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ORCIDKento Morita 0001
Person information
- affiliation: University of Hyogo, Japan
Other persons with the same name
- Kento Morita 0002 — Kanazawa University, School of Electrical, Information and Communication Engineering, Japan
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2020 – today
- 2024
[j6]Yuki Ito, Kento Morita
, Asami Matsumoto, Harumi Shinkoda, Tetsushi Wakabayashi:
Automatic Classification of Sleep-Wake States of Newborns Using Only Body and Face Videos. J. Adv. Comput. Intell. Intell. Informatics 28(4): 783-792 (2024)- [j5]Tetsuro Sasaki, Kento Morita, Tetsushi Wakabayashi:
License Plate Recognition Using Three-Dimensional Rotated Character Recognition and Instance Segmentation by Deep Learning. J. Adv. Comput. Intell. Intell. Informatics 28(5): 1178-1185 (2024) - 2023
- [j4]Andi Prademon Yunus, Kento Morita, Nobu C. Shirai, Tetsushi Wakabayashi:
Time Series Self-Attention Approach for Human Motion Forecasting: A Baseline 2D Pose Forecasting. J. Adv. Comput. Intell. Intell. Informatics 27(3): 445-457 (2023) - [c21]Kentaro Nishida, Kento Morita, Shoichi Magawa, Masafumi Nii, Tomoaki Ikeda, Tetsushi Wakabayashi:
Semi-Automatic Placenta Segmentation Based on Time-Series Superpixel Propagation for Fetal Growth Restriction Estimation. SMC 2023: 1623-1628 - 2022
- [j3]Kohei Nakatsu, Rashedur Rahman, Kento Morita, Daisuke Fujita, Syoji Kobashi:
Automatic Carpal Site Detection Method for Evaluation of Rheumatoid Arthritis Using Deep Learning. J. Adv. Comput. Intell. Intell. Informatics 26(1): 42-50 (2022) - [j2]Kento Morita, Nobu C. Shirai, Harumi Shinkoda, Asami Matsumoto, Yukari Noguchi, Masako Shiramizu, Tetsushi Wakabayashi:
Automatic Neonatal Alertness State Classification Based on Facial Expression Recognition. J. Adv. Comput. Intell. Intell. Informatics 26(2): 188-195 (2022) - [c20]Kaito Furuo, Kento Morita, Tomohito Hagi, Tomoki Nakamura, Kunihiro Asanuma, Akihiro Sudo, Tetsushi Wakabayashi:
Tumor segmentation using CNN for automatic diagnosis of bone tumor in X-ray image. SCIS/ISIS 2022: 1-5 - [c19]Yuta Okajima, Kento Morita, Tetsushi Wakabayashi:
Free handwritten string recognition using CNN and DP matching. SCIS/ISIS 2022: 1-5 - [c18]Tetsuro Sasaki, Kento Morita, Tetsushi Wakabayashi:
License plate recognition using 3D rotated character recognition and deep learning. SCIS/ISIS 2022: 1-6 - [c17]Yasuhide Nonaka, Kento Morita, Tomohito Hagi, Tomoki Nakamura, Kunihiro Asanuma, Akihiro Sudo, Katsunori Uchida, Tetsushi Wakabayashi:
CNN Based survivability prediction Using Pathological Image of Soft Tissue Tumor. SMC 2022: 1886-1890 - [c16]Yuki Ito, Kento Morita, Tetsushi Wakabayashi, Harumi Shinkoda, Asami Matsumoto, Yukari Noguchi, Masako Shiramizu:
Automatic Estimation of Neonatal Sleep/Wake States in the NICU Using 3D CNN. WAC 2022: 163-168 - [c15]Hideaki Hoshino, Kento Morita, Daisuke Takeda, Takumi Hasegawa, Tetsushi Wakabayashi:
Automatic Osteomyelitis Area Estimation in Head CT Using Contrastive Learning. WAC 2022: 169-173 - 2021
- [c14]Hideaki Hoshino, Kento Morita, Daisuke Takeda, Takumi Hasegawa, Tetsushi Wakabayashi:
