Matthew T. Freedman

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Application of neural network based hybrid system for lung nodule detection

Y.-S. Peter Chiou, Y. M. Fleming Lure, Matthew T. Freedman, 1993, [1993] Computer-Based Medical Systems-Proceedings of the Sixth Annual IEEE Symposium.

Image reconstruction of arc cone-beam CT with reprojection: a preliminary study

Matthew T. Freedman, Shih-Chung Benedict Lo, 2013, Medical Imaging.

Finite-element deformable sheet-curve models for registration of breast MR images

Jianhua Xuan, Yue Joseph Wang, Matthew T. Freedman, 2003, SPIE Medical Imaging.

Mammographic mass detection by stochastic modeling and a multimodular neural network

Huai Li, Yue Joseph Wang, Matthew T. Freedman, 1997, Medical Imaging.

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.

ROC study of screen-film mammography and storage phosphor digital mammography: analysis of nonconcordant classifications and implications for the approval of digital mammography systems

Matthew T. Freedman, Shih-Chung Benedict Lo, Seong Ki Mun, 1997, Medical Imaging.

Independent versus sequential reading in ROC studies of computer-assist modalities

Robert M. Nishikawa, Kunio Doi, Matthew T. Freedman, 2002, SPIE Medical Imaging.

Hierarchical probabilistic principal component subspaces for data visualization

Sun-Yuan Kung, Yue Joseph Wang, Matthew T. Freedman, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Comparison of conventional magnification mammography using film screen mammography and electronic magnification

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

Rat Mammary Gland Analysis in T1 Weighted MR Images

Bin Wang, Jianhua Xuan, Yue Joseph Wang, 2007, MVA.

Methods for identifying changes in radiologists' behavioral operating point of sensitivity-specificity trade-offs within an ROC study of the use of computer-aided detection of lung cancer

Jesse Lin, Matthew T. Freedman, Shih-Chung Benedict Lo, 2001, SPIE Medical Imaging.

Mixture of principal axes registration: a neural computation approach

Jianhua Xuan, Yue Joseph Wang, Kun Huang, 2002, SPIE Medical Imaging.

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

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

Quantitative ultrasound images generated by a PE-CMOS sensor array: scatter modeling and image restoration

Matthew T. Freedman, Bob Lasser, Marvin E. Lasser, 2007, SPIE Medical Imaging.

MDIS Compatibility: Computer Assisted Quality Control and Telemammography (Breast Cancer)

Matthew T. Freedman, 1994 .

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

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

Lung contour detection in chest radiographs using 1-D convolution neural networks

Matthew T. Freedman, Seong Ki Mun, Osamu Tsujii, 1999, J. Electronic Imaging.

Extraction of rounded and line objects for the improvement of medical image pattern recognition

Matthew T. Freedman, S.-C.B. Lo, M. Chien, 1994, Proceedings of 1994 IEEE Nuclear Science Symposium - NSS'94.

Multimedia medical archiving system

Matthew T. Freedman, Arun K. Sood, George C. Atallah, 1995, Other Conferences.

Characterization of pulmonary nodules on computer tomography (CT) scans: the effect of additive white noise on features selection and classification performance

Matthew T. Freedman, Farid Ahmed, Teresa Osicka, 2007, SPIE Medical Imaging.

Adaptive-sized neural-networks-based computer-aided diagnosis of microcalcifications

Matthew T. Freedman, Akira Hasegawa, Seong Ki Mun, 1995, Medical Imaging.

Enhanced lung cancer detection in temporal subtraction chest radiography using directional edge filtering techniques

Yue Joseph Wang, Matthew T. Freedman, Shih-Chung Benedict Lo, 2002, SPIE Medical Imaging.

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.

Computer-aided detection of lung cancer on chest radiographs: effect of machine CAD false-positive locations on radiologists' behavior

Matthew T. Freedman, Shih-Chung Benedict Lo, Xin-Wei Xu, 2002, SPIE Medical Imaging.

A preliminary study of content-based mammographic masses retrieval

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

Multimodality medical image fusion: probabilistic quantification, segmentation, and registration

Yue Joseph Wang, Matthew T. Freedman, Seong Ki Mun, 1998, Medical Imaging.

