S. Lo

发表

Steepest changes of a probability-based cost function for delineation of mammographic masses: a validation study.

Lisa M. Kinnard, Paul C. Wang, S. Lo, 2004, Medical physics.

Classification of lung nodules in diagnostic CT: an approach based on 3D vascular features, nodule density distribution, and shape features

Matthew T. Freedman, Shih-Chung Benedict Lo, Li-Yueh Hsu, 2003, SPIE Medical Imaging.

Classification of microcalcifications in radiographs of pathologic specimens for the diagnosis of breast cancer.

R. Zuurbier, S. Mun, S. Lo, 1995 .

Mass segmentation of dense breasts on digitized mammograms: analysis of a probability-based function

Matthew T. Freedman, Shih-Chung Benedict Lo, Mohamed F. Chouikha, 2005, SPIE Medical Imaging.

PE-CMOS based C-scan ultrasound for foreign object detection in soft tissue.

S. Lo, M. Freedman, Y. Wang, 2010, Frontiers in bioscience.

C-scan transmission ultrasound based on a hybrid microelectronic sensor array and its physical performance

Hui Zhao, Matthew T. Freedman, Shih-Chung Benedict Lo, 2001, SPIE Medical Imaging.

Stochastic model and probabilistic decision-based classifier for mass detection in digital mammography

K. J. Ray Liu, Huai Li, Yue Joseph Wang, 1997, Proceedings of International Conference on Image Processing.

Automatic Threshold Selection Using

S. Lo, HistogramQuantizationYue Wang, ulay Adal, 2007 .

Lung nodules: improved detection with software that suppresses the rib and clavicle on chest radiographs.

Shih-Chung Benedict Lo, J. C. Seibel, S. Lo, 2011, Radiology.

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.

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.

Radiological Image Compression

Shih-Chung Benedict Lo, S. Lo, 1986 .

Automatic categorization of mammographic masses using BI-RADS as a guidance

Jianhua Xuan, Matthew T. Freedman, Yimo Tao, 2008, SPIE Medical Imaging.

Computerized radiographic mass detection. II. Decision support by featured database visualization and modular neural networks

K. J. Ray Liu, Huai Li, Yue Joseph Wang, 2001, IEEE Transactions on Medical Imaging.

Convolution neural-network-based detection of lung structures

Matthew T. Freedman, Akira Hasegawa, Seong K. Mun, 1994, Medical Imaging.

Artificial Intelligence for the Future Radiology Diagnostic Service

Kenneth H. Wong, S. Mun, S. Lo, 2021, Frontiers in Molecular Biosciences.

A multiple circular path convolution neural network system for detection of mammographic masses

Huai Li, Yue Joseph Wang, Matthew T. Freedman, 2002, IEEE Transactions on Medical Imaging.

Separation of malignant and benign masses using maximum-likelihood modeling and neural networks

Matthew T. Freedman, Shih-Chung Benedict Lo, Mohamed F. Chouikha, 2002, SPIE Medical Imaging.

Computerized radiographic mass detection. I. Lesion site selection by morphological enhancement and contextual segmentation

K. J. Ray Liu, Huai Li, Yue Joseph Wang, 2001, IEEE Transactions on Medical Imaging.

Performance characteristics of a laser scanner and laser printer system for radiological imaging.

R K Taira, N J Mankovich, H. K. Huang, 1986, Computerized radiology : official journal of the Computerized Tomography Society.

Radiological image compression: full-frame bit-allocation technique.

H. K. Huang, S. Lo, H K Huang, 1985, Radiology.

Computer-aided detection of mammographic microcalcifications: pattern recognition with an artificial neural network.

K L Lam, S C Lo, H P Chan, 1995, Medical physics.

Artificial convolution neural network with wavelet kernels for disease pattern recognition

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

Artificial convolution neural network for medical image pattern recognition

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

Sensitivity of noncommercial computer-aided detection system for mammographic breast cancer detection: pilot clinical trial.

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2004, Radiology.

Projection ultrasound and ultrasound CT using a PE-CMOS sensor: a preliminary study

Matthew T. Freedman, Shih-Chung Benedict Lo, David Rich, 2004, SPIE Medical Imaging.

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.

