Suzuki Yuki 鈴木裕紀

… Alternative Names

鈴木裕紀スズキユウキ

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Researcher Number	20845599
Other IDs
Affiliation (Current)	2025: 大阪大学, 大学院医学系研究科, 特任助教(常勤)
Affiliation (based on the past Project Information) *help	2025: 大阪大学, 大学院医学系研究科, 特任助教(常勤) 2022 – 2023: 大阪大学, 大学院医学系研究科, 特任助教(常勤) 2020 – 2021: 大阪大学, 医学系研究科, 特任助教(常勤)
Review Section/Research Field	Except Principal Investigator Basic Section 52040:Radiological sciences-related / Basic Section 56020:Orthopedics-related / Basic Section 90130:Medical systems-related
Keywords	Except Principal Investigator 人工知能 / MRI / 深層学習 / AI / 進行予測 / 自動計測 / ニューラルネットワーク / 特発性側彎症 / 自動化 / 側弯症 … More / 病理学的完全奏功 / 術前化学療法 / 乳癌 / pCR / Neoadjuvant chemotherapy / Radiogenomics / Breast cancer / 診断能 / 肺癌 / Vision transformer / 遺伝子 / 病理学的浸潤成分 / LIME / Vision Transformer / PD-L1 / 肺腺癌 / 超高精細CT / 説明可能なAI / コンピュータ支援診断 / VAE / 自然言語処理 / 異常検知 / 画像診断 / シヌクレノパチー / deep learning / parkinson disease / DAT SPECT Less

アルツハイマー病のATN分類に対応する包括的なイメージングバイオマーカーの確立
- Principal Investigator
  
  高橋洋人
- Project Period (FY)
  2025 – 2027
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  The University of Osaka
Construction of Radiogenomics Prediction Model for Pathological Complete Response after Preoperative Chemotherapy for Breast Cancer
- Principal Investigator
  
  徳田由紀子
- Project Period (FY)
  2022 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  Osaka University
人工知能による深層学習を利用した特発性側弯症の進行予測
- Principal Investigator
  
  藤森孝人
- Project Period (FY)
  2022 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 56020:Orthopedics-related
- Research Institution
  Osaka University
Development of a general-purpose computer-aided diagnosis system using VAE that can be used for a small number of cases
- Principal Investigator
  
  KIDO SHOJI
- Project Period (FY)
  2021 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 90130:Medical systems-related
- Research Institution
  Osaka University
Establishment of a New Lung Cancer Image Analysis Method for Ultra-High Resolution CT: Search for Image Factors Contributing to Diagnostic Performance and AI Analysis
- Principal Investigator
  
  Yanagawa Masahiro
- Project Period (FY)
  2021 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  Osaka University
人工知能を活用したドパミン機能画像によるシヌクレノパチー早期診断システムの確立
- Principal Investigator
  
  高橋洋人
- Project Period (FY)
  2020 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  Osaka University

All 2024 2023 2022 2021

All Journal Article Presentation

[Journal Article] 高精細CTが肺癌画像診断に与える影響：形態および定量評価2024
- Author(s)
  梁川雅弘，秦明典，鈴木裕紀，木戸尚治，富山憲幸
- Journal Title
  
  臨床放射線
  
  Volume: 69 Pages: 11-18
- Data Source
  KAKENHI-PROJECT-21H03840
[Journal Article] Prediction of solid and micropapillary components in lung invasive adenocarcinoma:?radiomics analysis from high-spatial-resolution CT data with 1024 matrix2024
- Author(s)
  Ninomiya Keisuke、Yanagawa Masahiro、Tsubamoto Mitsuko、Sato Yukihisa、Suzuki Yuki、Hata Akinori、Kikuchi Noriko、Yoshida Yuriko、Yamagata Kazuki、Doi Shuhei、Ogawa Ryo、Tokuda Yukiko、Kido Shoji、Tomiyama Noriyuki
- Journal Title
  
  Japanese Journal of Radiology
  
  Volume: Online ahead of print Issue: 6 Pages: 1-9
- DOI
  10.1007/s11604-024-01534-2
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K07672, KAKENHI-PROJECT-21H03840
[Journal Article] Automated entry of paper-based patient-reported outcomes: Applying deep learning to the Japanese orthopaedic association back pain evaluation questionnaire2024
- Author(s)
  Kita K, Fujimori T, Suzuki Y, Kaito T, Takenaka S, Kanie Y, Furuya M, Wataya T, Nishigaki D, Sato J, Noriyuki T, Okada S, Kido S
- Journal Title
  
