Christoph Haarburger

According to our database, Christoph Haarburger authored at least 23 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Medical Foundation Models are Susceptible to Targeted Misinformation Attacks.

Tianyu Han, Sven Nebelung, Firas Khader, Tianci Wang, Gustav Mueller-Franzes, Christiane Kuhl, Sebastian Försch, Jens Kleesiek, Christoph Haarburger, Keno K. Bressem, Jakob Nikolas Kather, Daniel Truhn

CoRR, 2023

2022

Image prediction of disease progression for osteoarthritis by style-based manifold extrapolation.

Tianyu Han, Jakob Nikolas Kather, Federico Pedersoli, Markus Zimmermann, Sebastian Keil, Maximilian Schulze-Hagen, Marc Terwoelbeck, Peter Isfort, Christoph Haarburger, Fabian Kiessling, Christiane Kuhl, Volkmar Schulz, Sven Nebelung, Daniel Truhn

Nat. Mac. Intell., November, 2022

Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging Diverse Data for More Accurate Diagnosis.

Firas Khader, Gustav Mueller-Franzes, Tianci Wang, Tianyu Han, Soroosh Tayebi Arasteh, Christoph Haarburger, Johannes Stegmaier, Keno K. Bressem, Christiane Kuhl, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn

CoRR, 2022

Diffusion Probabilistic Models beat GANs on Medical Images.

Gustav Müller-Franzes, Jan Moritz Niehues, Firas Khader, Soroosh Tayebi Arasteh, Christoph Haarburger, Christiane Kuhl, Tianci Wang, Tianyu Han, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn

CoRR, 2022

Medical Diffusion - Denoising Diffusion Probabilistic Models for 3D Medical Image Generation.

Firas Khader, Gustav Mueller-Franzes, Soroosh Tayebi Arasteh, Tianyu Han, Christoph Haarburger, Maximilian Schulze-Hagen, Philipp Schad, Sandy Engelhardt, Bettina Baeßler, Sebastian Foersch, Johannes Stegmaier, Christiane Kuhl, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn

CoRR, 2022

2021

Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge.

Víctor M. Campello, Polyxeni Gkontra, Cristian Izquierdo, Carlos Martín-Isla, Alireza Sojoudi, Peter M. Full, Klaus H. Maier-Hein, Yao Zhang, Zhiqiang He, Jun Ma, Mario Parreño, Alberto Albiol, Fanwei Kong, Shawn C. Shadden, Jorge Corral Acero, Vaanathi Sundaresan, Mina Saber, Mustafa A. Alattar, Hongwei Li, Bjoern H. Menze, Firas Khader, Christoph Haarburger, Cian M. Scannell, Mitko Veta, Adam Carscadden, Kumaradevan Punithakumar, Xiao Liu, Sotirios A. Tsaftaris, Xiaoqiong Huang, Xin Yang, Lei Li, Xiahai Zhuang, David Viladés, Martín Luís Descalzo, Andrea Guala, Lucia La Mura, Matthias G. W. Friedrich, Ria Garg, Julie Lebel, Filipe Henriques, Mahir Karakas, Ersin Çavus, Steffen E. Petersen, Sergio Escalera, Santi Seguí, José F. Rodríguez Palomares, Karim Lekadir

IEEE Trans. Medical Imaging, 2021

Predicting Osteoarthritis Progression in Radiographs via Unsupervised Representation Learning.

Tianyu Han, Jakob Nikolas Kather, Federico Pedersoli, Markus Zimmermann, Sebastian Keil, Maximilian Schulze-Hagen, Marc Terwoelbeck, Peter Isfort, Christoph Haarburger, Fabian Kiessling, Volkmar Schulz, Christiane Kuhl, Sven Nebelung, Daniel Truhn

CoRR, 2021

2020

Advancing diagnostic performance and clinical usability of neural networks via adversarial training and dual batch normalization.

