Fully Automatic Brain Segmentation for Alzheimer’s Disease Detection from Magnetic Resonance Images

Chaturaphat Tanchi, Nipon Theera-Umpon, and Sansanee Auephanwiriyakul, "Fully Automatic Brain Segmentation for Alzheimer's Disease Detection from Magnetic Resonance Images," Proceedings of the International Conference on Soft Computing and Intelligent Systems / International Symposium on Advanced Intelligent Systems, Kobe, Japan, November 2012.
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Colon Tumor Microarray Classification Using Neural Network with Feature Selection and Rule-Based Classification

Narissara Eiamkanitchat, Nipon Theera-Umpon, and Sansanee Auephanwiriyakul, "Colon Tumor Microarray Classification Using Neural Network with Feature Selection and Rule-Based Classification", Advances in Neural Network Research and Applications (Lecture Notes in Electrical Engineering), Zhigan Zen and Jun Wang (Eds.), pp. 363?372, Springer-Verlag Berlin Heidelberg, 2010.
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TRUE LAB@CMU at Chiang Mai University Library

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Computational Intelligence Research Laboratory (CIRL) team led by Assoc. Prof. Dr. Sansanee Auephanwiriyakul and Assoc. Prof. Dr. Nipon Theera-Umpon demonstrated a fall detection machine specially designed for the elderly or patients with gait abnormality at the opening ceremony of TRUE LAB@CMU at Chiang Mai University Library, on September 4, 2015.  
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Northern Innovation Expo 2015

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Computational Intelligence Research Laboratory (CIRL) team led by Assoc. Prof. Dr. Sansanee Auephanwiriyakul and Assoc. Prof. Dr. Nipon Theera-Umpon demonstrated a fall detection machine specially designed for the elderly or patients with gait abnormality, together with Head angle measurement, at CentralPlaza Chiangmai Airport, on August 29 - 30, 2015.
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The 5th IEEE International Conference on Control Systems, Computing and Engineering (ICCSCE 2015)

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Kittichai Wantanajittikul and Kasemsit Teeyapan presented their research at ICCSCE 2015 in Penang, Malaysia 27-29 November 2015. Kittichai's paper title is “Fully Automatic Cardiac T2* Relaxation Time Estimation Using Marker-controlled Watershed”. Kasemsit's paper title is “Application of Support Vector based Methods for Cervical Cancer Cell Classification”.   
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