Toru Hironaka

Deep transfer learning of virtual endoluminal views for the detection of polyps in CT colonography

Janne J. Näppi, Toru Hironaka, Daniele Regge et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2016 · 35 citations

Computing, Computer Science, Radiology +17

Comparative performance of 3D-DenseNet, 3D-ResNet, and 3D-VGG models in polyp detection for CT colonography

Tomoki Uemura, Janne J. Näppi, Toru Hironaka et al. · Medical Imaging 2020: Computer-Aided Diagnosis · 2020 · 31 citations

Computing, Computer Science, Radiology +17

Weakly unsupervised conditional generative adversarial network for image-based prognostic prediction for COVID-19 patients based on chest CT

Tomoki Uemura, Janne J. Näppi, Chinatsu Watari et al. · Medical Image Analysis · 2021 · 19 citations · Full text

Computing, Computer Science, Infectious Diseases +17

Detection of aspiration from images of a videofluoroscopic swallowing study adopting deep learning

Yukihiro Iida, Janne J. Näppi, Tomoya Kitano et al. · Oral Radiology · 2023 · 19 citations

Health Professions, Computer Science, Speech-language Pathology +12

A novel hierarchical multi-port cache

Z. Zhu, K. Johguchi, Hans Jürgen Mattausch et al. · 2004 · 11 citations

Engineering, Computer Engineering, Computer Science +17