Christoph Haarburger

25 papers Journal 14Unranked 11

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Medical large language models are susceptible to targeted misinformation attacks. npj Digit. Medicine Tianyu Han, Sven Nebelung, Firas Khader, Tianci Wang, Gustav Müller-Franzes, Christiane Kuhl, Sebastian Försch, Jens Kleesiek, Christoph Haarburger, Keno K. Bressem, Jakob Nikolas Kather, Daniel Truhn
2023	J	`jnl`	Medical Foundation Models are Susceptible to Targeted Misinformation Attacks. CoRR 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
2022	J	`jnl`	Diffusion Probabilistic Models beat GANs on Medical Images. CoRR 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
2022	J	`jnl`	Image prediction of disease progression for osteoarthritis by style-based manifold extrapolation. Nat. Mac. Intell. 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
2022	J	`jnl`	Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging Diverse Data for More Accurate Diagnosis. CoRR 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
2022	J	`jnl`	Medical Diffusion - Denoising Diffusion Probabilistic Models for 3D Medical Image Generation. CoRR 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
2021	J	`jnl`	Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. IEEE Trans. Medical Imaging 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
2021	J	`jnl`	Predicting Osteoarthritis Progression in Radiographs via Unsupervised Representation Learning. CoRR 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
2020	—	`conf`	Adaptive Preprocessing for Generalization in Cardiac MR Image Segmentation. M&Ms and EMIDEC/STACOM@MICCAI Firas Khader, Justus Schock, Daniel Truhn, Fabian Morsbach, Christoph Haarburger
2020	J	`jnl`	Advancing diagnostic performance and clinical usability of neural networks via adversarial training and dual batch normalization. CoRR Tianyu Han, Sven Nebelung, Federico Pedersoli, Markus Zimmermann, Maximilian Schulze-Hagen, Michael Ho, Christoph Haarburger, Fabian Kiessling, Christiane Kuhl, Volkmar Schulz, Daniel Truhn
2020	—	`conf`	Radiomic Feature Stability Analysis Based on Probabilistic Segmentations. ISBI Christoph Haarburger, Justus Schock, Daniel Truhn, Philippe Weitz, Gustav Mueller-Franzes, Leon Weninger, Dorit Merhof
2019	J	`jnl`	Delira: A High-Level Framework for Deep Learning in Medical Image Analysis. J. Open Source Softw. Christoph Haarburger, Justus Schock, Michael Baumgartner, Oliver Rippel, Dorit Merhof
2019	—	`conf`	Image-Based Survival Prediction for Lung Cancer Patients Using CNNS. ISBI Christoph Haarburger, Philippe Weitz, Oliver Rippel, Dorit Merhof
2019	—	`conf`	Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification. MICCAI (4) Christoph Haarburger, Michael Baumgartner, Daniel Truhn, Mirjam Broeckmann, Hannah Schneider, Simone Schrading, Christiane Kuhl, Dorit Merhof
2019	J	`jnl`	Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification. CoRR Christoph Haarburger, Michael Baumgartner, Daniel Truhn, Mirjam Broeckmann, Hannah Schneider, Simone Schrading, Christiane Kuhl, Dorit Merhof
2019	—	`conf`	Multiparametric Magnetic Resonance Image Synthesis using Generative Adversarial Networks. VCBM Christoph Haarburger, Nicolas Horst, Daniel Truhn, Mirjam Broeckmann, Simone Schrading, Christiane Kuhl, Dorit Merhof
2019	—	`conf`	Prediction of Liver Function Based on DCE-CT. Bildverarbeitung für die Medizin Oliver Rippel, Daniel Truhn, Johannes Thüring, Christoph Haarburger, Christiane K. Kuhl, Dorit Merhof
2019	J	`jnl`	Radiomic Feature Stability Analysis based on Probabilistic Segmentations. CoRR Christoph Haarburger, Justus Schock, Daniel Truhn, Philippe Weitz, Leon Weninger, Dorit Merhof
2019	J	`jnl`	Robustness of Radiomics for Survival Prediction of Brain Tumor Patients Depending on Resection Status. Frontiers Comput. Neurosci. Leon Weninger, Christoph Haarburger, Dorit Merhof
2018	—	`conf`	Abbreviated breast biopsy procedure by registration of craniocaudal and mediolateral breast MR images. ISBI Christoph Haarburger, Johannes Ruther, Daniel Truhn, Simone Schrading, Daniel Bug, Christiane K. Kuhl, Dorit Merhof
2018	J	`jnl`	Image-based Survival Analysis for Lung Cancer Patients using CNNs. CoRR Christoph Haarburger, Philippe Weitz, Oliver Rippel, Dorit Merhof
2018	—	`conf`	Transfer Learning for Breast Cancer Malignancy Classification based on Dynamic Contrast-Enhanced MR Images. Bildverarbeitung für die Medizin Christoph Haarburger, Peter Langenberg, Daniel Truhn, Hannah Schneider, Johannes Thüring, Simone Schrading, Christiane K. Kuhl, Dorit Merhof
2017	—	`conf`	Reliable Estimation of the Number of Compartments in Diffusion MRI. Bildverarbeitung für die Medizin Simon Koppers, Christoph Haarburger, J. Christopher Edgar, Dorit Merhof
2016	—	`conf`	Towards an algorithm for automatic accelerometer-based pulse presence detection during cardiopulmonary resuscitation. EMBC 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
2014	—	`conf`	Segmentierung von Zellkernen für Hochdurchsatz-DNA-Bildzytomerie. Bildverarbeitung für die Medizin David Friedrich, Christoph Haarburger, Adrián Luna Cobos, Dietrich Meyer-Ebrecht, Alfred Böcking, Dorit Merhof