Segmentierung von Zellkernen für Hochdurchsatz-DNA-Bildzytomerie. - David Friedrich; Christoph Haarburger; Adrián Luna Cobos; Dietrich Meyer-Ebrecht; Alfred Böcking; Dorit Merhof (Bildverarbeitung für die Medizin, 2014)

Towards an algorithm for automatic accelerometer-based pulse presence detection during cardiopulmonary resuscitation. - 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 (EMBC, 2016)

Reliable Estimation of the Number of Compartments in Diffusion MRI. - Simon Koppers; Christoph Haarburger; J. Christopher Edgar; Dorit Merhof (Bildverarbeitung für die Medizin, 2017)

Transfer Learning for Breast Cancer Malignancy Classification based on Dynamic Contrast-Enhanced MR Images. - Christoph Haarburger; Peter Langenberg; Daniel Truhn; Hannah Schneider; Johannes Thüring; Simone Schrading; Christiane K. Kuhl; Dorit Merhof (Bildverarbeitung für die Medizin, 2018)

Abbreviated breast biopsy procedure by registration of craniocaudal and mediolateral breast MR images. - Christoph Haarburger; Johannes Ruther; Daniel Truhn; Simone Schrading; Daniel Bug; Christiane K. Kuhl; Dorit Merhof (ISBI, 2018)

Image-based Survival Analysis for Lung Cancer Patients using CNNs. - Christoph Haarburger; Philippe Weitz; Oliver Rippel; Dorit Merhof (CoRR, 2018)

Prediction of Liver Function Based on DCE-CT. - Oliver Rippel; Daniel Truhn; Johannes Thüring; Christoph Haarburger; Christiane K. Kuhl; Dorit Merhof (Bildverarbeitung für die Medizin, 2019)

Image-Based Survival Prediction for Lung Cancer Patients Using CNNS. - Christoph Haarburger; Philippe Weitz; Oliver Rippel; Dorit Merhof (ISBI, 2019)

Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification. - Christoph Haarburger; Michael Baumgartner 001; Daniel Truhn; Mirjam Broeckmann; Hannah Schneider; Simone Schrading; Christiane Kuhl; Dorit Merhof (MICCAI (4), 2019)

Multiparametric Magnetic Resonance Image Synthesis using Generative Adversarial Networks. - Christoph Haarburger; Nicolas Horst; Daniel Truhn; Mirjam Broeckmann; Simone Schrading; Christiane Kuhl; Dorit Merhof (VCBM, 2019)

Radiomic Feature Stability Analysis based on Probabilistic Segmentations. - Christoph Haarburger; Justus Schock; Daniel Truhn; Philippe Weitz; Leon Weninger; Dorit Merhof (CoRR, 2019)

Robustness of Radiomics for Survival Prediction of Brain Tumor Patients Depending on Resection Status. - Leon Weninger; Christoph Haarburger; Dorit Merhof (Frontiers Comput. Neurosci., 2019)

Delira: A High-Level Framework for Deep Learning in Medical Image Analysis. - Christoph Haarburger; Justus Schock; Michael Baumgartner 001; Oliver Rippel; Dorit Merhof (J. Open Source Softw., 2019)

Radiomic Feature Stability Analysis Based on Probabilistic Segmentations. - Christoph Haarburger; Justus Schock; Daniel Truhn; Philippe Weitz; Gustav Mueller-Franzes; Leon Weninger; Dorit Merhof (ISBI, 2020)

Adaptive Preprocessing for Generalization in Cardiac MR Image Segmentation. - Firas Khader; Justus Schock; Daniel Truhn; Fabian Morsbach; Christoph Haarburger (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

Advancing diagnostic performance and clinical usability of neural networks via adversarial training and dual batch normalization. - Tianyu Han; Sven Nebelung; Federico Pedersoli; Markus Zimmermann; Maximilian Schulze-Hagen; Michael Ho; Christoph Haarburger; Fabian Kiessling; Christiane Kuhl; Volkmar Schulz; Daniel Truhn (CoRR, 2020)

Predicting Osteoarthritis Progression in Radiographs via Unsupervised Representation Learning. - 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; et al. (CoRR, 2021)

Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. - Víctor M. Campello; Polyxeni Gkontra; Cristian Izquierdo; Carlos Martín-Isla; Alireza Sojoudi; Peter M. Full; Klaus H. Maier-Hein; Yao Zhang 010; Zhiqiang He 002; Jun Ma 016; Mario Parreño; Alberto Albiol; et al. (IEEE Trans. Medical Imaging, 2021)

Medical Diffusion - Denoising Diffusion Probabilistic Models for 3D Medical Image Generation. - 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; et al. (CoRR, 2022)

Diffusion Probabilistic Models beat GANs on Medical Images. - 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 (CoRR, 2022)

Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging Diverse Data for More Accurate Diagnosis. - 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 (CoRR, 2022)

Image prediction of disease progression for osteoarthritis by style-based manifold extrapolation. - 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; et al. (Nat. Mac. Intell., 2022)

Medical Foundation Models are Susceptible to Targeted Misinformation Attacks. - 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 (CoRR, 2023)

Medical large language models are susceptible to targeted misinformation attacks. - 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 (npj Digit. Medicine, 2024)