*Japanese*
Developing a GNN-based AI model to predict mitochondrial toxicity using the bagging method , Igarashi Y, Kojima R, Matsumoto S, Iwata H, Okuno Y, Yamada H , The Journal of Toxicological Sciences , 2024.03 , There is Review , The Multiple Authorship , English
Feature extraction of particle morphologies of pharmaceutical excipients from scanning electron microscope images using convolutional neural networks , Iwata H, Hayashi Y, Koyama T, Hasegawa A, Ohgi K, Kobayashi I, Okuno Y , International Journal of Pharmaceutics , 2024.02 , There is Review , The Multiple Authorship , English
VGAE-MCTS: a New Molecular Generative Model combining Variational Graph Auto-Encoder and Monte Carlo Tree Search , Hiroaki Iwata, Taichi Nakai, Takuto Koyama, Shigeyuki Matsumoto, Ryosuke Kojima, Yasushi Okuno , Journal of chemical information and modeling , 2023.11 , There is Review , The Multiple Authorship , English
Improving Compound-Protein Interaction Prediction by Self-Training with Augmenting Negative Samples , Koyama T, Matsumoto S, Iwata H, Kojima R, Okuno Y , Journal of chemical information and modeling , 2023.07 , There is Review , The Multiple Authorship , English
Classification of scanning electron microscope images of pharmaceutical excipients using deep convolutional neural networks with transfer learning , Iwata H, Hayashi Y, Hasegawa A, Terayama K, Okuno Y , International Journal of Pharmaceutics: X , 2022.10 , There is Review , The Multiple Authorship , English
Updated on 2024/05/28