2023

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)

2022

Haarburger, Christoph Karl
Towards computer-aided diagnosis of cancer on radiological images using convolutional neural networks

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

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)

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

Leon Weninger, Christoph Haarburger and Dorit Merhof
Robustness of Radiomics for Survival Prediction of Brain Tumor Patients Depending on Resection Status
In: Frontiers in Computational Neuroscience 13

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

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)

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)

2019

Christoph Haarburger, Justus Schock, Michael Baumgartner, Oliver Rippel and Dorit Merhof
Delira: A High-Level Framework for Deep Learning in Medical Image Analysis
In: Journal of Open Source Software

2019

Christoph Haarburger, Philippe Weitz, Oliver Rippel and Dorit Merhof
Image-based Survival Prediction for Lung Cancer Patients using CNNs
In: IEEE International Symposium on Biomedical Imaging (ISBI)

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)

2017

Simon Koppers, Christoph Haarburger, J. Christopher Edgar and Dorit Merhof
Reliable Estimation of the Number of Compartments in Diffusion MRI
In: Bildverarbeitung für die Medizin (BVM)

2016

Simon Koppers, Christoph Haarburger and Dorit Merhof
Diffusion MRI Signal Augmentation - From Single Shell to Multi Shell with Deep Learning
In: MICCAI Workshop on Computational Diffusion MRI (CDMRI)

2014

David Friedrich, Christoph Haarburger, Adrian Luna-Cobos, Dietrich Meyer-Ebrecht, Alfred Böcking and Dorit Merhof
Segmentierung von Zellkernen für Hochdurchsatz-DNA-Bildzytomerie
In: Bildverarbeitung für die Medizin (BVM)