Michael Majurski
Publications by Year
Research Areas
Cell Image Analysis Techniques, Image Processing Techniques and Applications, Adversarial Robustness in Machine Learning, Industrial Vision Systems and Defect Detection, Advanced Neural Network Applications
Most-Cited Works
- → MIST: Accurate and Scalable Microscopy Image Stitching Tool with Stage Modeling and Error Minimization(2017)216 cited
- → Cell Image Segmentation Using Generative Adversarial Networks, Transfer Learning, and Augmentations(2019)83 cited
- → FogBank: a single cell segmentation across multiple cell lines and image modalities(2014)75 cited
- → Lineage mapper: A versatile cell and particle tracker(2016)55 cited
- → Empirical gradient threshold technique for automated segmentation across image modalities and cell lines(2015)52 cited
- → Survey statistics of automated segmentations applied to optical imaging of mammalian cells(2015)48 cited
- → Analyzing U-Net Robustness for Single Cell Nucleus Segmentation from Phase Contrast Images(2020)15 cited
- → Approaches to training multiclass semantic image segmentation of damage in concrete(2020)14 cited
- → Background intensity correction for terabyte‐sized time‐lapse images(2014)12 cited
- → Enabling Stem Cell Characterization from Large Microscopy Images(2016)11 cited