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Wei-Wen Hsu
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2020 – today
- 2024
- [j3]Wei-Wen Hsu, Yongfang Wu, Chung-Hao Chen, Chang Hao, Yu-Ling Hou, Xiang Gao, Yun Shao, Xueli Zhang, Tao He, Yanhong Tai:
A computer-aided diagnosis system for breast pathology: a deep learning approach with model interpretability from pathological perspective. Serv. Oriented Comput. Appl. 18(2): 183-193 (2024) - 2023
- [c9]Wei-Wen Hsu, Yao-Chung Chang, Wei-Min Lee, Yu-Chuan Huang, Da-Wen Lu:
Improving Regularization of Deep Learning Models in Fundus Analysis. APSIPA ASC 2023: 898-901 - [c8]Wei-Wen Hsu, Jia-Yi Lin, Hsin-Hung Lai, Wan-Lin Hsu, Jeng-Ting Jiang, Yao-Chung Chang, Yao-Feng Li:
The Development of an AI-assisted Diagnosis System for Adult Glioma Subtyping Prediction. APSIPA ASC 2023: 918-921 - 2022
- [j2]Wei-Wen Hsu
, Jing-Ming Guo
, Chien-Yu Chen, Yao-Chung Chang:
Fall Detection with the Spatial-Temporal Correlation Encoded by a Sequence-to-Sequence Denoised GAN. Sensors 22(11): 4194 (2022) - [c7]Wei-Wen Hsu, Jing-Ming Guo, Jia-Hao Liu, Yao-Chung Chang:
Two-stage Cascaded CNN Model for 3D Mitochondria EM Segmentation. IST 2022: 1-5 - 2021
- [i2]Wei-Wen Hsu, Yongfang Wu, Chang Hao, Yu-Ling Hou, Xiang Gao, Yun Shao, Xueli Zhang, Tao He, Yanhong Tai:
A Computer-Aided Diagnosis System for Breast Pathology: A Deep Learning Approach with Model Interpretability from Pathological Perspective. CoRR abs/2108.02656 (2021) - 2020
- [c6]Linmin Pei
, Wei-Wen Hsu, Ling-An Chiang, Jing-Ming Guo, Khan M. Iftekharuddin, Rivka Colen:
A Hybrid Convolutional Neural Network Based-Method for Brain Tumor Classification Using mMRI and WSI. BrainLes@MICCAI (2) 2020: 487-496
2010 – 2019
- 2019
- [b1]Wei-Wen Hsu:
Using Feature Extraction From Deep Convolutional Neural Networks for Pathological Image Analysis and Its Visual Interpretability. Old Dominion University, Norfolk, Virginia, USA, 2019 - [c5]Linmin Pei
, Lasitha Vidyaratne, Wei-Wen Hsu, Md Monibor Rahman, Khan M. Iftekharuddin:
Brain Tumor Classification Using 3D Convolutional Neural Network. BrainLes@MICCAI (2) 2019: 335-342 - [i1]Wei-Wen Hsu, Chung-Hao Chen, Chang Hoa, Yu-Ling Hou, Xiang Gao, Yun Shao, Xueli Zhang, Jingjing Wang, Tao He, Yanghong Tai:
Understanding the Mechanism of Deep Learning Framework for Lesion Detection in Pathological Images with Breast Cancer. CoRR abs/1903.01214 (2019) - 2016
- [c4]Wei-Wen Hsu, Min Zhang, Chung-Hao Chen, Wen-Chao Yang:
The use of deep learning and mean shift to learn global and local processing in human visual perception. SMC 2016: 2139-2144 - 2015
- [j1]Chung-Hao Chen, Yi Yao, Wei-Wen Hsu, Andreas F. Koschan, Mongi A. Abidi:
Continuous camera placement using multiple objective optimisation process. IET Comput. Vis. 9(3): 340-353 (2015) - [c3]Chung-Hao Chen, Jonna Bobzien, Michail N. Giannakos
, Ann Bruhn, Alexis Bruggeman, Shahram Mohrehkesh, Min Zhang, Wei-Wen Hsu, Nikos P. Chrisochoides:
Familiar Video Stories as a Means for Children with Autism: An Analytics Approach. ICHI 2015: 368-373 - [c2]Wei-Wen Hsu, Min Zhang, Chung-Hao Chen, Jonna Bobzien, Chien-Te Wu
, Yi-Hung Liu:
A Puzzle-Based Tool to Study Individualized Perception Reactions for Children with Autism. SMC 2015: 682-686 - 2014
- [c1]Chung-Hao Chen, Jonna Bobzien, Ann Bruhn, Min Zhang, Wei-Wen Hsu:
The first step toward reconstructing visual perception and cognition in Autism. SMC 2014: 1171-1174
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