F. Khader, G. Müller-Franzes, S. Tayebi Arasteh, T. Han, C. Haarburger, M. Schulze-Hagen, P. Schad, S. Engelhardt, B. Baeßler, S. Foersch, J. Stegmaier, C. Kuhl, S. Nebelung, J. N. Kather, D. Truhn Denoising Diffusion Probabilistic Models for 3D Medical Image Generation In: Scientific Reports 13 (1)
2023
F. Khader, J. N. Kather, G. Müller-Franzes, T. Wang, T. Han, S. Tayebi Arasteh, K. Hamesch, K. Bressem, C. Haarburger, J. Stegmaier, C. Kuhl, S. Nebelung, D. Truhn Medical Transformer for Multimodal Survival Prediction in Intensive Care: Integration of Imaging and Non-Imaging Data In: Scientific Reports 13 (1)
2021
Justus Schock, Daniel Truhn, Darius Nürnberger, Stefan Conrad, Marc S. Huppertz, Sebastian Keil, Christiane Kuhl, Dorit Merhof, Sven Nebelung Artificial intelligence-based automatic assessment of lower limb torsion on MRI In: Scientific Reports 11 (1)
2021
Michael Gadermayr, Lotte Heckmann, Kexin Li, Friederike Bähr, Madlaine Müller, Daniel Truhn, Dorit Merhof and Burkhard Gess Image-to-Image Translation for Simplified MRI Muscle Segmentation In: Frontiers in Radiology
2020
Tianyu Han, Sven Nebelung, Christoph Haarburger, Nicolas Horst, Sebastian Reinartz, Dorit Merhof, Fabian Kiessling, Volkmar Schulz and Daniel Truhn Breaking medical data sharing boundaries by employing artificial radiographs In: Science Advances
2020
Christoph Haarburger, Gustav Müller-Franzes, Leon Weninger, Christiane Kuhl, Daniel Truhn, Dorit Merhof Radiomics feature reproducibility under inter‐rater variability in segmentations of ct images In: Scientific Reports (accepted)
2020
Daniel Truhn, Nicolai Brill, Benedikt Braun, Dorit Merhof, Christiane Kuhl, Matthias Knobe, Johannes Thüring and Sven Nebelung A multi-purpose force-controlled loading device for cartilage and meniscus functionality assessment using advanced MRI techniques In: Journal of the Mechanical Behavior of Biomedical Materials 101
2020
Johannes Thüring, Oliver Rippel, Christoph Haarburger, Dorit Merhof, Philipp Schad, Philipp Bruners, Christiane K. Kuhl and Daniel Truhn Multiphase CT-based prediction of Child-Pugh classification: a machine learning approach In: European Radiology Experimental 4 (1)
2019
Michael Gadermayr, Kexin Li, Madlaine Müller, Daniel Truhn, Nils Krämer, Dorit Merhof and Burkhard Gess Domain-specific data augmentation for segmenting MR images of fatty infiltrated human thighs with neural networks In: Journal of Magnetic Resonance Imaging 49 (6)
2019
Daniel Truhn, Björn Sondern, Simon Oehrl, Markus Tingart, Matthias Knobe, Dorit Merhof, Christiane Kuhl, Johannes Thüring and Sven Nebelung Differentiation of human cartilage degeneration by functional MRI mapping — an ex vivo study In: European Radiology
2019
Daniel Truhn, Simone Schrading, Christoph Haarburger, Hannah Schneider, Dorit Merhof and Christiane Kuhl Radiomic versus Convolutional Neural Networks Analysis for Classification of Contrast-enhancing Lesions at Multiparametric Breast MRI In: Radiology 290 (2)
2016
Nicolai Brill, Mathias Wirtz, Dorit Merhof, Markus Tingart, Holger Jahr, Daniel Truhn, Robert Schmitt and Sven Nebelung Polarization-Sensitive Optical Coherence Tomography-Based Imaging, Parameterization and Quantification of Human Cartilage Degeneration In: Journal of Biomedical Optics 21 (7)
2016
Sven Nebelung, Nicolai Brill, Felix Müller, Markus Tingart, Thomas Pufe, Dorit Merhof, Robert Schmitt, Holger Jahr and Daniel Truhn Towards Optical Coherence Tomography-Based Elastographic Evaluation of Human Cartilage In: Journal of the Mechanical Behavior of Biomedical Materials 56
2009
Kerstin A. Nagel, Bernd Kastenholz, Siegfried Jahnke, Dagmar van Dusschoten, Til Aach, Matthias Mühlich, Daniel Truhn, Hanno Scharr, Stefan Terjung, Achim Walter and Ulrich Schurr Temperature Response of Roots: Impact on Growth, Root System Architecture and Implications for Phenotyping In: Functional Plant Biology 36 (Special Issue on Plant Phenomics)
2008
Til Aach, Frank Gilmer, Matthias Mühlich, Kerstin Nagel, Hanno Scharr, Ulrich Schurr, Daniel Truhn and Achim Walter Wie Pflanzen Wurzeln schlagen: Digitale Bildanalyse macht Wurzel-Wachstum messbar In: RWTH Themen (ISSN: 0179-079X) 1