Computer aided detection of lung cancer in the absence of the cancer on chest radiographs: effect of the computer-aided detection on radiologists' performance on cancer-free cases

Jesse Lin, Matthew T. Freedman, Shih-Chung Benedict Lo, 2005, SPIE Medical Imaging.

Radiological image compression: image characteristics and clinical considerations

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

Probabilistic principal component subspaces: a hierarchical finite mixture model for data visualization

Sun-Yuan Kung, Yue Joseph Wang, Matthew T. Freedman, 2000, IEEE Trans. Neural Networks Learn. Syst..

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).

Optimization of orthonormal wavelet decomposition: implication of data accuracy, feature preservation, and compression effects

Huai Li, Yue Joseph Wang, Matthew T. Freedman, 1996, Medical Imaging.

Rat Mammary Fat Pad Segmentation and Growth Rate Evaluation in T1 Weighted MR Images

Bin Wang, Jianhua Xuan, Yue Joseph Wang, 2007, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.

Non-Rigid Image Registration by Neural Computation

Jianhua Xuan, Yue Joseph Wang, Charles C. Nguyen, 2004, J. VLSI Signal Process..

Directional edge registration for temporal chest image subtraction

Matthew T. Freedman, Shih-Chung Ben Lo, Hui Zhao, 2001, Proceedings 30th Applied Imagery Pattern Recognition Workshop (AIPR 2001). Analysis and Understanding of Time Varying Imagery.

Clinical Comparison of Full Breast Storage Phosphor Digital Mammography and Film-Screen Mammography - A Receiver Operating Characteristic Study

Matthew T. Freedman, Seong Ki Mun, Rebecca A. Zuurbier, 1998, Digital Mammography / IWDM.

Classification of microcalcifications in digital mammograms for the diagnosis of breast cancer

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

Classification of false-positive findings on computer-aided detection of breast microcalcifications

Matthew T. Freedman, Shih-Chung Benedict Lo, Seong Ki Mun, 1997, 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.

Transformationally Identical and Invariant Convolutional Neural Networks through Symmetric Element Operators pdf

Matthew T. Freedman, Shuo Gu, Seong Ki Mun, 2018, ArXiv.

Stereo-vision system for finger tracking in breast self-examination

Yue Joseph Wang, Matthew T. Freedman, Seong Ki Mun, 1997, Medical Imaging.

Comparison of musculoskeletal images from the AGFA and Fuji digital imaging systems

Matthew T. Freedman, Seong Ki Mun, Einar V. Pe, 1994, Medical Imaging.

Evaluating the role of gigabit speed wide-area networks in remote medical treatment

David Y. Y. Yun, Matthew T. Freedman, Seong Ki Mun, 1995, Medical Imaging.

Characterization of pulmonary nodules features on computer tomography (CT) scans using wavelet coefficients and heat maps

Matthew T. Freedman, Farid Ahmed, Teresa Osicka, 2006, SPIE 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..

Dual-energy in mammography: feasibility study

Matthew T. Freedman, Seong K. Mun, Hamid Jafroudi, 1996, Medical Imaging.

High-resolution (35 μm) CCD-based film digitizer for mammography

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

Analysis of data assembling activities for radiologists and its implications for clinical acceptance of PACS

Steven C. Horii, Matthew T. Freedman, Robert E. Braudes, 1990, 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.

Hierarchical minimax entropy modeling and probabilistic principal component visualization for data exploration

Haifeng Li, Yue Joseph Wang, Matthew T. Freedman, 1999, Medical Imaging.

Imaging performance of a low-dose screen-film mammography system

Matthew T. Freedman, Seong Ki Mun, Robert J. Jennings, 1997, Medical Imaging.

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.

Computer-aided detection of lung cancer on chest radiographs: effect of machine CAD true positive/false negative detections on radiologists' confidence level

Jesse Lin, Matthew T. Freedman, Shih-Chung Benedict Lo, 2004, SPIE Medical Imaging.

Nonrigid Medical Image Registration by Finite-Element Deformable Sheet-Curve Models

Jianhua Xuan, Yue Joseph Wang, Tülay Adali, 2006, Int. J. Biomed. Imaging.

Patient site model supported change detection

Yue Joseph Wang, Matthew T. Freedman, Kelvin Woods, 2000, Medical Imaging: Image Processing.

Performance and maintenance of storage phosphor plates and cassettes in digital radiography

Matthew T. Freedman, Seong K. Mun, Hamid Jafroudi, 1995, Medical Imaging.