  Computers in Biology and Medicine
  
  Volume: 172 Pages: 101897-101897
- DOI
  10.1016/j.compbiomed.2024.108197
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21H03840
[Journal Article] Hybrid Multiple-Organ Segmentation Method Using Multiple U-Nets in PET/CT Images2023
- Author(s)
  Suganuma Y, Teramoto A, Saito K, Fujita H, Suzuki Y, Tomiyama N, Kido S
- Journal Title
  
  Applied Sciences
  
  Volume: 13 Issue: 19 Pages: 10765-10765
- DOI
  10.3390/app131910765
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21H03840
[Journal Article] Bimodal artificial intelligence using TabNet for differentiating spinal cord tumors;integration of patient background information and images2023
- Author(s)
  Kita K, Fujimori T, Suzuki Y, Kanie Y, Takenaka S, Kaito T, Taki T, Ukon Y, Furuya M, Saiwai H, Nakajima N, Sugiura T, Ishiguro H, Kamatani T, Tsukazaki H, Sakai Y, Takami H, Tateiwa D, Hashimoto K, Wataya T, Nishigaki D, Sato J, Hoshiyama M, Tomiyama N, Okada S, Kido S
- Journal Title
  
  iScience
  
  Volume: 26 Issue: 10 Pages: 107900-107900
- DOI
  10.1016/j.isci.2023.107900
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21H03840
[Journal Article] Development of artificial intelligence for automated measurement of cervical lordosis on lateral radiographs2022
- Author(s)
  Fujimori T, Suzuki Y, Takenaka S, Kita K, Kanie Y, Kaito T, Ukon Y, Watabe T, Nakajima N, Kido S, Okada S
- Journal Title
  
  Scientific Reports
  
  Volume: 12 Issue: 1 Pages: 15732-15732
- DOI
  10.1038/s41598-022-19914-x
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21H03840
[Journal Article] Segmentation of Diffuse Lung Abnormality Patterns on Computed Tomography Images using Partially Supervised Learning2022
- Author(s)
  Yuki Suzuki, Shoji Kido, Shingo Mabu, Masahiro Yanagawa, Noriyuki Tomiyama, Yoshinobu Sato
- Journal Title
  
  Advanced Biomedical Engineering
  
  Volume: 11 Issue: 0 Pages: 25-36
- DOI
  10.14326/abe.11.25
- NAID
  130008154494
- ISSN
  2187-5219
- Language
  English
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K12120, KAKENHI-PROJECT-21H03840
[Journal Article] Use of artificial intelligence to identify data elements for The Japanese Orthopaedic Association National Registry from operative records2022
- Author(s)
  Kita K, Uemura K, Takao M, Fujimori T, Tamura K, Nakamura N, Wakabayashi G, Kurakami H, Suzuki Y, Wataya T, Nishigaki D, Okada S, Tomiyama N, Kido S
- Journal Title
  
  Journal of Orthopaedic Science
  
  Volume: 28 Issue: 6 Pages: 1-1
- DOI
  10.1016/j.jos.2022.09.003
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21H03840
[Journal Article] 人工知能による肺結節の診断2022
- Author(s)
  梁川雅弘，鈴木裕紀，木戸尚治，富山憲幸
- Journal Title
  
  画像診断
  
  Volume: 42 Pages: 549-558
- Data Source
  KAKENHI-PROJECT-21H03840
[Journal Article] 人工知能による肺結節の診断2022
- Author(s)
  梁川雅弘、鈴木裕紀、木戸尚治、富山憲幸
- Journal Title
  
  画像診断
  
  Volume: 42
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21K07672
[Journal Article] Segmentation of Lung Nodules on CT Images Using a Nested Three-Dimensional Fully Connected Convolutional Network2022
- Author(s)
  Shoji Kido, Shunske Kidera, Yasushi Hirano, Shingo Mabu, Tohru Kamiya, Nobuyuki Tanaka, Yuki Suzuki, Masahiro Yanagawa, Noriyuki Tomiyama
- Journal Title
  
  Frontiers in Artificial Intelligence
  
  Volume: 5 Pages: 782225-782225
- DOI
  10.3389/frai.2022.782225
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K12120, KAKENHI-PROJECT-21H03840
[Journal Article] Radiologists with and without deep learning-based computer-aided diagnosis: comparison of performance and interobserver agreement for characterizing and diagnosing pulmonary nodules/masses2022
- Author(s)
  Wataya T, Yanagawa M, Tsubamoto M, Sato T, Nishigaki D, Kita K, Yamagata K, Suzuki Y, Hata A, Kido S, Tomiyama N
- Journal Title
  
