Updated on 2024/04/16

写真a

 
SUNAYAMA Wataru
 
Organization
Faculty of Advanced Engineering
Department
School of Engineering Department of Electronic Systems Engineering
Title
Professor

Degree

  • 博士（工学） ( 2000.7   大阪大学 )

Research Field

  • データサイエンス

Research Experience

  • The University of Shiga Prefecture   School of Engineering Department of Electronic Systems Engineering   Professor

    2016.4

Association Memberships

  • 人工知能学会

    1996.4

Research Areas

  • Informatics / Intelligent informatics

Available Technology

  • データ分析支援環境の構築による知識創発支援

Papers

  • 受け手の精神負荷の推定値を用いた悪口投稿の発信抑制に効果的なアシスタントメッセージの検証 Reviewed

    砂山渡・伊藤誠基・服部峻

    日本知能情報ファジィ学会誌   36 ( 2 )   9 - 9   2024

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    Language：Japanese   Publishing type：Research paper (scientific journal)   Participation form：Joint(The vice charge)  

  • Quantitative Analysis of Retinal Vascular Leakage in Retinal Vasculitis Using Machine Learning Reviewed

    Keino H., Wakitani T., Sunayama W., Hatanaka Y.

    Applied Sciences (Switzerland)   12 ( 24 )   2022.12

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    Language：English   Publishing type：Research paper (scientific journal)   Publisher：Applied Sciences (Switzerland)  

    Retinal vascular leakage is known to be an important biomarker to monitor the disease activity of uveitis. Although fluorescein angiography (FA) is a gold standard for the diagnosis and assessment of the disease activity of uveitis, the evaluation of FA findings, especially retinal vascular leakage, remains subjective and descriptive. In the current study, we developed an automatic segmentation model using a deep learning system, U-Net, and subtraction of the retinal vessel area between early-phase and late-phase FA images for the detection of the retinal vascular leakage area in ultrawide field (UWF) FA images in three patients with Behçet’s Disease and three patients with idiopathic uveitis with retinal vasculitis. This study demonstrated that the automated model for segmentation of the retinal vascular leakage area through the UWF FA images reached 0.434 (precision), 0.529 (recall), and 0.467 (Dice coefficient) without using UWF FA images for training. There was a significant positive correlation between the automated segmented area (pixels) of retinal vascular leakage and the FA vascular leakage score. The mean pixels of automatic segmented vascular leakage in UWF FA images with treatment was significantly reduced compared with before treatment. The automated segmentation of retinal vascular leakage in UWF FA images may be useful for objective and quantitative assessment of disease activity in posterior segment uveitis. Further studies at a larger scale are warranted to improve the performance of this automatic segmentation model to detect retinal vascular leakage.

    DOI： 10.3390/app122412751

    Scopus

    Other Link： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85144893296&origin=inward

  • Automated Quantitative Analysis of Anterior Segment Inflammation Using Swept-Source Anterior Segment Optical Coherence Tomography: A Pilot Study Reviewed

    Keino H., Aman T., Furuya R., Nakayama M., Okada A.A., Sunayama W., Hatanaka Y.

    Diagnostics   12 ( 11 )   2022.11

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    Language：English   Publishing type：Research paper (scientific journal)   Publisher：Diagnostics  

    Background: The aim of this study is to develop an automated evaluation of anterior chamber (AC) cells in uveitis using anterior segment (AS) optical coherence tomography (OCT) images. Methods: We analyzed AS swept-source (SS)-OCT (CASIA 2) images of 31 patients (51 eyes) with uveitis using image analysis software (Python). An automated algorithm was developed to detect cellular spots corresponding to hyper-reflective spots in the AC, and the correlation with Standardization of Uveitis Nomenclature (SUN) grading AC cells score was evaluated. The approximated AC grading value was calculated based on the logarithmic approximation curve between the number of cellular spots and the SUN grading score. Results: Among 51 eyes, cellular spots were automatically segmented in 48 eyes, whereas three eyes (all SUN grading AC cells score: 4+) with severe fibrin formation in the AC were removed by the automated algorithm. The AC cellular spots increased with an increasing SUN grading score (p < 0.001). The 48 eyes were split into training data (26 eyes) and test data (22 eyes). There was a significant correlation between the SUN grading score and the number of cellular spots in 26 eyes (rho: 0.843, p < 0.001). There was a significant correlation between the SUN grading score and the approximated grading value of 22 eyes based on the logarithmic approximation curve (rho: 0.774, p < 0.001). Leave-one-out cross-validation analysis demonstrated a significant correlation between the SUN grading score and the approximated grading value of 48 eyes (rho: 0.748, p < 0.001). Conclusions: This automated anterior AC cell analysis using AS SS-OCT showed a significant correlation with clinical SUN grading scores and provided SUN AC grading values as a continuous variable. Our findings suggest that automated grading of AC cells could improve the accuracy of a quantitative assessment of AC inflammation using AS-OCT images and allow the objective and rapid evaluation of anterior segment inflammation in uveitis. Further investigations on a large scale are required to validate this quantitative measurement of anterior segment inflammation in uveitic eyes.