Color-feature-based finger tracking for breast palpation quantification

Yue Joseph Wang, Matthew T. Freedman, Seong Ki Mun, 1997, Proceedings of International Conference on Robotics and Automation.

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.

Image processing of storage phosphor musculoskeletal radiographs: a comparison of the AGFA and Fuji bone algorithms

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

Computer-based decision support system: visual mapping of featured database in computer-aided diagnosis

Yue Joseph Wang, Matthew T. Freedman, Shih-Chung Benedict Lo, 2000, Medical Imaging: Image Processing.

Technology improvements for image-guided and minimally invasive spine procedures

Dan Stoianovici, Kevin Cleary, Vance Watson, 2002, IEEE Transactions on Information Technology in Biomedicine.

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.

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.

Image processing in digital mammography

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

Shape feature analysis using artificial neural networks for improvements of hybrid lung nodule detection system

Matthew T. Freedman, Steven L. Fritz, Panos A. Ligomenides, 1993, Medical Imaging.

Quality control in digital mammography: automatic detection of under- and over-exposed mammograms

Matthew T. Freedman, Akira Hasegawa, Seong Ki Mun, 1997, Medical Imaging.

Multimedia medical data archive and retrieval server on the Internet

Matthew T. Freedman, Seong Ki Mun, Betty A. Levine, 1997, Medical Imaging.

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.

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.

Artificial convolution neural network with wavelet kernels for disease pattern recognition

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

Design of labels to be placed on film to be digitized or copied

Matthew T. Freedman, Shih-Chung Benedict Lo, Martha C. Nelson, 1993, Medical Imaging.

Tactile imaging of palpable breast cancer

Yue Joseph Wang, Charles C. Nguyen, Matthew T. Freedman, 2002, SPIE Medical Imaging.

Evaluation of specific PACS equipment components: operational and maintenance experience

Suzy Smith, Matthew T. Freedman, John R. Romlein, 1994, 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.

Optimizing prostate needle biopsy through 3D simulation

Matthew T. Freedman, Seong Ki Mun, Jianchao Zeng, 1998, Medical Imaging.

Health care using high-bandwidth communication to overcome distance and time barriers for the Department of Defense

Matthew T. Freedman, Anthony Gelish, Mark Hansen, 1993, Other Conferences.

Computer-aided detection of lung cancer on chest radiographs: algorithm performance vs. radiologists' performance by size of cancer

Matthew T. Freedman, Shih-Chung Benedict Lo, Xin-Wei Xu, 2001, SPIE Medical Imaging.

Mammographic image segmentation using combined morphological filtering and contextual Bayesian labeling

Yue Wang, Matthew T. Freedman, H. Li, 1996, Proceedings of the 1996 Fifteenth Southern Biomedical Engineering Conference.

Storage phosphor images in the neonatal intensive care unit: a multiobserver preference study

David Pearce, Matthew T. Freedman, Seong K. Mun, 1994, Medical Imaging.

Single-image hard copy display of musculoskeletal digital radiographs

Matthew T. Freedman, Seong K. Mun, Dorothy E. Steller Artz, 1995, Medical Imaging.

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.

Potential for unnecessary patient exposure from the use of storage phosphor imaging systems

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

Anatomic region-based dynamic range compression for chest radiographs using warping transformation of correlated distribution

Matthew T. Freedman, Seong Ki Mun, Osamu Tsujii, 1998, IEEE Transactions on Medical Imaging.

Enhancement of lung nodule detection in temporal thoracic CT

Matthew T. Freedman, Shih-Chung Benedict Lo, Ruiping Li, 2004, SPIE Medical Imaging.

Storage phosphor-based digital mammography using a low-dose x-ray system optimized for screen-film mammography

Matthew T. Freedman, Robert J. Jennings, Seong K. Mun, 1996, Medical Imaging.

Artificial convolution neural network for medical image pattern recognition

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

Convolution neural-network-based detection of lung structures

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

Automated segmentation of anatomic regions in chest radiographs using an adaptive-sized hybrid neural network

Matthew T. Freedman, Seong Ki Mun, Osamu Tsujii, 1997, Medical Imaging.

Full-frame compression of discrete wavelet and cosine transforms

Huai Li, Matthew T. Freedman, Seong Ki Mun, 1995, Medical Imaging.

