Christiane Kuhl

38 papers Journal 31Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The role of self-supervised pretraining in differentially private medical image analysis. CoRR Soroosh Tayebi Arasteh, Mina Farajiamiri, Mahshad Lotfinia, Behrus Hinrichs-Puladi, Jonas Bienzeisler, Mohamed Alhaskir, Mirabela Rusu, Christiane Kuhl, Sven Nebelung, Daniel Truhn
2025	J	`jnl`	A European Multi-Center Breast Cancer MRI Dataset. CoRR Gustav Müller-Franzes, Lorena Escudero Sanchez, Nicholas Payne, Alexandra Athanasiou, Michael Kalogeropoulos, Aitor Lopez, Alfredo Miguel Soro Busto, Julia Camps Herrero, Nika Rasoolzadeh, Tianyu Zhang, Ritse Mann, Debora Jutz, Maike Bode, Christiane Kuhl, Wouter Veldhuis, Oliver Lester Saldanha, Jiefu Zhu, Jakob Nikolas Kather, Daniel Truhn, Fiona J. Gilbert
2025	J	`jnl`	Effect of Reporting Mode and Clinical Experience on Radiologists' Gaze and Image Analysis Behavior in Chest Radiography. CoRR Mahta Khoobi, Marc Sebastian von der Stueck, Felix Barajas Ordonez, Anca-Maria Iancu, Eric Corban, Julia Nowak, Aleksandar Kargaliev, Valeria Perelygina, Anna-Sophie Schott, Daniel Pinto dos Santos, Christiane Kuhl, Daniel Truhn, Sven Nebelung, Robert Siepmann
2025	J	`jnl`	Hallucination Filtering in Radiology Vision-Language Models Using Discrete Semantic Entropy. CoRR Patrick Wienholt, Anne-Sophie Caselitz, Robert Siepmann, Philipp Bruners, Keno K. Bressem, Christiane Kuhl, Jakob Nikolas Kather, Sven Nebelung, Daniel Truhn
2025	J	`jnl`	Large Language Model-Based Uncertainty-Adjusted Label Extraction for Artificial Intelligence Model Development in Upper Extremity Radiography. CoRR Hanna Kreutzer, Anne-Sophie Caselitz, Thomas Dratsch, Daniel Pinto dos Santos, Christiane Kuhl, Daniel Truhn, Sven Nebelung
2025	J	`jnl`	MedicalPatchNet: A Patch-Based Self-Explainable AI Architecture for Chest X-ray Classification. CoRR Patrick Wienholt, Christiane Kuhl, Jakob Nikolas Kather, Sven Nebelung, Daniel Truhn
2025	J	`jnl`	Resolution scaling governs DINOv3 transfer performance in chest radiograph classification. CoRR Soroosh Tayebi Arasteh, Mina Shaigan, Christiane Kuhl, Jakob Nikolas Kather, Sven Nebelung, Daniel Truhn
2024	J	`jnl`	An Ordinal Regression Framework for a Deep Learning Based Severity Assessment for Chest Radiographs. CoRR Patrick Wienholt, Alexander Hermans, Firas Khader, Behrus Puladi, Bastian Leibe, Christiane Kuhl, Sven Nebelung, Daniel Truhn
2024	J	`jnl`	Encrypted federated learning for secure decentralized collaboration in cancer image analysis. Medical Image Anal. Daniel Truhn, Soroosh Tayebi Arasteh, Oliver Lester Saldanha, Gustav Müller-Franzes, Firas Khader, Philip Quirke, Nicholas P. West, Richard Gray, Gordon G. A. Hutchins, Jacqueline A. James, Maurice B. Loughrey, Manuel Salto-Tellez, Hermann Brenner, Alexander Brobeil, Tanwei Yuan, Jenny Chang-Claude, Michael Hoffmeister, Sebastian Foersch, Tianyu Han, Sebastian Keil, Maximilian Schulze-Hagen, Peter Isfort, Philipp Bruners, Georgios Kaissis, Christiane Kuhl, Sven Nebelung, Jakob Nikolas Kather
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
2024	J	`jnl`	RadioRAG: Factual Large Language Models for Enhanced Diagnostics in Radiology Using Dynamic Retrieval Augmented Generation. CoRR Soroosh Tayebi Arasteh, Mahshad Lotfinia, Keno K. Bressem, Robert Siepmann, Dyke Ferber, Christiane Kuhl, Jakob Nikolas Kather, Sven Nebelung, Daniel Truhn
2023	—	`conf`	Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers. MLMI@MICCAI (2) Firas Khader, Jakob Nikolas Kather, Tianyu Han, Sven Nebelung, Christiane Kuhl, Johannes Stegmaier, Daniel Truhn
2023	J	`jnl`	Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers. CoRR Firas Khader, Jakob Nikolas Kather, Tianyu Han, Sven Nebelung, Christiane Kuhl, Johannes Stegmaier, Daniel Truhn
2023	J	`jnl`	Empowering Clinicians and Democratizing Data Science: Large Language Models Automate Machine Learning for Clinical Studies. CoRR Soroosh Tayebi Arasteh, Tianyu Han, Mahshad Lotfinia, Christiane Kuhl, Jakob Nikolas Kather, Daniel Truhn, Sven Nebelung
