Folgen
Christoph Haarburger
Christoph Haarburger
CTO and Co-Founder at ocumeda
Bestätigte E-Mail-Adresse bei rwth-aachen.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
1292019
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
1072021
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
412020
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 …, 2016
322016
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
312019
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
182019
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
162019
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
162018
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
152020
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
102019
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
72021
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
72020
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
72016
Reliable Estimation of the Number of Compartments in Diffusion MRI
S Koppers, C Haarburger, JC Edgar, D Merhof
Bildverarbeitung für die Medizin 2017, 203-208, 2017
52017
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 …, 2020
42020
Radiomic Feature Stability Analysis Based on Probabilistic Segmentations
C Haarburger, J Schock, D Truhn, P Weitz, G Mueller-Franzes, ...
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1188-1192, 2020
42020
Delira: A High-Level Framework for Deep Learning in Medical Image Analysis
C Haarburger, J Schock, M Baumgartner, O Rippel, D Merhof
Journal of Open Source Software, 2019
22019
Reliability as a Precondition for Trust—Segmentation Reliability Analysis of Radiomic Features Improves Survival Prediction
G Müller-Franzes, S Nebelung, J Schock, C Haarburger, F Khader, ...
Diagnostics 12 (2), 247, 2022
2022
Predicting Osteoarthritis Progression in Radiographs via Unsupervised Representation Learning
T Han, JN Kather, F Pedersoli, M Zimmermann, S Keil, M Schulze-Hagen, ...
arXiv preprint arXiv:2111.11439, 2021
2021
Digitalisierte Radiologie
J Rüther, C Haarburger, C Agten
Arthritis und Rheuma 41 (03), 199-203, 2021
2021
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20