Lippert, Christoph

FaST linear mixed models for genome-wide association studies

Lippert, C., Listgarten, J., Liu, Y., Kadie, C. M., Davidson, R. I., & Heckerman, D. (2011) · Nature Methods

Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestock

Cited by 1,209

Pathogenic variants damage cell composition and single cell transcription in cardiomyopathies

Reichart, D., Lindberg, E. L., Maatz, H., Miranda, A. M. A., Viveiros, A., Shvetsov, N., Gärtner, A., Nadelmann, E. R., Lee, M., Kanemaru, K., et al. (2022) · Science

Cardiomyopathy and Myosin StudiesCardiac electrophysiology and arrhythmias

Cited by 240

Time to reality check the promises of machine learning-powered precision medicine.

Wilkinson, J., Arnold, K. F., Murray, E. J., van Smeden, M., Carr, K., Sippy, R., de Kamps, M., Beam, A., Konigorski, S., Lippert, C., et al. (2020) · The Lancet Digital Health

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 233

ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics

Taleb, A., Kirchler, M., Monti, R., & Lippert, C. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 83

Computer-aided interpretation of chest radiography reveals the spectrum of tuberculosis in rural South Africa

Fehr, J., Konigorski, S., Olivier, S., Gunda, R., Surujdeen, A., Gareta, D., Smit, T., Baisley, K., Moodley, S., Moosa, Y., et al. (2021) · npj Digital Medicine

Tuberculosis Research and EpidemiologyCOVID-19 diagnosis using AI

Cited by 74

CAD4TB software updates: different triaging thresholds require caution by users and regulation by authorities

Fehr, J., Gunda, R., Siedner, M. J., Hanekom, W., Ndung´u, T., Grant, A., Lippert, C., & Wong, E. B. (2023) · The International Journal of Tuberculosis and Lung Disease

Tuberculosis Research and EpidemiologyData-Driven Disease Surveillance

Cited by 19

Token Cropr: Faster ViTs for Quite a Few Tasks

Bergner, B., Lippert, C., & Mahendran, A. (2025) · 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 5