Abolfazl Zargari

E2F1 induces a G0-G1 reentry transcriptional program without changing chromatin accessibility

The paper shows E2F1 induces cell-cycle reentry without changing chromatin accessibility by using pre-existing regulatory elements.

Enhanced Cell Tracking Using A GAN-based Super-Resolution Video-to-Video Time-Lapse Microscopy Generative Model

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.

Enhanced cell segmentation with limited annotated data using generative adversarial networks

This paper proposes a customized CycleGAN to enhance cell segmentation with limited annotated data, showing improved performance over conventional methods.

Self-organization of embryonic stem cells into a reproducible embryo model through epigenome editing

This paper shows that CRISPRa activation of two endogenous regulatory elements can self-organize ESCs into embryo-like structures with spatial and molecular features similar to pre-gastrulation mouse embryos.

DeepSea: An efficient deep learning model for single-cell segmentation and tracking of time-lapse microscopy images

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.