HIZUKURI AKIYOSHI 檜作彰良

… Alternative Names

檜作彰良ヒズクリアキヨシ

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Researcher Number	20822844
Other IDs
Affiliation (Current)	2026: 横浜市立大学, データサイエンス学部, 准教授
Affiliation (based on the past Project Information) *help	2026: 横浜市立大学, データサイエンス学部, 准教授 2023 – 2024: 立命館大学, 理工学部, 講師 2019 – 2021: 立命館大学, 理工学部, 助教
Review Section/Research Field	Principal Investigator Basic Section 90130:Medical systems-related / Sections That Are Subject to Joint Review: Basic Section90130:Medical systems-related , Basic Section90140:Medical technology assessment-related / Basic Section 90140:Medical technology assessment-related Except Principal Investigator Basic Section 90130:Medical systems-related
Keywords	Principal Investigator Attention Mechanism / Deep learning / 損失関数 / 神経膠腫 / 分子サブタイプ分類 / Deep Metric Learning / Spatial Attention / Channel Attention / 脳MRI画像 / Low Grade Glioma … More / Attention mechanism / Multiscale CNN / 直行化 / 深層距離学習 / コンピュータ支援診断 / 人工知能 / テクスチャ解析 / Support vector machine / LASSO / 複数シーケンス画像 / トリプルネガティブ乳がん / Cox比例ハザードモデル / Lasso / 複数シーケンス / レディオミクス / 乳がん / 乳房MRI画像 / ディープラーニング / Radiomics … More Except Principal Investigator 深層学習 / コンピュータ診断支援 / CT / 深層生成モデル / 画像再構成 / 異常検知 Less

数理モデルを導入した機械学習による脳腫瘍成長予測基盤の構築と予後予測応用Principal Investigator
- Principal Investigator
  
  檜作彰良
- Project Period (FY)
  2026 – 2029
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 90130:Medical systems-related
  Basic Section 90140:Medical technology assessment-related
  Sections That Are Subject to Joint Review: Basic Section90130:Medical systems-related , Basic Section90140:Medical technology assessment-related
- Research Institution
  Yokohama City University
深層生成モデルによる異常検知を基盤としたコンピュータ支援診断システムの構築
- Principal Investigator
  
  中山良平
- Project Period (FY)
  2024 – 2026
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 90130:Medical systems-related
- Research Institution
  Ritsumeikan University
Computerized classification method for molecular subtypes of gliomas in brain MRI images using deep learning with a limited number of training dataPrincipal Investigator
- Principal Investigator
  
  檜作彰良
- Project Period (FY)
  2023 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 90130:Medical systems-related
- Research Institution
  Ritsumeikan University
Prognostic Prediction of Breast Cancer Using Artificial Intelligence with Radiomics FeaturesPrincipal Investigator
- Principal Investigator
  
  HIZUKURI AKIYOSHI
- Project Period (FY)
  2019 – 2021
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 90130:Medical systems-related
- Research Institution
  Ritsumeikan University

All 2025 2024 2022 2021 2020

All Journal Article Presentation

[Journal Article] Unsupervised Video Anomaly Detection Using Video Vision Transformer and Adversarial Training2025
- Author(s)
  Kobayashi Shimpei、Hizukuri Akiyoshi、Nakayama Ryohei
- Journal Title
  
  IEEE Access
  
  Volume: 13 Pages: 56169-56179
- DOI
  10.1109/access.2025.3554813
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24K15776
[Journal Article] Computerized Segmentation Method for Nonmasses on Breast DCE-MRI Images Using ResUNet++?with Slice Sequence Learning and Cross-Phase Convolution2024
- Author(s)
  Hizukuri Akiyoshi、Nakayama Ryohei、Goto Mariko、Sakai Koji
- Journal Title
  
  Journal of Imaging Informatics in Medicine
  
  Volume: 37 Issue: 4 Pages: 1567-1578
- DOI
  10.1007/s10278-024-01053-6
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K08033, KAKENHI-PROJECT-24K15776
[Journal Article] Computerized Classification Method for Molecular Subtypes of Low-Grade Gliomas on Brain MR Images Using Modified ArcFace With Gram-Schmidt Orthogonalization2024
- Author(s)
  Hizukuri Akiyoshi、Tanaka Daiki、Nakayama Ryohei、Kusuda Kaori、Masamune Ken、Muragaki Yoshihiro
- Journal Title
  