    DOI： 10.3390/diagnostics12112703

    Scopus

    Other Link： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85141782021&origin=inward

  • Interpretation Support by Extracting Time Series Classification Patterns using HMM from Text-based Deep Learning Reviewed International journal

    Masayuki Ando, Yoshinobu Kawahara, Wataru Sunayama, and Yuji Hatanaka

    International Journal on Advances in Intelligent Systems   15 ( 1&2 )   24 - 34   2022.6

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  • 深層学習ネットワークへのHMM適用によるテキストベースの分類パターン解釈支援 Reviewed

    安藤雅行・河原吉伸・砂山渡・畑中裕司

    日本知能情報ファジィ学会誌   34 ( 1 )   501 - 510   2022

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  • A Generation Method for the Discussion Process Model during Research Progress Using Transitions of Dialog Acts Reviewed International journal

    Yoko Nishihara, Seiya Tsuji, Wataru Sunayama, Ryosuke Yamanishi, and Shiho Imashiro

    International Journal on Advances in Systems and Measurements   14 ( 1&2 )   17 - 26   2021

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  • TETDMを用いたテキストマイニング初心者のツール選択と操作を助ける操作履歴の提示 Reviewed

    砂山渡・中江剛士・西原陽子・畑中裕司

    日本知能情報ファジィ学会誌   32 ( 5 )   841 - 850   2020

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  • テキストベースの深層学習における分類パターンの解釈支援 Reviewed

    安藤雅行・河原吉伸・砂山渡・畑中裕司

    日本知能情報ファジィ学会誌   31 ( 4 )   779 - 787   2019

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  • Automated blood vessel extraction based on high-order local autocorrelation features on retinal images Reviewed

    Hatanaka Y., Samo K., Ogohara K., Sunayama W., Muramatsu C., Okumura S., Fujita H.

    Lecture Notes in Computational Vision and Biomechanics   27   803 - 810   2018.1

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    Language：English   Publishing type：Research paper (scientific journal)   Publisher：Lecture Notes in Computational Vision and Biomechanics  

    © 2018, Springer International Publishing AG. Automated blood vessels detection on retinal images is an important process in the development of pathologies analysis systems. This paper describes about an automated blood vessel extraction using high-order local autocorrelation (HLAC) on retinal images. Although HLAC features are shift-invariant, HLAC features are weak to turned image. Therefore, a method was improved by the addition of HLAC features to a polar transformed image. We have proposed a method using HLAC, pixel-based-features and three filters. However, we have not investigated about feature selection and machine learning method. Therefore, this paper discusses about effective features and machine learning method. We tested eight methods by extension of HLAC features, addition of 4 kinds of pixel-based features, difference of preprocessing techniques, and 3 kinds of machine learning methods. Machine learning methods are general artificial neural network (ANN), a network using two ANNs, and Boosting algorithm. As a result, our already proposed method was the best. When the method was tested by using “Digital Retinal Images for Vessel Extraction” (DRIVE) database, the area under the curve (AUC) based on receiver operating characteristics (ROC) analysis was reached to 0.960.

