Christoph Haarburger

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 23

Top Topics

Image Generation

Magnetic Resonance

Lung Cancer Patients

Survival Prediction

Top Venues

Bildverarbeitung für die Medizin

M&Ms and EMIDEC/STACOM@MICCAI

Publications

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
Medical Foundation Models are Susceptible to Targeted Misinformation Attacks. CoRR (2023)
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
Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging Diverse Data for More Accurate Diagnosis. CoRR (2022)
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
Diffusion Probabilistic Models beat GANs on Medical Images. CoRR (2022)
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
Image prediction of disease progression for osteoarthritis by style-based manifold extrapolation. Nat. Mac. Intell. 4 (11) (2022)
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
Medical Diffusion - Denoising Diffusion Probabilistic Models for 3D Medical Image Generation. CoRR (2022)
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. Friedrich, Ria Garg, Julie Lebel, Filipe Henriques, Mahir Karakas, Ersin Çavus, Steffen E. Petersen, Sergio Escalera, Santi Seguí, José F. Rodríguez Palomares, Karim Lekadir
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. IEEE Trans. Medical Imaging 40 (12) (2021)
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
Predicting Osteoarthritis Progression in Radiographs via Unsupervised Representation Learning. CoRR (2021)
Christoph Haarburger, Justus Schock, Daniel Truhn, Philippe Weitz, Gustav Mueller-Franzes, Leon Weninger, Dorit Merhof
Radiomic Feature Stability Analysis Based on Probabilistic Segmentations. ISBI (2020)
Tianyu Han, Sven Nebelung, Federico Pedersoli, Markus Zimmermann, Maximilian Schulze-Hagen, Michael Ho, Christoph Haarburger, Fabian Kiessling, Christiane Kuhl, Volkmar Schulz, Daniel Truhn
Advancing diagnostic performance and clinical usability of neural networks via adversarial training and dual batch normalization. CoRR (2020)
Firas Khader, Justus Schock, Daniel Truhn, Fabian Morsbach, Christoph Haarburger
Adaptive Preprocessing for Generalization in Cardiac MR Image Segmentation. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Christoph Haarburger, Justus Schock, Daniel Truhn, Philippe Weitz, Leon Weninger, Dorit Merhof
Radiomic Feature Stability Analysis based on Probabilistic Segmentations. CoRR (2019)
Christoph Haarburger, Michael Baumgartner, Daniel Truhn, Mirjam Broeckmann, Hannah Schneider, Simone Schrading, Christiane Kuhl, Dorit Merhof
Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification. CoRR (2019)
Christoph Haarburger, Nicolas Horst, Daniel Truhn, Mirjam Broeckmann, Simone Schrading, Christiane Kuhl, Dorit Merhof
Multiparametric Magnetic Resonance Image Synthesis using Generative Adversarial Networks. VCBM (2019)
Oliver Rippel, Daniel Truhn, Johannes Thüring, Christoph Haarburger, Christiane K. Kuhl, Dorit Merhof
Prediction of Liver Function Based on DCE-CT. Bildverarbeitung für die Medizin (2019)
Christoph Haarburger, Philippe Weitz, Oliver Rippel, Dorit Merhof
Image-Based Survival Prediction for Lung Cancer Patients Using CNNS. ISBI (2019)
Christoph Haarburger, Michael Baumgartner, Daniel Truhn, Mirjam Broeckmann, Hannah Schneider, Simone Schrading, Christiane Kuhl, Dorit Merhof
Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification. MICCAI (4) (2019)
Leon Weninger, Christoph Haarburger, Dorit Merhof
Robustness of Radiomics for Survival Prediction of Brain Tumor Patients Depending on Resection Status. Frontiers Comput. Neurosci. 13 (2019)
Christoph Haarburger, Justus Schock, Michael Baumgartner, Oliver Rippel, Dorit Merhof
Delira: A High-Level Framework for Deep Learning in Medical Image Analysis. J. Open Source Softw. 4 (38) (2019)
Christoph Haarburger, Philippe Weitz, Oliver Rippel, Dorit Merhof
Image-based Survival Analysis for Lung Cancer Patients using CNNs. CoRR (2018)
Christoph Haarburger, Peter Langenberg, Daniel Truhn, Hannah Schneider, Johannes Thüring, Simone Schrading, Christiane K. Kuhl, Dorit Merhof
Transfer Learning for Breast Cancer Malignancy Classification based on Dynamic Contrast-Enhanced MR Images. Bildverarbeitung für die Medizin (2018)
Christoph Haarburger, Johannes Ruther, Daniel Truhn, Simone Schrading, Daniel Bug, Christiane K. Kuhl, Dorit Merhof
Abbreviated breast biopsy procedure by registration of craniocaudal and mediolateral breast MR images. ISBI (2018)
Simon Koppers, Christoph Haarburger, J. Christopher Edgar, Dorit Merhof
Reliable Estimation of the Number of Compartments in Diffusion MRI. Bildverarbeitung für die Medizin (2017)
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
Towards an algorithm for automatic accelerometer-based pulse presence detection during cardiopulmonary resuscitation. EMBC (2016)
David Friedrich, Christoph Haarburger, Adrián Luna Cobos, Dietrich Meyer-Ebrecht, Alfred Böcking, Dorit Merhof
Segmentierung von Zellkernen für Hochdurchsatz-DNA-Bildzytomerie. Bildverarbeitung für die Medizin (2014)