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)

Abstract: MITK-ModelFit. - Ina Kompan; Charlotte Debus; Michael Ingrisch; Klaus H. Maier-Hein; Amir Abdollahi; Marco Nolden; Ralf Floca (Bildverarbeitung für die Medizin, 2020)

Survival-oriented embeddings for improving accessibility to complex data structures. - Tobias Weber; Michael Ingrisch; Matthias Fabritius; Bernd Bischl; David Rügamer (CoRR, 2021)

Towards modelling hazard factors in unstructured data spaces using gradient-based latent interpolation. - Tobias Weber; Michael Ingrisch; Bernd Bischl; David Rügamer (CoRR, 2021)

Implicit Embeddings via GAN Inversion for High Resolution Chest Radiographs. - Tobias Weber; Michael Ingrisch; Bernd Bischl; David Rügamer (MAD@MICCAI, 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)

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)

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 (Bildverarbeitung für die Medizin, 2023)

Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis. - Tobias Weber; Michael Ingrisch; Bernd Bischl; David Rügamer (PAKDD (3), 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 (xAI (Late-breaking Work, Demos, Doctoral Consortium), 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)

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)

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)

Unreading Race: Purging Protected Features from Chest X-ray Embeddings. - Tobias Weber; Michael Ingrisch; Bernd Bischl; David Rügamer (CoRR, 2023)

WindowNet: Learnable Windows for Chest X-ray Classification. - Alessandro Wollek; Sardi Hyska; Bastian O. Sabel; Michael Ingrisch; Tobias Lasser (J. Imaging, 2023)

Towards Aleatoric and Epistemic Uncertainty in Medical Image Classification. - Timo Löhr; Michael Ingrisch; Eyke Hüllermeier (AIME (2), 2024)

Optimizing Data Extraction: Harnessing RAG and LLMs for German Medical Documents. - Yingding Wang; Simon Leutner; Michael Ingrisch; Christoph Klein 001; Ludwig Christian G. Hinske; Katharina Danhauser (MIE, 2024)

Constrained Probabilistic Mask Learning for Task-specific Undersampled MRI Reconstruction. - Tobias Weber; Michael Ingrisch; Bernd Bischl; David Rügamer (WACV, 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)

Results from the autoPET challenge on fully automated lesion segmentation in oncologic PET/CT imaging. - Sergios Gatidis; Marcel Früh; Matthias Fabritius; Sijing Gu; Konstantin Nikolaou; Christian La Fougère; Jin Ye 002; Junjun He; Yige Peng; Lei Bi 001; Jun Ma 016; Bo Wang 044; et al. (Nat. Mac. Intell., 2024)

Preventing Sensitive Information Leakage via Post-hoc Orthogonalization with Application to Chest Radiograph Embeddings. - Tobias Weber; Michael Ingrisch; Bernd Bischl; David Rügamer (PAKDD (4), 2025)

Radiomics-based differentiation of upper urinary tract urothelial and renal cell carcinoma in preoperative computed tomography datasets. - 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; et al. (BMC Medical Imaging, 2025)