Asakawa Tetsuya

アサカワテツヤ | Asakawa Tetsuya

Affiliation and department：

Research field (2)： Medical systems , High-performance computing

Research keywords (9)： AI画像診断 , データマイニング , 情報検索 , 特徴量抽出 , 機械学習 , マルチラベル・マルチクラス問題 , 3D , Deep learning , データサイエンス

Research theme for competitive and other funds (5)：

2022 - 2025 非侵襲的検査における深層学習を用いたマルチラベル問題での病症の推定
2021 - AIによる画像診断の研究
2017 - 2021 Research on Fine-grained 3D Shape Similarity Search and Automatic Captioning using Deep Learning
2020 - 2021 2020年度教育研究活性化経費
2019 - 2020 2019年度教育研究活性化経費

Papers (87)：

Koki Inoue, Tetsuya Asakawa, Kazuki Shimizu, Kei Nomura, Masaki Aono. Identifying Training Data "Fingerprints" Using Border Enhancing Image Processing Methods and Their Ensemble. CLEF (Working Notes). 2024. 3740. 1640-1644
Shota Fukuyama, Tetsuya Asakawa, Kazuki Shimizu, Kei Nomura, Masaki Aono. KDE Lab at ImageCLEFmedical GANs 2024. CLEF (Working Notes). 2024. 3740. 1608-1612
Tetsuya Asakawa, Kazuki Shimizu, Kei Nomura, Masaki Aono. KDE-med-lab at ImageCLEF 2024: Identify data and detect generative models using CNN by lung segmentation based on U-net. CLEF (Working Notes). 2024. 3740. 1500-1507
Masaki Aono, Tetsuya Asakawa, Kazuki Shimizu, Kei Nomura. Medical Image Captioning using CUI-based Classification and Feature Similarity. CLEF (Working Notes). 2024. 3740. 1490-1499
Tetsuya Asakawa, Hiroki Shinoda, Kei Nomura, Kazuki Shimizu, Masaki Aono. Determination stenosis from coronary stretch images for CNN. International Conference on Electrical, Computer and Energy Technologies (ICECET 2024) 25-27 July 2024, Sydney-Australia. 2024

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Lectures and oral presentations (45)：

Determination stenosis from coronary stretch images for CNN
(International Conference on Electrical, Computer and Energy Technologies (ICECET 2024) 25-27 July 2024, Sydney-Australia 2024)
Estimating degree of coronary artery stenosis severity from non-contrast CT images using CNN
(2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS) 2024)
Cardiac Detection in Non-Contrast CT and Application to Calcium Scoring
(電子情報通信学会技術研究報告(Web) 2024)
Predicting Stenosis Severity and Localization in Coronary Artery using Deep Learning.
(The 7th International Conference on Machine Vision and Applications (ICMVA2024) 2024)
An attempt to determine stenosis from coronary stretch images using deep learning
(電子情報通信学会技術研究報告(Web) 2024)

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Education (2)：

Committee career (4)：

Awards (5)：

2022/10 - 系長賞豊橋技術科学大学情報・知能工学系
2019/03 - DEIM2020(電子情報通信学会,情報処理学会,日本データベース学会) 学生プレゼンテーション賞ハンドクラフト画像特徴量と CNN 特徴量を組み合せた日本古典籍くずし字認識
2012/04 - 電気関係学会関西連合大会奨励賞
2011/10 - 臨床神経生理学最優秀賞心身状態に関連した情動的文章刺激による脳波のウェーブレット解析
2010/09 - WAC2010 Best Student Paper Award

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