Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Generative synthetic adversarial network for internal bias correction and handling class imbalance problem in medical image diagnosis.

M. Rezaei, T. Uemura, J. Näppi, H. Yoshida, C. Lippert, and C. Meinel. Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Kenji Uemura

Tomoki Waragai

Other publications of authors with the same name

Depth Map Reconstruction for Underwater Kinect Camera Using Inpainting and Local Image Mode Filtering.H. Lu, Y. Zhang, Y. Li, Q. Zhou, R. Tadoh, T. Uemura, H. Kim, and S. Serikawa. IEEE Access, (2017)FDCNet: filtering deep convolutional network for marine organism classification.H. Lu, Y. Li, T. Uemura, Z. Ge, X. Xu, L. He, S. Serikawa, and H. Kim. Multim. Tools Appl., 77 (17): 21847-21860 (2018)Comparative performance of 3D machine-learning and deep-learning models in the detection of small polyps in dual-energy CT colonography.J. Näppi, T. Uemura, S. Kim, H. Kim, and H. Yoshida. Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)Generative synthetic adversarial network for internal bias correction and handling class imbalance problem in medical image diagnosis.M. Rezaei, T. Uemura, J. Näppi, H. Yoshida, C. Lippert, and C. Meinel. Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)Ensemble 3D residual network (E3D-ResNet) for reduction of false-positive polyp detections in CT colonography.T. Uemura, J. Näppi, H. Lu, H. Kim, R. Tachibana, T. Hironaka, and H. Yoshida. Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 1095013. SPIE, (2019)Correction to: Deep-Sea Organisms Tracking Using Dehazing and Deep Learning.H. Lu, T. Uemura, D. Wang, J. Zhu, Z. Huang, and H. Kim. Mob. Networks Appl., 25 (6): 2536 (2020)Unsupervised survival prediction model from CT images of patients with COVID-19.T. Uemura, J. Näppi, C. Watari, T. Kamiya, and H. Yoshida. Medical Imaging: Computer-Aided Diagnosis, volume 11597 of SPIE Proceedings, SPIE, (2021)3D deep learning for computer-aided detection of serrated polyps in CT colonography.J. Näppi, T. Uemura, P. Pickhardt, D. Kim, and H. Yoshida. Medical Imaging: Computer-Aided Diagnosis, volume 11597 of SPIE Proceedings, SPIE, (2021)Weakly unsupervised conditional generative adversarial network for image-based prognostic prediction for COVID-19 patients based on chest CT.T. Uemura, J. Näppi, C. Watari, T. Hironaka, T. Kamiya, and H. Yoshida. Medical Image Anal., (2021)Low illumination underwater light field images reconstruction using deep convolutional neural networks.H. Lu, Y. Li, T. Uemura, H. Kim, and S. Serikawa. Future Gener. Comput. Syst., (2018)

BibSonomy

Disambiguation of "Uemura, Tomoki"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Generative synthetic adversarial network for internal bias correction and handling class imbalance problem in medical image diagnosis.

Please choose a person to relate this publication to

Kenji Uemura

Tomoki Waragai

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Uemura, Tomoki"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Generative synthetic adversarial network for internal bias correction and handling class imbalance problem in medical image diagnosis.

Please choose a person to relate this publication to

Kenji Uemura

Tomoki Waragai

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Generative synthetic adversarial network for internal bias correction and handling class imbalance problem in medical image diagnosis.