Automatic osteomyelitis area estimation in head CT using anomaly detection. CYBCONF 2021: 19-23 - [c13]Kaito Furuo, Kento Morita, Tomohito Hagi, Tomoki Nakamura, Tetsushi Wakabayashi:
Automatic benign and malignant estimation of bone tumors using deep learning. CYBCONF 2021: 30-33 - [c12]Yukinobu Matsuoka, Kento Morita, Daisuke Takeda, Takumi Hasegawa, Tetsushi Wakabayashi:
Automated registration of pre-operative head CT image and pathology images for osteoradionecrosis area estimation. WAC 2021: 55-60 - [c11]Kohei Nakatsu, Kento Morita, Daisuke Fujita, Syoji Kobashi:
Comparison of Machine Learning Methods for Predicting Modified Total Shape Score in X-ray Radiography. WAC 2021: 86-91 - 2020
- [c10]Kohei Nakatsu, Kento Morita, Naomi Yagi, Syoji Kobashi:
Finger Joint Detection Method in Hand X-ray Radiograph Images Using Statistical Shape Model and Support Vector Machine. CcS 2020: 1-5
2010 – 2019
- 2019
- [c9]Takeo Ishihara, Kento Morita, Nobu C. Shirai, Tetsushi Wakabayashi, Wataru Ohyama:
Chart-Type Classification Using Convolutional Neural Network for Scholarly Figures. ACPR (2) 2019: 252-261 - 2018
- [j1]Kento Morita, Manabu Nii, Norikazu Ikoma, Takatoshi Morooka, Shinichi Yoshiya, Syoji Kobashi:
Implanted Knee Joint Kinematics Recognition in Digital Radiograph Images Using Particle Filter. J. Adv. Comput. Intell. Intell. Informatics 22(1): 113-120 (2018) - [c8]Kento Morita, Patrick Chan, Manabu Nii, Natsuko Nakagawa, Syoji Kobashi:
Finger Joint Detection Method for the Automatic Estimation of Rheumatoid Arthritis Progression Using Machine Learning. SMC 2018: 1315-1320 - 2017
- [c7]Kento Morita, Atsuki Tashita, Manabu Nii, Syoji Kobashi:
Computer-aided diagnosis system for Rheumatoid Arthritis using machine learning. ICMLC 2017: 357-360 - [c6]Kento Morita, Manabu Nii, Norikazu Ikoma, Takatoshi Morooka, Shinichi Yoshiya, Syoji Kobashi:
Particle filter based implanted knee kinematics analysis for the postoperative evaluation. SMC 2017: 3095-3100 - 2016
- [c5]Kento Morita, Syoji Kobashi, Kaori Kashiwa, Hiroshi Nakayama, Shunichiro Kambara, Masakazu Morimoto, Shinichi Yoshiya, Satoru Aikawa:
Blumensaat's line detection for Quadrant method on MR images. FUZZ-IEEE 2016: 2144-2149 - [c4]Kento Morita, Manabu Nii, Shunichiro Kambara, Kaori Kashiwa, Hiroshi Nakayama, Shinichi Yoshiya, Syoji Kobashi:
Clinical big image data based pre-operative planning in ACL reconstruction. ICMLC 2016: 19-23 - [c3]Kento Morita, Manabu Nii, Fumiaki Imamura, Takatoshi Morooka, Shinichi Yoshiya, Syoji Kobashi:
Implanted Knee Kinematics Analysis by 2-D/3-D Registration Using Particle Filter. SCIS&ISIS 2016: 827-831 - 2015
- [c2]Kento Morita, Syoji Kobashi, Yuki Wakata, Kumiko Ando, Reiichi Ishikura, Naotake Kamiura:
ICP based neonatal brain MRI normalization method. FUZZ-IEEE 2015: 1-7 - [c1]Kento Morita, Syoji Kobashi, Kaori Kashiwa, Hiroshi Nakayama, Shunichiro Kambara, Masakazu Morimoto, Shinichi Yoshiya, Satoru Aikawa:
Computer-aided Surgical Planning of Anterior Cruciate Ligament Reconstruction in MR Images. KES 2015: 1659-1667
Coauthor Index
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