研究者
J-GLOBAL ID：202101004244653870   更新日: 2024年06月18日

カビタ ムトウ スバッュ

カビタ ムトウ スバッュ | Kavitha Muthu Subash
研究分野 (4件)： データベース ,  生命、健康、医療情報学 ,  知能情報学 ,  計算機システム
研究キーワード (1件)： Artificial Intelligence, Deep Learning Algorithms, Image processing, Image Analysis and Recognition, Computer-aided Diagnosis, Computer Vision
競争的資金等の研究課題 (4件)：
  • 2024 - 2027 継続的な虚血性脳卒中評価のためのデータ節約型自己教師型深層学習システム
  • 2023 - 2024 Self Supervised AI model in plant growth analysis.
  • 2022 - Artificial intelligence research in the field of medical and industrial big data, Exchange Program
  • 2018 - 2021 アルツハイマー病診断のための深層学習によるPET画像解析
論文 (63件)：
  • Ananthakrishnan Balasundaram, Alabhya Sharma, Swaathy Kumaravelan, Ayesha Shaik, Muthu Subash Kavitha. An Improved Normalized Difference Vegetation Index (NDVI) Estimation Using Grounded Dino and Segment Anything Model for Plant Health Classification. IEEE Access. 2024. 12. 75907-75919
  • Muthu Subash Kavitha, Aurelia Jackson, V. Manikandarajan, Muralindran Mariappan, Anand Paul, Balu Alagar Venmathi Maran. Artificial Intelligence Methods in Marine Biotechnology. Marine Biotechnology: Applications in Food, Drugs and Energy. 2023. 339-354
  • Ananthakrishnan Balasundaram, Muthu Subash Kavitha, Yogarajah Pratheepan, Dhamale Akshat, Maddirala Venkata Kaushik. A Foreground Prototype-Based One-Shot Segmentation of Brain Tumors. Diagnostics. 2023. 13. 7. 1282-1282
  • Mohan Bhandari, Pratheepan Yogarajah, Muthu Subash Kavitha, Joan Condell. Exploring the Capabilities of a Lightweight CNN Model in Accurately Identifying Renal Abnormalities: Cysts, Stones, and Tumors, Using LIME and SHAP. Applied Sciences. 2023. 13. 5. 3125-3125
  • Balasundaram Ananthakrishnan, Ayesha Shaik, Soham Kumar, S. O. Narendran, Khushi Mattu, Muthu Subash Kavitha. Automated Detection and Classification of Oral Squamous Cell Carcinoma Using Deep Neural Networks. Diagnostics. 2023. 13. 5. 918-918
もっと見る
MISC (1件)：
  • Kavitha MS, Li L, Samopa F, Asano A, Taguchi A. Continuous measurement of the mandibular cortical bone in dental panoramic radiographs for the diagnosis of osteoporosis. Proceedings of IEICE: Topical meeting on Medical Imaging,. 2010. 110. 195. MI2010-53
特許 (4件)：
  • Artificial intelligence system for lymph node metastases detection for thyroidectomized papillary thyroid cancer (Granted)
  • Automatic stem cells condition assessment system
  • Computational system and method to identify cancer causing genes, recording medium for performing the method.
  • Apparatus for assisting diagnosis of osteoporosis and program for diagnosis of osteoporosis
書籍 (1件)：
  • The impact of COVID-19 on International Students and the support provided by Nagasaki University: a study based on the results of a Questionnaire survey
    Multicultural Social Research 2022
講演・口頭発表等 (4件)：
  • Artificial Intelligence bridges the gap between human and machine
    (Symposium on Cutting Edge Issues in Spatial Econometrics and Image Processing: Missing data, Casual Inference and Machine learning 2022)
  • Regularizers in convolution neural network improve the medical domain analysis
    (NU-ISI Biomedical Data Science Online Workshop 2022)
  • Enhancing Performance of Deep Networks for Medical Images using Regularizers
    (Workshop on Analytical tools for Image Processing 2022)
  • Desire weight learning with class-variant loss for Imbalanced segmentation
    (Symposium on New Developments in Methodologies and Applications in Data Science and Statistics. 2021)
学歴 (1件)：
  • 2009 - 2012 Ph.D. Graduate School of Engineering, Hiroshima University, Japan Department of Information Engineering
学位 (1件)：
  • 工学 (広島大学)
経歴 (8件)：
  • 2024/05 - 現在 長崎大学
  • 2021/04 - 2024/04 School of Information and Data Sciences, Nagasaki University, Japan
  • 2020/10 - 2021/03 Graduate School of Advanced Science and Engineering, Pattern Recognition and Machine Learning, Hiroshima University, Japan
  • 2020/08 - 2020/09 Graduate School of Advanced Science and Engineering, Pattern Recognition and Machine Learning,Hiroshima University, Japan
  • 2018/08 - 2020/07 Department of Information Engineering, Pattern Recognition and Machine Learning, Hiroshima University, Japan
全件表示
委員歴 (5件)：
  • 2016/12 - 現在 International Association of Engineers
  • 2022/01 - The Japanese Society for Artificial Intelligence
  • 2022/01 - Information Processing Society of Japan
  • 2021/12 - The Institute of Electronics, Information and Communication Engineers
  • 2012/06 - 2015/12 IEEE Computer Society
受賞 (5件)：
  • 2018/08 - Hiroshima University JSPS International Fellowship for Research
  • 2017/09 - Kyungpook National University, Brain Korea 21Plus
  • 2017/01 - Hiroshima University JSPS Visiting Researcher
  • 2015/09 - Kyungpook National University, Brain Korea 21 Research Fellowship
  • 2009/04 - Hiroshima University JASSO Doctoral training Grant
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