Rchr
J-GLOBAL ID：201801006019097044
Update date: Dec. 19, 2022
Mazen Soufi
Mazen Soufi
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Affiliation and department：
Nara Institute of Science and Technology Information Science
About Nara Institute of Science and Technology Information Science
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Homepage URL (1)：
http://icb-lab.naist.jp/english/index.html
Research field (5)：
Intelligent informatics
, Biomaterials
, Biomedical engineering
, Biomaterials
, Biomedical engineering
Research keywords (5)：
Computer-aided surgery
, Computer-aided diagnosis
, Medical image analysis
, Statistical shape analysis
, Machine learning
Research theme for competitive and other funds (1)：
2016 - 2018 Differential-Topology-Based Optimization of High Precision Radiation Treatment Planning in Multi-Variate Functions
Papers (6)：
Arimura H, Soufi M, Ninomiya K, Kamezawa H, Yamada M. Potentials of radiomics for cancer diagnosis and treatment in comparison with computer-aided diagnosis. Radiological physics and technology. 2018. 11. 4. 365-374
Soufi M, Arimura H, Nagami N. Identification of optimal mother wavelets in survival prediction of lung cancer patients using wavelet decomposition-based radiomic features. Medical physics. 2018. 45. 11. 5116-5128
Arimura H, Soufi M, Kamezawa, Ninomiya K, Yamada M. Radiomics with artificial intelligence for precision medicine in radiation therapy. Journal of radiation research. 2018. 60. 1. 150-157
Mazen Soufi, Hidetaka Arimura, Takahiro Nakamoto, Taka-aki Hirose, Saiji Ohga, Yoshiyuki Umezu, Hiroshi Honda, Tomonari Sasaki. Exploration of temporal stability and prognostic power of radiomic features based on electronic portal imaging device images. Physica Medica. 2018. 46. 32-44
Arimura H, Soufi M, Haekal M. Multidimensional Image Analysis for High Precision Radiation Therapy. Igaku butsuri : Nihon Igaku Butsuri Gakkai kikanshi = Japanese journal of medical physics : an official journal of Japan Society of Medical Physics. 2017. 36. 4. 217-221
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