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Christoph Haarburger
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2020 – today
- 2023
- [i9]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 abs/2309.17007 (2023) - 2022
- [j4]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): 1029-1039 (2022) - [i8]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 abs/2211.03364 (2022) - [i7]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 abs/2212.07501 (2022) - [i6]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 abs/2212.09162 (2022) - 2021
- [j3]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
:
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. IEEE Trans. Medical Imaging 40(12): 3543-3554 (2021) - [i5]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 abs/2111.11439 (2021) - 2020
- [c11]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: 1188-1192 - [c10]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: 269-276 - [i4]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 abs/2011.13011 (2020)
2010 – 2019
- 2019
- [j2]Leon Weninger, Christoph Haarburger, Dorit Merhof:
Robustness of Radiomics for Survival Prediction of Brain Tumor Patients Depending on Resection Status. Frontiers Comput. Neurosci. 13: 73 (2019) - [j1]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): 1488 (2019) - [c9]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: 8-13 - [c8]Christoph Haarburger, Philippe Weitz, Oliver Rippel, Dorit Merhof:
Image-Based Survival Prediction for Lung Cancer Patients Using CNNS. ISBI 2019: 1197-1201 - [c7]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: 495-503 - [c6]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: 11-15 - [i3]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 abs/1906.06058 (2019) - [i2]Christoph Haarburger, Justus Schock, Daniel Truhn, Philippe Weitz, Leon Weninger, Dorit Merhof:
Radiomic Feature Stability Analysis based on Probabilistic Segmentations. CoRR abs/1910.05693 (2019) - 2018
- [c5]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: 216-221 - [c4]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: 826-830 - [i1]Christoph Haarburger, Philippe Weitz, Oliver Rippel, Dorit Merhof:
Image-based Survival Analysis for Lung Cancer Patients using CNNs. CoRR abs/1808.09679 (2018) - 2017
- [c3]Simon Koppers, Christoph Haarburger, J. Christopher Edgar, Dorit Merhof:
Reliable Estimation of the Number of Compartments in Diffusion MRI. Bildverarbeitung für die Medizin 2017: 203-208 - 2016
- [c2]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: 3531-3534 - 2014
- [c1]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: 216-221
Coauthor Index
aka: Christiane K. Kuhl
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