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

USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets.

L. Rundo, C. Han, Y. Nagano, J. Zhang, R. Hataya, C. Militello, A. Tangherloni, M. Nobile, C. Ferretti, D. Besozzi, M. Gilardi, S. Vitabile, G. Mauri, H. Nakayama, and P. Cazzaniga. CoRR, (2019)

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.

Hideki Teshima

Hideki Mine

Hideki Nakamura

Hideki Ogihara

Kanzo Nakayama

Other publications of authors with the same name

Image Annotation and Retrieval for Weakly Labeled Images Using Conceptual Learning.T. Harada, H. Nakayama, Y. Kuniyoshi, and N. Otsu. New Gener. Comput., 28 (3): 277-298 (2010)Erasing Scene Text with Weak Supervision.J. Zdenek, and H. Nakayama. WACV, page 2227-2235. IEEE, (2020)High-Performance Image Annotation and Retrieval for Weakly Labeled Images Using Latent Space Learning.H. Nakayama, T. Harada, Y. Kuniyoshi, and N. Otsu. PCM, volume 5353 of Lecture Notes in Computer Science, page 601-610. Springer, (2008)Unsupervised Visual Relationship Inference.T. Kashima, K. Masui, and H. Nakayama. ICIP, page 1476-1480. IEEE, (2020)Towards Parameter-Efficient Integration of Pre-Trained Language Models In Temporal Video Grounding.E. Shimomoto, E. Marrese-Taylor, H. Takamura, I. Kobayashi, H. Nakayama, and Y. Miyao. CoRR, (2022)Learning More with Less: GAN-based Medical Image Augmentation.C. Han, K. Murao, S. Satoh, and H. Nakayama. CoRR, (2019)An Empirical Study of Adequate Vision Span for Attention-Based Neural Machine Translation.R. Shu, and H. Nakayama. NMT@ACL, page 1-10. Association for Computational Linguistics, (2017)Semantic Image Synthesis from Inaccurate and Coarse Masks.K. Katsumata, and H. Nakayama. ICASSP, page 2285-2289. IEEE, (2021)Stochastic Observation Prediction for Efficient Reinforcement Learning in Robotics.S. Wang, and H. Nakayama. MIPR, page 131-137. IEEE, (2021)Generating Video Description using Sequence-to-sequence Model with Temporal Attention.N. Laokulrat, S. Phan, N. Nishida, R. Shu, Y. Ehara, N. Okazaki, Y. Miyao, and H. Nakayama. COLING, page 44-52. ACL, (2016)

BibSonomy

Disambiguation of "Nakayama, Hideki"

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

USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets.

Please choose a person to relate this publication to

Hideki Teshima

Hideki Mine

Hideki Nakamura

Hideki Ogihara

Kanzo Nakayama

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Nakayama, Hideki"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets.

Please choose a person to relate this publication to

Hideki Teshima

Hideki Mine

Hideki Nakamura

Hideki Ogihara

Kanzo Nakayama

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

USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets.