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Takamasa Kudo
ORCID
Publication Activity (10 Years)
Years Active: 2016-2024
Publications (10 Years): 3
Top Topics
Deep Learning
Uni Modal
Quantitative Analysis
Experimental Designs
Top Venues
MLCB
RECOMB
PLoS Comput. Biol.
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Publications
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Kexin Huang
,
Romain Lopez
,
Jan-Christian Hütter
,
Takamasa Kudo
,
Antonio Rios
,
Aviv Regev
Sequential Optimal Experimental Design of Perturbation Screens Guided by Multi-modal Priors.
RECOMB
(2024)
Xinming Tu
,
Jan-Christian Hütter
,
Zitong Jerry Wang
,
Takamasa Kudo
,
Aviv Regev
,
Romain Lopez
A Supervised Contrastive Framework for Learning Disentangled Representations of Cellular Perturbation Data.
MLCB
(2023)
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
Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments.
PLoS Comput. Biol.
12 (11) (2016)