Research theme for competitive and other funds (8)：
2023 - 2027 Development of an AI-based ventilator safety management support system
2023 - 2026 3次元データを用いた疑似画像生成による2次元単純X線AI病変検出モデル確立
2022 - 2024 デジタルヘルスを活用した奈良県の魅力深耕
2022 - 2024 Development of a Treatment Decision Support System for Urolithiasis
2023 - 2023 TKA術後患者満足度決定因子抽出に基づく新たな治療方針の検討
2022 - 2022 Prediction of Ureter ESWL Outcome by Machine Learning and Model Interpretation Approach Using SHAP
2021 - 2022 人工知能を用いた頸動脈プラークの予後予測による治療方針決定支援
2021 - 2022 Development of a Photoplethysmograph Sensor Robust to Fingertip Contact Force
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Papers (52)：
Daisuke FUJITA, Yuki ADACHI, Syoji KOBASHI. 根管治療痕を考慮したパノラマX線画像における歯牙自動認識法. Journal of Japan Society for Fuzzy Theory and Intelligent Informatics. 2024. 36. 2. 610-615
Kenta Takatsuji, Yoshikazu Kida, Kenta Sasaki, Daisuke Fujita, Yusuke Kobayashi, Tsuyoshi Sukenari, Yoshihiro Kotoura, Masataka Minami, Syoji Kobashi, Kenji Takahashi. Deep Learning-Based Computer-Aided Diagnosis of Osteochondritis Dissecans of the Humeral Capitellum Using Ultrasound Images. The Journal of bone and joint surgery. American volume. 2024
Kenta Sasaki, Daisuke Fujita, Kenta Takatsuji, Yoshihiro Kotoura, Masataka Minami, Yusuke Kobayashi, Tsuyoshi Sukenari, Yoshikazu Kida, Kenji Takahashi, Syoji Kobashi. Deep learning-based osteochondritis dissecans detection in ultrasound images with humeral capitellum localization. International journal of computer assisted radiology and surgery. 2024
藤田大輔. 医用画像処理における AI 活用の動向. 知能と情報. 2024. 36. 2. 7-8
前田竜之介, 藤田大輔, 宮原直之, 難波文彦, 小橋昌司. The Influence of Day of Age in Predicting Chronic Lung Disease in Neonates from Chest X-Rays. インテリジェント・システム・シンポジウム(CD-ROM). 2023. 31st
奥田真矢, 藤田大輔, 田中洋, 無藤智之, 乾浩明, 小橋昌司. Detection of Shoulder Rotator Cuff Tears from X-Ray Image by Using Convolutional Neural Network. 知能と情報(CD-ROM). 2023. 35. 1
山本偉嗣, 藤田大輔, 諸岡孝俊, 井石琢也, 吉矢晋一, 小橋昌司. Feature extraction on patient satisfaction prediction using TKA intraoperative data. ファジィシステムシンポジウム講演論文集(CD-ROM). 2023. 39th
Interpretability of ESWL Outcome Prediction Model and Feature Selection Using SHAP values
(The 24th International Symposium on Advanced Intelligent Systems(ISIS2023) 2023)
Comparison of U-Net Backbones on Segmenting Gas and Stool Regions from Abdominal X-Ray
(The 24th International Symposium on Advanced Intelligent Systems(ISIS2023) 2023)
2016 - 2020 Wakayama University Graduate School of Systems Engineering
Professional career (1)：
Doctor of Systems Engineering (Wakayama University)
Work history (1)：
2021/04 - 現在 University of Hyogo Graduate School of Engineering Assistant professor
Awards (7)：
2023/12 - バイオメディカル・ファジィ・システム学会 貢献賞 大会現地委員長
2023/12 - 会員奨励賞 Assessment of the effectiveness of non-stone area in CT images for ESWL outcome prediction
2023/12 - The 24th International Symposium on Advanced Intelligent Systems (ISIS) Best Presentation Award Interpretability of ESWL Outcome Prediction Model and Feature Selection Using SHAP values
2023/12 - The 24th International Symposium on Advanced Intelligent Systems (ISIS) Best Presentation Award Deep Learning Approach for Early Detection and Prediction of Chronic Lung Disease in Neonates Chest X-ray Images
The Japanese Society of Medical Imaging Technology(JAMIT)
, Institute of Electrical and Electronics Engineers(IEEE)
, Japanese Society for Medical and Biological Engineering (JSMBE)
