MorphoLibJ: integrated library and plugins for mathematical morphology with ImageJ

By D. Legland, Ignacio Arganda-Carreras, P. Andrey. Bioinform., 2016

1,200 citations recorded by the source corpus.

Subfields: Biophysics, Plant Science

View Paper: https://www.semanticscholar.org/paper/78d054b11a2f91623dffecc1f5a2d372ada0451f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biophysics

1. Curtis T. Rueden
2. Kevin W. Eliceiri
3. Johannes E. Schindelin
4. Mark C. Hiner
5. Alison E. Walter
6. Barry E. DeZonia
7. Ellen T. Arena

In Plant Science

1. Stefan Luding

Citations in the corpus

• An iterative Bayesian filtering framework for fast and automated calibration of DEM models (2019, methodology): “Empowered by the Trainable Weka Segmentation [66] and MorphoLibJ library [67], the workflow is ad hoc developed to (i) segment multiphase 3DXRCT images (Figs.”
• ImageJ2: ImageJ for the next generation of scientific image data (2017, methodology): “References for plugins shown: TrackMate [67], MaMuT [150], Multiview Reconstruction [70, 71], MotherMachine Analyzer (MoMA) [151, 152], Sholl Analysis [74], Kymograph Builder [153], Z-Spacing Correction [154], Trainable Weka Segmentation [155], Pendent Drop [156], SciView [157], BigDataViewer [66], ”