  European Radiology
  
  Volume: 33 Issue: 1 Pages: 348-359
- DOI
  10.1007/s00330-022-08948-4
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21H03840
[Journal Article] Comparative Study of Vessel Detection Methods for Contrast Enhanced Computed Tomography: Effects of Convolutional Neural Network Architecture and Patch Size2021
- Author(s)
  Suzuki Y, Hori M, Kido S, Otake Y, Ono M, Tomiyama T, Sato Y
- Journal Title
  
  Advanced Biomedical Engineering
  
  Volume: 10 Issue: 0 Pages: 138-149
- DOI
  10.14326/abe.10.138
- NAID
  130008122788
- ISSN
  2187-5219
- Language
  English
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21H03840
[Presentation] 架空画像で訓練した2D U-Netによる，定量化磁化率マッピング3D画像の生成2023
- Author(s)
  綿谷朋大，平岡悠，佐藤淳哉，喜多洸介，富山実幸，鈴木裕紀，高橋洋人，鈴木裕紀，木戸尚治，富山憲幸
- Organizer
  第2回日本医用画像電子情報・人工知能研究会
- Data Source
  KAKENHI-PROJECT-21H03840
[Presentation] BERT-based Transfer Learning in Sentence-level Anatomical Classification of Free-text Radiology Reports2023
- Author(s)
  Nishigaki D, Suzuki Y, Wataya T, Kita K, Yamagata K, Sato J, Kido S, Tomiyama N.
- Organizer
  Society of Photo-Optical Instrumentation Engineers Medical Imaging 2023, San Diego
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H03840
[Presentation] 頭部CT所見重要度分類における能動学習アルゴリズムの比較2023
- Author(s)
  綿谷朋大，佐藤淳哉，喜多洸介，富山実幸，鈴木裕紀，木戸尚治，富山憲幸
- Organizer
  第42回日本医用画像工学会大会
- Data Source
  KAKENHI-PROJECT-21H03840
[Presentation] Bimodal Artificial Intelligence Differentiating Spinal Tumors based on Integrated Magnetic Resonance Imaging and Patient Information2023
- Author(s)
  Kita K, Takahito F, Suzuki Y, Okada S, Kido S
- Organizer
  Spineweek2023
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H03840
[Presentation] Bi-Modal Network Combining Convolutional Neural Network and TabNet, Differentiating Spinal Tumors based on Images and Clinical Risk Factors2023
- Author(s)
  Kita K, Takahito T, Suzuki Y, Okada S, Kido S
- Organizer
  Society of Photo-Optical Instrumentation Engineers Medical Imaging 2023, San Diego
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H03840
[Presentation] 正常胸部単純X線写真のみを用いた胸部異常病変検出手法の開発2023
- Author(s)
  佐藤淳哉, 鈴木裕紀, 秦明典, 梁川雅弘, 富山憲幸, 木戸尚治
- Organizer
  第14回呼吸機能イメージング研究学術集会
- Data Source
  KAKENHI-PROJECT-21H03840
[Presentation] fine-tuningを用いたCT画像の甲状腺セグメンテーション2022
- Author(s)
  26.山形和樹，喜多洸介，西垣大毅，小田惣也，綿谷朋大，鈴木裕紀，梁川雅弘，木戸尚治，富山憲幸
- Organizer
  第41回日本画像医学会
- Data Source
  KAKENHI-PROJECT-21H03840
[Presentation] JOANRを自動化するシステムの開発　―手術記録から情報を抽出するAI―2022
- Author(s)
  喜多洸介, 上村圭亮, 高尾正樹, 田村和則, 中村宜雄, 若林元, 鈴木裕紀, 濱田英敏, 菅野伸彦, 岡田誠司, 木戸尚治
- Organizer
  第139回中部日本整形外科災害外科学会・学術集会
- Data Source
  KAKENHI-PROJECT-21H03840
[Presentation] 自然言語処理入門-AIから見た人間の「言葉」2022
- Author(s)
  綿谷朋大，佐藤淳哉，富山実幸，西垣大毅，小田惣也，喜多洸介，山形和樹，鈴木裕紀，木戸尚治，富山憲幸
- Organizer
  第58回日本医学放射線学会秋季臨床大会
- Data Source
  KAKENHI-PROJECT-21H03840
[Presentation] 頭部単純CT所見文の重要度分類タスクにおける能動学習の有用性2022
- Author(s)
  綿谷朋大，三浦あづさ，﨑須賀敬央，藤原政宏，佐藤淳哉，富山実幸，西垣大毅，小田惣也，喜多洸介，山形和樹，鈴木裕紀，田中壽，木戸尚治，富山憲幸
- Organizer
  第1回日本医用画像電子情報・人工知能研究会
- Data Source
  KAKENHI-PROJECT-21H03840
[Presentation] JOANRを自動化するシステムの開発　―手術記録から情報を抽出するAI―2022
- Author(s)
  喜多洸介, 上村圭亮, 高尾正樹, 田村和則, 中村宜雄, 若林元, 鈴木裕紀, 濱田英敏, 菅野伸彦, 岡田誠司, 木戸尚治
- Organizer
  第37回日本整形外科学会基礎学術集会
- Data Source
  KAKENHI-PROJECT-21H03840
[Presentation] Graphical user interface (GUI)環境を用いたディープラーニングの直感的理解2021
- Author(s)
  綿谷朋大, 木戸尚治, 鈴木裕紀, 山形和樹, 宮田知, 藤原政宏, 本田亨, 西垣大毅
- Organizer
  JRC2021
- Data Source
  KAKENHI-PROJECT-21H03840
[Presentation] UTH-BERTを用いた頭部CT所見文の重要度分類2021
- Author(s)
  綿谷朋大，西垣大毅，鈴木裕紀，山形和樹，喜多洸介，木戸尚治，富山憲幸
- Organizer
  第34回電子情報研究会・第4回日本医用画像人工知能研究会合同学術集会
- Data Source
  KAKENHI-PROJECT-21H03840