    DOI： 10.1007/978-3-319-68195-5_87

    Scopus

    Other Link： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85032350688&origin=inward

  • 高電圧系インタフェース地絡要因の特徴抽出による多段階判定法 Reviewed

    西村和則・丸井雄策・砂山渡

    電気学会論文誌D   138 ( 3 )   206 - 211   2018

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  • 類推による説明スキルの獲得支援システム Reviewed

    砂山渡，石田純太，川本佳代，西原陽子

    情報処理学会論文誌   59 ( 10 )   1922 - 1931   2018

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  • Data Mining Framework for Treating both Numerical and Text Data Reviewed International journal

    Wataru Sunayama, Tomoya Matsumoto, Yuji Hatanaka, and Kazunori Ogohara

    International Journal of Service and Knowledge Management   2 ( 1 )   1 - 18   2018

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  • 畳み込みニューラルネットワークを用いた眼底画像における毛細血管瘤の自動検出 Reviewed

    宮下充浩・畑中裕司・小郷原一智・村松千左子・砂山 渡・藤田広志

    Medical Imaging Technology   36 ( 4 )   189 - 195   2018

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  • Topic Recommendation Method related to a Present Topic for Continuing a Conversation Reviewed

    Wataru Sunayama, Yuki Shibata, and Yoko Nishihara

    Information Engineering Express   3 ( 1 )   19 - 28   2017

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  • ストーリー提供機能とライフ機能を用いた学習意欲の向上と維持の枠組み Reviewed

    砂山渡・髙橋麻祐・川本佳代

    日本知能情報ファジィ学会誌   29 ( 3 )   501 - 509   2017

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  • テキストマイニングのための統合環境TETDMの利用意欲向上のためのゲームモードの開発 Reviewed

    砂山渡・竹岡駿・西村和則

    日本知能情報ファジィ学会誌   29 ( 2 )   558 - 566   2017

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  • 統合環境TETDMを用いた社会実践 Reviewed

    砂山渡，高間康史，徳永秀和，串間宗夫，西村和則，松下光範，北村侑也

    人工知能学会論文誌   32 ( 1_NFC-A )   1 - 12   2017

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  • 低圧配電線路に用いる絶縁監視装置の新しい検出方式 Reviewed

    西村和則・丸井雄策・西村諭則・砂山渡

    電気学会論文誌D   136 ( 11 )   2016

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  • 需要家構内低圧配電線路の事故原因判定法 Reviewed

    西村和則・丸井雄策・砂山渡

    電気学会論文誌D   136 ( 8 )   567 - 573   2016

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  • 直感的な意味付けとその繰り返しにより問題の考え方の理解と定着を促す学習システム Reviewed

    砂山渡・長田佳倫・川本佳代

    日本知能情報ファジィ学会誌   27 ( 5 )   723 - 733   2015

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  • TETDMを用いた電子カルテ分析支援ツールの開発と実カルテ分析での検証 Reviewed

    高間康史・串間宗夫・砂山渡

    人工知能学会論文誌   30 ( 1 )   372 - 382   2015

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  • TETDMを用いたテキストマイニングのスキル獲得を支援するためのチュートリアルシステムの開発 Reviewed

    西原陽子・中垣内李菜・川本佳代・砂山渡

    日本知能情報ファジィ学会誌   27 ( 5 )   771 - 783   2015

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  • Comments' Extraction by user ID, keywords, and Anchor Texts from the Thread of a Bulletin Board System Reviewed International journal

    Yoko Nishihara, Wataru Sunayama and Kazunori Nishimura

    The Review of Socionetwork Strategies   8 ( 1 )   35 - 49   2014

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  • Trend mining in social networks: from trend identification to visualization Reviewed International journal

    Puteri N. E. Nohuddin, Wataru Sunayama, Rob Christley, Frans Coenen and Christian Setzkorn

    Expert Systems   31 ( 5 )   457 - 468   2014

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  • オンライン対戦型クイズシステムによる学習支援環境 Reviewed

    砂山渡・渥美峻・西村和則・川本佳代

    日本知能情報ファジィ学会誌   26 ( 2 )   637 - 646   2014

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  • 統合環境TETDMを用いたマイニングツールの開発と利用の実践 Reviewed

    砂山渡・高間康史・西原陽子・梶並知記・串間宗夫・徳永秀和

    人工知能学会論文誌   29 ( 1 )   100 - 112   2014

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  • データマイニングによる高圧受電設備保全技術高度化の提案 Reviewed

    西村和則・前畑安志・砂山渡

    電気学会論文誌D   133 ( 12 )   1165 - 1170   2013

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  • Sales Strategy Mining Support with Visualization of Moving History Reviewed International journal

