Tomoki Uemura

15 papers C 1Journal 7Unranked 7
YearRankTypeTitle / Venue / Authors
2021 — conf
3D deep learning for computer-aided detection of serrated polyps in CT colonography.
Computer-Aided Diagnosis
Janne J. Näppi, Tomoki Uemura, Perry J. Pickhardt, David H. Kim, Hiroyuki Yoshida
2021 J jnl
A generative flow-based model for volumetric data augmentation in 3D deep learning for computed tomographic colonography.
Int. J. Comput. Assist. Radiol. Surg.
Tomoki Uemura, Janne J. Näppi, Yasuji Ryu, Chinatsu Watari, Tohru Kamiya, Hiroyuki Yoshida
2021 — conf
Unsupervised survival prediction model from CT images of patients with COVID-19.
Computer-Aided Diagnosis
Tomoki Uemura, Janne J. Näppi, Chinatsu Watari, Tohru Kamiya, Hiroyuki Yoshida
2021 J jnl
Weakly unsupervised conditional generative adversarial network for image-based prognostic prediction for COVID-19 patients based on chest CT.
Medical Image Anal.
Tomoki Uemura, Janne J. Näppi, Chinatsu Watari, Toru Hironaka, Tohru Kamiya, Hiroyuki Yoshida
2020 C conf
A Key Recovery Algorithm Using Random Key Leakage from AES Key Schedule.
ISITA
Tomoki Uemura, Yohei Watanabe, Yang Li, Noriyuki Miura, Mitsugu Iwamoto, Kazuo Sakiyama, Kazuo Ohta
2020 — conf
Comparative performance of 3D machine-learning and deep-learning models in the detection of small polyps in dual-energy CT colonography.
Computer-Aided Diagnosis
Janne J. Näppi, Tomoki Uemura, Se Hyung Kim, Hyoungseop Kim, Hiroyuki Yoshida
2020 — conf
Comparative performance of 3D-DenseNet, 3D-ResNet, and 3D-VGG models in polyp detection for CT colonography.
Computer-Aided Diagnosis
Tomoki Uemura, Janne J. Näppi, Toru Hironaka, Hyoungseop Kim, Hiroyuki Yoshida
2020 J jnl
Correction to: Deep-Sea Organisms Tracking Using Dehazing and Deep Learning.
Mob. Networks Appl.
Huimin Lu, Tomoki Uemura, Dong Wang, Jihua Zhu, Zi Huang, Hyoungseop Kim
2020 J jnl
Deep-Sea Organisms Tracking Using Dehazing and Deep Learning.
Mob. Networks Appl.
Huimin Lu, Tomoki Uemura, Dong Wang, Jihua Zhu, Zi Huang, Hyoungseop Kim
2020 — conf
Generative synthetic adversarial network for internal bias correction and handling class imbalance problem in medical image diagnosis.
Computer-Aided Diagnosis
Mina Rezaei, Tomoki Uemura, Janne Näppi, Hiroyuki Yoshida, Christoph Lippert, Christoph Meinel
2020 — conf
U-radiomics for predicting survival of patients with idiopathic pulmonary fibrosis.
Computer-Aided Diagnosis
Tomoki Uemura, Chinatsu Watari, Janne J. Näppi, Toru Hironaka, Hyoungseop Kim, Hiroyuki Yoshida
2019 — conf
Ensemble 3D residual network (E3D-ResNet) for reduction of false-positive polyp detections in CT colonography.
Computer-Aided Diagnosis
Tomoki Uemura, Janne J. Näppi, Huimin Lu, Hyoungseop Kim, Rie Tachibana, Toru Hironaka, Hiroyuki Yoshida
2018 J jnl
FDCNet: filtering deep convolutional network for marine organism classification.
Multim. Tools Appl.
Huimin Lu, Yujie Li, Tomoki Uemura, Zongyuan Ge, Xing Xu, Li He, Seiichi Serikawa, Hyoungseop Kim
2018 J jnl
Low illumination underwater light field images reconstruction using deep convolutional neural networks.
Future Gener. Comput. Syst.
Huimin Lu, Yujie Li, Tomoki Uemura, Hyoungseop Kim, Seiichi Serikawa
2017 J jnl
Depth Map Reconstruction for Underwater Kinect Camera Using Inpainting and Local Image Mode Filtering.
IEEE Access
Huimin Lu, Yin Zhang, Yujie Li, Quan Zhou, Ryunosuke Tadoh, Tomoki Uemura, Hyoungseop Kim, Seiichi Serikawa