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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)

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Kenji Uemura

Tomoki Waragai

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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)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)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)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)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)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)U-radiomics for predicting survival of patients with idiopathic pulmonary fibrosis.T. Uemura, C. Watari, J. Näppi, T. Hironaka, H. Kim, and H. Yoshida. Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)A Key Recovery Algorithm Using Random Key Leakage from AES Key Schedule.T. Uemura, Y. Watanabe, Y. Li, N. Miura, M. Iwamoto, K. Sakiyama, and K. Ohta. ISITA, page 382-386. IEEE, (2020)Comparative performance of 3D-DenseNet, 3D-ResNet, and 3D-VGG models in polyp detection for CT colonography.T. Uemura, J. Näppi, T. Hironaka, H. Kim, and H. Yoshida. Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)

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Disambiguation of "Uemura, Tomoki"

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Weakly unsupervised conditional generative adversarial network for image-based prognostic prediction for COVID-19 patients based on chest CT.

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 Weakly unsupervised conditional generative adversarial network for image-based prognostic prediction for COVID-19 patients based on chest CT.

Please choose a person to relate this publication to

Kenji Uemura

Tomoki Waragai

Other publications of authors with the same name

Disambiguation

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URL
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Weakly unsupervised conditional generative adversarial network for image-based prognostic prediction for COVID-19 patients based on chest CT.