Wavelet-Based Image Compression with Polygon-Shaped Region of Interest. - Yao-Tien Chen; Din-Chang Tseng; Pao-Chi Chang (PSIVT, 2006)

Medical Image Segmentation Based on the Bayesian Level Set Method. - Yao-Tien Chen; Din-Chang Tseng (MIMI, 2007)

Wavelet-based medical image compression with adaptive prediction. - Yao-Tien Chen; Din-Chang Tseng (Comput. Medical Imaging Graph., 2007)

Bayesian level set method based on statistical hypothesis test and estimation of prior probabilities for image segmentation. - Yao-Tien Chen (ICDIP, 2010)

A level set method based on the Bayesian risk for medical image segmentation. - Yao-Tien Chen (Pattern Recognit., 2010)

Level set extraction and volume rendering of anatomical brain tissue from medical volumetric images. - Yao-Tien Chen (ICIMCS, 2013)

Polyp Image Detection and Classification Using Deep Learning. - Yao-Tien Chen; Nisar Ahmad; Jin-Wei Liang (ICCE-TW, 2022)

Perfomance Evalution for the FBMC-OQAM in the mobile fading channel. - Yao-Tien Chen; Hsuan-Fu Wang (ICCE-TW, 2022)

UNet-based Automatic Multicalss Brain Tissue Segmentation. - Nisar Ahmad; Yao-Tien Chen (ICCE-Taiwan, 2023)

Colorectal Polyp Detection and Comparative Evaluation Based on Deep Learning Approaches. - Yao-Tien Chen; Nisar Ahmad (IEEE Access, 2023)

3D Brain Tumor Segmentation in Multimodal MRI Images. - Nisar Ahmad; Yao-Tien Chen (ICCE-Taiwan, 2024)

Colorectal Polyp Detection and Classification using Deep Learning Techniques. - Yao-Tien Chen; Nisar Ahmad; Chi-Che Hong; M. David Honesty (ICCE-Taiwan, 2024)

Eff-SAM: SAM-Based Efficient Method for Brain Tumor Segmentation in Multimodal 3D MRI Scans. - Nisar Ahmad; Yao-Tien Chen (IEEE Access, 2025)