2023	J	`jnl`	Fibroglandular Tissue Segmentation in Breast MRI using Vision Transformers - A multi-institutional evaluation. CoRR Gustav Müller-Franzes, Fritz Müller-Franzes, Luisa Huck, Vanessa Raaff, Eva Kemmer, Firas Khader, Soroosh Tayebi Arasteh, Teresa Nolte, Jakob Nikolas Kather, Sven Nebelung, Christiane Kuhl, 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
2023	J	`jnl`	Mind the Gap: Federated Learning Broadens Domain Generalization in Diagnostic AI Models. CoRR Soroosh Tayebi Arasteh, Christiane Kuhl, Marwin-Jonathan Saehn, Peter Isfort, Daniel Truhn, Sven Nebelung
2023	J	`jnl`	Preserving privacy in domain transfer of medical AI models comes at no performance costs: The integral role of differential privacy. CoRR Soroosh Tayebi Arasteh, Mahshad Lotfinia, Teresa Nolte, Marwin Saehn, Peter Isfort, Christiane Kuhl, Sven Nebelung, Georgios Kaissis, Daniel Truhn
2023	J	`jnl`	Private, fair and accurate: Training large-scale, privacy-preserving AI models in radiology. CoRR Soroosh Tayebi Arasteh, Alexander Ziller, Christiane Kuhl, Marcus R. Makowski, Sven Nebelung, Rickmer Braren, Daniel Rueckert, Daniel Truhn, Georgios Kaissis
2023	J	`jnl`	Reconstruction of Patient-Specific Confounders in AI-based Radiologic Image Interpretation using Generative Pretraining. CoRR Tianyu Han, Laura Zigutyte, Luisa Huck, Marc Huppertz, Robert Siepmann, Yossi Gandelsman, Christian Blüthgen, Firas Khader, Christiane Kuhl, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn
2023	J	`jnl`	Transformers for CT Reconstruction From Monoplanar and Biplanar Radiographs. CoRR Firas Khader, Gustav Müller-Franzes, Tianyu Han, Sven Nebelung, Christiane Kuhl, Johannes Stegmaier, Daniel Truhn
2023	—	`conf`	Transformers for CT Reconstruction from Monoplanar and Biplanar Radiographs. SASHIMI@MICCAI Firas Khader, Gustav Müller-Franzes, Tianyu Han, Sven Nebelung, Christiane Kuhl, Johannes Stegmaier, Daniel Truhn
2022	J	`jnl`	Automated major psoas muscle volumetry in computed tomography using machine learning algorithms. Int. J. Comput. Assist. Radiol. Surg. Felix Duong, Michael Gadermayr, Dorit Merhof, Christiane Kuhl, Philipp Bruners, Sven H. Loosen, Christoph Roderburg, Daniel Truhn, Maximilian F. Schulze-Hagen
2022	J	`jnl`	Collaborative Training of Medical Artificial Intelligence Models with non-uniform Labels. CoRR Soroosh Tayebi Arasteh, Peter Isfort, Marwin Saehn, Gustav Mueller-Franzes, Firas Khader, Jakob Nikolas Kather, Christiane Kuhl, Sven Nebelung, 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`	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`	A Method for Semantic Knee Bone and Cartilage Segmentation with Deep 3D Shape Fitting Using Data from the Osteoarthritis Initiative. ShapeMI@MICCAI Justus Schock, Marcin Kopaczka, Benjamin Agthe, Jie Huang, Paul Kruse, Daniel Truhn, Stefan Conrad, Gerald Antoch, Christiane Kuhl, Sven Nebelung, Dorit Merhof
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
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
2013	J	`jnl`	Black Box Integration of Computer-Aided Diagnosis into PACS Deserves a Second Chance: Results of a Usability Study Concerning Bone Age Assessment. J. Digit. Imaging Ina Geldermann, Christoph Grouls, Christiane Kuhl, Thomas Martin Deserno, Cord Spreckelsen
2012	—	`conf`	IRMA Code II - A New Concept for Classification of Medical Images. Bildverarbeitung für die Medizin Tim-Christian Piesch, Henning Müller, Christiane Kuhl, Thomas Martin Deserno
2012	—	`conf`	IRMA Code II: Unique Annotation of Medical Images for Access and Retrieval. MIE Tim-Christian Piesch, Henning Müller, Christiane Kuhl, Thomas Martin Deserno
2011	J	`jnl`	Bridging the integration gap between imaging and information systems: a uniform data concept for content-based image retrieval in computer-aided diagnosis. J. Am. Medical Informatics Assoc. Petra Welter, Jörg Riesmeier, Benedikt Fischer, Christoph Grouls, Christiane Kuhl, Thomas Martin Deserno