Research field (2)：
Perceptual information processing
, Intelligent informatics
Research keywords (2)：
Image Processing
, Pattern Recognition
Research theme for competitive and other funds (12)：
2022 - 2025 Development of a deep Learning method for easy annotation of crack segmentation
2020 - 2023 development of a neurofeedback methd for depression by recovering cognitive and emotional dysfunction
2019 - 2022 MSI related predictive biomarkers of response to immune checkpoint inhibitors for patients with metastatic urological cancers
2018 - 2021 Automatic crack detection from pavements using deep neural networks with small data set
2016 - 2021 Development of treatment for depression by neurofeedback and emotional regulation for the purpose of preventing recurrence
2015 - 2018 Prediction of Recurrence of Liver Cancer by a Discrete Bayes Decision Rule for Personalized Medicine
2015 - 2018 Development of supplementary laboratory test for the differential diagnosis of depression
2014 - 2017 Development of prediction system for chemotherapy-induced side effects based on cytokine gene polymorphism
2015 - 2016 道路点検業務の効率化・省力化を可能とする路面ひび割れ率評価システムの開発
2012 - 2015 A study on the prediction of the recurrence of hepatocellular carcinoma (HCC) by a novel Boolean classifier with use of the combination of genomic data and clinical data
2012 - 2014 An Automatic Image Stitching Method for Visual Inspection of Concrete Structures
2009 - 2011 Statistical Pattern Recognition in Small Sample Size Situations and its Application to Detection of Hepatocellular Carcinoma
Show all
Papers (86)：
Kazuma Nakata, Yusuke Fujita, Yoshihiro Mitani, Yoshihiko Hamamoto, Makoto Segawa, Shuji Terai, Isao Sakaida. Automatic ROI Selection with Reliability Evaluation Method for Cirrhosis Detection Using Ultrasound Images. IEEJ Transactions on Electrical and Electronic Engineering. 2024. 19. 7. 1234-1244
Yusuke Fujita, Yoshihiro Mitani, Yoshihiko Hamamoto. Ultrasound Image Analysis for Diagnosis of Liver Cirrhosis. The Journal of Reliability Engineering Association of Japan. 2023. 45. 6. 312-319
Tatsuya Shirane, Yuuki Tasaka, Yusuke Fujita. An efficient construction method of accurate crack detection model using SimCLR. Artificial Intelligence and Data Science. 2023. 4. 3. 733-740
Yusuke Fujita. Multiple-stage multiple-instance deep learning for cost reduction in annotation of cracks. Artificial Intelligence and Data Science. 2023. 4. 3. 36-45
Yusuke Fujita, Taisei Tanaka, Tomoki Hori, Yoshihiko Hamamoto. Classification Model Based on U-Net for Crack Detection from Asphalt Pavement Images. Journal of Image and Graphics. 2023. 11. 2. 121-126
山本義明, 井上亮, 矢野誠司, 平田寛, 松本洋明, 恒富亮一, 藤田悠介, 大鳥徹, 松山豪泰. Pharmacogenetics-based AUC model can determine the optimal initial axitinib dose for more precise treatment of individuals with advanced renal cell carcinoma. 日本泌尿器科学会総会(Web). 2020. 108th
