Depth Map Reconstruction for Underwater Kinect Camera Using Inpainting and Local Image Mode Filtering. - Huimin Lu 001; Yin Zhang 002; Yujie Li 001; Quan Zhou 004; Ryunosuke Tadoh; Tomoki Uemura; Hyoungseop Kim; Seiichi Serikawa (IEEE Access, 2017)

Low illumination underwater light field images reconstruction using deep convolutional neural networks. - Huimin Lu 001; Yujie Li 001; Tomoki Uemura; Hyoungseop Kim; Seiichi Serikawa (Future Gener. Comput. Syst., 2018)

FDCNet: filtering deep convolutional network for marine organism classification. - Huimin Lu 001; Yujie Li 001; Tomoki Uemura; Zongyuan Ge; Xing Xu 001; Li He 001; Seiichi Serikawa; Hyoungseop Kim (Multim. Tools Appl., 2018)

Ensemble 3D residual network (E3D-ResNet) for reduction of false-positive polyp detections in CT colonography. - Tomoki Uemura; Janne J. Näppi; Huimin Lu 001; Hyoungseop Kim; Rie Tachibana; Toru Hironaka; Hiroyuki Yoshida (Computer-Aided Diagnosis, 2019)

A Key Recovery Algorithm Using Random Key Leakage from AES Key Schedule. - Tomoki Uemura; Yohei Watanabe 001; Yang Li 001; Noriyuki Miura; Mitsugu Iwamoto; Kazuo Sakiyama; Kazuo Ohta (ISITA, 2020)

Comparative performance of 3D machine-learning and deep-learning models in the detection of small polyps in dual-energy CT colonography. - Janne J. Näppi; Tomoki Uemura; Se Hyung Kim; Hyoungseop Kim; Hiroyuki Yoshida (Computer-Aided Diagnosis, 2020)

Generative synthetic adversarial network for internal bias correction and handling class imbalance problem in medical image diagnosis. - Mina Rezaei; Tomoki Uemura; Janne Näppi; Hiroyuki Yoshida; Christoph Lippert; Christoph Meinel (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 (Computer-Aided Diagnosis, 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 (Computer-Aided Diagnosis, 2020)

Deep-Sea Organisms Tracking Using Dehazing and Deep Learning. - Huimin Lu 001; Tomoki Uemura; Dong Wang 004; Jihua Zhu; Zi Huang; Hyoungseop Kim (Mob. Networks Appl., 2020)

Correction to: Deep-Sea Organisms Tracking Using Dehazing and Deep Learning. - Huimin Lu 001; Tomoki Uemura; Dong Wang 004; Jihua Zhu; Zi Huang; Hyoungseop Kim (Mob. Networks Appl., 2020)

3D deep learning for computer-aided detection of serrated polyps in CT colonography. - Janne J. Näppi; Tomoki Uemura; Perry J. Pickhardt; David H. Kim; Hiroyuki Yoshida (Computer-Aided Diagnosis, 2021)

Unsupervised survival prediction model from CT images of patients with COVID-19. - Tomoki Uemura; Janne J. Näppi; Chinatsu Watari; Tohru Kamiya; Hiroyuki Yoshida (Computer-Aided Diagnosis, 2021)

A generative flow-based model for volumetric data augmentation in 3D deep learning for computed tomographic colonography. - Tomoki Uemura; Janne J. Näppi; Yasuji Ryu; Chinatsu Watari; Tohru Kamiya; Hiroyuki Yoshida (Int. J. Comput. Assist. Radiol. Surg., 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)