Hisaichi Shibata

According to our database, Hisaichi Shibata authored at least 12 papers between 2018 and 2023.

Collaborative distances:

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

2023

Theory of Hallucinations based on Equivariance.

Hisaichi Shibata

CoRR, 2023

Playing the Werewolf game with artificial intelligence for language understanding.

Hisaichi Shibata, Soichiro Miki, Yuta Nakamura

CoRR, 2023

AIWolfDial 2023: Summary of Natural Language Division of 5th International AIWolf Contest.

Yoshinobu Kano, Neo Watanabe, Kaito Kagaminuma, Claus Aranha, Jaewon Lee, Benedek Hauer, Hisaichi Shibata, Soichiro Miki, Yuta Nakamura, Takuya Okubo, Soga Shigemura, Rei Ito, Kazuki Takashima, Tomoki Fukuda, Masahiro Wakutani, Tomoya Hatanaka, Mami Uchida, Mikio Abe, Akihiro Mikami, Takashi Otsuki, Zhiyang Qi, Kei Harada, Michimasa Inaba, Daisuke Katagami, Hirotaka Osawa, Fujio Toriumi

Proceedings of the 16th International Natural Language Generation Conference, 2023

2022

Local Differential Privacy Image Generation Using Flow-based Deep Generative Models.

Hisaichi Shibata, Shouhei Hanaoka, Yang Cao, Masatoshi Yoshikawa, Tomomi Takenaga, Yukihiro Nomura, Naoto Hayashi, Osamu Abe

CoRR, 2022

Aging prediction using deep generative model toward the development of preventive medicine.

Hisaichi Shibata, Shouhei Hanaoka, Yukihiro Nomura, Naoto Hayashi, Osamu Abe

CoRR, 2022

2021

X2CT-FLOW: Reconstruction of multiple volumetric chest computed tomography images with different likelihoods from a uni- or biplanar chest X-ray image using a flow-based generative model.

Hisaichi Shibata, Shouhei Hanaoka, Yukihiro Nomura, Takahiro Nakao, Tomomi Takenaga, Naoto Hayashi, Osamu Abe

CoRR, 2021

Multichannel three-dimensional fully convolutional residual network-based focal liver lesion detection and classification in Gd-EOB-DTPA-enhanced MRI.

Tomomi Takenaga, Shouhei Hanaoka, Yukihiro Nomura, Takahiro Nakao, Hisaichi Shibata, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe

Int. J. Comput. Assist. Radiol. Surg., 2021

Versatile anomaly detection method for medical images with semi-supervised flow-based generative models.

Hisaichi Shibata, Shouhei Hanaoka, Yukihiro Nomura, Takahiro Nakao, Issei Sato, Daisuke Sato, Naoto Hayashi, Osamu Abe

Int. J. Comput. Assist. Radiol. Surg., 2021

Preliminary study of generalized semiautomatic segmentation for 3D voxel labeling of lesions based on deep learning.

Yukihiro Nomura, Shouhei Hanaoka, Tomomi Takenaga, Takahiro Nakao, Hisaichi Shibata, Soichiro Miki, Takeharu Yoshikawa, Takeyuki Watadani, Naoto Hayashi, Osamu Abe

Int. J. Comput. Assist. Radiol. Surg., 2021

2020

On the Matrix-Free Generation of Adversarial Perturbations for Black-Box Attacks.

Hisaichi Shibata, Shouhei Hanaoka, Yukihiro Nomura, Naoto Hayashi, Osamu Abe

CoRR, 2020

Anomaly detection in chest radiographs with a weakly supervised flow-based deep learning method.

Hisaichi Shibata, Shouhei Hanaoka, Yukihiro Nomura, Takahiro Nakao, Issei Sato, Naoto Hayashi, Osamu Abe

CoRR, 2020

2018

Stable, non-dissipative, and conservative flux-reconstruction schemes in split forms.

Yoshiaki Abe, Issei Morinaka, Takanori Haga, Taku Nonomura, Hisaichi Shibata, Koji Miyaji

J. Comput. Phys., 2018