bastian O. Sabel, Michael Ingrisch, Tobias Lasser
2023 J jnl
German CheXpert Chest X-ray Radiology Report Labeler.
CoRR
Alessandro Wollek, Sardi Hyska, Thomas Sedlmeyr, Philip Haitzer, Johannes Rueckel, Bastian O. Sabel, Michael Ingrisch, Tobias Lasser
2023 — conf
Revitalize the Potential of Radiomics: Interpretation and Feature Stability in Medical Imaging Analyses through Groupwise Feature Importance.
xAI (Late-breaking Work, Demos, Doctoral Consortium)
Anna Theresa Stüber, Stefan Coors, Michael Ingrisch
2023 J jnl
Unreading Race: Purging Protected Features from Chest X-ray Embeddings.
CoRR
Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer
2023 J jnl
WindowNet: Learnable Windows for Chest X-ray Classification.
CoRR
Alessandro Wollek, Sardi Hyska, Bastian O. Sabel, Michael Ingrisch, Tobias Lasser
2023 J jnl
WindowNet: Learnable Windows for Chest X-ray Classification.
J. Imaging
Alessandro Wollek, Sardi Hyska, Bastian O. Sabel, Michael Ingrisch, Tobias Lasser
2022 J jnl
A knee cannot have lung disease: out-of-distribution detection with in-distribution voting using the medical example of chest X-ray classification.
CoRR
Alessandro Wollek, Theresa Willem, Michael Ingrisch, Bastian O. Sabel, Tobias Lasser
2022 J jnl
ChatGPT Makes Medicine Easy to Swallow: An Exploratory Case Study on Simplified Radiology Reports.
CoRR
Katharina Jeblick, Balthasar Schachtner, Jakob Dexl, Andreas Mittermeier, Anna Theresa Stüber, Johanna Topalis, Tobias Weber, Philipp Wesp, Bastian O. Sabel, Jens Ricke, Michael Ingrisch
2022 — conf
Implicit Embeddings via GAN Inversion for High Resolution Chest Radiographs.
MAD@MICCAI
Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer
2021 J jnl
Survival-oriented embeddings for improving accessibility to complex data structures.
CoRR
Tobias Weber, Michael Ingrisch, Matthias Fabritius, Bernd Bischl, David Rügamer
2021 J jnl
Towards modelling hazard factors in unstructured data spaces using gradient-based latent interpolation.
CoRR
Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer
2020 — conf
Abstract: MITK-ModelFit.
Bildverarbeitung für die Medizin
Ina Kompan, Charlotte Debus, Michael Ingrisch, Klaus H. Maier-Hein, Amir Abdollahi, Marco Nolden, Ralf Floca
2019 J jnl
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.
Charlotte Debus, Ralf Floca, Michael Ingrisch, Ina Kompan, Klaus H. Maier-Hein, Amir Abdollahi, Marco Nolden