1. KIDO SHOJI (90314814)

# of Collaborated Projects: 3 results

# of Collaborated Products: 23 results
2. Yanagawa Masahiro (00546872)

# of Collaborated Projects: 3 results

# of Collaborated Products: 7 results
3. 富山憲幸 (50294070)

# of Collaborated Projects: 3 results

# of Collaborated Products: 17 results
4. 高橋洋人 (20617352)

# of Collaborated Projects: 2 results

# of Collaborated Products: 0 results
5. 間普真吾 (70434321)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
6. 神谷亨 (80295005)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
7. 平野靖 (90324459)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
8. 森井英一 (10283772)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
9. 徳田由紀子 (50522744)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
10. 直居靖人 (30646211)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
11. 藤森孝人 (80546888)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
12. 武中章太 (40795861)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
13. 海渡貴司 (70623982)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
14. 平野綱彦

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

Suzuki Yuki 鈴木 裕紀

鈴木 裕紀 スズキ ユウキ

Research Projects

Research Products

Co-Researchers

アルツハイマー病のATN分類に対応する包括的なイメージングバイオマーカーの確立

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Construction of Radiogenomics Prediction Model for Pathological Complete Response after Preoperative Chemotherapy for Breast Cancer

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

人工知能による深層学習を利用した特発性側弯症の進行予測

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Development of a general-purpose computer-aided diagnosis system using VAE that can be used for a small number of cases

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Establishment of a New Lung Cancer Image Analysis Method for Ultra-High Resolution CT: Search for Image Factors Contributing to Diagnostic Performance and AI Analysis

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

人工知能を活用したドパミン機能画像によるシヌクレノパチー早期診断システムの確立

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] 高精細CTが肺癌画像診断に与える影響：形態および定量評価2024

Author(s)

Journal Title

Data Source

[Journal Article] Prediction of solid and micropapillary components in lung invasive adenocarcinoma:?radiomics analysis from high-spatial-resolution CT data with 1024 matrix2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Automated entry of paper-based patient-reported outcomes: Applying deep learning to the Japanese orthopaedic association back pain evaluation questionnaire2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Hybrid Multiple-Organ Segmentation Method Using Multiple U-Nets in PET/CT Images2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Bimodal artificial intelligence using TabNet for differentiating spinal cord tumors;integration of patient background information and images2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Development of artificial intelligence for automated measurement of cervical lordosis on lateral radiographs2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Segmentation of Diffuse Lung Abnormality Patterns on Computed Tomography Images using Partially Supervised Learning2022

Author(s)

Journal Title

DOI

NAID

ISSN

Language

Data Source

[Journal Article] Use of artificial intelligence to identify data elements for The Japanese Orthopaedic Association National Registry from operative records2022

Author(s)

Suzuki Yuki 鈴木裕紀

鈴木裕紀スズキユウキ

[Presentation] JOANRを自動化するシステムの開発　―手術記録から情報を抽出するAI―2022

[Presentation] JOANRを自動化するシステムの開発　―手術記録から情報を抽出するAI―2022