Nemoto Mitsutaka 根本充貴

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NEMOTO Mitsutaka 根本充貴

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Researcher Number	10451808
Other IDs
Affiliation (Current)	2025: 近畿大学, 生物理工学部, 准教授
Affiliation (based on the past Project Information) *help	2025: 近畿大学, 生物理工学部, 准教授 2017 – 2023: 近畿大学, 生物理工学部, 講師 2012: 東京大学, 医学部附属病院, 研究員 2011 – 2012: 東京大学, 医学部附属病院, 特任研究員
Review Section/Research Field	Principal Investigator Basic Section 61030:Intelligent informatics-related / Science and Engineering / Intelligent informatics / Perception information processing/Intelligent robotics Except Principal Investigator Basic Section 42010:Animal production science-related
Keywords	Principal Investigator コンピュータ検出支援 / 診断支援 / 医用画像認識 / 機械学習 / 解剖学的ランドマーク / 医用画像診断 / 深層学習 / カルテ情報 / 半教師あり学習 / FDG-PET/CT像 … More / 異常検知 / U-Net / 肺結節 / 胸部CT像 / 病変領域教師ラベル / 適応的閾値処理 / 3D U-Net / 医用画像 / 弱教師学習 / コンピュータ支援診断AI / 特徴量自動生成 / 畳み込みニューラルネットワーク / 畳み込みオートエンコーダ / 健常構造の学習 / 局所画像特徴量 / Fine Tuning / 畳込みニューラルネットワーク / プレトレーニングモデル / 深層畳み込みニューラルネットワーク / 転移学習 / すりガラス状結節 / テクスチャ解析 / 医用画像理解 / 多様体学習 / 画像情報処理 … More Except Principal Investigator 生体評価法 / プロテオミクス解析 / 肥育牛 / プロテオミクス / 産肉形質 / 生体評価 / 肉用牛 / 機械学習 / 枝肉形質 / バイオマーカータンパク質 Less

AI画像診断支援システムの効果的学習に向けた人体解剖知識の活用Principal Investigator
- Principal Investigator
  
  根本充貴
- Project Period (FY)
  2025 – 2027
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  Kindai University
Computer-aided detection development based on semi-supervised learning with medical chart informationPrincipal Investigator
- Principal Investigator
  
  Mitsutaka Nemoto
- Project Period (FY)
  2020 – 2022
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  Kindai University
Development of a biological evaluation method for fattening status in beef cattle and elucidation of the molecular mechanisms controlling meat production
- Principal Investigator
  
  Matsumoto Kazuya
- Project Period (FY)
  2020 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 42010:Animal production science-related
- Research Institution
  Kindai University
An efficient deep learning method to detect lesions on 3D medical images via information of anatomical landmarksPrincipal Investigator
- Principal Investigator
  
  Nemoto Mitsutaka
- Project Period (FY)
  2017 – 2019
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Intelligent informatics
- Research Institution
  Kindai University
A uniform method for automatically developing various computer-aided detection systems using image feature generationPrincipal Investigator
- Principal Investigator
  
  根本充貴
- Project Period (FY)
  2017 – 2018
- Research Category
  
  Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
- Review Section
  
  Science and Engineering
- Research Institution
  Kindai University
Development of manifold learning based texture analysis for lesions within noise included medical imagesPrincipal Investigator
- Principal Investigator
  
  NEMOTO Mitsutaka
- Project Period (FY)
  2011 – 2012
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Perception information processing/Intelligent robotics
- Research Institution
  The University of Tokyo

All 2023 2022 2021 2020 2019 2018 2017 2013 2012

All Journal Article Presentation

[Journal Article] A review on AI in PET imaging2022
- Author(s)
  Matsubara Keisuke、Ibaraki Masanobu、Nemoto Mitsutaka、Watabe Hiroshi、Kimura Yuichi
- Journal Title
  
