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Tomomoto Ishikawa
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2020 – today
- 2021
- [j5]Ryosuke Nishihara, Hidehiko Matsubayashi, Tomomoto Ishikawa, Kentaro Mori, Yutaka Hata:
On Measurement System for Frequency of Uterine Peristalsis. IEICE Trans. Inf. Syst. 104-D(8): 1154-1160 (2021) - 2020
- [c21]Ryosuke Nishihara, Hidehiko Matsubayashi, Tomomoto Ishikawa, Yutaka Hata:
Automated Diagnosis of the Frequency of Uterine Peristalsis for Female Infertility. ISMVL 2020: 7-11
2010 – 2019
- 2019
- [c20]Yuya Kinishi, Tomohiro Maekawa, Shimpei Mizuta, Tomomoto Ishikawa, Yutaka Hata:
Detection of Optimal Puncture Position in OVUM Images for Artificial Insemination. ICMLC 2019: 1-5 - 2018
- [j4]Yutaka Hata
, Yuya Takashima, Koki Tsukuda, Sho Kikuchi, Tomomoto Ishikawa:
Ultrasonic-Frequency-Based Visualization of Columnar Soft Matter Beyond Wavelength Limitations. IEEE Trans. Syst. Man Cybern. Syst. 48(2): 224-231 (2018) - [c19]Kentaro Mori, Kotaro Kitaya, Tomomoto Ishikawa, Yutaka Hata:
Analysis of Endometrium Form by Using LBP for Female Infertility. ICMLC 2018: 75-79 - [c18]Riku Kashiwaki, Tomomoto Ishikawa, Hidehiko Matsubayashi, Yutaka Hata:
Classification of Follicles by Ultrasonic Images. SMC 2018: 368-371 - [c17]Aoi Emura, Takayuki Yumoto, Teijiro Isokawa, Naotake Kamiura, Yutaka Hata, Tomomoto Ishikawa, Hidehiko Matsubayashi:
On Ultrasound-Measurement-Based Stenosis Detection in Fallopian Tubal Model Using Support Vector Machines. SMC 2018: 397-402 - [c16]Jun Shimada, Masakazu Morimoto
3D Follicle Reconstruction from Ultrasound Images for Ovum Estimation. SMC 2018: 3899-3902 - 2016
- [c15]Manabu Nii, Hideaki Kozakai, Masakazu Morimoto, Syoji Kobashi, Naotake Kamiura, Yutaka Hata, Seturo Imawaki, Tomomoto Ishikawa, Hidehiko Matsubayashi:
Identification of ovarian follicle with ovum from ultrasonic images. SMC 2016: 1514-1518 - 2014
- [j3]Naomi Yagi
Stem Cell Quantity Determination in Artificial Culture Bone by Ultrasonic Testing. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 97-A(4): 913-922 (2014) - [c14]Ryosuke Nakano, Syoji Kobashi, Kei Kuramoto, Yuki Wakata, Kumiko Ando, Reiichi Ishikura, Tomomoto Ishikawa, Shozo Hirota, Yutaka Hata:
Fuzzy object growth model for newborn brain using Manifold learning. FUZZ-IEEE 2014: 1809-1816 - [p2]Koki Tsukuda, Tomomoto Ishikawa, Seturo Imawaki, Yutaka Hata:
A Fuzzy Ultrasonic Imaging Method for Healthy Seminiferous Tubules. Advanced Intelligent Systems 2014: 125-136 - [p1]Naomi Yagi, Tomomoto Ishikawa, Setsurou Imawaki, Yutaka Hata:
Ultrasonic Mobile Smart Technology for Healthcare. Advanced Intelligent Systems 2014: 137-146 - 2013
- [j2]Naomi Yagi
YURAGI Synthesis for Ultrasonic Human Brain Imaging. J. Adv. Comput. Intell. Intell. Informatics 17(1): 74-82 (2013) - [c13]Syoji Kobashi
A priori knowledge based deformable surface model for newborn brain MR image segmentation. CIMI 2013: 1-5 - [c12]Naomi Yagi
Noninvasive cellular quantity measurement in Bone Marrow Stromal Cells/ Beta-tricalcium phosphate. EMBC 2013: 2048-2051 - [c11]Naomi Yagi
Ultrasonic Frequency Response Analysis for Quantitative Measurements in Bone Marrow Stromal Cells. SMC 2013: 3420-3424 - [c10]Koki Tsukuda, Tomomoto Ishikawa, Yutaka Hata:
An Ultrasonic Imaging for Seminiferous Tubules Beyond the Wavelength Limit. SMC 2013: 3760-3764 - 2012
- [j1]Aya Hashioka, Syoji Kobashi
A neonatal brain MR image template of 1 week newborn. Int. J. Comput. Assist. Radiol. Surg. 7(2): 273-280 (2012) - [c9]Yuya Takashima, Tomomoto Ishikawa, Kei Kuramoto, Syoji Kobashi
Ultrasonic thickness evaluation of seminiferous tubule by fuzzy inference. FUZZ-IEEE 2012: 1-5 - [c8]Yuya Takashima, Tomomoto Ishikawa, Syoji Kobashi
Ultrasonic Evaluation of Seminiferous Tubules by Frequency Map. ICETET 2012: 7-12 - [c7]Aya Hashioka, Kei Kuramoto, Syoji Kobashi
Fuzzy object shape model for newborn brain MR image segmentation. SCIS&ISIS 2012: 1253-1258 - [c6]Naomi Yagi
Human brain ultrasound-mediated diagnosis in emergency medicine and home health care. SCIS&ISIS 2012: 1269-1274 - 2011
- [c5]Yuya Takashima, Kei Kuramoto, Syoji Kobashi
A testicular tubule evaluation method by ultrasonic array probe. FUZZ-IEEE 2011: 1013-1016 - [c4]Syoji Kobashi
Particle filter for implanted knee kinematic analysis using dynamic radiograph video. SMC 2011: 746-751 - [c3]Masato Nakamura, Tomomoto Ishikawa, Syoji Kobashi
Blood flow detection under skull by Doppler effect. SMC 2011: 758-763 - [c2]Takahiro Takeda, Yoshitada Sakai, Kei Kuramoto, Syoji Kobashi
Foot age estimation for fall-prevention using sole pressure by fuzzy logic. SMC 2011: 769-774 - [c1]Aya Hashioka, Kosuke Yamaguchi, Syoji Kobashi
Neonatal brain MR image segmentation based on system-of-systems in engineering technology. SoSE 2011: 107-112
Coauthor Index
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