Classification of microcalcifications in radiographs of pathological specimen for the diagnosis of breast cancer

Akira Hasegawa, Seong K. Mun, Rebecca A. Zuurbier, 1994, Medical Imaging.

Fractal modeling and segmentation for the enhancement of microcalcifications in digital mammograms

K. J. Ray Liu, Huai Li, Shih-Chung Ben Lo, 1997, IEEE Transactions on Medical Imaging.

Digitized mammography: a clinical trial of postmenopausal women randomly assigned to receive raloxifene, estrogen, or placebo.

M. Freedman, S. Lo, J. Zeng, 2001, Journal of the National Cancer Institute.

Academic consortium for the evaluation of computer-aided diagnosis (CADx) in mammography

Dev P. Chakraborty, Berkman Sahiner, Joseph Y. Lo, 1995, Medical Imaging.

Likelihood function analysis for segmentation of mammographic masses for various margin groups

Matthew T. Freedman, Mohamed F. Chouikha, Lisa M. Kinnard, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Separation of malignant and benign masses using image and segmentation features

Matthew T. Freedman, Shih-Chung Benedict Lo, Mohamed F. Chouikha, 2003, SPIE Medical Imaging.

Quality assurance and training procedures for computer-aided detection and diagnosis systems in clinical use.

Hiroyuki Yoshida, Berkman Sahiner, Heang-Ping Chan, 2013, Medical physics.

Contrast information of digital imaging in laser film digitizer and display monitor

Shih-Chung B. Lo, Seong K. Mun, Jerry W. Gaskill, 1990, Journal of Digital Imaging.

Image Information in Film Digitization and Display Monitor - Implications for Teleradiology

Shih-Chung Benedict Lo, Seong Ki Mun, Jerry W. Gaskill, 1989, 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.

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..

PE-CMOS-based C-mode ultrasound: signal acquisition and time gating

Matthew T. Freedman, Bob Lasser, Shih-Chung B. Lo, 2009, Medical Imaging.

Projection-reflection ultrasound images using PE-CMOS sensor: a preliminary bone fracture study

Matthew T. Freedman, Bob Lasser, Marvin E. Lasser, 2008, SPIE Medical Imaging.

Investigation of foreign objects in soft-tissue using a PE-CMOS ultrasound system: a preliminary comparative study

Matthew T. Freedman, Bob Lasser, Marvin E. Lasser, 2006, SPIE Medical Imaging.

Transmission and reflective ultrasound images using PE-CMOS sensor array

Yue Wang, Matthew T. Freedman, Shih-Chung Benedict Lo, 2005, SPIE Medical Imaging.

Computer-aided detection of lung cancer on chest radiographs: differences in the interpretation time of radiologist's showing vs. not showing improvement with CAD

Jesse Lin, Matthew T. Freedman, Shih-Chung Benedict Lo, 2003, SPIE Medical Imaging.

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.

Radiological image compression: image characteristics and clinical considerations

Huai Li, Matthew T. Freedman, Seong Ki Mun, 1994, 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..

A preliminary study of content-based mammographic masses retrieval

Jianhua Xuan, Matthew T. Freedman, Yimo Tao, 2007, SPIE Medical Imaging.

A Mammography Database and View System for African-American Patients

Jianchao Zeng, Mohamed F. Chouikha, Ahmed Jendoubi, 2004, 33rd Applied Imagery Pattern Recognition Workshop (AIPR'04).

Image processing in digital mammography

Matthew T. Freedman, Seong Ki Mun, Shih-Chung Benedict Lo, 1994, Medical Imaging.

Changes of nodule detection after radiologists read bone opacity suppressed chest radiography

Shih-Chung B. Lo, Matthew T. Freedman, S. Lo, 2012, Medical Imaging.

Optimization of wavelet decomposition for image compression and feature preservation

Huai Li, Matthew T. Freedman, Shih-Chung Ben Lo, 2003, IEEE Transactions on Medical Imaging.

Test of radiologist performance in interpreting bedside chest examinations on a workstation

Steven C. Horii, Matthew T. Freedman, Shih-Chung B. Lo, 1992, Medical Imaging.

Full-frame entropy coding for radiological image compression

Steven C. Horii, Seong Ki Mun, Shih-Chung Benedict Lo, 1991, Medical Imaging.