Tsai-Rong Chang

According to our database, Tsai-Rong Chang authored at least 9 papers between 2004 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Modeling surgical patients' tidal volumes set by anesthesiologists - A successful regression approach based on 6 body parameters.

Edmund Cheung So, Tsai-Rong Chang

Biomed. Signal Process. Control., 2022

Strong energy component is more important than spectral selectivity in modeling responses of midbrain auditory neurons to wide-band environmental sounds.

Tsai-Rong Chang, Petr Marsalek, Tzai-Wen Chiu

Biosyst., 2022

2020

Responses of midbrain auditory neurons to two different environmental sounds - A new approach on cross-sound modeling.

Tsai-Rong Chang, D. Suta, Tzai-Wen Chiu

Biosyst., 2020

2019

Leaf Segmentation and 3D Reconstruction of ARAFIDOPSIS Based on MASK R-CNN.

Ding-Horng Chen, Zun-Wei Zhang, Tsai-Rong Chang

Proceedings of the 8th International Congress on Advanced Applied Informatics, 2019

The Sensor Calibration and Growth Parameters Monitoring for Phalaenopsis Cultivation.

Ding-Horng Chen, Rong-Show Shen, Tsai-Rong Chang, Pei-Shan Lin, Tzu-Ying Wang

Proceedings of the Web, Artificial Intelligence and Network Applications, 2019

2013

Tumor segmentation from breast magnetic resonance images using independent component texture analysis.

Sheng-Chih Yang, Chieh-Ling Huang, Tsai-Rong Chang, Chi-Yuan Lin

J. Electronic Imaging, 2013

2012

The development of a skin inspection imaging system on an Android device.

Ding-Horng Chen, Tsai-Rong Chang, Ren-Jie Cao

Proceedings of the 7th International Conference on Communications and Networking in China, 2012

2009

Knee MR image segmentation combining contextual constrained neural network and level set evolution.

Haw-Chang Lan, Tsai-Rong Chang, Wen-Ching Liao, Yi-Nung Chung, Pau-Choo Chung

Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2009

2004

Responses of central auditory neurons modeled with finite impulse response (FIR) neural networks.

Tsai-Rong Chang, E-Liang Chen, Paul Wai-Fung Poon, Pau-Choo Chung, Tzai-Wen Chiu

Comput. Methods Programs Biomed., 2004