Konferenz-Veröffentlichungen
2023
F. Khader, J. N. Kather, T. Han, S. Nebelung, C. Kuhl, J. Stegmaier, D. Truhn Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers In: Machine Learning in Medical Imaging Workshop at MICCAI 2023 (accepted paper)
2023
F. Khader, G. Müller-Franzes, S. T. Arasteh, T. Han, J. N. Kather, J. Stegmaier, S. Nebelung, D. Truhn Vector-Quantized Latent Flows for Medical Image Synthesis and Out-Of-Distribution Detection In: IEEE 20th International Symposium on Biomedical Imaging (ISBI)
2023
F. Khader, J. Stegmaier, S. Nebelung, D. Truhn Multi-View Abnormality Detection in Clinical Knee MRI Studies Using Transformers In: IEEE 20th International Symposium on Biomedical Imaging (ISBI)
2022
Justus Schock, Yu-Chia Lan, Daniel Truhn, Marcin Kopaczka, Stefan Conrad, Sven Nebelung and Dorit Merhof Monoplanar CT Reconstruction with GANs In: IEEE International Conference on Image Processing Theory and Tools and Applications (IPTA)
2021
Michael Gadermayr, Maximilian Tschuchnig, Laxmi Gupta, Nils Krämer, Daniel Truhn, Dorit Merhof and Burkhard Gess An asymmetric cycle-consistency loss for dealing with many-to-one mappings in image translation: a study on thigh MR scans In: IEEE International Symposium on Biomedical Imaging (ISBI)
2020
Justus Schock, Marcin Kopaczka, Benjamin Agthe, Jie Huang, Paul Kruse, Daniel Truhn, Stefan Conrad, Gerald Antoch, Christiane Kuhl, Sven Nebelung and Dorit Merhof A Method for Semantic Knee Bone and Cartilage Segmentation with Deep 3D Shape Fitting Using Data From the Osteoarthritis Initiative In: MICCAI Workshop on Shape Analysis in Medical Imaging (ShapeMI)
2020
Marcin Kopaczka, Richard Lindenputz, Daniel Truhn, Maximilian Schulze-Hagen and Dorit Merhof Fully Automated Segmentation of the Psoas Major Muscle in Clinical CT Scans In: Bildverarbeitung fuer die Medizin (BVM)
2020
Christoph Haarburger, Justus Schock, Daniel Truhn, Philippe Weitz, Gustav Mueller-Franzes, Leon Weninger and Dorit Merhof Radiomic Feature Stability Analysis based on Probabilistic Segmentations In: IEEE International Symposium on Biomedical Imaging (ISBI)
2019
Christoph Haarburger, Michael Baumgartner, Daniel Truhn, Mirjam Broeckmann, Hannah Schneider, Simone Schrading, Christiane Kuhl and Dorit Merhof Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification In: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
2019
Oliver Rippel, Daniel Truhn, Johannes Thüring, Christoph Haarburger, Christiane K. Kuhl and Dorit Merhof Prediction of Liver Function based on DCE-CT In: Bildverarbeitung für die Medizin (BVM)
2019
Christoph Haarburger, Nicolas Horst, Daniel Truhn, Mirjam Broeckmann, Simone Schrading, Christiane Kuhl and Dorit Merhof Multiparametric Magnetic Resonance Image Synthesis using Generative Adversarial Networks In: Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM)
2018
Christoph Haarburger, Johannes Rüther, Daniel Truhn, Simone Schrading, Daniel Bug, Christiane K. Kuhl and Dorit Merhof Abbreviated Breast Biopsy Procedure by Registration of Craniocaudal and Mediolateral Breast MR Images In: IEEE International Symposium on Biomedical Imaging (ISBI)
2018
Christoph Haarburger, Peter Langenberg, Daniel Truhn, Hannah Schneider, Johannes Thüring, Simone Schrading, Christiane K. Kuhl and Dorit Merhof Transfer Learning for Breast Cancer Malignancy Classification based on Dynamic Contrast-Enhanced MR Images In: Bildverarbeitung für die Medizin (BVM)
2008
Thomas Stehle, Daniel Truhn and Til Aach Camera Calibration for Endoscopical Fish-Eye Lenses for 3D Reconstruction In: Liege Image Days, International Conference on Medical Imaging
2008
Matthias Mählich, Daniel Truhn, Kerstin Nagel, Achim Walter, Hanno Scharr and Til Aach Measuring Plant Root Growth In: Pattern Recognition
2007
Thomas Stehle, Daniel Truhn, Til Aach, Christian Trautwein and Jens Tischendorf Camera Calibration for Fish-Eye Lenses in Endoscopy with an Application to 3D Reconstruction In: Proceedings IEEE International Symposium on Biomedical Imaging (ISBI)
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