Takamasa Kudo

发表

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

Euan A. Ashley, Markus W. Covert, David A. Van Valen, 2016, PLoS Comput. Biol..

Deep learning for cellular image analysis

William Graf, Takamasa Kudo, Dylan Bannon, 2019, Nature Methods.

A convex 3D deconvolution algorithm for low photon count fluorescence imaging

Gordon Wetzstein, Michael Broxton, Takamasa Kudo, 2018, Scientific Reports.

NF-κB signaling dynamics is controlled by a dose-sensing autoregulatory loop

Jacob J. Hughey, Markus W. Covert, Takamasa Kudo, 2019, Science Signaling.

The Extraction of Simple Relationships in Growth Factor-Specific Multiple-Input and Multiple-Output Systems in Cell-Fate Decisions by Backward Elimination PLS Regression

Hiroyuki Kubota, Shinsuke Uda, Takamasa Kudo, 2013, PloS one.

Measuring Signaling and RNA-Seq in the Same Cell Links Gene Expression to Dynamic Patterns of NF-κB Activation.

Takamasa Kudo, Keara M. Lane, Derek N. Macklin, 2017, Cell systems.

Laguerre Filter Analysis with Partial Least Square Regression Reveals a Priming Effect of ERK and CREB on c-FOS Induction

Shinsuke Uda, Takumi Wada, Takamasa Kudo, 2016, PloS one.

Controlling low rates of cell differentiation through noise and ultrahigh feedback

Takamasa Kudo, Robert Ahrends, Mary N. Teruel, 2014, Science.

Robustness of MEK-ERK Dynamics and Origins of Cell-to-Cell Variability in MAPK Signaling

Sarah Filippi, Takumi Wada, Katsuyuki Kunida, 2016, Cell reports.