Takamasa Kudo

According to our database, Takamasa Kudo authored at least 3 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Sequential Optimal Experimental Design of Perturbation Screens Guided by Multi-modal Priors.

Kexin Huang, Romain Lopez, Jan-Christian Hütter, Takamasa Kudo, Antonio Rios, Aviv Regev

Proceedings of the Research in Computational Molecular Biology, 2024

2023

A Supervised Contrastive Framework for Learning Disentangled Representations of Cellular Perturbation Data.

Xinming Tu, Jan-Christian Hütter, Zitong Jerry Wang, Takamasa Kudo, Aviv Regev, Romain Lopez

Proceedings of the Machine Learning in Computational Biology, November 30, 2023

2016

Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments.

David A. Van Valen, Takamasa Kudo, Keara M. Lane, Derek N. Macklin, Nicolas T. Quach, Mialy M. DeFelice, Inbal Maayan, Yu Tanouchi, Euan A. Ashley, Markus W. Covert

PLoS Comput. Biol., 2016