Automatic lung nodule detection using profile matching and back-propagation neural network techniques. - Shih-Chung Ben Lo; Matthew T. Freedman; Jyh-Shyan Lin; Seong Ki Mun (J. Digit. Imaging, 1993)

A hybrid neural-digital computer-aided diagnosis system for lung nodule detection on digitized chest radiographs. - Jyh-Shyan Lin; Panos A. Ligomenides; Shih-Chung Ben Lo; Matthew T. Freedman; Seong Ki Mun (CBMS, 1994)

Differentiation between nodules and end-on vessels using a convolution neural network architecture. - Jyh-Shyan Lin; Akira Hasegawa; Matthew T. Freedman; Seong Ki Mun (J. Digit. Imaging, 1995)

Artificial convolution neural network for medical image pattern recognition. - Shih-Chung Ben Lo; Heang-Ping Chan; Jyh-Shyan Lin; Huai Li; Matthew T. Freedman; Seong Ki Mun (Neural Networks, 1995)

Artificial convolution neural network techniques and applications for lung nodule detection. - Shih-Chung Ben Lo; Shyh-Liang A. Lou; Jyh-Shyan Lin; Matthew T. Freedman; Minze V. Chien; Seong Ki Mun (IEEE Trans. Medical Imaging, 1995)

Region-based enhancement of digital chest radiographs. - Jyh-Shyan Lin; Shih-Chung Ben Lo; Huai Li; Matthew T. Freedman; Seong Ki Mun (ICASSP, 1996)

Digital mammography in the radio-dense and complex pattern breast. - Matthew T. Freedman; Dorothy E. Steller Artz; Hamid Jafroudi; Jacquelyn P. Hogge; Rebecca A. Zuurbier; Jyh-Shyan Lin; Raj Katial; Seong Ki Mun (Image Processing, 1996)

Region-based enhancement of chest and cervical spine radiographs. - Jyh-Shyan Lin; Dorothy E. Steller Artz; Huai Li; Kevin Legendre; Matthew T. Freedman; Seong Ki Mun (Image Processing, 1996)

Detection of clustered microcalcifications using fuzzy modeling and convolution neural network. - Shih-Chung Benedict Lo; Huai Li; Jyh-Shyan Lin; Akira Hasegawa; Osamu Tsujii; Matthew T. Freedman; Seong Ki Mun (Image Processing, 1996)

Reduction of false positives in lung nodule detection using a two-level neural classification. - Jyh-Shyan Lin; Shih-Chung Ben Lo; Akira Hasegawa; Matthew T. Freedman; Seong Ki Mun (IEEE Trans. Medical Imaging, 1996)

A Shift-Invariant Neural Network for the Lung Field Segmentation in Chest Radiography. - Akira Hasegawa; Shih-Chung Ben Lo; Jyh-Shyan Lin; Matthew T. Freedman; Seong Ki Mun (J. VLSI Signal Process., 1998)

Application of Artificial Neural Networks to Medical Image Pattern Recognition: Detection of Clustered Microcalcifications on Mammograms and Lung Cancer on Chest Radiographs. - Shih-Chung Ben Lo; Jyh-Shyan Lin; Matthew T. Freedman; Seong Ki Mun (J. VLSI Signal Process., 1998)

Feature analysis of lung nodules using sector geometry and multiple circular path neural network. - Shih-Chung Benedict Lo; Matthew T. Freedman; Jyh-Shyan Lin; Xin-Wei Xu; Andrzej Delegacz (Image Processing, 1999)

Digital watermarking based on neural networks for color images. - Pao-Ta Yu; Hung-Hsu Tsai; Jyh-Shyan Lin (Signal Process., 2001)

Computer-aided detection of Severe Acute Respiratory Syndrome (SARS) on chest radiography. - Matthew T. Freedman; Shih-Chung Ben Lo; Y. M. Fleming Lure; Hui Zhao 015; Jyh-Shyan Lin; Michael Yeh (CARS, 2004)

New simple constructions of distance-increasing mappings from binary vectors to permutations. - Jyh-Shyan Lin; Jen-Chun Chang; Rong-Jaye Chen (Inf. Process. Lett., 2006)

Distance preserving mappings from ternary vectors to permutations - Jyh-Shyan Lin; Jen-Chun Chang; Rong-Jaye Chen; Torleiv Kløve (CoRR, 2007)

Distance-Preserving and Distance-Increasing Mappings From Ternary Vectors to Permutations. - Jyh-Shyan Lin; Jen-Chun Chang; Rong-Jaye Chen; Torleiv Kløve (IEEE Trans. Inf. Theory, 2008)

An Analysis of Hierarchical Identity-Based Cryptosystems. - Jyh-Shyan Lin; Fu-Kuo Tseng; Rong-Jaye Chen (FCS, 2009)

LocalSense: An Infrastructure-Mediated Sensing Method for Locating Appliance Usage Events in Homes. - Hung-Yuan Chen; Chien-Liang Lai; Huan Chen 002; Lun-Chia Kuo; Hsi-Chuan Chen; Jyh-Shyan Lin; Yao-Chung Fan (ICPADS, 2013)