Tomoki Uemura

Publication Activity (10 Years)

Years Active: 2017-2021
Publications (10 Years): 15

Top Topics

Polyp Detection

Convolutional Network

Ct Colonography

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Mob. Networks Appl.

Medical Image Anal.

Future Gener. Comput. Syst.

Publications

Tomoki Uemura, Janne J. Näppi, Chinatsu Watari, Tohru Kamiya, Hiroyuki Yoshida
Unsupervised survival prediction model from CT images of patients with COVID-19. Medical Imaging: Computer-Aided Diagnosis (2021)
Tomoki Uemura, Janne J. Näppi, Chinatsu Watari, Toru Hironaka, Tohru Kamiya, Hiroyuki Yoshida
Weakly unsupervised conditional generative adversarial network for image-based prognostic prediction for COVID-19 patients based on chest CT. Medical Image Anal. 73 (2021)
Tomoki Uemura, Janne J. Näppi, Yasuji Ryu, Chinatsu Watari, Tohru Kamiya, Hiroyuki Yoshida
A generative flow-based model for volumetric data augmentation in 3D deep learning for computed tomographic colonography. Int. J. Comput. Assist. Radiol. Surg. 16 (1) (2021)
Janne J. Näppi, Tomoki Uemura, Perry J. Pickhardt, David H. Kim, Hiroyuki Yoshida
3D deep learning for computer-aided detection of serrated polyps in CT colonography. Medical Imaging: Computer-Aided Diagnosis (2021)
Tomoki Uemura, Yohei Watanabe, Yang Li, Noriyuki Miura, Mitsugu Iwamoto, Kazuo Sakiyama, Kazuo Ohta
A Key Recovery Algorithm Using Random Key Leakage from AES Key Schedule. ISITA (2020)
Huimin Lu, Tomoki Uemura, Dong Wang, Jihua Zhu, Zi Huang, Hyoungseop Kim
Correction to: Deep-Sea Organisms Tracking Using Dehazing and Deep Learning. Mob. Networks Appl. 25 (6) (2020)
Tomoki Uemura, Janne J. Näppi, Toru Hironaka, Hyoungseop Kim, Hiroyuki Yoshida
Comparative performance of 3D-DenseNet, 3D-ResNet, and 3D-VGG models in polyp detection for CT colonography. Medical Imaging: Computer-Aided Diagnosis (2020)
Janne J. Näppi, Tomoki Uemura, Se Hyung Kim, Hyoungseop Kim, Hiroyuki Yoshida
Comparative performance of 3D machine-learning and deep-learning models in the detection of small polyps in dual-energy CT colonography. Medical Imaging: Computer-Aided Diagnosis (2020)
Huimin Lu, Tomoki Uemura, Dong Wang, Jihua Zhu, Zi Huang, Hyoungseop Kim
Deep-Sea Organisms Tracking Using Dehazing and Deep Learning. Mob. Networks Appl. 25 (3) (2020)
Mina Rezaei, Tomoki Uemura, Janne Näppi, Hiroyuki Yoshida, Christoph Lippert, Christoph Meinel
Generative synthetic adversarial network for internal bias correction and handling class imbalance problem in medical image diagnosis. Medical Imaging: Computer-Aided Diagnosis (2020)
Tomoki Uemura, Chinatsu Watari, Janne J. Näppi, Toru Hironaka, Hyoungseop Kim, Hiroyuki Yoshida
U-radiomics for predicting survival of patients with idiopathic pulmonary fibrosis. Medical Imaging: Computer-Aided Diagnosis (2020)
Tomoki Uemura, Janne J. Näppi, Huimin Lu, Hyoungseop Kim, Rie Tachibana, Toru Hironaka, Hiroyuki Yoshida
Ensemble 3D residual network (E3D-ResNet) for reduction of false-positive polyp detections in CT colonography. Medical Imaging: Computer-Aided Diagnosis (2019)
Huimin Lu, Yujie Li, Tomoki Uemura, Zongyuan Ge, Xing Xu, Li He, Seiichi Serikawa, Hyoungseop Kim
FDCNet: filtering deep convolutional network for marine organism classification. Multim. Tools Appl. 77 (17) (2018)
Huimin Lu, Yujie Li, Tomoki Uemura, Hyoungseop Kim, Seiichi Serikawa
Low illumination underwater light field images reconstruction using deep convolutional neural networks. Future Gener. Comput. Syst. 82 (2018)
Huimin Lu, Yin Zhang, Yujie Li, Quan Zhou, Ryunosuke Tadoh, Tomoki Uemura, Hyoungseop Kim, Seiichi Serikawa
Depth Map Reconstruction for Underwater Kinect Camera Using Inpainting and Local Image Mode Filtering. IEEE Access 5 (2017)