  IEEE Access
  
  Volume: 12 Pages: 194540-194550
- DOI
  10.1109/access.2024.3520165
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K11909, KAKENHI-PROJECT-24K15776
[Journal Article] Anomaly detection scheme for lung CT images using vector quantized variational auto-encoder with support vector data description2024
- Author(s)
  Gao Zhihui、Nakayama Ryohei、Hizukuri Akiyoshi、Kido Shoji
- Journal Title
  
  Radiological Physics and Technology
  
  Volume: 18 Issue: 1 Pages: 17-26
- DOI
  10.1007/s12194-024-00851-5
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24K15776
[Journal Article] Computerized classification method for significant coronary artery stenosis on whole-heart coronary MRA using 3D convolutional neural networks with attention mechanisms2024
- Author(s)
  Shiomi Takuma、Nakayama Ryohei、Hizukuri Akiyoshi、Takafuji Masafumi、Ishida Masaki、Sakuma Hajime
- Journal Title
  
  Radiological Physics and Technology
  
  Volume: 18 Issue: 1 Pages: 219-226
- DOI
  10.1007/s12194-024-00875-x
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24K15776
[Journal Article] Attention Mechanismを導入したMulti-scale 3D-CNNsによる脳MRI画像の低悪性度グリオーマの1p/19q共欠損分類2022
- Author(s)
  田中大貴, 檜作彰良, 中山良平
- Journal Title
  
  電気学会論文誌Ｃ
  
  Volume: 142 Pages: 550-556
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K20719
[Journal Article] Computerized Classification Method for 1p/19q Codeletion in Low Grade Gliomas from Brain MRI Images Using Three Dimensional Radiomics Features2022
- Author(s)
  Daiki Tanaka, Akiyoshi Hizukuri, Ryohei Nakayama
- Journal Title
  
  The Journal of the Institute of Image Electronics Engineers of Japan
  
  Volume: -
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K20719
[Journal Article] Construction of virtual normal dose CT images from ultra-low dose CT images using dilated residual networks2020
- Author(s)
  Hizukuri Akiyoshi、Nakayama Ryohei、Ichikawa Yasutaka、Nagata Motonori、Ishida Masaki、Kitagawa Kakuya、Sakuma Hajime
- Journal Title
  
  Proc. of SPIE Medical Imaging
  
  Volume: 11312 Pages: 151-151
- DOI
  10.1117/12.2551147
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K20719
[Journal Article] Computerized Determination Scheme for Histological Classification of Masses on Breast Ultrasonographic Images Using Combination of CNN Features and Morphologic Features2020
- Author(s)
  Shinya Kunieda, Akiyoshi Hizukuri, Ryohei Nakayama
- Journal Title
  
  Proc. of SPIE Fifteenth International Workshop on Breast Imaging
  
  Volume: 11513 Pages: 49-49
- DOI
  10.1117/12.2564060
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20719
[Journal Article] Computerized classification scheme for distinguishing between benign and malignant masses by analyzing multiple MRI sequences with convolutional neural network2020
- Author(s)
  Yuichi Mima, Akiyoshi Hizukuri, Ryohei Nakayama
- Journal Title
  
