Meijering, Erik

A benchmark for comparison of cell tracking algorithms

Maška, M., Ulman, V., Svoboda, D., Matula, P., Matula, P., Ederra, C., Urbiola, A., España, T., Venkatesan, S., Balak, D. M. W., et al. (2014) · Bioinformatics

Cell Image Analysis TechniquesAdvanced Fluorescence Microscopy Techniques

Cited by 415

Understanding metric-related pitfalls in image analysis validation

Reinke, A., Tizabi, M. D., Baumgartner, M., Eisenmann, M., Heckmann-Nötzel, D., Kavur, A. E., Rädsch, T., Sudre, C. H., Acion, L., Antonelli, M., et al. (2024) · Nature Methods

Cell Image Analysis TechniquesMedical Image Segmentation Techniques

Cited by 241

In vitro reconstitution of the functional interplay between MCAK and EB3 at microtubule plus ends

Montenegro Gouveia, S., Leslie, K., Kapitein, L. C., Buey, R. M., Grigoriev, I., Wagenbach, M., Smal, I., Meijering, E., Hoogenraad, C. C., Wordeman, L., et al. (2010) · Current Biology

Microtubule and mitosis dynamicsCancer Treatment and Pharmacology

Cited by 147

Common Limitations of Image Processing Metrics: A Picture Story

Reinke, A., Tizabi, M. D., Sudre, C. H., Eisenmann, M., Rädsch, T., Baumgartner, M., Acion, L., Antonelli, M., Arbel, T., Bakas, S., et al. (2021) · arXiv

Medical Image Segmentation TechniquesCell Image Analysis Techniques

Cited by 126

A bird's-eye view of deep learning in bioimage analysis

Meijering, E. (2020) · Computational and Structural Biotechnology Journal

Cell Image Analysis TechniquesAdvanced Neural Network Applications

Cited by 126

Concerted action of kinesins KIF5B and KIF13B promotes efficient secretory vesicle transport to microtubule plus ends

Serra-Marques, A., Martin, M., Katrukha, E. A., Grigoriev, I., Peeters, C. A., Liu, Q., Hooikaas, P. J., Yao, Y., Solianova, V., Smal, I., et al. (2020) · eLife

Microtubule and mitosis dynamicsCellular transport and secretion

Cited by 93

Metrics reloaded: Recommendations for image analysis validation

Maier-Hein, L., Reinke, A., Godau, P., Tizabi, M. D., Buettner, F., Christodoulou, E., Glocker, B., Isensee, F., Kleesiek, J., Kozubek, M., et al. (2022) · arXiv

Cell Image Analysis TechniquesMedical Image Segmentation Techniques

Cited by 59

BioFusionNet: Deep learning-based survival risk stratification in ER+ breast cancer through multifeature and multimodal data fusion

Mondol, R. K., Millar, E. K. A., Sowmya, A., & Meijering, E. (2024) · IEEE Journal of Biomedical and Health Informatics

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 29