Publications

Precision Medicine & Clinical Translational Research Lab

Journal Papers
Conference Papers
Book Chapter Papers

2023

  • Yun-Xin Li, Meng-Hsiun Tsai*, Yao-Ying Su, Chuen-Horng Lin, Yung-Jr Lin (Aug., 2023). Animal Detection and Recognition in Ecological Observation Videos Using Convolutional Neural Networks: A Case Study of Lianhua Pond Experimental Forest in Taiwan. World Conference on Pattern Recognition (WCPR – 23), Singapore, Singapore.

2022

  • Min-Yu Chen, Sheng-Kuang Wu, Chung-Hao Hsueh, and Meng-Hsiun Tsai* (Oct., 2022). A Deep Research on Stress Classification of Table Tennis Athletes Based on Perceived Stress Scale and EEG. IET ICETA 2022, Changhua, Taiwan.
  • Yu-Hung Tsai, Sheng-Kuang Wu, Shyr-Shen Yu, and Meng-Hsiun Tsai* (Jul., 2022). Two-level Classification of Mental Stress Using DenseNet,” book series in Transactions on Computational Science & Computational Intelligence. BIOCOMP’22 CSCE 2022, Las Vegas, USA.

2021

  • Yu-Hung Tsai, Sheng-Kuang Wu, Shyr-Shen Yu, Meng-Hsiun Tsai* (Dec, 2021). A General EEG Stress Classification Model for Table Tennis Athletes. 2021 FISU World Conferences, Online.
  • Meng-Hsiun Tsai, Chung-Hao Hsueh, Yu-Hung Tsa, Sheng K Wu* (May, 2021). TAIWANESE TABLE TENNIS ATHLETES’ STRESS DETECTION BASED ON EEG. 2021 Taiwan International Conference on Physical Activity and Exercise Science. Taichung, Taiwan.
  • Chung-Ho Huang, Yun-Hui Lai, Meng-Hsiun Tsai*, Chia-Te Hsu, Ping-Sung Chen (Feb., 2021). Detect safety net on the construction site based on YOLO-v4. The 4th International Conference on Innovative Computing (IC 2021), Taichung, Taiwan.

2020

  • Ping-Sung Cheng, Meng-Hsiun Tsai*, Chung-Hao Hsueh, Sheng K Wu (Dec., 2020). Stress Level Classifier: Taiwanese College Table Tennis Athletes’ Electroencephalography Analysis Based on Decision Trees. 2020 International Conference on Pervasive Artificial Intelligence (ICPAI 2020), Taipei, Taiwan.
  • Meng-Hsiun Tsai,Chi-Yuan Hsia,Chung-Hao Hsueh,Meng-Hsin Tsai,Sheng K Wu, Hsien-Chung Huang (Jan., 2021). A General Electroencephalography Signal Pattern Verification Model Based on Convolutional Neural Network. 2020 IEEE Eighth International Conference on Communications and Electronics (ICCE 2020), Phu Quoc Island , Vietnam.
  • Meng-Hsiun Tsai*, Chi-Yuan Hsia, Sheng K Wu, Tzu-Ling Chen (May, 2020). An Individual Specific Electroencephalography Signal Pattern Verification Model Based on Machine Learning and Convolutional Neural Network. The 5th International Conference on Information and Network Technologies (ICINT 2020), Okinawa, Japan.