    Haruhi Satonaka and Wataru Sunayama

    The Review of Socionetwork Strategies   7 ( 1 )   15 - 29   2013

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  • テキストデータマイニングのための統合環境TETDMの開発 Reviewed

    砂山渡・高間康史・西原陽子・徳永秀和・串間宗夫・阿部秀尚・梶並知記

    人工知能学会論文誌   28 ( 1 )   1 - 12   2013

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  • 情報収集のためのテキストデータ集合の再帰的クラスタリング Reviewed

    砂山渡・濱岡秀平・奥田澄

    日本知能情報ファジィ学会誌   24 ( 3 )   697 - 706   2012

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  • 単語特性辞書を用いた電子掲示板の雰囲気の同定 Reviewed

    濱岡秀平・砂山渡

    日本知能情報ファジィ学会誌   24 ( 3 )   707 - 716   2012

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  • 入力履歴の再現による英文法感覚を掴むための学習支援システム Reviewed

    砂山渡・宮原和也・川本佳代

    日本知能情報ファジィ学会誌   24 ( 6 )   1128 - 1136   2012

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  • テキストの主題に基づく一貫性評価と結論抽出への応用 Reviewed

    砂山渡・谷川信弘

    日本知能情報ファジィ学会誌   23 ( 5 )   727 - 738   2011

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  • Total Environment for Text Data Mining Reviewed

    砂山渡・高間康史・Danushka Bollegala・西原陽子・徳永秀和・串間宗夫・松下光範

    人工知能学会論文誌   26 ( 4 )   483 - 493   2011

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  • Text Visualization using Light and Shadow based on Topic Relevance Reviewed International journal

    Yoko Nishihara and Wataru Sunayama

    International Journal of Intelligent Information Processing   2 ( 2 )   1 - 8   2011

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  • Consensus Development Support System for Opinion Convergence by Visualizing Input History Reviewed International journal

    Wataru Sunayama, Yuuki Tomiyama, Yukihiro Tamura, and Yoko Nishihara

    International Journal of Organizational and Collective Intelligence   2 ( 4 )   62 - 76   2011

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  • Personal Experience Acquisition Support from Blogs using Event-Depicting Pictures Reviewed International journal

    Yoko Nishihara and Wataru Sunayama

    International Journal of Information Processing and Management   2 ( 3 )   10 - 19   2011

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  • RFIDタグを用いた意見交換の収束支援システム Reviewed

    砂山渡・清水允文

    人工知能学会論文誌   26 ( 5 )   527 - 535   2011

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  • レポートの課題との関連度と意見文抽出による情報量評価支援 Reviewed

    砂山渡・川口俊明・田村幸寛

    電子情報通信学会論文誌   J93-D ( 10 )   2032 - 2041   2010

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  • 専門分野の素人に選択される研究発表タイトルの推定 Reviewed

    西原陽子・砂山渡

    情報処理学会論文誌   51 ( 8 )   1478 - 1486   2010

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  • 観点の違いによるキーワード間の関係の変化を捉えるための可視化手法 Reviewed

    西原陽子・田中大智・砂山渡

    可視化情報学会論文集   29 ( 6 )   9 - 16   2009

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  • 光と影を用いたテキストのテーマ関連度の可視化 Reviewed

    西原陽子・佐藤圭太・砂山渡

    人工知能学会論文誌   24 ( 6 )   480 - 488   2009

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  • 地図型アニメーションインタフェースにおけるキーワードの価値変化の検出 Reviewed

    砂山渡・錦戸拓也・西原陽子

    日本知能情報ファジィ学会誌   21 ( 3 )   304 - 315   2009

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  • Estimation of Friendship and Hierarchy from Conversation Records Reviewed International journal

    Yoko Nishihara and Wataru Sunayama

    Information Sciences   179 ( 11 )   1592 - 1598   2009

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  • Webページ間の相対的な具体抽象関係の視覚化による情報収集支援 Reviewed

    砂山渡・鮫島聡志・西原陽子

    電子情報通信学会論文誌   J92-D ( 3 )   271 - 280   2009

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  • 内容の独自性の視覚化によるレポートの独自性評価支援システム Reviewed

    砂山渡・川口俊明

    人工知能学会論文誌   23 ( 6 )   392 - 401   2008

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  • 出来事の画像表現によるブログからの体験談獲得支援 Reviewed