Digital mammography: the effects of decreased exposure

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

PACS Clinical Experience at Georgetown University

Matthew T. Freedman, Brian S. Garra, Steve Horii, 1991 .

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

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

Mixture of principal axes registration for change analysis in computer-aided diagnosis

Jianhua Xuan, Yue Joseph Wang, Kun Huang, 2001, Proceedings 30th Applied Imagery Pattern Recognition Workshop (AIPR 2001). Analysis and Understanding of Time Varying Imagery.

MR brain image analysis by distribution learning and relaxation labeling

Yue Wang, Matthew T. Freedman, Tulay Adali, 1996, Proceedings of the 1996 Fifteenth Southern Biomedical Engineering Conference.

MR-image-based tissue analysis and its clinical applications

Jianhua Xuan, Yue Joseph Wang, Kun Huang, 2002, SPIE Medical Imaging.

Quantification of MR brain image sequence by adaptive structure probabilistic self-organizing mixture

Yue Joseph Wang, Matthew T. Freedman, Tulay Adali, 1997, Medical 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..

Quality control of storage phosphor digital radiography systems

Matthew T. Freedman, Seong Ki Mun, Hamid Jafroudi, 1995, Journal of Digital Imaging.

Data Processing and Analysis

Yue Wang, Murray H. Loew, Matthew T. Freedman, 2008 .

Image optimization procedures for the Fuji AC-1

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

Geared Rotationally Identical and Invariant Convolutional Neural Network Systems pdf

Heang-Ping Chan, Matthew T. Freedman, Seong Ki Mun, 2018, ArXiv.

Multiparameter optimization of mammography with alternative x-ray sources

Matthew T. Freedman, E. P. Muntz, Robert J. Jennings, 1995, Medical Imaging.

Design-based approach to ethics in computer-aided diagnosis

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

Tactile mapping of palpable abnormalities for breast cancer diagnosis

Yue Joseph Wang, Matthew T. Freedman, Z. Geng, 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).

Home teleradiology system

Matthew T. Freedman, Brian S. Garra, Seong Ki Mun, 1997, 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.

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.

Classification of microcalcifications in digital mammograms using trend-oriented radial basis function neural network

Matthew T. Freedman, Seong Ki Mun, Osamu Tsujii, 1999, Pattern Recognit..

Statistical volumetric model for characterization and visualization of prostate cancer

Yue Joseph Wang, Matthew T. Freedman, Seong Ki Mun, 2000, Medical Imaging.

Finger tracking for breast palpation quantification using color image features

Yue Joseph Wang, Jianchao Zeng, Matthew T. Freedman, 1997 .

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

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

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.

Image feature analysis for classification of microcalcifications in digital mammography: neural networks and genetic algorithms

Matthew T. Freedman, Seong Ki Mun, Osamu Tsujii, 1997, Medical Imaging.

Digital mammography in the radio-dense and complex pattern breast

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

Tests of a new paper display for radiology images

Matthew T. Freedman, Seong K. Mun, Dorothy E. Steller Artz, 1994, Medical Imaging.

Quality control on storage phosphor digital radiography system

Matthew T. Freedman, Seong K. Mun, Hamid Jafroudi, 1995, Medical Imaging.

Automatic segmentation of mammographic masses using fuzzy shadow and maximum-likelihood analysis

Matthew T. Freedman, Mohamed F. Chouikha, Shih-Chung Ben Lo, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

Gain of using irreversible over error-free data compression in digital radiography

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

Integer wavelet compression guided by a computer-aided detection system in mammography

Heang-Ping Chan, Matthew T. Freedman, Kevin S. Berbaum, 2001, SPIE Medical Imaging.

Single-image hard-copy display of the spine utilizing digital radiography

Matthew T. Freedman, Seong Ki Mun, Dorothy E. Steller Artz, 1997, Medical Imaging.

Ultrasound images of implanted tumors in nude mice using Sono-CT correlated with MRI appearance

Matthew T. Freedman, Kathleen F. Pirollo, Esther H. Chang, 2001, SPIE Medical Imaging.

Automatic tracing and segmentation of rat mammary fat pads in MRI image sequences based on cartoon-texture model

Yue Wang, Yazhu Chen, Matthew T. Freedman, 2009 .

