Rchr
J-GLOBAL ID：201201000701143969
Update date: Sep. 28, 2024
Wakabayashi Tetsushi
Wakabayashi Tetsushi
Research field (1)：
Perceptual information processing
Research keywords (4)：
Medical image processing
, Video analysis
, Machine learning
, Pattern recognition
Research theme for competitive and other funds (4)：
- 2022 - 2025 Chronobiologically Considered Support Model to avoid hardness to raise a child for Parents of a 4-month-old children experienced treatment under NICU environment
- 2021 - 2024 Automatic Classification of Neonatal Sleep-Wake States by Video Analysis
- 2016 - 2020 Prospective study of how NICU high illuminance environment influence the preterm infants' sleep-wake rhythm formation and physical, mental development
- 2016 - 2019 Accuracy improvement of the 3D rotation angle estimation of characters by the probabilistic interpolation
Papers (140)：
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Tetsuro Sasaki, Kento Morita, Tetsushi Wakabayashi. License Plate Recognition Using Three-Dimensional Rotated Character Recognition and Instance Segmentation by Deep Learning. Journal of Advanced Computational Intelligence and Intelligent Informatics. 2024. 28. 5. 1178-1185
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Yuki Ito, Kento Morita, Asami Matsumoto, Harumi Shinkoda, Tetsushi Wakabayashi. Automatic Classification of Sleep-wake States of Newborns Using Only Body and Face Videos. Journal of Advanced Computational Intelligence and Intelligent Informatics. 2024. 28. 4
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Tomohito Hagi, Tomoki Nakamura, Hiroto Yuasa, Katsunori Uchida, Kunihiro Asanuma, Akihiro Sudo, Tetsushi Wakabayahsi, Kento Morita. Prediction of prognosis using artificial intelligence-based histopathological image analysis in patients with soft tissue sarcomas. Cancer Medicine. 2024. 13. 10
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Preoperative Osteonecrosis Region Detection Using Contrastive Learning and SVM. 2024. 36. 2
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Mehieddine Boudissa, Hiroharu Kawanaka, Tetsushi Wakabayashi. Quality Evaluation of Road Surface Markings with Uncertainty Aware Regression and Progressive Pretraining. J. Adv. Comput. Intell. Intell. Informatics. 2024. 28. 3. 634-643
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MISC (304)：
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盛田健人, 盛田健人, 石田修也, 畠山金太, 蓮乃駿, 渡辺翔吾, 小橋昌司, 小橋昌司, 若林哲史, 飯原弘二. CEA術後病理画像を用いた人工知能による循環器病発症予測. 日本動脈硬化学会総会・学術集会プログラム・抄録集(Web). 2024. 56th
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石田 修也, 盛田 健人, 連 乃駿, 渡辺 翔吾, 小橋 昌司, 畠山 金太, 飯原 弘二, 若林 哲史. CEA術後病理画像を用いた異常検知による循環器病発症予測. 日本医用画像工学会大会予稿集. 2023. 42回. 165-166
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手島海渡, 盛田健人, 若林哲史. 鋼橋架設におけるSVMを用いた高力ボルト自動検出法. 画像センシングシンポジウム講演資料集(Web). 2023. 29th
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西田健太郎, 盛田健人, 真川祥一, 池田智明, 二井理文, 若林哲史. BOLD-MRI動画像に対する胎盤領域半自動抽出法. 日本生体医工学会大会プログラム・抄録集(Web). 2023. 62nd
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桐生拓実, 若林哲史, 盛田健人. Mask R-CNNを用いたオフライン手書き楽譜自動認識の高精度化. 画像センシングシンポジウム講演資料集(Web). 2023. 29th
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Association Membership(s) (3)：
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