Toru Higaki

According to our database, Toru Higaki authored at least 9 papers between 2009 and 2024.

Collaborative distances:

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

2024

Manipulating Vehicle 3D Shapes through Latent Space Editing.

JiangDong Miao, Tatsuya Ikeda, Bisser Raytchev, Ryota Mizoguchi, Takenori Hiraoka, Takuji Nakashima, Keigo Shimizu, Toru Higaki, Kazufumi Kaneda

CoRR, 2024

Lightweight Detection Architecture Adapted to Small Lesions Using Multiscale Sampling Method.

Ayu Karasudani, Masaki Ishihara, Tatsuya Yamaguchi, Ayaka Oka, Yu Hasome, Nobuhiro Miyazaki, Hiroaki Takebe, Takayuki Baba, Shogo Maeda, Yuko Nakamura, Toru Higaki, Kazuo Awai

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023

Fast detection of bag-breakups in pulsating and steady airflow using video analysis and deep learning.

Daiki Morita, Bisser Raytchev, Abdussalam Elhanashi, Mikimasa Kawaguchi, Yoichi Ogata, Toru Higaki, Kazufumi Kaneda, Akira Nakashima, Sergio Saponara

J. Real Time Image Process., December, 2023

Spectral Super-Resolution for High Dynamic Range Images.

Yuki Mikamoto, Yoshiki Kaminaka, Toru Higaki, Bisser Raytchev, Kazufumi Kaneda

J. Imaging, 2023

Efficient and Accurate Physically Based Rendering of Periodic Multilayer Structures with Iridescence.

Yoshiki Kaminaka, Toru Higaki, Bisser Raytchev, Kazufumi Kaneda

Proceedings of the SIGGRAPH Asia 2023 Posters, 2023

2019

Similar CT image retrieval method based on lesion nature and their three-dimensional distribution.

Yasutaka Moriwaki, Nobuhiro Miyazaki, Hiroaki Takebe, Takayuki Baba, Hiroaki Terada, Toru Higaki, Kazuo Awai, Machiko Nakagawa, Akio Ozawa, Kennji Kitayama, Yasuharu Ogino

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

A Projection Mapping System onto a Human Body for Medical Applications.

Ryo Fukuhara, Kazufumi Kaneda, Toru Tamaki, Bisser Raytchev, Toru Higaki, Soh Nishimoto, Yohei Sotsuka

Proceedings of the 40th Annual Conference of the European Association for Computer Graphics, 2019

2017

Neural Network Convolution (NNC) for Converting Ultra-Low-Dose to "Virtual" High-Dose CT Images.

Kenji Suzuki, Junchi Liu, Amin Zarshenas, Toru Higaki, Wataru Fukumoto, Kazuo Awai

Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

2009

Volume rendering using grid computing for large-scale volume data.

Kunihiko Nishihashi, Toru Higaki, Kenji Okabe, Bisser Raytchev, Toru Tamaki, Kazufumi Kaneda

Proceedings of the 11th International Conference on Computer-Aided Design and Computer Graphics, 2009