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Training ROI Selection Based on MILBoost for Liver Cirrhosis Classification Using Ultrasound Images.

Y. Fujita, Y. Mitani, Y. Hamamoto, M. Segawa, S. Terai, and I. Sakaida. IEA/AIE, volume 9799 of Lecture Notes in Computer Science, page 451-459. Springer, (2016)

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Toko Fujita

Buntaro Fujita

Yusuke Sugihara

Masayuki Fujita

Masakatsu Fujita

Other publications of authors with the same name

End-to-End Neural Diarization: Reformulating Speaker Diarization as Simple Multi-label Classification.Y. Fujita, S. Watanabe, S. Horiguchi, Y. Xue, and K. Nagamatsu. CoRR, (2020)Online End-to-End Neural Diarization with Speaker-Tracing Buffer.Y. Xue, S. Horiguchi, Y. Fujita, S. Watanabe, and K. Nagamatsu. CoRR, (2020)Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR.N. Kanda, C. Böddeker, J. Heitkaemper, Y. Fujita, S. Horiguchi, K. Nagamatsu, and R. Haeb-Umbach. INTERSPEECH, page 1248-1252. ISCA, (2019)Semi-Supervised Training with Pseudo-Labeling for End-To-End Neural Diarization.Y. Takashima, Y. Fujita, S. Horiguchi, S. Watanabe, L. García-Perera, and K. Nagamatsu. Interspeech, page 3096-3100. ISCA, (2021)Data Augmentation Using Multi-Input Multi-Output Source Separation for Deep Neural Network Based Acoustic Modeling.Y. Fujita, R. Takashima, T. Homma, and M. Togami. INTERSPEECH, page 3818-3822. ISCA, (2016)Better Intermediates Improve CTC Inference.T. Komatsu, Y. Fujita, J. Lee, L. Lee, S. Watanabe, and Y. Kida. INTERSPEECH, page 4965-4969. ISCA, (2022)A method based on machine learning using hand-crafted features for crack detection from asphalt pavement surface images.Y. Fujita, K. Shimada, M. Ichihara, and Y. Hamamoto. QCAV, volume 10338 of SPIE Proceedings, page 103380I. SPIE, (2017)Development of a Gastric Cancer Diagnostic Support System with a Pattern Recognition Method Using a Hyperspectral Camera.H. Ogihara, Y. Hamamoto, Y. Fujita, A. Goto, J. Nishikawa, and I. Sakaida. J. Sensors, (2016)Acoustic Modeling for Distant Multi-talker Speech Recognition with Single- and Multi-channel Branches.N. Kanda, Y. Fujita, S. Horiguchi, R. Ikeshita, K. Nagamatsu, and S. Watanabe. ICASSP, page 6630-6634. IEEE, (2019)End-To-End Speaker Diarization as Post-Processing.S. Horiguchi, P. García, Y. Fujita, S. Watanabe, and K. Nagamatsu. ICASSP, page 7188-7192. IEEE, (2021)

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Disambiguation of "Fujita, Yusuke"

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Training ROI Selection Based on MILBoost for Liver Cirrhosis Classification Using Ultrasound Images.

Please choose a person to relate this publication to

Toko Fujita

Buntaro Fujita

Yusuke Sugihara

Masayuki Fujita

Masakatsu Fujita

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Fujita, Yusuke"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Training ROI Selection Based on MILBoost for Liver Cirrhosis Classification Using Ultrasound Images.

Please choose a person to relate this publication to

Toko Fujita

Buntaro Fujita

Yusuke Sugihara

Masayuki Fujita

Masakatsu Fujita

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

Training ROI Selection Based on MILBoost for Liver Cirrhosis Classification Using Ultrasound Images.