  Annals of Nuclear Medicine
  
  Volume: 36 Issue: 2 Pages: 133-143
- DOI
  10.1007/s12149-021-01710-8
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K08239, KAKENHI-PROJECT-20K11944
[Journal Article] Automatic detection of primary and metastatic lesions on cervicothoracic region and whole-body bone using a uniform machine-learnable approach for [18F]-FDG-PET/CT image analysis2022
- Author(s)
  Nemoto Mitsutaka、Tanaka Atsuko、Kaida Hayato、Kimura Yuichi、Nagaoka Takashi、Yamada Takahiro、Hanaoka Kohei、Kitajima Kazuhiro、Tsuchitani Tatsuya、Ishii Kazunari
- Journal Title
  
  Physics in Medicine & Biology
  
  Volume: 67 Issue: 19 Pages: 195013-195013
- DOI
  10.1088/1361-6560/ac9173
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K12698, KAKENHI-PROJECT-20K11944
[Journal Article] Deep Learning for Computer-Aided Diagnosis in Brain Images2017
- Author(s)
  根本充貴
- Journal Title
  
  Medical Imaging Technology
  
  Volume: 35 Issue: 4 Pages: 200-205
- DOI
  10.11409/mit.35.200
- NAID
  130006108064
- ISSN
  0288-450X, 2185-3193
- Language
  Japanese
- Data Source
  KAKENHI-PROJECT-17K17680
[Journal Article] Feasibility Study of a Generalized Framework for Developing Computer-Aided Detection Systems?a New Paradigm2017
- Author(s)
  Nemoto Mitsutaka、Hayashi Naoto、Hanaoka Shouhei、Nomura Yukihiro、Miki Soichiro、Yoshikawa Takeharu
- Journal Title
  