Tianyu Han, Sven Nebelung, Federico Pedersoli, Markus Zimmermann, Maximilian Schulze-Hagen, Michael Ho, Christoph Haarburger, Fabian Kiessling, Christiane Kuhl, Volkmar Schulz, Daniel Truhn

CoRR, 2020

Adaptive Preprocessing for Generalization in Cardiac MR Image Segmentation.

Firas Khader, Justus Schock, Daniel Truhn, Fabian Morsbach, Christoph Haarburger

Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

Radiomic Feature Stability Analysis Based on Probabilistic Segmentations.

Christoph Haarburger, Justus Schock, Daniel Truhn, Philippe Weitz, Gustav Mueller-Franzes, Leon Weninger, Dorit Merhof

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Delira: A High-Level Framework for Deep Learning in Medical Image Analysis.

Christoph Haarburger, Justus Schock, Michael Baumgartner, Oliver Rippel, Dorit Merhof

J. Open Source Softw., 2019

Robustness of Radiomics for Survival Prediction of Brain Tumor Patients Depending on Resection Status.

Leon Weninger, Christoph Haarburger, Dorit Merhof

Frontiers Comput. Neurosci., 2019

Radiomic Feature Stability Analysis based on Probabilistic Segmentations.

Christoph Haarburger, Justus Schock, Daniel Truhn, Philippe Weitz, Leon Weninger, Dorit Merhof

CoRR, 2019

Multiparametric Magnetic Resonance Image Synthesis using Generative Adversarial Networks.

Christoph Haarburger, Nicolas Horst, Daniel Truhn, Mirjam Broeckmann, Simone Schrading, Christiane Kuhl, Dorit Merhof

Proceedings of the Eurographics Workshop on Visual Computing for Biology and Medicine, 2019

Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification.

Christoph Haarburger, Michael Baumgartner, Daniel Truhn, Mirjam Broeckmann, Hannah Schneider, Simone Schrading, Christiane Kuhl, Dorit Merhof

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Image-Based Survival Prediction for Lung Cancer Patients Using CNNS.

Christoph Haarburger, Philippe Weitz, Oliver Rippel, Dorit Merhof

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Prediction of Liver Function Based on DCE-CT.

Oliver Rippel, Daniel Truhn, Johannes Thüring, Christoph Haarburger, Christiane K. Kuhl, Dorit Merhof

Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

2018

Image-based Survival Analysis for Lung Cancer Patients using CNNs.

Christoph Haarburger, Philippe Weitz, Oliver Rippel, Dorit Merhof

CoRR, 2018

Abbreviated breast biopsy procedure by registration of craniocaudal and mediolateral breast MR images.

Christoph Haarburger, Johannes Ruther, Daniel Truhn, Simone Schrading, Daniel Bug, Christiane K. Kuhl, Dorit Merhof

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Transfer Learning for Breast Cancer Malignancy Classification based on Dynamic Contrast-Enhanced MR Images.

Christoph Haarburger, Peter Langenberg, Daniel Truhn, Hannah Schneider, Johannes Thüring, Simone Schrading, Christiane K. Kuhl, Dorit Merhof

Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

2017

Reliable Estimation of the Number of Compartments in Diffusion MRI.

Simon Koppers, Christoph Haarburger, J. Christopher Edgar, Dorit Merhof

Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017

2016

Towards an algorithm for automatic accelerometer-based pulse presence detection during cardiopulmonary resuscitation.

Kiran H. J. Dellimore, Ralph W. C. G. R. Wijshoff, Christoph Haarburger, Vincent Aarts, Rene Derkx, Jakob van de Laar, Krishnakant Nammi, James K. Russell, Pia Hubner, Fritz Sterz, Jens Muehlsteff

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2014

Segmentierung von Zellkernen für Hochdurchsatz-DNA-Bildzytomerie.

David Friedrich, Christoph Haarburger, Adrián Luna Cobos, Dietrich Meyer-Ebrecht, Alfred Böcking, Dorit Merhof

Proceedings of the Bildverarbeitung für die Medizin 2014, Algorithmen - Systeme, 2014