Toru Hironaka

According to our database, Toru Hironaka authored at least 13 papers between 2016 and 2021.

Collaborative distances:

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

2021

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, Toru Hironaka, Tohru Kamiya, Hiroyuki Yoshida

Medical Image Anal., 2021

2020

U-radiomics for predicting survival of patients with idiopathic pulmonary fibrosis.

Tomoki Uemura, Chinatsu Watari, Janne J. Näppi, Toru Hironaka, Hyoungseop Kim, Hiroyuki Yoshida

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

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

Tomoki Uemura, Janne J. Näppi, Toru Hironaka, Hyoungseop Kim, Hiroyuki Yoshida

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019

Ensemble 3D residual network (E3D-ResNet) for reduction of false-positive polyp detections in CT colonography.

Tomoki Uemura, Janne J. Näppi, Huimin Lu, Hyoungseop Kim, Rie Tachibana, Toru Hironaka, Hiroyuki Yoshida

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

2018

Deep radiomic prediction with clinical predictors of the survival in patients with rheumatoid arthritis-associated interstitial lung diseases.

Radin A. Nasirudin, Janne J. Näppi, Chinatsu Watari, Mikio Matsuhiro, Toru Hironaka, Shoji Kido, Hiroyuki Yoshida

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Detection of colorectal masses in CT colonography: application of deep residual networks for differentiating masses from normal colon anatomy.

Janne J. Näppi, Toru Hironaka, Hiroyuki Yoshida

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2017

Deep ensemble learning of virtual endoluminal views for polyp detection in CT colonography.

Kensuke Umehara, Janne J. Näppi, Toru Hironaka, Daniele Regge, Takayuki Ishida, Hiroyuki Yoshida

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Deep multi-spectral ensemble learning for electronic cleansing in dual-energy CT colonography.

Rie Tachibana, Janne J. Näppi, Toru Hironaka, Se Hyung Kim, Hiroyuki Yoshida

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Electronic cleansing for CT colonography using spectral-driven iterative reconstruction.

Radin A. Nasirudin, Janne J. Näppi, Toru Hironaka, Rie Tachibana, Hiroyuki Yoshida

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Deep learning of contrast-coated serrated polyps for computer-aided detection in CT colonography.

Janne J. Näppi, Perry J. Pickhardt, David H. Kim, Toru Hironaka, Hiroyuki Yoshida

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

2016

Deep learning for electronic cleansing in dual-energy CT colonography.

Rie Tachibana, Janne J. Näppi, Toru Hironaka, Se Hyung Kim, Hiroyuki Yoshida

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Performance evaluation of multi-material electronic cleansing for ultra-low-dose dual-energy CT colonography.

Rie Tachibana, Naja Kohlhase, Janne J. Näppi, Toru Hironaka, Junko Ota, Takayuki Ishida, Daniele Regge, Hiroyuki Yoshida

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

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

Janne J. Näppi, Toru Hironaka, Daniele Regge, Hiroyuki Yoshida

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016