Christoph Haarburger
Christoph Haarburger
CTO and Co-Founder at ocumeda
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
Multi-centre, multi-vendor and multi-disease cardiac segmentation: the M&Ms challenge
VM Campello, P Gkontra, C Izquierdo, C Martin-Isla, A Sojoudi, PM Full, ...
IEEE Transactions on Medical Imaging 40 (12), 3543-3554, 2021
Radiomic versus convolutional neural networks analysis for classification of contrast-enhancing lesions at multiparametric breast MRI
D Truhn, S Schrading, C Haarburger, H Schneider, D Merhof, C Kuhl
Radiology 290 (2), 290-297, 2019
Radiomics feature reproducibility under inter-rater variability in segmentations of CT images
C Haarburger, G Müller-Franzes, L Weninger, C Kuhl, D Truhn, D Merhof
Scientific Reports 10 (1), 1-10, 2020
Image-Based Survival Prediction for Lung Cancer Patients Using CNNS
C Haarburger, P Weitz, O Rippel, D Merhof
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
Diffusion MRI signal augmentation: from single shell to multi shell with deep learning
S Koppers, C Haarburger, D Merhof
International Conference on Medical Image Computing and Computer-Assisted …, 2017
Breaking medical data sharing boundaries by using synthesized radiographs
T Han, S Nebelung, C Haarburger, N Horst, S Reinartz, D Merhof, ...
Science Advances 6 (49), eabb7973, 2020
Diffusion Probabilistic Models beat GANs on Medical Images
G Müller-Franzes, JM Niehues, F Khader, ST Arasteh, C Haarburger, ...
arXiv preprint arXiv:2212.07501, 2022
Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification
C Haarburger, M Baumgartner, D Truhn, M Broeckmann, H Schneider, ...
Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
Medical Diffusion--Denoising Diffusion Probabilistic Models for 3D Medical Image Generation
F Khader, G Mueller-Franzes, ST Arasteh, T Han, C Haarburger, ...
arXiv preprint arXiv:2211.03364, 2022
Robustness of radiomics for survival prediction of brain tumor patients depending on resection status
L Weninger, C Haarburger, D Merhof
Frontiers in computational neuroscience 13, 73, 2019
Advancing diagnostic performance and clinical usability of neural networks via adversarial training and dual batch normalization
T Han, S Nebelung, F Pedersoli, M Zimmermann, M Schulze-Hagen, ...
Nature Communications 12 (1), 1-11, 2021
Transfer Learning for Breast Cancer Malignancy Classification based on Dynamic Contrast-Enhanced MR Images
C Haarburger, P Langenberg, D Truhn, H Schneider, J Thüring, ...
Bildverarbeitung für die Medizin (BVM), 2018
Multiparametric Magnetic Resonance Image Synthesis using Generative Adversarial Networks.
C Haarburger, N Horst, D Truhn, M Broeckmann, S Schrading, C Kuhl, ...
VCBM, 11-15, 2019
Denoising diffusion probabilistic models for 3D medical image generation
F Khader, G Müller-Franzes, S Tayebi Arasteh, T Han, C Haarburger, ...
Scientific Reports 13 (1), 7303, 2023
Artificial intelligence for clinical interpretation of bedside chest radiographs
F Khader, T Han, G Müller-Franzes, L Huck, P Schad, S Keil, E Barzakova, ...
Radiology, 220510, 2022
Multiphase CT-based prediction of Child-Pugh classification: a machine learning approach
J Thüring, O Rippel, C Haarburger, D Merhof, P Schad, P Bruners, ...
European radiology experimental 4 (1), 1-9, 2020
Adaptive preprocessing for generalization in cardiac MR image segmentation
F Khader, J Schock, D Truhn, F Morsbach, C Haarburger
International Workshop on Statistical Atlases and Computational Models of …, 2021
Towards an algorithm for automatic accelerometer-based pulse presence detection during cardiopulmonary resuscitation
K Dellimore, R Wijshoff, C Haarburger, V Aarts, R Derkx, J van de Laar, ...
2016 38th Annual International Conference of the IEEE Engineering in …, 2016
Image prediction of disease progression for osteoarthritis by style-based manifold extrapolation
T Han, JN Kather, F Pedersoli, M Zimmermann, S Keil, M Schulze-Hagen, ...
Nature Machine Intelligence, 1-11, 2022
Elevating Fundoscopic Evaluation to Expert Level-Automatic Glaucoma Detection Using Data from the Airogs Challenge
F Khader, C Haarburger, JC Kirr, M Menke, JN Kather, J Stegmaier, ...
2022 IEEE International Symposium on Biomedical Imaging Challenges (ISBIC), 1-4, 2022
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