Tomoyuki Miyao

21 papers Journal 20Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	NuclSeg-v2.0: Nuclei segmentation using semi-supervised stain deconvolution with real-time user feedback. Pattern Recognit. Haixin Wang, Jian Yang, Ryohei Katayama, Michiya Matusaki, Tomoyuki Miyao, Ying Li, Jinjia Zhou
2026	J	`jnl`	Robotic system for chemical experiment automation with dual demonstration of end-effector and jig operations. Int. J. Intell. Robotics Appl. Hikaru Sasaki, Naoto Komeno, Takumi Hachimine, Kei Takahashi, Yu-ya Ohnishi, Tetsunori Sugawara, Araki Wakiuchi, Miho Hatanaka, Tomoyuki Miyao, Hiroharu Ajiro, Mikiya Fujii, Takamitsu Matsubara
2025	J	`jnl`	Robotic System for Chemical Experiment Automation with Dual Demonstration of End-effector and Jig Operations. CoRR Hikaru Sasaki, Naoto Komeno, Takumi Hachimine, Kei Takahashi, Yu-ya Ohnishi, Tetsunori Sugawara, Araki Wakiuchi, Miho Hatanaka, Tomoyuki Miyao, Hiroharu Ajiro, Mikiya Fujii, Takamitsu Matsubara
2025	J	`jnl`	Understanding Conformation Importance in Data-Driven Property Prediction Models. J. Chem. Inf. Model. Yu Hamakawa, Tomoyuki Miyao
2024	J	`jnl`	Analog Accessibility Score (AAscore) for Rational Compound Selection. J. Chem. Inf. Model. Takato Ue, Akinori Sato, Tomoyuki Miyao
2024	J	`jnl`	Scaffold-Hopped Compound Identification by Ligand-Based Approaches with a Prospective Affinity Test. J. Chem. Inf. Model. Itsuki Maeda, Shunsuke Tamura, Yoshihiro Ogura, Takayuki Serizawa, Takashi Shimada, Ryo Kunimoto, Tomoyuki Miyao
2023	J	`jnl`	Large-scale prediction of activity cliffs using machine and deep learning methods of increasing complexity. J. Cheminformatics Shunsuke Tamura, Tomoyuki Miyao, Jürgen Bajorath
2023	—	`conf`	NuclSeg: nuclei segmentation using semi-supervised stain deconvolution. MMAsia Haixin Wang, Jian Yang, Ryohei Katayama, Michiya Matsusaki, Tomoyuki Miyao, Jinjia Zhou
2022	J	`jnl`	Ligand-based approaches to activity prediction for the early stage of structure-activity-relationship progression. J. Comput. Aided Mol. Des. Itsuki Maeda, Akinori Sato, Shunsuke Tamura, Tomoyuki Miyao
2021	J	`jnl`	Comparing predictive ability of QSAR/QSPR models using 2D and 3D molecular representations. J. Comput. Aided Mol. Des. Akinori Sato, Tomoyuki Miyao, Swarit Jasial, Kimito Funatsu
2021	J	`jnl`	Sparse Topological Pharmacophore Graphs for Interpretable Scaffold Hopping. J. Chem. Inf. Model. Hiroshi Nakano, Tomoyuki Miyao, Swarit Jasial, Kimito Funatsu
2020	J	`jnl`	Exploring Topological Pharmacophore Graphs for Scaffold Hopping. J. Chem. Inf. Model. Hiroshi Nakano, Tomoyuki Miyao, Kimito Funatsu
2019	J	`jnl`	Development of R-Group Fingerprints Based on the Local Landscape from an Attachment Point of a Molecular Structure. J. Chem. Inf. Model. Shunsuke Tamura, Tomoyuki Miyao, Kimito Funatsu
2019	J	`jnl`	Evaluation of different virtual screening strategies on the basis of compound sets with characteristic core distributions and dissimilarity relationships. J. Comput. Aided Mol. Des. Tomoyuki Miyao, Swarit Jasial, Jürgen Bajorath, Kimito Funatsu
2019	J	`jnl`	Exploring Alternative Strategies for the Identification of Potent Compounds Using Support Vector Machine and Regression Modeling. J. Chem. Inf. Model. Tomoyuki Miyao, Kimito Funatsu, Jürgen Bajorath
2019	J	`jnl`	Iterative Screening Methods for Identification of Chemical Compounds with Specific Values of Various Properties. J. Chem. Inf. Model. Tomoyuki Miyao, Kimito Funatsu
2019	J	`jnl`	Three-Dimensional Activity Landscape Models of Different Design and Their Application to Compound Mapping and Potency Prediction. J. Chem. Inf. Model. Tomoyuki Miyao, Kimito Funatsu, Jürgen Bajorath
2018	J	`jnl`	Exploring ensembles of bioactive or virtual analogs of X-ray ligands for shape similarity searching. J. Comput. Aided Mol. Des. Tomoyuki Miyao, Jürgen Bajorath
2017	J	`jnl`	Exploring differential evolution for inverse QSAR analysis. F1000Research Tomoyuki Miyao, Kimito Funatsu, Jürgen Bajorath
2016	J	`jnl`	Inverse QSPR/QSAR Analysis for Chemical Structure Generation (from J. Chem. Inf. Model. Tomoyuki Miyao, Hiromasa Kaneko, Kimito Funatsu
2016	J	`jnl`	Ring system-based chemical graph generation for de novo molecular design. J. Comput. Aided Mol. Des. Tomoyuki Miyao, Hiromasa Kaneko, Kimito Funatsu