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Yao-Tien Chen
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2020 – today
- 2024
- [c9]Yao-Tien Chen, Nisar Ahmad, Chi-Che Hong, M. David Honesty:
Colorectal Polyp Detection and Classification using Deep Learning Techniques. ICCE-Taiwan 2024: 459-460 - [c8]Nisar Ahmad, Yao-Tien Chen:
3D Brain Tumor Segmentation in Multimodal MRI Images. ICCE-Taiwan 2024: 543-544 - 2023
- [j3]Yao-Tien Chen, Nisar Ahmad:
Colorectal Polyp Detection and Comparative Evaluation Based on Deep Learning Approaches. IEEE Access 11: 135074-135089 (2023) - [c7]Nisar Ahmad, Yao-Tien Chen:
UNet-based Automatic Multicalss Brain Tissue Segmentation. ICCE-Taiwan 2023: 453-454 - 2022
- [c6]Yao-Tien Chen, Nisar Ahmad, Jin-Wei Liang:
Polyp Image Detection and Classification Using Deep Learning. ICCE-TW 2022: 455-456 - [c5]Yao-Tien Chen, Hsuan-Fu Wang:
Perfomance Evalution for the FBMC-OQAM in the mobile fading channel. ICCE-TW 2022: 481-482
2010 – 2019
- 2013
- [c4]Yao-Tien Chen:
Level set extraction and volume rendering of anatomical brain tissue from medical volumetric images. ICIMCS 2013: 227-230 - 2010
- [j2]Yao-Tien Chen:
A level set method based on the Bayesian risk for medical image segmentation. Pattern Recognit. 43(11): 3699-3711 (2010) - [c3]Yao-Tien Chen:
Bayesian level set method based on statistical hypothesis test and estimation of prior probabilities for image segmentation. ICDIP 2010: 75461P
2000 – 2009
- 2007
- [j1]Yao-Tien Chen, Din-Chang Tseng:
Wavelet-based medical image compression with adaptive prediction. Comput. Medical Imaging Graph. 31(1): 1-8 (2007) - [c2]Yao-Tien Chen, Din-Chang Tseng:
Medical Image Segmentation Based on the Bayesian Level Set Method. MIMI 2007: 25-34 - 2006
- [c1]Yao-Tien Chen, Din-Chang Tseng, Pao-Chi Chang:
Wavelet-Based Image Compression with Polygon-Shaped Region of Interest. PSIVT 2006: 878-887
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