  Journal of Digital Imaging
  
  Volume: 30 Issue: 5 Pages: 629-639
- DOI
  10.1007/s10278-017-9968-3
- Peer Reviewed
- Data Source
  KAKENHI-PUBLICLY-17H05284
[Presentation] Pix2Pix画像スタイル変換を用いた教師無し異常検知によるFDG-PET/CT像上肺病変強調2023
- Author(s)
  大谷和暉、根本充貴、甲斐田勇人、瀬川新、中前有香子、村中皓紀、吉田昂平、北島一宏、石井一成
- Organizer
  第62回日本生体医工学会大会
- Data Source
  KAKENHI-PROJECT-20K11944
[Presentation] 画像診断支援システムの弱教師学習に向けたCT 像マルチウィンドウ画像解析による肺結節教師領域ラベル自動推定2023
- Author(s)
  村中皓紀、根本充貴、木村裕一、永岡隆、細田和史、大谷和暉、吉田昂平、吉川健啓
- Organizer
  第62回日本生体医工学会大会
- Data Source
  KAKENHI-PROJECT-20K11944
[Presentation] 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 Textures2022
- Author(s)
  H. Yamaguchi, M. Nemoto, H. Kaida, Y. Kimura, T. Nagaoka, T. Yamada, K. Hanaoka, K. Kitajima, T. Tsuchitani, K. Ishii
- Organizer
  World Federation of Nuclear Medicine and Biology (WFNMB) 2022
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K11944
[Presentation] Study for detecting pulmonary nodules on FDG-PET/CT images by deep image generation-based anomaly detection with training small dataset2022
- Author(s)
  A Segawa, M Nemoto, H Kaida, Y Kimura, T Nagaoka, H Yamaguchi, Y Nakamae, T Yamada, K Hanaoka, K Kitajima, T Tsuchitani, K Ishii
- Organizer
  World Federation of Nuclear Medicine and Biology (WFNMB) 2022
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K11944
[Presentation] 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2022
- Author(s)
  瀬川新、根本充貴、甲斐田勇人、山口明乃、木村裕一、永岡隆、山田誉大、北島一宏、石井一成
- Organizer
  第61回日本生体医工学会大会
- Data Source
  KAKENHI-PROJECT-20K11944
[Presentation] FDG-PET/CT画像に対する2種類の異常検知を用いたがん骨転移病変の自動検出2021
- Author(s)
  山口明乃, 根本充貴，甲斐田勇人，木村裕一，永岡隆，山田誉大，花岡宏平，北島一宏，槌谷達也，石井一成
- Organizer
  第61回日本核医学会学術総会
- Data Source
  KAKENHI-PROJECT-20K11944
[Presentation] 2種類のAI異常検知カスケードを用いたFDG-PET/CT像上がん骨転移検出2021
- Author(s)
  山口明乃,根本充貴,甲斐田勇人,木村裕一, 永岡隆,山田誉大,花岡宏平,北島一宏,槌谷達也,石井一成
- Organizer
  第60回日本生体医工学会大会
- Data Source
  KAKENHI-PROJECT-20K11944
[Presentation] 多段の画素異常検知によるFDG-PET/CT上のがん骨転移候補検出2021
- Author(s)
  山口明乃, 根本充貴，甲斐田勇人，木村裕一，永岡隆，山田誉大，花岡宏平，北島一宏，槌谷達也，石井一成
- Organizer
  第40回日本医用画像工学会大会
- Data Source
  KAKENHI-PROJECT-20K11944
[Presentation] Detection of cerebral aneurysms on MR angiography using generated features by unsupervised deep learning for multiple 2.5-dimensional images2021
- Author(s)
  K. Ushifusa, M. Nemoto, Y. Kimura, T. Nagaoka, T. Yamada, N. Hayashi
- Organizer
  International Forum on Medical Imaging in Asia
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K11944
[Presentation] Detection of bone metastases on FDG-PET/CT images by using two-step anomaly detection.2021
- Author(s)
  H Yamaguchi, M Nemoto, H Kaida, Y Kimura, T Nagaoka, T Yamada, K Hanaoka, K Kitajima, T Tsuchitani, K. Ishii
- Organizer
  CARS 2021 - Computer Assisted Radiology and Surgery
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K11944
[Presentation] one-class SVMによる画素悪性度の集中性を用いたFDG-PET/CT上の病変自動検出2020
- Author(s)
  田中敦子，根本充貴，甲斐田勇人，木村裕一，永岡隆，山田誉大，牛房和之，花岡宏平，北島一宏，槌谷達也，石井一成
- Organizer
  日本医用画像工学会大会
- Data Source
  KAKENHI-PROJECT-20K11944
[Presentation] One-class SVMを用いた異常検知によるPET/CT上の骨転移病変自動検出2020
- Author(s)
  田中敦子，根本充貴，甲斐田勇人，木村裕一，永岡隆，山田誉大，牛房和之，花岡宏平，北島一宏，槌谷達也，石井一成
- Organizer
  日本核医学会学術総会
- Data Source
  KAKENHI-PROJECT-20K11944
[Presentation] 少数症例を用いた教師無し深層学習による病変検出画像特徴量の汎用的生成－胸部CTを用いた実験的検証－2020
- Author(s)
  牛房和之, 根本充貴, 木村裕一, 永岡隆, 山田誉大, 田中敦子, 林直人
- Organizer
  日本医用画像工学会大会
- Data Source
  KAKENHI-PROJECT-20K11944
[Presentation] A generalized image feature generation based on unsupervised deep learning with small scale normal dataset2020
- Author(s)
  K. Ushifusa, M. Nemoto, Y. Kimura, T. Nagaoka, T. Yamada, N. Hayashi, A. Tanaka
- Organizer
  Computer Assisted Radiology and Surgery
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K11944
[Presentation] A pilot study for transferring deep convolutional neural network pre-trained by local anatomical structures to computer-aided detection.2020
- Author(s)
  M Nemoto
- Organizer
  Computer Assisted Radiology and Surgery
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K11944
[Presentation] Automatic detection of cervical and thoracic lesions on FDG-PET/CT by organ specific one-class SVMs2020
