Nemoto Mitsutaka

ネモトミツタカ | Nemoto Mitsutaka

Affiliation and department：
Job title： Associate Professor
Homepage URL (1)： https://sites.google.com/waka.kindai.ac.jp/nemoto-medicot-lab

Research field (2)： Medical systems , Perceptual information processing

Research keywords (7)： Deep learning , Computer-aided diagnosis , Computational anatomy , Machine learning , Pattern recognition , Medical image analysis , 画像情報処理

Research theme for competitive and other funds (6)：

2020 - 2024 肉用牛における肥育状態の生体評価法の開発と産肉制御の分子機構の解明
2020 - 2023 Computer-aided detection development based on semi-supervised learning with medical chart information
2017 - 2019 解剖学的ランドマーク情報を用いた3次元医用画像上の病変認識処理の効率的深層学習
2017 - 2018 画像特徴量の自動生成を用いた医用画像からの病変検出システムの自動開発
2013 - 2016 医用画像工学オープンディクショナリ研究会

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Papers (42)：

Yukako Nakamae, Ryusuke Deguchi, Mitsutaka Nemoto, Yuichi Kimura, Shimpei Yamashita, Yasuo Kohjimoto, Isao Hara. AI prediction of extracorporeal shock wave lithotripsy outcomes for ureteral stones by machine learning-based analysis with a variety of stone and patient characteristics. Urolithiasis. 2023. 52. 1
K. Mikami, M. Nemoto, A. Ishinoda, T. Nagura, M. Nakamura, M. Matsumoto, D. Nakashima. Improvement of Machine Learning-Based Prediction of Pedicle Screw Stability in Laser Resonance Frequency Analysis via Data Augmentation from Micro-CT Images. Appl. Sci. 2023. 13. 15. 9037
Mitsutaka Nemoto, Kazuyuki Ushifusa, Yuichi Kimura, Takashi Nagaoka, Takahiro Yamada, Takeharu Yoshikawa. Unsupervised Feature Extraction for Various Computer-Aided Diagnosis Using Multiple Convolutional Autoencoders and 2.5-Dimensional Local Image Analysis. Applied Sciences. 2023. 13. 14. 8330-8330
Katsuhiro Mikami, Akihiro Ishinoda, Mitsutaka Nemoto. Characterization of Laser-Induced Photothermal Vibration for Young’s Modulus Imaging toward Computer-Aided Detection. Applied Sciences. 2023. 13. 6. 3639-3639
Masato Takahashi, Tomomi Takenaga, Yukihiro Nomura, Shouhei Hanaoka, Naoto Hayashi, Mitsutaka Nemoto, Takahiro Nakao, Soichiro Miki, Takeharu Yoshikawa, Tomoya Kobayashi, et al. Automated volume measurement of abdominal adipose tissue from entire abdominal cavity in Dixon MR images using deep learning. Radiological Physics and Technology. 2022. 16. 1. 28-38

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MISC (55)：

Arata Segawa, Mitsutaka Nemoto, Hayato Kaida, Yuichi Kimura, Takashi Nagaoka, Katsuhiro Mikami, Takahiro Yamada, Kohei Hanaoka, Tatsuya Tsuchitani, Kazuhiro Kitajima, et al. Unsupervised lung lesion detection on FDG-PET/CT images by deep image transformation-based 2.5-dimensional local anomaly detection. SPIE Medical Imaging 2024: Imaging Informatics for Healthcare, Research, and Applications. 2024
Yuken Yoshioka, Daichi Ikefuji, Tomokazu Funatsu, Takashi Nagaoka, Takenori Kozuka, Mitsutaka Nemoto, Takahiro Yamada, Yuichi Kimura, Kazunari Ishii, Hitoshi Habe. Pre-training of Pneumonia Classifier for Chest CT images using Fractal Database. The 29th International Workshop on Frontiers of Computer Vision (IW-FCV2023) Online Proceeding. 2023. 77-84
Watanabe A, Yamada T, Nagaoka T, Nemoto M, Watabe H, Ibaraki M, Matsubara K, Hanaoka K, Ishii K, Kimura Y. Evaluation on Applicability of Generative Adversarial Network to Synthesize Training Images for AI-Based Computer Aided Diagnostic Algorithm to Dementia. 13th World Federation of Nuclear Medicine and Biology. 2022
Segawa A, Nemoto M, Kaida H, Kimura Y, Nagaoka T, Yamaguchi H, Nakamae Y, Yamada T, Hanaoka K, Kitajima K, et al. Study for detecting pulmonary nodules on FDG-PET/CT images with training small dataset. 13th World Federation of Nuclear Medicine and Biology. 2022
Yamaguchi H, Nemoto M, Kaida H, Kimura Y, Nagaoka T, Yamada T, Hanaoka K, Kitajima K, Tsuchitani T, Ishii K. Detection of Bone Metastasis on FDG-PET/CT Images using Multi-step Anomaly Voxel Detection and Local Patch analysis with Unsupervised Deep Features and Image Textures. 13th World Federation of Nuclear Medicine and Biology. 2022

