Author
University of California, Santa Cruz
Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.
3 papers
Recent·Most cited
Abolfazl Zargari, Najmeh Mashhadi, S. Ali Shariati
This paper introduces tGAN, a GAN-based model that generates synthetic time-lapse microscopy data to improve cell tracking by reducing reliance on manual annotations.
Abolfazl Zargari, Benjamin R. Topacio, Najmeh Mashhadi, S. Ali Shariati
This paper proposes a customized CycleGAN to enhance cell segmentation with limited annotated data, showing improved performance over conventional methods.
Abolfazl Zargari, Gerrald A. Lodewijk, Najmeh Mashhadi…·S. Ali Shariati
DeepSea is a deep learning model for segmenting and tracking single cells in time-lapse microscopy images, showing cell size control in embryonic stem cells during G1 phase.