Toru Hironaka

发表

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

Hiroyuki Yoshida, David H. Kim, Janne J. Näppi, 2017, Medical Imaging.

Electronic cleansing by unpaired contrastive learning in non-cathartic laxative-free CT colonography

H. Yoshida, J. Näppi, Rie Tachibana, 2022, Medical Imaging.

Unsupervised 3D prediction model for pulmonary disease progression in chest CT

H. Yoshida, J. Näppi, Toru Hironaka, 2022, Medical Imaging.

Deep Learning Electronic Cleansing for Single- and Dual-Energy CT Colonography.

Hiroyuki Yoshida, Rie Tachibana, Toru Hironaka, 2018, Radiographics : a review publication of the Radiological Society of North America, Inc.

Self-Supervised Adversarial Learning with a Limited Dataset for Electronic Cleansing in Computed Tomographic Colonography: A Preliminary Feasibility Study

H. Yoshida, J. Näppi, Rie Tachibana, 2022, Cancers.

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

Tohru Kamiya, H. Yoshida, J. Näppi, 2021, Medical Image Analysis.

U-survival for prognostic prediction of disease progression and mortality of patients with COVID-19

Tohru Kamiya, H. Yoshida, J. Näppi, 2021, Scientific Reports.

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

Hiroyuki Yoshida, Janne J. Näppi, Toru Hironaka, 2017, Medical Imaging.

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

Hyoungseop Kim, Janne J. Näppi, Tomoki Uemura, 2020, Medical Imaging.

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

Hiroyuki Yoshida, Shoji Kido, Janne J. Näppi, 2018, Medical Imaging.

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

A. Katsumata, H. Yoshida, J. Näppi, 2023, Oral Radiology.

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

Janne J. Näppi, Tomoki Uemura, Chinatsu Watari, 2020, Medical Imaging.

Radiomic texture-curvature (RTC) features for precision medicine of patients with rheumatoid arthritis-associated interstitial lung disease

Hiroyuki Yoshida, Noboru Niki, Yoshiki Kawata, 2018, Medical Imaging.

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

Hiroyuki Yoshida, Janne J. Näppi, Toru Hironaka, 2016, SPIE Medical Imaging.

Deep radiomic precision CT imaging for prognostic biomarkers for interstitial lung diseases

Hiroyuki Yoshida, Noboru Niki, Yoshiki Kawata, 2019, Medical Imaging.

Deep learning for electronic cleansing in dual-energy CT colonography

Hiroyuki Yoshida, Rie Tachibana, Janne J. Näppi, 2016, SPIE Medical Imaging.

Automated detection of colorectal polyps in photon-counting CT colonography

K. Taguchi, H. Yoshida, J. Näppi, 2023, Medical Imaging.

Electronic cleansing in CT colonography using a generative adversarial network

Rie Tachibana, Toru Hironaka, Hiroyuki Yoshida, 2019, Medical Imaging.

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

Hiroyuki Yoshida, Rie Tachibana, Janne J. Näppi, 2017, Medical Imaging.

Electronic cleansing in photon-counting CT colonography by use of self-supervised 3D-GAN

H. Yoshida, J. Näppi, Rie Tachibana, 2023, Medical Imaging.

Comparative performance of self-supervised 3D-ResNet-GAN for electronic cleansing in single- and dual-energy CT colonography

Hiroyuki Yoshida, Rie Tachibana, Toru Hironaka, 2021, Medical Imaging.

Self-supervised generative adversarial network for electronic cleansing in dual-energy CT colonography

Rie Tachibana, Janne J. Näppi, Toru Hironaka, 2020, Medical Imaging.

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

Rie Tachibana, Toru Hironaka, Junko Ota, 2016, SPIE Medical Imaging.

Automated segmentation of polyps by 3D deep learning in photon-counting CT colonography

J. Näppi, Rie Tachibana, Rajiv Gupta, 2024, Medical Imaging.