Cheplygina, Veronika

Multiple instance learning: A survey of problem characteristics and applications

Carbonneau, M.-A., Cheplygina, V., Granger, E., & Gagnon, G. (2018) · Pattern Recognition

Machine Learning and AlgorithmsMachine Learning and Data Classification

Cited by 740

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

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

Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis

Cheplygina, V., de Bruijne, M., & Pluim, J. P. W. (2019) · Medical Image Analysis

Domain Adaptation and Few-Shot LearningMedical Image Segmentation Techniques

Cited by 93

Ten simple rules for getting started on Twitter as a scientist.

Cheplygina, V., Hermans, F., Albers, C., Bielczyk, N., & Smeets, I. (2020) · PLOS Computational Biology

Academic Publishing and Open AccessSocial Media in Health Education

Cited by 62

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