Atsushi Tokuhisa

According to our database, Atsushi Tokuhisa authored at least 8 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Investigating Self-Supervised Image Denoising with Denaturation.

Hiroki Waida, Kimihiro Yamazaki, Atsushi Tokuhisa, Mutsuyo Wada, Yuichiro Wada

CoRR, 2024

2023

An Auto-Encoder to Reconstruct Structure with Cryo-EM Images via Theoretically Guaranteed Isometric Latent Space, and Its Application for Automatically Computing the Conformational Pathway.

Kimihiro Yamazaki, Yuichiro Wada, Atsushi Tokuhisa, Mutsuyo Wada, Takashi Katoh, Yuhei Umeda, Yasushi Okuno, Akira Nakagawa

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Accelerating AlphaFold2 Inference of Protein Three-Dimensional Structure on the Supercomputer Fugaku.

Yosuke Oyama, Akihiro Tabuchi, Atsushi Tokuhisa

Proceedings of the 13th Workshop on AI and Scientific Computing at Scale using Flexible Computing, 2023

2022

Single-Image Super-Resolution Improvement of X-ray Single-Particle Diffraction Images Using a Convolutional Neural Network.

Atsushi Tokuhisa, Yoshinobu Akinaga, Kei Terayama, Yuji Okamoto, Yasushi Okuno

J. Chem. Inf. Model., 2022

Protein-ligand binding affinity prediction of cyclin-dependent kinase-2 inhibitors by dynamically averaged fragment molecular orbital-based interaction energy.

Kenichiro Takaba, Chiduru Watanabe, Atsushi Tokuhisa, Yoshinobu Akinaga, Biao Ma, Ryo Kanada, Mitsugu Araki, Yasushi Okuno, Yusuke Kawashima, Hirotomo Moriwaki, Norihito Kawashita, Teruki Honma, Kaori Fukuzawa, Shigenori Tanaka

J. Comput. Chem., 2022

2020

Coarse-Grained Diffraction Template Matching Model to Retrieve Multiconformational Models for Biomolecule Structures from Noisy Diffraction Patterns.

Atsushi Tokuhisa, Ryo Kanada, Shuntaro Chiba, Kei Terayama, Yuta Isaka, Biao Ma, Narutoshi Kamiya, Yasushi Okuno

J. Chem. Inf. Model., 2020

High-Precision Atomic Charge Prediction for Protein Systems Using Fragment Molecular Orbital Calculation and Machine Learning.

Koichiro Kato, Tomohide Masuda, Chiduru Watanabe, Naoki Miyagawa, Hideo Mizouchi, Shumpei Nagase, Kikuko Kamisaka, Kanji Oshima, Satoshi Ono, Hiroshi Ueda, Atsushi Tokuhisa, Ryo Kanada, Masateru Ohta, Mitsunori Ikeguchi, Yasushi Okuno, Kaori Fukuzawa, Teruki Honma

J. Chem. Inf. Model., 2020

2014

Decoupling Architecture for All-to-all Computation.

Atsushi Hori, Kazumi Yoshinaga, Atsushi Tokuhisa, Yasumasa Joti, Kensuke Okada, Takashi Sugimoto, Mitsuhiro Yamaga, Takaki Hatsui, Makina Yabashi, Yuji Sugita, Yutaka Ishikawa, Nobuhiro Go

Proceedings of the 21st European MPI Users' Group Meeting, 2014