Automatic Counting of Dynamic Technical Actions using Computer Vision in the Biomechanical Risk Assessment of Work-Related Musculoskeletal Disorders of the Upper Limb

6. Contreras, D. V., Härtel, S., & Zeman, V. C. (2024, December). Automatic Counting of Dynamic Technical Actions using Computer Vision in the Biomechanical Risk Assessment of Work-Related Musculoskeletal Disorders of the Upper Limb. In 2024 International Symposium on 3D Analysis of Human Movement (3DAHM) (pp. 1-6). IEEE

Human-in-the-Loop—A Deep Learning Strategy in Combination with a Patient-Specific Gaussian Mixture Model Leads to the Fast Characterization of Volumetric Ground-Glass Opacity and Consolidation in the Computed Tomography Scans of COVID-19 Patients.

Vásquez-Venegas, C., Sotomayor, C. G., Ramos, B., Castañeda, V., Pereira, G., Cabrera-Vives, G., & Härtel, S. (2024). Human-in-the-Loop—A Deep Learning Strategy in Combination with a Patient-Specific Gaussian Mixture Model Leads to the Fast Characterization of Volumetric Ground-Glass Opacity and Consolidation in the Computed Tomography Scans of COVID-19 Patients. Journal of clinical medicine, 13(17), 5231

Proteus mirabilis biofilm expansion microscopy yields over 4-fold magnification for super-resolution of biofilm structure and subcellular DNA organization.

Castagnini, D., Palma, K., Jara-Wilde, J., Navarro, M. N., González, M. J., Toledo, J., … & Härtel, S. (2024). Proteus mirabilis biofilm expansion microscopy yields over 4-fold magnification for super-resolution of biofilm structure and subcellular DNA organization. Journal of Microbiological Methods, 106927.