Jyh-Shyan Lin

发表

Feature analysis of lung nodules using sector geometry and multiple circular path neural network

Matthew T. Freedman, Shih-Chung Benedict Lo, Xin-Wei Xu, 1999, Medical Imaging.

Detection of clustered microcalcifications using fuzzy modeling and convolution neural network

Huai Li, Matthew T. Freedman, Akira Hasegawa, 1996, Medical Imaging.

Digital watermarking based on neural networks for color images

Pao-Ta Yu, Hung-Hsu Tsai, Jyh-Shyan Lin, 2001, Signal Process..

Distance-Preserving and Distance-Increasing Mappings From Ternary Vectors to Permutations

Torleiv Kløve, Jyh-Shyan Lin, Jen-Chun Chang, 2008, IEEE Transactions on Information Theory.

Digital mammography: tradeoffs between 50- and 100-micron pixel size

Matthew T. Freedman, Jyh-Shyan Lin, Seong K. Mun, 1995, Medical Imaging.

LocalSense: An Infrastructure-Mediated Sensing Method for Locating Appliance Usage Events in Homes

Chien-Liang Lai, Huan Chen, Yao-Chung Fan, 2013, 2013 International Conference on Parallel and Distributed Systems.

Reduction of false positives in lung nodule detection using a two-level neural classification

Matthew T. Freedman, Akira Hasegawa, Seong Ki Mun, 1996, IEEE Trans. Medical Imaging.

A Shift-Invariant Neural Network for the Lung Field Segmentation in Chest Radiography

Matthew T. Freedman, Akira Hasegawa, Seong Ki Mun, 1998, J. VLSI Signal Process..

Artificial convolution neural network techniques and applications for lung nodule detection

Matthew T. Freedman, Seong Ki Mun, Jyh-Shyan Lin, 1995, IEEE Trans. Medical Imaging.

A hybrid time series model based on AR-EMD and volatility for medical data forecasting: A case study in the emergency department

Jyh-Shyan Lin, Deng-Yang Huang, Liang-Ying Wei, 2017 .

Region-based enhancement of digital chest radiographs

Huai Li, Matthew T. Freedman, Seong Ki Mun, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

Convolution neural network architecture with application for lung nodule detection in digital chest radiography

Jyh-Shyan Lin, Jyh-Shyan Lin, 1995 .

Artificial convolution neural network with wavelet kernels for disease pattern recognition

Huai Li, Matthew T. Freedman, Akira Hasegawa, 1995, Medical Imaging.

Cloud Data Storage with Group Collaboration Supports

Jyh-Shyan Lin, Jyh-Shyan Lin, 2011, NDT 2011.

Application of artificial neural networks for reducing false positives in lung nodule detection on digital chest radiographs

Matthew T. Freedman, Shih-Chung Benedict Lo, Seong Ki Mun, 1995, Medical Imaging.

Artificial convolution neural network for medical image pattern recognition

Huai Li, Heang-Ping Chan, Matthew T. Freedman, 1995, Neural Networks.

Cloud Data Storage for Group Collaborations

Jyh-Shyan Lin, 2010 .

Digital mammography: the effects of decreased exposure

Matthew T. Freedman, Jyh-Shyan Lin, Seong K. Mun, 1995, Medical Imaging.

Computer-aided detection of Severe Acute Respiratory Syndrome (SARS) on chest radiography

Matthew T. Freedman, Jyh-Shyan Lin, Shih-Chung Ben Lo, 2004, International Congress Series.

Application of Artificial Neural Networks to Medical Image Pattern Recognition: Detection of Clustered Microcalcifications on Mammograms and Lung Cancer on Chest Radiographs

Matthew T. Freedman, Seong Ki Mun, Jyh-Shyan Lin, 1998, J. VLSI Signal Process..

Design-based approach to ethics in computer-aided diagnosis

Matthew T. Freedman, Seong Ki Mun, Jyh-Shyan Lin, 1996, Medical Imaging.

A Group Collaboratable Proof of Retrievability Scheme for Cloud Data Storage

Jyh-Shyan Lin, Chao-Hsing Hsu, Kuo-Hsiung Liao, 2014, BIOINFORMATICS 2014.

Differentiation between nodules and end-on vessels using a convolution neural network architecture

Matthew T. Freedman, Akira Hasegawa, Seong Ki Mun, 1995, Journal of Digital Imaging.

LocalSense: An Infrastructure-Mediated Sensing Method for Locating Appliance Usage Events in Homes

Chien-Liang Lai, Hung-Yuan Chen, Yao-Chung Fan, 2013, ICPADS 2013.

Digital mammography in the radio-dense and complex pattern breast

Matthew T. Freedman, Seong Ki Mun, Jyh-Shyan Lin, 1996, Medical Imaging.

An Analysis of Hierarchical Identity-Based Cryptosystems

Fu-Kuo Tseng, Jyh-Shyan Lin, Rong-Jaye Chen, 2009, FCS.

A hybrid neural-digital computer-aided diagnosis system for lung nodule detection on digitized chest radiographs

Matthew T. Freedman, Seong Ki Mun, Jyh-Shyan Lin, 1994, Proceedings of IEEE Symposium on Computer-Based Medical Systems (CBMS).

New simple constructions of distance-increasing mappings from binary vectors to permutations

Jyh-Shyan Lin, Jen-Chun Chang, Rong-Jaye Chen, 2006, Inf. Process. Lett..

Performance characteristics of high-resolution charge-coupled device film digitizers

Huai Li, Matthew T. Freedman, Shih-Chung Benedict Lo, 1995, Medical Imaging.

Computer-assisted diagnosis of lung nodule detection using artificial convoultion neural network

Matthew T. Freedman, Seong Ki Mun, Shih-Chung Benedict Lo, 1993 .

Region-based enhancement of chest and cervical spine radiographs

Huai Li, Matthew T. Freedman, Seong Ki Mun, 1996, Medical Imaging.

Automatic lung nodule detection using profile matching and back-propagation neural network techniques

Matthew T. Freedman, Seong Ki Mun, Jyh-Shyan Lin, 1993, Journal of Digital Imaging.

A Study of the Hybrid Recurrent Neural Network Model for Electricity Loads Forecasting

Chih-Hung Tsai, Jyh-Shyan Lin, Liang-Ying Wei, 2017 .

Computer-assisted diagnosis for lung nodule detection using a neural network technique

Matthew T. Freedman, Seong Ki Mun, Shih-Chung Benedict Lo, 1992, Medical Imaging.

Thermophoretic Deposition of Particles in Laminar and Turbulent Tube Flows

Jyh-Shyan Lin, Shankar G. Aggarwal, Chuen-Jinn Tsai, 2004 .