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Books (1)：

AI: A Machine-Learning-Based Framework for Developing Various Computer-Aided Detection Systems with Generated Image Features (In Multidisciplinary computational anatomy : toward integration of artificial intelligence with MCA-based medicine)
Springer Singapore 2022 ISBN:9789811643248

Lectures and oral presentations (135)：

Estimation of Bone Density by Machine Learning with L-RFA data
(The 10th Biomedical Imaging and Sensing Conference (BISC2024) 2024)
Investigation of elastography for soft tissue by laser-induced photo thermal elastic wave
(The 13th Advanced Lasers and Photon Sources (ALPS2024) 2024)
深層学習識別器の効果的な事前学習のためのフラクタル画像を用いたデータ拡張
(情報処理学会第86回全国大会 2024)
画像診断AI開発における自動アノテーション処理の学習データ量と精度の関係の実験的検証
(電子情報通信学会医用画像研究会 2024)
3次元Pix2Pix画像モダリティ変換を用いたFDG-PET/CT像上の半教師あり胸部病変検出
(電子情報通信学会医用画像研究会 2024)

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Professional career (1)：

PhD in Engineering

Work history (4)：

2024/04 - 現在 Kindai University Faculty of Biology-Oriented Science and Technology Department of Biomedical Engineering Associate Professor
2017/04 - 2024/03 Kindai University Faculty of Biology-Oriented Science and Technology Department of Biomedical Engineering Lecturer
2014/04 - 2017/03 The University of Tokyo Hospital 22nd Century Medical and Research Center Project researcher
2007/04 - 2014/03 University of Tokyo Hospital Department of Radiology Project researcher

Committee career (9)：

2023/06 - 現在 The Institute of Electronics, Information and Communication Engineers Technical Committee Member on Medical Imaging
2022/04 - 現在 Japanese Society of Medical Imaging Technology Delegate
2021/02 - 現在 Japanese Society for Medical and Biological Engineering Editorial Committee
2021/01 - 現在日本生体医工学会生体画像と医用人工知能研究会幹事
2020/07 - 現在 Examination Committee Member, National Examination for Clinical Engineering Technicians

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Awards (9)：

2024/02 - SPIE Medical Imaging 2024 Honorable Mention Poster Award Unsupervised lung lesion detection on FDG-PET/CT images by deep image transformation-based 2.5-dimensional local anomaly detection.
2023/05 - Japanese Society for Medical and Biological Engineering Young Investigator’s Award, Excellence Place
2022/06 - 日本生体医工学会日本生体医工学会臨床工学技士研究発表奨励賞深層画像生成技術を用いたFDG-PET/CT像異常検知による病変強調
2020/09 - The Institute of Electronics, Information and Communication Engineers Medical Imaging (MI) Young Researcher's Award A study of generalized generation of image features for computer-aided detection systems based on unsupervised learning with normal datasets - Experimental evaluations of feature generation by small datasets
2019/06 - Japanese Society for Medical and Biological Engineering Young Investigator’s Award, Excellence Place

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Association Membership(s) (5)：

JAPAN RADIOLOGICAL SOCIETY , THE JAPANESE SOCIETY OF MEDICAL IMAGING TECHNOLOGY , THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS , JAPANESE SOCIETY FOR MEDICAL AND BIOLOGICAL ENGINEERING , JAPANESE SOCIETY OF NUCLEAR MEDICINE

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