| Predicting the future direction of cell movement with convolutional neural networks S Nishimoto, Y Tokuoka, TG Yamada, NF Hiroi, A Funahashi PloS one 14 (9), 2019 | 1 | 2019 |
| Transcriptome analysis of the anhydrobiotic cell line Pv11 infers the mechanism of desiccation tolerance and recovery TG Yamada, Y Suetsugu, R Deviatiiarov, O Gusev, R Cornette, ... Scientific reports 8 (1), 1-11, 2018 | 1 | 2018 |
| Activation of cell migration via morphological changes in focal adhesions depends on shear stress in MYCN-amplified neuroblastoma cells T Hiraiwa, TG Yamada, N Miki, A Funahashi, N Hiroi Journal of the Royal Society Interface 16 (152), 20180934, 2019 | | 2019 |
| Deep Learning for Non-Invasive Determination of the Differentiation Status of Human Neuronal Cells by Using Phase-Contrast Photomicrographs M Ooka, Y Tokuoka, S Nishimoto, NF Hiroi, TG Yamada, A Funahashi Applied Sciences 9 (24), 5503, 2019 | | 2019 |
| XitoSBML: a modeling tool for creating spatial SBML models from microscopic images K Ii, K Mashimo, M Ozeki, TG Yamada, NF Hiroi, A Funahashi Frontiers in genetics 10, 1027, 2019 | | 2019 |
| Quantitative analysis of sensitivity to a Wnt3a gradient in determination of the pole‐to‐pole axis of mitotic cells by using a microfluidic device T Hiraiwa, Y Nakai, TG Yamada, R Tanimoto, H Kimura, Y Matsumoto, ... FEBS open bio 8 (12), 1920-1935, 2018 | | 2018 |
