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ORCIDHisaichi Shibata
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2020 – today
- 2023
[c1]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:
AIWolfDial 2023: Summary of Natural Language Division of 5th International AIWolf Contest. INLG (Generation Challenges) 2023: 84-100- [i7]Hisaichi Shibata, Soichiro Miki, Yuta Nakamura
:
Playing the Werewolf game with artificial intelligence for language understanding. CoRR abs/2302.10646 (2023) - [i6]Hisaichi Shibata:
Theory of Hallucinations based on Equivariance. CoRR abs/2312.14504 (2023) - 2022
- [i5]Hisaichi Shibata, Shouhei Hanaoka, Yukihiro Nomura, Naoto Hayashi, Osamu Abe:
Aging prediction using deep generative model toward the development of preventive medicine. CoRR abs/2208.10797 (2022) - [i4]Hisaichi Shibata, Shouhei Hanaoka, Yang Cao, Masatoshi Yoshikawa, Tomomi Takenaga, Yukihiro Nomura, Naoto Hayashi, Osamu Abe:
Local Differential Privacy Image Generation Using Flow-based Deep Generative Models. CoRR abs/2212.10688 (2022) - 2021
- [j4]Tomomi Takenaga, Shouhei Hanaoka, Yukihiro Nomura, Takahiro Nakao, Hisaichi Shibata, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe:
Multichannel three-dimensional fully convolutional residual network-based focal liver lesion detection and classification in Gd-EOB-DTPA-enhanced MRI. Int. J. Comput. Assist. Radiol. Surg. 16(9): 1527-1536 (2021) - [j3]Yukihiro Nomura, Shouhei Hanaoka, Tomomi Takenaga, Takahiro Nakao, Hisaichi Shibata, Soichiro Miki, Takeharu Yoshikawa, Takeyuki Watadani, Naoto Hayashi, Osamu Abe:
Preliminary study of generalized semiautomatic segmentation for 3D voxel labeling of lesions based on deep learning. Int. J. Comput. Assist. Radiol. Surg. 16(11): 1901-1913 (2021) - [j2]Hisaichi Shibata, Shouhei Hanaoka, Yukihiro Nomura, Takahiro Nakao, Issei Sato, Daisuke Sato, Naoto Hayashi, Osamu Abe:
Versatile anomaly detection method for medical images with semi-supervised flow-based generative models. Int. J. Comput. Assist. Radiol. Surg. 16(12): 2261-2267 (2021) - [i3]Hisaichi Shibata, Shouhei Hanaoka, Yukihiro Nomura, Takahiro Nakao, Tomomi Takenaga, Naoto Hayashi, Osamu Abe:
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. CoRR abs/2104.04179 (2021) - 2020
- [i2]Hisaichi Shibata, Shouhei Hanaoka, Yukihiro Nomura, Takahiro Nakao, Issei Sato, Naoto Hayashi, Osamu Abe:
Anomaly detection in chest radiographs with a weakly supervised flow-based deep learning method. CoRR abs/2001.07847 (2020) - [i1]Hisaichi Shibata, Shouhei Hanaoka, Yukihiro Nomura, Naoto Hayashi, Osamu Abe:
On the Matrix-Free Generation of Adversarial Perturbations for Black-Box Attacks. CoRR abs/2002.07317 (2020)
2010 – 2019
- 2018
- [j1]Yoshiaki Abe, Issei Morinaka, Takanori Haga, Taku Nonomura, Hisaichi Shibata, Koji Miyaji:
Stable, non-dissipative, and conservative flux-reconstruction schemes in split forms. J. Comput. Phys. 353: 193-227 (2018)
Coauthor Index
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