2019

  • Po-Yu Kuo, Chi-Yuan Hsia, Meng-Hsiun Tsai*, Yi-Ta Chung (Jul., 2019). Analysis of athletes’ brainwave with stress based on machine learning. 2019 ICMS (International Conference on Media Studies), Bangkok, Thailand.
  • Ching-Lin Wang, Yung-Kuan Chan, Meng-Hsiun Tsai, Chi-Shiang Chan, Chih-Ting Yang and Che-Chia Chan (Jul., 2019). MAP2 Antibody Staining Rat Brain Tissue Image Based Stroke Stage Diagnostic Method. The 2019 International Conference on Innovative Computing and Management Science (ICMS 2019), Osaka, Japan.
  • Jimmy Ming-Tai Wu, Meng-Hsiun Tsai, Sheng-Han Xiao and Yung-Po Liaw (Jul., 2019). A Deep Learning Model for Left Ventricular Hypertrophy Prediction. The 2019 International Conference on Innovative Computing and Management Science (ICMS 2019), Osaka, Japan.
  • Po-Yu Kuo, Chi-Yuan Hsia, Meng-Hsiun Tsai and Yi-Ta Chung (Jul., 2019). An Electroencephalography Classifier for Stressful Athletes based on TREEs and MLP. The 2019 International Conference on Innovative Computing and Management Science (ICMS 2019), Osaka, Japan.
  • Yung-Kuan Chan, Chun-Fu Hong, Meng-Hsiun Tsai, Chung-Long Yu, Ya-Lan Chang and Ping-Hsuan Sun (Jul., 2019). Image Based Stroke Rat Brain Atrophy Volume and Infarct Volume Computation. The 2019 International Conference on Innovative Computing and Management Science (ICMS 2019), Osaka, Japan.
  • Meng-Hsiun Tsai, Chi-Yuan Hsia, Chien-Yu Lin, Sheng K Wu (Apr., 2019). Analysis and Predictive Classification Model of Athletes’ Brainwave Based on Machine Learning – A Case Study of Table Tennis Athletes in Taiwan. The 16th International Table Tennis Federation Sports Science Congress, Budapest, Hungary.
  • Sheng K Wu, Ching-Hsiu Chiang, Yung-Hoh Sheu, Ming-Hua Hsu, Meng-Hsiun Tsai, Wen-Dien Chang, Chang-Chun Huang (Apr., 2019). Systematic Development of Table Tennis Sport Science Project in Taiwan: Talent Selection, Measurement of Pressure, Sport Injury, Technological Rackets, and Intellectual Tactical System. The 16th International Table Tennis Federation Sports Science Congress, Budapest, Hungary.
  • Ming-Hua Hsu, Sheng-K Wu, Wen-Chung Chiang, Chia-Wei Hsu, Jing-Wei Liu, Meng-Hsiun Tsai (Apr., 2019). Analysis of 3S Strategies of Table Tennis Players in Service and Receiving Service: Using the Decision Tree. The 16th International Table Tennis Federation Sports Science Congress, Budapest, Hungary.
  • Jimmy Ming-Tai Wu, Meng-Hsiun Tsai*, Chia-Te Hsu, Hsien-Chung Huang, Hsiang-Chun Chen (Mar., 2019). Intelligent Signal Classifier for Brain Epileptic EEG Based on Decision Tree. Proceedings of the 2019 Future of Information and Communication Conference (FICC 2019). San Francisco, U.S.A.
  • Jimmy Ming-Tai Wu, Meng-Hsiun Tsai*, Sheng-Han Xiao, Tsu-Yang Wu (Nov., 2018). Construct Left Ventricular Hypertrophy Prediction Model Based on Random Forest. Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2018). Sendai, Japan.

2018

  • Jimmy Ming-Tai Wu, Meng-Hsiun Tsai*, Tu-Wei Li, Hsien-Chung Huang (Oct., 2018). Constructed Link Prediction Model by Relation Pattern on the Social Network. The Fifth Euro-China Conference on Intelligent Data Analysis and Applications. (ECC-2018). Xi’an, China.
  • Jui-Ming Chen, Meng-Hsiun Tsai, Jimmy Ming-Tai Wu, Chia-Te Hsu, Hsien-Chung Huang*, Hsiang-Chun Chen (Nov., 2018). Random Oversampling and Decision Tree based Classification Models for Imbalanced Dataset of Brain Epileptic EEG. International Conference on Innovative Practices in Science Engineering, Computer and Information Technology. (SECIT 2018), Tokyo, Japan.
  • Meng-Hsiun Tsai, Kai-Cheng Chuan, Jeng-Jer Shieh, Chia-Tsen Tsai, Yong-Zhi Huang, Tu-Wei Li (May, 2018). Microarray Data Analysis and Model Construction based on Oversampling Approach and Decision.2018 3rd International Conference on Information and Network Technologies (ICINT 2018), Osaka, Japan.
  • Yung-Kuan Chan, Meng-Hsiun Tsai*, Ping-Hsuan Sun and Sun, Ya-Lan Chang and Chwei-Shyong Tsai (Jun., 2018). Ratio Computation of Stroke Rat Brain Infarct Volume and Atrophy Volume Relative to the Normal Brain Volume. 2018 International Conference on System Science and Engineering (ICSSE), New Taipei City, Taiwan
  • Chiu-Shu Pan, Chi-Wei Wang, Meng-Hsiun Tsai*, Cheng-Bang Kuo, Cheng-Hsuan Kuo (Mar., 2018). Classification of Dementia Based on Over-Sampling Approach and Decision Tree. The 2018 International Conference on Big Data and Education (ICBDE 2018), Honolulu, Hawaii, USA.

2017

  • Yu-Hung Tsai, Meng-Hsiun Tsai*, Chung-Yi Kuo, Ching-Yu Kuo (Jul., 2017). A Hybrid Filter and Wrapper Algorithms for Genetic Pathway Analysis of Ovarian Cancer Microarray Dataset. The 21st World Multi-Conference on Systemics, Cybernetics and Informatics (WMSCI 2017), Orlando, Florida, USA.