  Proc. of SPIE Fifteenth International Workshop on Breast Imaging
  
  Volume: 11513 Pages: 50-50
- DOI
  10.1117/12.2564061
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20719
[Presentation] Anomaly Detection for Lung CT Images Using Masked Autoencoder with Vision Transformer2025
- Author(s)
  Takashi Nishikawa, Ryohei Nakayama, Akiyoshi Hizukuri, Shoji Kido
- Organizer
  International Forum on Medical Imaging in Asia
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24K15776
[Presentation] Anomaly Detection for PET Images Using PatchCore with Normalizing Flow and Learnable Positional Encoding2025
- Author(s)
  Ryota Kuratomo, Ryohei Nakayama, Akiyoshi Hizukuri, Shoji Kido
- Organizer
  International Forum on Medical Imaging in Asia
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24K15776
[Presentation] Anomaly Detection for PET Images Using Self-Attention PatchCore with Normalizing Flow2025
- Author(s)
  Ryota Kuratomo, Ryohei Nakayama, Akiyoshi Hizukuri, Shoji Kido
- Organizer
  International Workshop on Nonlinear Circuits, Communications and Signal Processing
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24K15776
[Presentation] Anomaly Detection for ECG Using LSTM Autoencoder with Attention Mechanisms2025
- Author(s)
  Mizuki Makita, Ryohei Nakayama, Akiyoshi Hizukuri
- Organizer
  International Forum on Medical Imaging in Asia
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24K15776
[Presentation] ChannelとSpatial Attention Mechanismを用いたMulti-scale 3D CNNによる脳MRI画像における低悪性度グリオーマの分子サブタイプ分類法2024
- Author(s)
  小林慎平，檜作彰良，中山良平，楠田佳緒，正宗賢，村垣善浩
- Organizer
  電子情報通信学会技術報告
- Data Source
  KAKENHI-PROJECT-23K11909
[Presentation] Self-Attention PatchCoreによるPET検診画像の異常検知2024
- Author(s)
  倉友遼太，中山良平，檜作彰良，木戸尚治
- Organizer
  第80回日本放射線技術学会総会学術大会
- Data Source
  KAKENHI-PROJECT-24K15776
[Presentation] Radiomics特徴量を用いた乳房MRI画像におけるトリプルネガティブ乳がんの推定法2021
- Author(s)
  田中大貴，檜作彰良，中山良平
- Organizer
  乳癌画像研究会
- Data Source
  KAKENHI-PROJECT-19K20719
[Presentation] 畳み込みニューラルネットワークを用いた複数シーケンスMRI画像における腫瘤病変の良悪性分類法2020
- Author(s)
  美馬悠一, 檜作彰良, 中山良平
- Organizer
  電子情報通信学会医用画像研究会
- Data Source
  KAKENHI-PROJECT-19K20719

1. 中山良平 (20402688)

# of Collaborated Projects: 2 results

# of Collaborated Products: 11 results
2. 正宗賢 (00280933)

# of Collaborated Projects: 1 results

# of Collaborated Products: 2 results
3. 楠田佳緒 (00780131)

# of Collaborated Projects: 1 results

# of Collaborated Products: 2 results
4. 木戸尚治 (90314814)

# of Collaborated Projects: 1 results

# of Collaborated Products: 5 results
5. 後藤眞理子

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

HIZUKURI AKIYOSHI 檜作 彰良

檜作 彰良 ヒズクリ アキヨシ

Research Projects

Research Products

Co-Researchers

数理モデルを導入した機械学習による脳腫瘍成長予測基盤の構築と予後予測応用Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

深層生成モデルによる異常検知を基盤としたコンピュータ支援診断システムの構築

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Computerized classification method for molecular subtypes of gliomas in brain MRI images using deep learning with a limited number of training dataPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Prognostic Prediction of Breast Cancer Using Artificial Intelligence with Radiomics FeaturesPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Unsupervised Video Anomaly Detection Using Video Vision Transformer and Adversarial Training2025

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Computerized Segmentation Method for Nonmasses on Breast DCE-MRI Images Using ResUNet++?with Slice Sequence Learning and Cross-Phase Convolution2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Computerized Classification Method for Molecular Subtypes of Low-Grade Gliomas on Brain MR Images Using Modified ArcFace With Gram-Schmidt Orthogonalization2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Anomaly detection scheme for lung CT images using vector quantized variational auto-encoder with support vector data description2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Computerized classification method for significant coronary artery stenosis on whole-heart coronary MRA using 3D convolutional neural networks with attention mechanisms2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Attention Mechanismを導入したMulti-scale 3D-CNNsによる脳MRI画像の低悪性度グリオーマの1p/19q共欠損分類2022

Author(s)

Journal Title

Data Source

[Journal Article] Computerized Classification Method for 1p/19q Codeletion in Low Grade Gliomas from Brain MRI Images Using Three Dimensional Radiomics Features2022

Author(s)

Journal Title

Data Source

[Journal Article] Construction of virtual normal dose CT images from ultra-low dose CT images using dilated residual networks2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Computerized Determination Scheme for Histological Classification of Masses on Breast Ultrasonographic Images Using Combination of CNN Features and Morphologic Features2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Computerized classification scheme for distinguishing between benign and malignant masses by analyzing multiple MRI sequences with convolutional neural network2020

Author(s)

Journal Title

DOI

Data Source

[Presentation] Anomaly Detection for Lung CT Images Using Masked Autoencoder with Vision Transformer2025

Author(s)

Organizer

HIZUKURI AKIYOSHI 檜作彰良

檜作彰良ヒズクリアキヨシ