Volume rendering using grid computing for large-scale volume data. - Kunihiko Nishihashi; Toru Higaki; Kenji Okabe; Bisser Raytchev; Toru Tamaki; Kazufumi Kaneda (CAD/Graphics, 2009)

Neural Network Convolution (NNC) for Converting Ultra-Low-Dose to "Virtual" High-Dose CT Images. - Kenji Suzuki 001; Junchi Liu; Amin Zarshenas; Toru Higaki; Wataru Fukumoto; Kazuo Awai (MLMI@MICCAI, 2017)

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 (Eurographics (Posters), 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 (Computer-Aided Diagnosis, 2019)

Efficient and Accurate Physically Based Rendering of Periodic Multilayer Structures with Iridescence. - Yoshiki Kaminaka; Toru Higaki; Bisser Raytchev; Kazufumi Kaneda (SIGGRAPH ASIA Posters, 2023)

Spectral Super-Resolution for High Dynamic Range Images. - Yuki Mikamoto; Yoshiki Kaminaka; Toru Higaki; Bisser Raytchev; Kazufumi Kaneda (J. Imaging, 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., 2023)

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 (CEC, 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)