Kuhl, Christiane

Swarm Learning for decentralized and confidential clinical machine learning

Warnat-Herresthal, S., Schultze, H., Shastry, K. L., Manamohan, S., Mukherjee, S., Garg, V., Sarveswara, R., Händler, K., Pickkers, P., Aziz, N. A., et al. (2021) · Nature

Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security

Cited by 884

Radiomic versus Convolutional Neural Networks Analysis for Classification of Contrast-enhancing Lesions at Multiparametric Breast MRI

Truhn, D., Schrading, S., Haarburger, C., Schneider, H., Merhof, D., & Kuhl, C. (2019) · Radiology

Radiomics and Machine Learning in Medical ImagingMRI in cancer diagnosis

Cited by 273

Radiomics feature reproducibility under inter-rater variability in segmentations of CT images

Haarburger, C., Müller-Franzes, G., Weninger, L., Kuhl, C., Truhn, D., & Merhof, D. (2020) · Scientific Reports

Radiomics and Machine Learning in Medical ImagingMedical Image Segmentation Techniques

Cited by 139

An MRI deep learning model predicts outcome in rectal cancer

Jiang, X., Zhao, H., Saldanha, O. L., Nebelung, S., Kuhl, C., Amygdalos, I., Lang, S. A., Wu, X., Meng, X., Truhn, D., et al. (2023) · Radiology

Radiomics and Machine Learning in Medical ImagingColorectal Cancer Surgical Treatments

Cited by 127

Large language models streamline automated machine learning for clinical studies

Tayebi Arasteh, S., Han, T., Lotfinia, M., Kuhl, C., Kather, J. N., Truhn, D., & Nebelung, S. (2024) · Nature Communications

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 114

Multimodal Deep Learning for Integrating Chest Radiographs and Clinical Parameters: A Case for Transformers

Khader, F., Müller-Franzes, G., Wang, T., Han, T., Tayebi Arasteh, S., Haarburger, C., Stegmaier, J., Bressem, K., Kuhl, C., Nebelung, S., et al. (2023) · Radiology

Multimodal Machine Learning ApplicationsMachine Learning in Healthcare

Cited by 107

A pilot study on the efficacy of GPT-4 in providing orthopedic treatment recommendations from MRI reports

Truhn, D., Weber, C. D., Braun, B. J., Bressem, K., Kather, J. N., Kuhl, C., & Nebelung, S. (2023) · Scientific Reports

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 71

Medical large language models are susceptible to targeted misinformation attacks

Han, T., Nebelung, S., Khader, F., Wang, T., Müller-Franzes, G., Kuhl, C., Försch, S., Kleesiek, J., Haarburger, C., Bressem, K. K., et al. (2024) · npj Digital Medicine

Adversarial Robustness in Machine LearningArtificial Intelligence in Healthcare and Education

Cited by 62

Skeletal Muscle Composition Predicts Outcome in Critically Ill Patients

Loosen, S. H., Schulze-Hagen, M., Püngel, T., Bündgens, L., Wirtz, T., Kather, J. N., Vucur, M., Paffenholz, P., Demir, M., Bruners, P., et al. (2020) · Critical Care Explorations

Nutrition and Health in AgingClinical Nutrition and Gastroenterology

Cited by 58

Medical transformer for multimodal survival prediction in intensive care: integration of imaging and non-imaging data

Khader, F., Kather, J. N., Müller-Franzes, G., Wang, T., Han, T., Tayebi Arasteh, S., Hamesch, K., Bressem, K., Haarburger, C., Stegmaier, J., et al. (2023) · Scientific Reports

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 57

PET/CT in lung cancer: Influence of contrast medium on quantitative and clinical assessment

Behrendt, F. F., Temur, Y., Verburg, F. A., Palmowski, M., Krohn, T., Pietsch, H., Kuhl, C. K., & Mottaghy, F. M. (2012) · European Radiology

Medical Imaging Techniques and ApplicationsLung Cancer Diagnosis and Treatment

Cited by 12

Multiphase CT scanning and different intravenous contrast media concentrations in combined F-18-FDG PET/CT: Effect on quantitative and clinical assessment

Rebière, M., Verburg, F. A., Palmowski, M., Krohn, T., Pietsch, H., Kuhl, C. K., Mottaghy, F. M., & Behrendt, F. F. (2012) · European Journal of Radiology

Medical Imaging Techniques and ApplicationsRadiation Dose and Imaging

Cited by 10