    西原陽子・佐藤圭太・砂山渡

    日本知能情報ファジィ学会誌   20 ( 5 )   757 - 767   2008

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  • 発話テキストからの人間の仲の良さと上下関係の推定 Reviewed

    西原陽子・砂山渡・谷内田正彦

    電子情報通信学会論文誌   J91-D ( 1 )   78 - 88   2008

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  • Creative Activity Support by Discovering Effective Combinations Reviewed International journal

    Yoko Nishihara, Wataru Sunayama and Masahiko Yachida

    Systems and Computers in Japan   38 ( 12 )   99 - 111   2007

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  • 嗜好の違いの解釈を支援するアニメーションインタフェース Reviewed

    西原陽子・辻由紀子・田中大智・砂山渡

    日本知能情報ファジィ学会誌   19 ( 1 )   3 - 12   2007

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  • サブトピックを考慮した重要文抽出による報知的要約生成 Reviewed

    相良直樹・砂山渡・谷内田正彦

    電子情報通信学会論文誌   J90-D ( 2 )   427 - 440   2007

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  • 説得プロセス分析の枠組みと債権回収会話ログへの適用 Reviewed

    砂山渡・矢田勝俊

    人工知能学会論文誌   22 ( 2 )   239 - 247   2007

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  • Discussion Visualization on a Bulletin Board System Reviewed International journal

    Wataru Sunayama

    Data Science Journal   6   S51 - S60   2007

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  • 積極的思考支援のためのキーワード選好インタフェース Reviewed

    西原陽子・赤井れい子・砂山渡・橘啓八郎

    日本知能情報ファジィ学会誌   18 ( 5 )   766 - 776   2006

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  • サブトピックモデルに基づく文章の流れの評価指標の提案 Reviewed

    砂山渡・橘啓八郎

    日本知能情報ファジィ学会誌   18 ( 2 )   280 - 289   2006

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    Language：Japanese   Publishing type：Research paper (scientific journal)   Participation form：Joint(The main charge)  

  • Webページの難易度と学習順序に基づく情報理解支援システム Reviewed

    西原陽子・砂山渡・谷内田正彦

    電子情報通信学会論文誌   J89-D ( 9 )   1963 - 1975   2006

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    Language：Japanese   Publishing type：Research paper (scientific journal)   Participation form：Joint(The vice charge)  

  • Image Labeling using Key Sentences of HTML Reviewed International journal

    Naoki Sagara, Wataru Sunayama and Masahiko Yachida

    Electronics and Communications in Japan   89 ( 7 )   31 - 41   2006

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    Language：English   Publishing type：Research paper (scientific journal)   Participation form：Joint(The vice charge)  

  • HTML Text Segmentation for Web Page Summarization by Using a Key Sentences Extraction Method Reviewed International journal

    Wataru Sunayama, Akihiro Iyama and Masahiko Yachida

    Systems and Computers in Japan   37 ( 7 )   26 - 36   2006

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    Language：English   Publishing type：Research paper (scientific journal)   Participation form：Joint(The main charge)  

  • Panoramic View System for Extracting Key Sentences Based on Viewpoints and an Application to a Search Engine Reviewed International journal

    Wataru Sunayama and Masahiko Yachida

    Journal of Network and Computer Applications   28 ( 2 )   115 - 127   2005

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    Language：English   Publishing type：Research paper (scientific journal)   Participation form：Joint(The main charge)  

  • 重要文抽出によるWebページ要約のためのHTMLテキスト分割 Reviewed

    砂山渡・井山晃洋・谷内田正彦

    電子情報通信学会論文誌   J87-D-I ( 12 )   1089 - 1097   2004

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    Language：Japanese   Publishing type：Research paper (scientific journal)   Participation form：Joint(The main charge)  

  • HTMLテキストの重要文を用いた画像ラベリング手法 Reviewed

    相良直樹・砂山渡・谷内田正彦

    電子情報通信学会論文誌   J87-D-I ( 2 )   145 - 153   2004

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    Language：Japanese   Publishing type：Research paper (scientific journal)   Participation form：Joint(The vice charge)  

  • 視線行動の可視化による着眼スキル伝達支援 Reviewed

    藤本武司・砂山渡・山口智浩・谷内田正彦

    人工知能学会論文誌   19 ( 3 )   174 - 183   2004

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  • 有効な組み合わせの発見による創造活動支援 Reviewed

