Wei-Wen Hsu

According to our database, Wei-Wen Hsu authored at least 14 papers between 2014 and 2023.

Collaborative distances:

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

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

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

Improving Regularization of Deep Learning Models in Fundus Analysis.

Wei-Wen Hsu, Yao-Chung Chang, Wei-Min Lee, Yu-Chuan Huang, Da-Wen Lu

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

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, Yao-Chung Chang

Sensors, 2022

Two-stage Cascaded CNN Model for 3D Mitochondria EM Segmentation.

Wei-Wen Hsu, Jing-Ming Guo, Jia-Hao Liu, Yao-Chung Chang

Proceedings of the IEEE International Conference on Imaging Systems and Techniques, 2022

2021

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, Xueli Zhang, Tao He, Yanhong Tai

CoRR, 2021

2020

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

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019

Using Feature Extraction From Deep Convolutional Neural Networks for Pathological Image Analysis and Its Visual Interpretability.

Wei-Wen Hsu

PhD thesis, 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, Xueli Zhang, Jingjing Wang, Tao He, Yanghong Tai

CoRR, 2019

Brain Tumor Classification Using 3D Convolutional Neural Network.

Linmin Pei, Lasitha Vidyaratne, Wei-Wen Hsu, Md Monibor Rahman, Khan M. Iftekharuddin

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2016

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

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

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

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

Proceedings of the 2015 IEEE International Conference on Systems, 2015

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

Proceedings of the 2015 International Conference on Healthcare Informatics, 2015

2014

The first step toward reconstructing visual perception and cognition in Autism.

Chung-Hao Chen, Jonna Bobzien, Ann Bruhn, Min Zhang, Wei-Wen Hsu

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014