The first step toward reconstructing visual perception and cognition in Autism. - Chung-Hao Chen; Jonna Bobzien; Ann Bruhn; Min Zhang; Wei-Wen Hsu (SMC, 2014)

Familiar Video Stories as a Means for Children with Autism: An Analytics Approach. - Chung-Hao Chen; Jonna Bobzien; Michail N. Giannakos; Ann Bruhn; Alexis Bruggeman; Shahram Mohrehkesh; Min Zhang; Wei-Wen Hsu; Nikos P. Chrisochoides (ICHI, 2015)

A Puzzle-Based Tool to Study Individualized Perception Reactions for Children with Autism. - Wei-Wen Hsu; Min Zhang; Chung-Hao Chen; Jonna Bobzien; Chien-Te Wu; Yi-Hung Liu (SMC, 2015)

Continuous camera placement using multiple objective optimisation process. - Chung-Hao Chen; Yi Yao; Wei-Wen Hsu; Andreas F. Koschan; Mongi A. Abidi (IET Comput. Vis., 2015)

The use of deep learning and mean shift to learn global and local processing in human visual perception. - Wei-Wen Hsu; Min Zhang; Chung-Hao Chen; Wen-Chao Yang (SMC, 2016)

Brain Tumor Classification Using 3D Convolutional Neural Network. - Linmin Pei; Lasitha Vidyaratne; Wei-Wen Hsu; Md Monibor Rahman; Khan M. Iftekharuddin (BrainLes@MICCAI (2), 2019)

Understanding the Mechanism of Deep Learning Framework for Lesion Detection in Pathological Images with Breast Cancer. - Wei-Wen Hsu; Chung-Hao Chen; Chang Hoa; Yu-Ling Hou; Xiang Gao; Yun Shao 005; Xueli Zhang; Jingjing Wang; Tao He; Yanghong Tai (CoRR, 2019)

Using Feature Extraction From Deep Convolutional Neural Networks for Pathological Image Analysis and Its Visual Interpretability. - Wei-Wen Hsu (2019)

A Hybrid Convolutional Neural Network Based-Method for Brain Tumor Classification Using mMRI and WSI. - Linmin Pei; Wei-Wen Hsu; Ling-An Chiang; Jing-Ming Guo; Khan M. Iftekharuddin; Rivka Colen (BrainLes@MICCAI (2), 2020)

A Computer-Aided Diagnosis System for Breast Pathology: A Deep Learning Approach with Model Interpretability from Pathological Perspective. - Wei-Wen Hsu; Yongfang Wu; Chang Hao; Yu-Ling Hou; Xiang Gao; Yun Shao 005; Xueli Zhang; Tao He; Yanhong Tai (CoRR, 2021)

Two-stage Cascaded CNN Model for 3D Mitochondria EM Segmentation. - Wei-Wen Hsu; Jing-Ming Guo; Jia-Hao Liu; Yao-Chung Chang (IST, 2022)

Fall Detection with the Spatial-Temporal Correlation Encoded by a Sequence-to-Sequence Denoised GAN. - Wei-Wen Hsu; Jing-Ming Guo; Chien-Yu Chen 003; Yao-Chung Chang (Sensors, 2022)

Improving Regularization of Deep Learning Models in Fundus Analysis. - Wei-Wen Hsu; Yao-Chung Chang; Wei-Min Lee; Yu-Chuan Huang; Da-Wen Lu (APSIPA ASC, 2023)

The Development of an AI-assisted Diagnosis System for Adult Glioma Subtyping Prediction. - Wei-Wen Hsu; Jia-Yi Lin; Hsin-Hung Lai; Wan-Lin Hsu; Jeng-Ting Jiang; Yao-Chung Chang; Yao-Feng Li (APSIPA ASC, 2023)

A computer-aided diagnosis system for breast pathology: a deep learning approach with model interpretability from pathological perspective. - Wei-Wen Hsu; Yongfang Wu; Chung-Hao Chen; Chang Hao; Yu-Ling Hou; Xiang Gao; Yun Shao 005; Xueli Zhang; Tao He; Yanhong Tai (Serv. Oriented Comput. Appl., 2024)