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2020 – today
- 2024
[c8]Timo Löhr
, Michael Ingrisch, Eyke Hüllermeier:
Towards Aleatoric and Epistemic Uncertainty in Medical Image Classification. AIME (2) 2024: 145-155- [c7]Yingding Wang, Simon Leutner, Michael Ingrisch, Christoph Klein, Ludwig Christian G. Hinske, Katharina Danhauser:
Optimizing Data Extraction: Harnessing RAG and LLMs for German Medical Documents. MIE 2024: 949-950 - [c6]Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer:
Constrained Probabilistic Mask Learning for Task-specific Undersampled MRI Reconstruction. WACV 2024: 7650-7659 - [i12]Tobias Weber, Jakob Dexl, David Rügamer, Michael Ingrisch:
Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker Decomposition. CoRR abs/2404.09683 (2024) - 2023
- [j2]Alessandro Wollek, Sardi Hyska, Bastian O. Sabel, Michael Ingrisch, Tobias Lasser:
WindowNet: Learnable Windows for Chest X-ray Classification. J. Imaging 9(12): 270 (2023) - [c5]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: 159-164 - [c4]Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer:
Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis. PAKDD (3) 2023: 180-191 - [c3]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: 140-145 - [i11]Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer:
Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis. CoRR abs/2303.11224 (2023) - [i10]Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer:
Constrained Probabilistic Mask Learning for Task-specific Undersampled MRI Reconstruction. CoRR abs/2305.16376 (2023) - [i9]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 abs/2306.02777 (2023) - [i8]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 abs/2306.05997 (2023) - [i7]Alessandro Wollek, Sardi Hyska, Bastian O. Sabel, Michael Ingrisch, Tobias Lasser:
WindowNet: Learnable Windows for Chest X-ray Classification. CoRR abs/2306.06038 (2023) - [i6]Alessandro Wollek, Sardi Hyska, Bastian O. Sabel, Michael Ingrisch, Tobias Lasser:
Exploring the Impact of Image Resolution on Chest X-ray Classification Performance. CoRR abs/2306.06051 (2023) - [i5]Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer:
Unreading Race: Purging Protected Features from Chest X-ray Embeddings. CoRR abs/2311.01349 (2023) - 2022
- [c2]Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer:
Implicit Embeddings via GAN Inversion for High Resolution Chest Radiographs. MAD@MICCAI 2022: 22-32 - [i4]Alessandro Wollek, Theresa Willem, Michael Ingrisch, Bastian O. 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 abs/2208.01077 (2022) - [i3]Katharina Jeblick, Balthasar Schachtner, Jakob Dexl, Andreas Mittermeier, Anna Theresa Stüber, Johanna Topalis, Tobias Weber, Philipp Wesp, Bastian O. Sabel, Jens Ricke, Michael Ingrisch:
ChatGPT Makes Medicine Easy to Swallow: An Exploratory Case Study on Simplified Radiology Reports. CoRR abs/2212.14882 (2022) - 2021
- [i2]Tobias Weber, Michael Ingrisch, Matthias Fabritius, Bernd Bischl, David Rügamer:
Survival-oriented embeddings for improving accessibility to complex data structures. CoRR abs/2110.11303 (2021) - [i1]Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer:
Towards modelling hazard factors in unstructured data spaces using gradient-based latent interpolation. CoRR abs/2110.11312 (2021) - 2020
- [c1]Ina Kompan, Charlotte Debus, Michael Ingrisch, Klaus H. Maier-Hein, Amir Abdollahi, Marco Nolden, Ralf Floca:
Abstract: MITK-ModelFit. Bildverarbeitung für die Medizin 2020: 81
2010 – 2019
- 2019
- [j1]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): 31:1-31:18 (2019)
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