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2020 – today
- 2021
[j7]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): 81-89 (2021)- [j6]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: 102159 (2021) - [c8]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. Computer-Aided Diagnosis 2021 - [c7]Tomoki Uemura, Janne J. Näppi, Chinatsu Watari, Tohru Kamiya, Hiroyuki Yoshida:
Unsupervised survival prediction model from CT images of patients with COVID-19. Computer-Aided Diagnosis 2021 - 2020
- [j5]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): 1008-1015 (2020) - [j4]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): 2536 (2020) - [c6]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: 382-386 - [c5]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. Computer-Aided Diagnosis 2020 - [c4]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. Computer-Aided Diagnosis 2020 - [c3]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. Computer-Aided Diagnosis 2020 - [c2]Tomoki Uemura, Chinatsu Watari, Janne J. Näppi, Toru Hironaka, Hyoungseop Kim, Hiroyuki Yoshida:
U-radiomics for predicting survival of patients with idiopathic pulmonary fibrosis. Computer-Aided Diagnosis 2020
2010 – 2019
- 2019
- [c1]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. Computer-Aided Diagnosis 2019: 1095013 - 2018
- [j3]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: 142-148 (2018) - [j2]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): 21847-21860 (2018) - 2017
- [j1]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: 7115-7122 (2017)
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