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

Usefulness of fine-tuning for deep learning based multi-organ regions segmentation method from non-contrast CT volumes using small training dataset.

Y. Hayashi, C. Shen, H. Roth, M. Oda, K. Misawa, M. Jinzaki, M. Hashimoto, K. Kumamaru, S. Aoki, and K. Mori. 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.

Aman K K Bhasin

K Böhm

K Beheng

K Schweizerhof

K Schaber

Other publications of authors with the same name

Classification of CT pulmonary angiography reports by presence, chronicity, and location of pulmonary embolism with natural language processing.S. Yu, K. Kumamaru, E. George, R. Dunne, A. Bedayat, M. Neykov, A. Hunsaker, K. Dill, T. Cai, and F. Rybicki. J. Biomed. Informatics, (2014)Automatic ventricle detection in Computed Tomography Pulmonary Angiography.S. Rodriguez-Lopez, D. Jimenez-Carretero, R. Estépar, E. Moreno, K. Kumamaru, F. Rybicki, M. Ledesma-Carbayo, and G. González. ISBI, page 1143-1146. IEEE, (2015)Enhancing Model Generalization for Substantia Nigra Segmentation Using a Test-time Normalization-Based Method.T. Hu, H. Itoh, M. Oda, Y. Hayashi, Z. Lu, S. Saiki, N. Hattori, K. Kamagata, S. Aoki, K. Kumamaru and 2 other author(s). MICCAI (8), volume 13437 of Lecture Notes in Computer Science, page 736-744. Springer, (2022)Investigation of the accuracy of classifying coronary artery disease severity using machine learning with subdomain analysis of fractional flow reserve diagnosis in patients.A. Podgorsak, K. Sommer, V. Iyer, M. Wilson, F. Rybicki, D. Mitsouras, U. Sharma, K. Kumamaru, E. Angel, and C. Ionita. Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)Usefulness of fine-tuning for deep learning based multi-organ regions segmentation method from non-contrast CT volumes using small training dataset.Y. Hayashi, C. Shen, H. Roth, M. Oda, K. Misawa, M. Jinzaki, M. Hashimoto, K. Kumamaru, S. Aoki, and K. Mori. Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)

BibSonomy

Disambiguation of "Kumamaru, Kanako K."

Please choose a person to relate this publication to

Aman K K Bhasin

K Böhm

K Beheng

K Schweizerhof

K Schaber

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Kumamaru, Kanako K."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Usefulness of fine-tuning for deep learning based multi-organ regions segmentation method from non-contrast CT volumes using small training dataset.

Please choose a person to relate this publication to

Aman K K Bhasin

K Böhm

K Beheng

K Schweizerhof

K Schaber

Other publications of authors with the same name

Disambiguation