5 citations · 7 across the 4 of their papers we have counts for
5 papers
ProtoGTX: Prototype-Aligned Graph Transformer for Explainable Whole-Slide Image Analysis
Iori Azuma, Hiroyuki Kusuhara, Tadahaya Mizuno
Deep learning has achieved strong performance in computational pathology, but explaining whole-slide image (WSI) predictions remains challenging. Existing explanation methods often…
From Syntax to Semantics: Unveiling the Emergence of Chirality in SMILES Translation Models
Zehao Li, Yasuhiro Yoshikai, Shumpei Nemoto +2
Understanding how chemical language models (CLMs) learn chemical meaning from molecular string representations, rather than only surface-level string patterns, is an important ques…
Exploring Multi-Objective Trade-offs in Reference Compound Selection for Validation Studies of Toxicity Assays
Yohei Ohto, Tadahaya Mizuno, Yasuhiro Yoshikai +2
In chemical safety assessment, validation studies rely on reference compound lists to evaluate the applicability of alternative methods prior to regulatory acceptance. These lists…
Molecular notation can act as a shortcut in AI benchmark evaluation
Yosuke Kikuchi, Yasuhiro Yoshikai, Shumpei Nemoto +4
High predictive accuracy does not necessarily mean that an AI model relies on information relevant to its scientific task. Molecular prediction illustrates this concern: the same m…
A novel molecule generative model of VAE combined with Transformer for unseen structure generation
Yasuhiro Yoshikai, Tadahaya Mizuno, Shumpei Nemoto +1
Recently, molecule generation using deep learning has been actively investigated in drug discovery. In this field, Transformer and VAE are widely used as powerful models, but they…