Jyh-Shyan Lin

Publication Activity (10 Years)

Years Active: 1993-2013
Publications (10 Years): 0

Top Topics

Clustering Method

Support Vector Machine Svm

Top Venues

Publications

Hung-Yuan Chen, Chien-Liang Lai, Huan Chen, Lun-Chia Kuo, Hsi-Chuan Chen, Jyh-Shyan Lin, Yao-Chung Fan
LocalSense: An Infrastructure-Mediated Sensing Method for Locating Appliance Usage Events in Homes. ICPADS (2013)
Jyh-Shyan Lin, Fu-Kuo Tseng, Rong-Jaye Chen
An Analysis of Hierarchical Identity-Based Cryptosystems. FCS (2009)
Jyh-Shyan Lin, Jen-Chun Chang, Rong-Jaye Chen, Torleiv Kløve
Distance-Preserving and Distance-Increasing Mappings From Ternary Vectors to Permutations. IEEE Trans. Inf. Theory 54 (3) (2008)
Jyh-Shyan Lin, Jen-Chun Chang, Rong-Jaye Chen, Torleiv Kløve
Distance preserving mappings from ternary vectors to permutations CoRR (2007)
Jyh-Shyan Lin, Jen-Chun Chang, Rong-Jaye Chen
New simple constructions of distance-increasing mappings from binary vectors to permutations. Inf. Process. Lett. 100 (2) (2006)
Matthew T. Freedman, Shih-Chung Ben Lo, Y. M. Fleming Lure, Hui Zhao, Jyh-Shyan Lin, Michael Yeh
Computer-aided detection of Severe Acute Respiratory Syndrome (SARS) on chest radiography. CARS (2004)
Pao-Ta Yu, Hung-Hsu Tsai, Jyh-Shyan Lin
Digital watermarking based on neural networks for color images. Signal Process. 81 (3) (2001)
Shih-Chung Benedict Lo, Matthew T. Freedman, Jyh-Shyan Lin, Xin-Wei Xu, Andrzej Delegacz
Feature analysis of lung nodules using sector geometry and multiple circular path neural network. Medical Imaging: Image Processing (1999)
Akira Hasegawa, Shih-Chung Ben Lo, Jyh-Shyan Lin, Matthew T. Freedman, Seong Ki Mun
A Shift-Invariant Neural Network for the Lung Field Segmentation in Chest Radiography. J. VLSI Signal Process. 18 (3) (1998)
Shih-Chung Ben Lo, Jyh-Shyan Lin, Matthew T. Freedman, Seong Ki Mun
Application of Artificial Neural Networks to Medical Image Pattern Recognition: Detection of Clustered Microcalcifications on Mammograms and Lung Cancer on Chest Radiographs. J. VLSI Signal Process. 18 (3) (1998)
Shih-Chung Benedict Lo, Huai Li, Jyh-Shyan Lin, Akira Hasegawa, Osamu Tsujii, Matthew T. Freedman, Seong Ki Mun
Detection of clustered microcalcifications using fuzzy modeling and convolution neural network. Medical Imaging: Image Processing (1996)
Matthew T. Freedman, Dorothy E. Steller Artz, Hamid Jafroudi, Jacquelyn P. Hogge, Rebecca A. Zuurbier, Jyh-Shyan Lin, Raj Katial, Seong Ki Mun
Digital mammography in the radio-dense and complex pattern breast. Medical Imaging: Image Processing (1996)
Jyh-Shyan Lin, Shih-Chung Ben Lo, Akira Hasegawa, Matthew T. Freedman, Seong Ki Mun
Reduction of false positives in lung nodule detection using a two-level neural classification. IEEE Trans. Medical Imaging 15 (2) (1996)
Jyh-Shyan Lin, Shih-Chung Ben Lo, Huai Li, Matthew T. Freedman, Seong Ki Mun
Region-based enhancement of digital chest radiographs. ICASSP (1996)
Jyh-Shyan Lin, Dorothy E. Steller Artz, Huai Li, Kevin Legendre, Matthew T. Freedman, Seong Ki Mun
Region-based enhancement of chest and cervical spine radiographs. Medical Imaging: Image Processing (1996)
Jyh-Shyan Lin, Akira Hasegawa, Matthew T. Freedman, Seong Ki Mun
Differentiation between nodules and end-on vessels using a convolution neural network architecture. J. Digit. Imaging 8 (3) (1995)
Shih-Chung Ben Lo, Heang-Ping Chan, Jyh-Shyan Lin, Huai Li, Matthew T. Freedman, Seong Ki Mun
Artificial convolution neural network for medical image pattern recognition. Neural Networks 8 (7-8) (1995)
Shih-Chung Ben Lo, Shyh-Liang A. Lou, Jyh-Shyan Lin, Matthew T. Freedman, Minze V. Chien, Seong Ki Mun
Artificial convolution neural network techniques and applications for lung nodule detection. IEEE Trans. Medical Imaging 14 (4) (1995)
Jyh-Shyan Lin, Panos A. Ligomenides, Shih-Chung Ben Lo, Matthew T. Freedman, Seong Ki Mun
A hybrid neural-digital computer-aided diagnosis system for lung nodule detection on digitized chest radiographs. CBMS (1994)
Shih-Chung Ben Lo, Matthew T. Freedman, Jyh-Shyan Lin, Seong Ki Mun
Automatic lung nodule detection using profile matching and back-propagation neural network techniques. J. Digit. Imaging 6 (1) (1993)