- Author(s)
  A. Tanaka, M. Nemoto, H. Kaida, Y. Kimura, T. Nagaoka, T. Yamada, K. Ushifusa, K. Hanaoka, K. Kitajima, T. Tsuchitani, K. Ishii
- Organizer
  Computer Assisted Radiology and Surgery
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K11944
[Presentation] A pilot study for transferring deep convolutional neural network pre-trained by local anatomical structures to computer-aided detection.2020
- Author(s)
  Mitsutaka Nemoto
- Organizer
  CARS 2020 Computer Assisted Radiology and Surgery
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K17680
[Presentation] 病変検出アルゴリズムにおける局所画像特徴量の汎用的な自動生成－健常データのみの学習による特徴量生成の検討－2019
- Author(s)
  牛房和之，根本充貴，木村裕一，永岡隆，山田誉大，林直人
- Organizer
  JAMIT2019 第38回日本医用画像工学会大会
- Data Source
  KAKENHI-PUBLICLY-17H05284
[Presentation] A pilot study to classify multiple anatomical landmarks in CT by deep convolutional neural network2019
- Author(s)
  M Nemoto, Y Yamato, Y Kimura, S Hanaoka, N Hayashi
- Organizer
  CARS 2019 Computer Assisted Radiology and Surgery
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K17680
[Presentation] A pilot study to classify multiple anatomical landmarks in CT by deep convolutional neural network2019
- Author(s)
  M Nemoto, Y Yamato, Y Kimura, S Hanaoka, N Hayashi
- Organizer
  CARS 2019 Computer Assisted Radiology and Surgery
- Int'l Joint Research
- Data Source
  KAKENHI-PUBLICLY-17H05284
[Presentation] Pilot study to generate image features by deep autoencoder for computer-aided detection systems.2019
- Author(s)
  M Nemoto, K Ushifusa, Y Kimura, N Hayashi
- Organizer
  International Forum on Medical Imaging (IFMIA)
- Int'l Joint Research
- Data Source
  KAKENHI-PUBLICLY-17H05284
[Presentation] 畳み込みニューラルネットワーク転移学習による解剖学的ランドマーク自動認識の初期検討2019
- Author(s)
  根本充貴，山戸祐樹，木村裕一，花岡昇平，林直人
- Organizer
  第3回人工知能応用医用画像研究会
- Data Source
  KAKENHI-PUBLICLY-17H05284
[Presentation] 深層畳み込みオートエンコーダを用いた健常データの教師なし学習による病変認識特徴量の汎用的自動生成2019
- Author(s)
  牛房和之，根本充貴，木村裕一，永岡隆，山田誉大，田中敦子，林直人
- Organizer
  第58回日本生体医工学会大会
- Data Source
  KAKENHI-PUBLICLY-17H05284
[Presentation] A pilot study to classify multiple anatomical landmarks in CT by deep convolutional neural network2019
- Author(s)
  Mitsutaka Nemoto, Yuki Yamato, Yuichi Kimura, Shouhei Hanaoka, Naoto Hayashi
- Organizer
  CARS 2019 Computer Assisted Radiology and Surgery
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K17680
[Presentation] 畳み込みニューラルネットワーク転移学習による解剖学的ランドマーク自動認識の初期検討2019
- Author(s)
  根本充貴，山戸祐樹，木村裕一，花岡昇平，林直人
- Organizer
  第3回人工知能応用医用画像研究会
- Data Source
  KAKENHI-PROJECT-17K17680
[Presentation] Convolutional neural networkを用いた解剖学的ランドマークの自動検出に関する初期検討2018
- Author(s)
  根本充貴，渡辺翔吾，木村裕一，花岡昇平，野村行弘，吉川健啓，林直人
- Organizer
  電子情報通信学会・医用画像研究会
- Data Source
  KAKENHI-PUBLICLY-17H05284
[Presentation] Autoencoderによる医用画像処理に用いる画像特徴量の自動生成2018
- Author(s)
  牛房和之，根本充貴
- Organizer
  和歌山県臨床工学技士会学術集会
- Data Source
  KAKENHI-PUBLICLY-17H05284
[Presentation] 人工知能・機械学習による画像診断支援：画像診断支援のいまを知る2018
- Author(s)
  根本充貴
- Organizer
  第40回ソニックＣＴカンファレンス
- Invited
- Data Source
  KAKENHI-PROJECT-17K17680
[Presentation] Convolutional neural networkを用いた解剖学的ランドマークの自動検出に関する初期検討2018
- Author(s)
  根本充貴，渡辺翔吾，木村裕一，花岡昇平，野村行弘，吉川健啓，林直人
- Organizer
  電子情報通信学会・医用画像研究会
- Data Source
  KAKENHI-PROJECT-17K17680
[Presentation] 工知能・機械学習による画像診断支援：画像診断支援のいまを知る2018
- Author(s)
  根本充貴
- Organizer
  第40回ソニックＣＴカンファレンス
- Invited
- Data Source
  KAKENHI-PUBLICLY-17H05284
[Presentation] 胸部CTにおけるすりガラス状結節陰影の自動検出に向けた肺野領域内画素の識別に関する初期的検討2013
- Author(s)
  根本充貴
- Organizer
  電子情報通信学会　医用画像研究会
- Place of Presentation
  沖縄県那覇市ぶんかテンブス館
- Data Source
  KAKENHI-PROJECT-23700190
[Presentation] 胸部CTにおけるすりガラス状結節陰影の自動検出に向けた肺野領域内画素の識別に関する初期的検討2013
- Author(s)
  根本充貴,増谷佳孝,他
- Organizer
  信学技報
- Place of Presentation
  沖縄
- Year and Date
  2013-01-24
- Data Source
  KAKENHI-PROJECT-23700190
[Presentation] 多様体学習を用いた医用画像のテクスチャ解析に関する基礎検討2012
- Author(s)
  根本充貴,増谷佳孝,他
- Organizer
  信学技報
- Place of Presentation
  沖縄
- Year and Date
  2012-01-19
- Data Source
  KAKENHI-PROJECT-23700190
[Presentation] 多様体学習を用いた医用画像のテクスチャ解析に関する基礎検討2012
- Author(s)
  根本充貴
- Organizer
  電子情報通信学会　医用画像研究会
- Place of Presentation
  沖縄県那覇市ぶんかテンブス館
- Data Source
  KAKENHI-PROJECT-23700190