2015

  • Meng-Hsiun Tsai, Hsin-Lung Wang, Teng-Yen Wu, Mu-Yen Chen* (Jan., 2015). A New RFID and Cellular Automata Based Genetic Sequence Converter. Future Information Technology – II Series Lecture Notes in Electrical Engineering, Hanoi, Vietnam.

2014

  • Shyr-Shen Yu, Ching-Hua Chiu*, Chia-Chi Liu, Yung-Kuan Chan*, and Meng-Hsiun Tsai (Dec., 2014). Exercise prescription formulating scheme based on a two-layer K-means classifier. IEEE Symposium Series on Computational Intelligence 2014 (IEEE SSCI 2014), Orlando, Florida, U.S.A.

2013

  • Jui-Ming Chen, Ying-chieh Lin, Meng-Hsiun Tsai*, Yu-Chen Lin, Hsiao-Wei Lin and Sheng-Hsiung Chiu (Nov., 2013). A New Cellular Automata Based Converter for Genetic Sequences. The 2013 4th International Conference on Biology, Environment and Chemistry, Phuket, Thailand.
  • Jui-Ming Chen, Ying-Chieh Lin, Meng-Hsiun Tsai*, Hsiao-Wei Lin, Kun-Cheng Wu and Mu-Yen Chen (Sep., 2013). An Automation System for Biological Sequence Alignment. The 2nd International Conference on Advances in Biological and Pharmaceutical Sciences (ICABPS ,2013), Hong Kong, China.

2012

  • Shu-Wei Guo, Yung-Kuan Chan, Meng-Hsiun Tsai, Jiunn-Lin Wu, Chuin-Mu Wang, and Yen-Ping Chu (Aug., 2012). Infarct Region Detection Using SVM Classification. The 25th IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP2012), Sun Moon Lake, Taiwan.
  • Wei-Chun Chen, Yung-Kuan Chan, Yu-An Liu, Ying-Chief Lin, Meng-Hsiun Tsai* and I-Lin Ho (Aug., 2012). F-Selector Based on Statistical and Computational Methods in Candidate Oncogenes Selection for Ovarian Carcinoma Microarray Data. The Sixth International Conference on Genetic and Evolutionary Computing (ICGEC 2012), Kitakyushu, Japan. NSC 99-2221-E- 005-067.
  • Chih-Yu Hsu, Ya-Fang Chuang, Meng-Hsiun Tsai*, Yung-Kuan Chan, Shao-Ching Chao, Wen-Yu Cheng (Jul., 2012). Vertebrae Segmentation of Spinal MRI Images International Symposium on Computer, Consumer and Control (IS3C 2012), Taichung, Taiwan.
  • Jui-Ming Chen, Ya-Chun Tang, Utpala Shrestha, Meng-Hsiun Tsai*, and Sheng-Hsiung Chiu (Jun., 2012). A Study of Differently Expressed Brain Genes for Calcium Channel Gene Knockout and Wild-Type Mice by Statistical and Hierarchical Clustering. The 2nd International Conference on Biomedical Engineering and Technology (ICBET 2012), Hong Kong, China.
  • Sheng-Hsiung Chiu, Meng-Hsiun Tsai*, Hsieh-Chung Wu, Wei-Chun Chen, Utpala Shrestha, Sherwin Kuo (May 2012). Application of Fuzzy c-Means and Self-Organizing Maps for Genes Clustering in Mouse Brain Microarray Data Analysis. The 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), Sichuan, China.

2011

  • Chia-Yi Chuang, Po-Whei Huang, Chi-Shiang Chan, Meng-Hsiun Tsai, Yung-Kuan Chan (Nov., 2011). PET Image Based Brain Tumor Contour Detector. The 11th International Conference on Automation Technology (Automation2011), Douliu, Yunlin, Taiwan.
  • Jui-Ming Chen, Meng-Hsiun Tsai*, Shih-Huei Wang, Sheng-Hsiung Chiu (Jul., 2011). The study of ovarian carcinoma gene regulatory mechanism based on the shortest path algorithm and conditional probabilities. The 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), Shanghai, China.
  • Meng-Hsiun Tsai, SHIH-HUEI wang, Kun-Cheng Wu, Jui-Ming Chen*, SHENG-HSIUNG CHIU (Apr., 2011). Human Ovarian carcinoma microarray data analysis based on Support Vector Machines with different kernel functions. The 2011 International Conference on Environment Science and Engineering (ICESE 2011), Bali Island, Indonisia.
  • Sheng-Hsiung Chiu, Shih-Huei Wang, Mei-Lin Lin, Meng-Hsiun Tsai* (Mar., 2011). A hybrid system for cancerous stage classification of colon cancer: cases study in Taiwan. The 2011 3rd International Conference on Bioinformatics and Biomedical Technology (ICBBT 2011), Sanya, Hainan, China.