Surface reconstruction and visualization of the surgical prostate model

Jianhua Xuan, Yue Joseph Wang, Tülay Adali, 1997, Medical Imaging.

Evaluation of traumatic lateral cervical spine computed radiography images: quality control acceptability of images for clinical diagnosis, hardcopy versus high-resolution monitors

Matthew T. Freedman, Fred Goeringer, J. E. Parker, 1993, Medical Imaging.

Imaging biomarker analysis of rat mammary fat pads and glandular tissues in MRI images

Jianhua Xuan, Yue Joseph Wang, Matthew T. Freedman, 2008, 2008 19th International Conference on Pattern Recognition.

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).

BI-RADS guided mammographic mass retrieval

Lubomir M. Hadjiiski, Heang-Ping Chan, Matthew T. Freedman, 2011, Medical Imaging.

Dyadic decomposition: a unified perspective on predictive, subband, and wavelet transforms

Huai Li, Jianhua Xuan, Yue Joseph Wang, 1997, Medical Imaging.

Feature extraction, analysis, and 3D visualization of local lung regions in volumetric CT images

Matthew T. Freedman, Seong Ki Mun, Shih-Chung Benedict Lo, 2001, SPIE Medical Imaging.

Design of a multimedia PC-based telemedicine network for the monitoring of renal dialysis patients

Matthew T. Freedman, Seong Ki Mun, Jeff Collmann, 1997, Medical Imaging.

A contour coding and full-frame compression of discrete wavelet and cosine transforms

Huai Li, Matthew T. Freedman, Seong Ki Mun, 1995, Proceedings., International Conference on Image Processing.

Detection of mammographic masses using sector features with a multiple-circular-path neural network

Huai Li, Yue Joseph Wang, Matthew T. Freedman, 1998, Medical Imaging.

Three-dimensional visualization system as an aid for lung cancer detection

Matthew T. Freedman, Shih-Chung Benedict Lo, Andrzej Delegacz, 2000, Medical Imaging.

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.

I-SPINE: a software package for advances in image-guided and minimally invasive spine procedures

Jianchao Zeng, Vance Watson, David Lindisch, 2000, Applied Imaging Pattern Recognition.

Automatic temporal subtraction of chest radiographs and its enhancement for lung cancers

Matthew T. Freedman, Seong Ki Mun, Shih-Chung Benedict Lo, 2001, SPIE Medical Imaging.

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 .

Diagnosis of breast cancer by MRI: a 3D computer visualization and analysis system

Matthew T. Freedman, Seong Ki Mun, Chris Yuzheng Wu, 1996, Medical Imaging.

Transmission ultrasound computed tomography using a PE-CMOS sensor array: a preliminary animal study

Yue Joseph Wang, Matthew T. Freedman, David Rich, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Region-based enhancement of chest and cervical spine radiographs

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

Digital mammography: an evaluation of the shape of microcalcifications

Matthew T. Freedman, Seong K. Mun, Jacquelyn Hogge, 1996, Medical Imaging.

Anatomic region-based dynamic range compression for chest radiographs using warping transformation of correlated distribution

Matthew T. Freedman, Seong Ki Mun, Osamu Tsujii, 1997, 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.

Transformationally Identical and Invariant Convolutional Neural Networks by Combining Symmetric Operations or Input Vectors pdf

Matthew T. Freedman, Seong Ki Mun, Shih-Chung Ben Lo, 2018, ArXiv.

Phase contrast digital mammography using molybdenum x-ray: clinical implications in detectability improvement

Matthew T. Freedman, Shih-Chung Benedict Lo, Fumio Shimada, 2003, 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.

Joint segmentation and spiculation detection for ill-defined and spiculated mammographic masses

Jianhua Xuan, Matthew T. Freedman, Yimo Tao, 2010, Medical Imaging.

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.

Mammographic CADx system using an image library with an intelligent agent: a pattern matching approach

Matthew T. Freedman, Shih-Chung Ben Lo, Lisa Kinnard, 2006, SPIE 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.

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.

High-Resolution Speckle-Free Ultrasound Imaging System - A Potential Solution for Detecting Missed Breast Cancer

Matthew T. Freedman, 2001 .

Clinical Imaging: An Introduction to the Role of Imaging in Clinical Practice

Matthew T. Freedman, M. Freedman, 1988 .