Christoph Haarburger

Soziale Medien
  

Preprints

Publikationen

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  2023article

  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 and D. Truhn

  Denoising Diffusion Probabilistic Models for 3D Medical Image Generation

  In: Scientific Reports 13 (1), S. 7303, Nature Publishing Group UK London

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  2023article

  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 and D. Truhn

  Medical Transformer for Multimodal Survival Prediction in Intensive Care: Integration of Imaging and Non-Imaging Data

  In: Scientific Reports 13 (1), S. 10666, Nature Publishing Group UK London

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  2022dissertation

  Christoph Karl Haarburger

  Towards computer-aided diagnosis of cancer on radiological images using convolutional neural networks

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  2020article

  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

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  2020article

  Christoph Haarburger, Gustav Müller-Franzes, Leon Weninger, Christiane Kuhl, Daniel Truhn and Dorit Merhof

  Radiomics feature reproducibility under inter‐rater variability in segmentations of ct images

  In: Scientific Reports (accepted), Nature Publishing Group

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  2020article

  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), S. 1-9

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  2020inproceedings

  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)

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  2019article

  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, S. 73

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  2019inproceedings

  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)

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  2019article

  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), S. 10.1148/radiol.2018181352

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  2019inproceedings

  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)

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  2019inproceedings

  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), S. 11--15, Eurographics Association

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  2019article

  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

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  2019inproceedings

  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), S. 1197-1201

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  2018inproceedings

  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), S. 826--830

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  2018inproceedings

  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), S. 216--221

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  2017incollection

  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), S. 203--208, Springer Berlin Heidelberg

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  2016inproceedings

  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), S. 61-70, Springer International Publishing

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  2014incollection

  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), S. 216-221, Springer

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