    西原陽子・砂山渡・谷内田正彦

    電子情報通信学会論文誌   J87-D-I ( 10 )   939 - 949   2004

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    Language：Japanese   Publishing type：Research paper (scientific journal)   Participation form：Joint(The vice charge)  

  • 多角的な話題の収集を目的とした話題の独自性に基づくWebページの分類システム Reviewed

    井山晃洋・砂山渡・谷内田正彦

    人工知能学会論文誌   19 ( 6 )   561 - 570   2004

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    Language：Japanese   Publishing type：Research paper (scientific journal)   Participation form：Joint(The vice charge)  

  • 画像検索のためのWebテキストを用いた画像クラスタリング Reviewed

    砂山渡・永田晶子・谷内田正彦

    人工知能学会論文誌   19 ( 6 )   580 - 588   2004

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    Language：Japanese   Publishing type：Research paper (scientific journal)   Participation form：Joint(The main charge)  

  • A Panoramic View System for Extracting Key Sentences with Discovering Keywords Featuring a Document Reviewed International journal

    Wataru Sunayama and Masahiko Yachida

    Systems and Computers in Japan   34 ( 11 )   81 - 90   2003

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    Language：English   Publishing type：Research paper (scientific journal)   Participation form：Joint(The main charge)  

  • 未来の流行を予測するWebからの注目キーワードの発見 Reviewed

    砂山渡・谷内田正彦

    日本知能情報ファジィ学会誌   15 ( 3 )   309 - 317   2003

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    Language：Japanese   Publishing type：Research paper (scientific journal)   Participation form：Joint(The main charge)  

  • 観点に基づいて重要文を抽出する展望台システムとそのサーチエンジンへの実装 Reviewed

    砂山渡・谷内田正彦

    人工知能学会論文誌   17 ( 1 )   14 - 22   2002

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    Language：Japanese   Publishing type：Research paper (scientific journal)   Participation form：Joint(The main charge)  

  • Support System for User Interests Expression on Searching Web Page Reviewed International journal

    Wataru Sunayama, Yuji Nomura, Yukio Ohsawa and Masahiko Yachida

    Systems and Computers in Japan   32 ( 13 )   14 - 22   2001

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    Language：English   Publishing type：Research paper (scientific journal)   Participation form：Joint(The main charge)  

  • 文章の特徴を表すキーワードを発見して重要文を抽出する展望台システム Reviewed

    砂山渡・谷内田正彦

    電子情報通信学会論文誌   J84-D-I ( 2 )   146 - 154   2001

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    Language：Japanese   Publishing type：Research paper (scientific journal)   Participation form：Joint(The main charge)  

  • ユーザの興味の構造を用いて関連検索キーを提示する検索支援インターフェイス Reviewed

    砂山渡・大澤幸生・谷内田正彦

    人工知能学会誌   15 ( 6 )   1117 - 1124   2000

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    Language：Japanese   Publishing type：Research paper (scientific journal)   Participation form：Joint(The main charge)  

  • Webページ検索におけるユーザの興味表現支援システム Reviewed

    砂山渡・野村勇治・大澤幸生・谷内田正彦

    電子情報通信学会論文誌   J82-D-I ( 12 )   1394 - 1402   1999

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    Language：Japanese   Publishing type：Research paper (scientific journal)   Participation form：Joint(The main charge)  

  • 事象ごとの生起確率から未知事象発見を支援する手法とそのアンケート調査への適用 Reviewed

    砂山渡・大澤幸生・谷内田正彦

    人工知能学会誌   14 ( 2 )   349 - 358   1999

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    Language：Japanese   Publishing type：Research paper (scientific journal)   Participation form：Joint(The main charge)  

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Books etc

  • フリーソフトTETDMで学ぶ実践データ分析-データサイエンティスト育成テキスト-

    砂山渡（ Role： Sole author）

    コロナ社  2020.3  （ ISBN:978-4-339-02904-8 ）

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    Total pages：188   Language：Japanese   Book type：Scholarly book

Presentations

  • 敵対的生成ネットワークを用いて生成した硬性白斑画像についての検討

    藤田真穂，畑中裕司，砂山渡，村松千左子，藤田広志

    第39回日本医用画像工学会大会  2020.9 

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    Language：Japanese   Presentation type：Oral presentation (general)