1. Matsumoto Kazuya (20298938)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
2. 松橋珠子 (60504355)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. MATSUBARA Keisuke

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
4. 茨木正信

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
5. 永岡隆

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

Nemoto Mitsutaka 根本 充貴

NEMOTO Mitsutaka 根本 充貴

Research Projects

Research Products

Co-Researchers

AI画像診断支援システムの効果的学習に向けた人体解剖知識の活用Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Computer-aided detection development based on semi-supervised learning with medical chart informationPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Development of a biological evaluation method for fattening status in beef cattle and elucidation of the molecular mechanisms controlling meat production

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

An efficient deep learning method to detect lesions on 3D medical images via information of anatomical landmarksPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

A uniform method for automatically developing various computer-aided detection systems using image feature generationPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Development of manifold learning based texture analysis for lesions within noise included medical imagesPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Journal Article] A review on AI in PET imaging2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Automatic detection of primary and metastatic lesions on cervicothoracic region and whole-body bone using a uniform machine-learnable approach for [18F]-FDG-PET/CT image analysis2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Deep Learning for Computer-Aided Diagnosis in Brain Images2017

Author(s)

Journal Title

DOI

NAID

ISSN

Language

Data Source

[Journal Article] Feasibility Study of a Generalized Framework for Developing Computer-Aided Detection Systems?a New Paradigm2017

Author(s)

Journal Title

DOI

Data Source

[Presentation] Pix2Pix画像スタイル変換を用いた教師無し異常検知によるFDG-PET/CT像上肺病変強調2023

Author(s)

Organizer

Data Source

[Presentation] 画像診断支援システムの弱教師学習に向けたCT 像マルチウィンドウ画像解析による肺結 節教師領域ラベル自動推定2023

Author(s)

Organizer

Data Source

[Presentation] 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 Textures2022

Author(s)

Organizer

Data Source

[Presentation] Study for detecting pulmonary nodules on FDG-PET/CT images by deep image generation-based anomaly detection with training small dataset2022

Author(s)

Organizer

Data Source

Nemoto Mitsutaka 根本充貴

NEMOTO Mitsutaka 根本充貴

[Presentation] 画像診断支援システムの弱教師学習に向けたCT 像マルチウィンドウ画像解析による肺結節教師領域ラベル自動推定2023

[Presentation] 少数症例を用いた教師無し深層学習による病変検出画像特徴量の汎用的生成－胸部CTを用いた実験的検証－2020

[Presentation] 病変検出アルゴリズムにおける局所画像特徴量の汎用的な自動生成－健常データのみの学習による特徴量生成の検討－2019