Reliable cell tracking by global data association
By Ryoma Bise, Zhaozheng Yin, Takeo Kanade. 2011
106 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Medical Imaging
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Carlos Ortiz-de-Solorzano
- Arrate Muñoz-Barrutia
- Fred A. Hamprecht
- Erik H. W. Meijering
- Oleh Dzyubachyk
- Joakim Jaldén
- Klas E. G. Magnusson
- Pavel Krízek
In Computer Vision and Pattern Recognition
- Erik H. W. Meijering
- Carlos Ortiz-de-Solorzano
- Arrate Muñoz-Barrutia
- Fred A. Hamprecht
- David Svoboda
- Oleh Dzyubachyk
- Joakim Jaldén
- Klas E. G. Magnusson
In Molecular Biology
- Erik H. W. Meijering
- Oleh Dzyubachyk
- Joakim Jaldén
- Klas E. G. Magnusson
- Helen M. Blau
- Andrey Kan
- Oren Z. Kraus
- Brendan J. Frey
In Medical Imaging
Citations in the corpus
- A benchmark for comparison of cell tracking algorithms (2014, methodology): “After the ISBI 2013 workshop, the organizing committee confirmed the accuracy of the submitted results and compiled the final rankings presented in this article.”
- An Objective Comparison of Cell Tracking Algorithms (2017, unknown): “Branching Correctness (BC(i)) 28,29 : BC(i) examines how good a method is at reconstructing mother-daughter relationships.”
- Keeping count: Leveraging temporal context to count heavily overlapping objects (2013, methodology): “Akin [3, 9, 11], we formulate the MAP inference step as an integer linear program (ILP) that is solved with a standard software package [1].”
- A batch algorithm using iterative application of the Viterbi algorithm to track cells and construct cell lineages (2012, methodology): “As in the computation of the mitosis recall in [10], mitotic and apoptotic events were considered correct if there was a corresponding ground truth event within 50 minutes of the detected event.”