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Sakata, Yukinobu
18  results:
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1

Real-time nonstandard-shaped gold fiducial marker tracking ..:

Sakata, Yukinobu ; Umene, Kenta ; Asaka, Saori...
Physics in Medicine & Biology.  69 (2024)  2 - p. 025007 , 2024
Link: https://doi.org/10.1088/..
 
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2

Shortening image registration time using a deep neural netw..:

Mori, Shinichiro ; Hirai, Ryusuke ; Sakata, Yukinobu..
Physical and Engineering Sciences in Medicine.  46 (2023)  4 - p. 1563-1572 , 2023
Link: https://doi.org/10.1007/..
 
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3

Deep neural network-based synthetic image digital fluorosco..:

Mori, Shinichiro ; Hirai, Ryusuke ; Sakata, Yukinobu...
Physical and Engineering Sciences in Medicine.  46 (2023)  3 - p. 1227-1237 , 2023
Link: https://doi.org/10.1007/..
 
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4

Anomaly Detection and Debugging by Kernel Ridge Reconstruct..:

, In: Deep Learning Applications, Volume 4; Advances in Intelligent Systems and Computing,
Furusho, Yasutaka ; Nitta, Shuhei ; Sakata, Yukinobu - p. 217-234 , 2022
Link: https://doi.org/10.1007/..
 
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5

Simulated four-dimensional CT for markerless tumor tracking..:

Mori, Shinichiro ; Hirai, Ryusuke ; Sakata, Yukinobu
Physica Medica.  80 (2020)  - p. 151-158 , 2020
Link: https://doi.org/10.1016/..
 
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6

Regression model-based real-time markerless tumor tracking ..:

Hirai, Ryusuke ; Sakata, Yukinobu ; Tanizawa, Akiyuki.
Physica Medica.  70 (2020)  - p. 196-205 , 2020
Link: https://doi.org/10.1016/..
 
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7

Real-time tumor tracking using fluoroscopic imaging with de..:

Hirai, Ryusuke ; Sakata, Yukinobu ; Tanizawa, Akiyuki.
Physica Medica.  59 (2019)  - p. 22-29 , 2019
Link: https://doi.org/10.1016/..
 
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8

Using a deep neural network for four-dimensional CT artifac..:

Mori, Shinichiro ; Hirai, Ryusuke ; Sakata, Yukinobu
Physica Medica.  65 (2019)  - p. 67-75 , 2019
Link: https://doi.org/10.1016/..
 
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9

Commissioning of a fluoroscopic‐based real‐time markerless ..:

Mori, Shinichiro ; Sakata, Yukinobu ; Hirai, Ryusuke...
Medical Physics.  46 (2019)  4 - p. 1561-1574 , 2019
Link: https://doi.org/10.1002/..
 
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10

Automatic 14-plane slice-alignment method for ventricular a..:

Nitta, Shuhei ; Shiodera, Taichiro ; Sakata, Yukinobu...
Journal of Cardiovascular Magnetic Resonance.  16 (2014)  - p. P1 , 2014
Link: https://doi.org/10.1186/..
 
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11

Multi-ethnic evaluation of fully automatic planning assist ..:

Kuhara, Shigehide ; Nitta, Shuhei ; Shiodera, Taichiro...
Journal of Cardiovascular Magnetic Resonance.  16 (2014)  - p. P76 , 2014
Link: https://doi.org/10.1186/..
 
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12

Automatic model-based contour detection of left ventricle m..:

Sugiura, Takamasa ; Takeguchi, Tomoyuki ; Sakata, Yukinobu...
International Journal of Computer Assisted Radiology and Surgery.  8 (2012)  1 - p. 145-155 , 2012
Link: https://doi.org/10.1007/..
 
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13

Successive pattern classification based on test feature cla..:

Sakata, Yukinobu ; Kaneko, Shuni'chi ; Takagi, Yuji.
Pattern Recognition.  38 (2005)  11 - p. 1847-1856 , 2005
Link: https://doi.org/10.1016/..
 
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14

Decomposable-Net: Scalable Low-Rank Compression for Neural ..:

Yaguchi, Atsushi ; Suzuki, Taiji ; Nitta, Shuhei..
http://arxiv.org/abs/1910.13141.  , 2019
Link: http://arxiv.org/abs/191..
 
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15

Adam Induces Implicit Weight Sparsity in Rectifier Neural N..:

Yaguchi, Atsushi ; Suzuki, Taiji ; Asano, Wataru...
http://arxiv.org/abs/1812.08119.  , 2018
Link: http://arxiv.org/abs/181..
 
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