Author

Chisatao Kumada

Doshisha University

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Biology Disciplines

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Neuroscience· 1

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Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Approach:diffusion model· 1 Research Focus:gene regulatory network inference· 1 Research Focus:spatial domain detection· 1 Approach:transformer / foundation model· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Satoru HiwaiD· 1 shared Tomoyuki HiroyasuiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperNeuroscience

Satoru HiwaORCID

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1 paper

Recent·Most cited

Comparative Evaluation of Deep Generative Models for Capturing Topological Features in Brain Structural Connectivity

Chisatao Kumada, Tomoyuki Hiroyasu, Satoru Hiwa

This study compares deep generative models for generating brain structural connectivity data, finding that WGAN-GP provides the most stable performance while VAE and DDPM have application-specific strengths.

bioRxiv · Jun 8, 2026 · PreprintNeuroscience