Brian E. Chapman

发表

The Frequency of ConText Lexical Items in Diverse Medical Texts

Wei Wei, Wendy W. Chapman, Brian E. Chapman, 2012, 2012 IEEE Second International Conference on Healthcare Informatics, Imaging and Systems Biology.

Automated generation of directed graphs from vascular segmentations

Brian E. Chapman, Holly Berty, Stuart L. Schulthies, 2015, J. Biomed. Informatics.

Two Alternative Forced Choice Evaluation of Vessel Visibility Increases Due to Zero-filled Interpolation in MR Angiography

Andrew L. Alexander, Brian E. Chapman, K. Craig Goodrich, 1997, IPMI.

MAKING MEDICAL IMAGES MEANINGFUL: PATIENT-ORIENTED REPORTING USING STRUCTURED TEXTUAL AND GRAPHICAL IMAGING TOOLS

Brian E. Chapman, Jordan O'Neal, 2015 .

Development and Evaluation of a Heuristic Threshold-Based Scheme 1

David Gur, Carl R. Fuhrman, Brian E. Chapman, 2003 .

Digital processing of radiographic images from PACS to publishing

Brian E. Chapman, Richard H. Wiggins, H. Ric Harnsberger, 2001, Journal of Digital Imaging.

Assessing the Feasibility of an Automated Suggestion System for Communicating Critical Findings from Chest Radiology Reports to Referring Physicians

Danielle L. Mowery, Wendy W. Chapman, Brian E. Chapman, 2016, BioNLP@ACL.

Evaluation of quantitative measures of breast tissue density from mammography with truth from MRI data

Xiao Hui Wang, Walter F. Good, Brian E. Chapman, 2003, SPIE Medical Imaging.

A Preliminary Approach for Creating a Semi-synthetic Multimodal Clinical Data Set from a Publicly Available Image Repository

Wendy W. Chapman, Brian E. Chapman, Amilcare Gentili, 2012, AMIA.

A simple method for automated lung segmentation in x-ray CT images

David Gur, Paul Thompson, Walter F. Good, 2003, SPIE Medical Imaging.

Visualization of 3D geometric models of the breast created from contrast-enhanced MRI

Xiao Hui Wang, Brian E. Chapman, Yuan-Hsiang Chang, 2002, SPIE Medical Imaging.

Porting a Rule-based Assertion Classifier for Clinical Text from English to Swedish

Danielle L. Mowery, Wendy W. Chapman, Maria Kvist, 2013 .

Image segmentation using the student's t-test and the divergence of direction on spherical regions

Bo Wang, George D. Stetten, Brian E. Chapman, 2010, Medical Imaging.

Diagnostic fidelity of the Z-buffer segmentation algorithm: preliminary assessment based on intracranial aneurysm detection

Claudia Mello-Thoms, Kevin Moore, Brian E. Chapman, 2004, J. Biomed. Informatics.

Image Misregistration and Lesion Signal-difference-to-noise Ratio Impact on Spectral Distance Images Formed from Multispectral Images

Brian E. Chapman, Claudia Mello-Thoms, 2002, AMIA.

Intracranial vessel segmentation from time-of-flight MRA using pre-processing of the MIP Z-buffer: accuracy of the ZBS algorithm

Brian E. Chapman, Dennis L. Parker, Janet O. Stapelton, 2004, Medical Image Anal..

Coil Sensitivity Estimation for Optimal SNR Reconstruction and Intensity Inhomogeneity Correction in Phased Array MR Imaging

Prashanthi Vemuri, Brian E. Chapman, Dennis L. Parker, 2005, IPMI.

Registering Liver Pathological Images with Prior In Vivo CT/MRI Data

Brian E. Chapman, Huadong Wu, Mitchell E. Tublin, 2005, MICCAI.

Extending the NegEx Lexicon for Multiple Languages

Mike Conway, Danielle L. Mowery, Wendy W. Chapman, 2013, MedInfo.

Improving CAD performance in pulmonary embolism detection: preliminary investigation

Bin Zheng, Brian E. Chapman, Christopher Deible, 2010, Medical Imaging.

Automated ancillary cancer history classification for mesothelioma patients from free-text clinical reports

Wendy W. Chapman, Brian E. Chapman, Michael J. Becich, 2010, Journal of pathology informatics.

Automated estimation of breast composition from MR images

Xiao Hui Wang, Walter F. Good, Brian E. Chapman, 2002, SPIE Medical Imaging.

Registration of MR and CT images of the liver: comparison of voxel similarity and surface based registration algorithms

Brian E. Chapman, Mitchell E. Tublin, Wen-Chi Christina Lee, 2005, Comput. Methods Programs Biomed..

A Semi-Automated Automated Classification of Pulmonary Hypertension based on features of Computed Tomography Pulmonary Angiography images

Brian E. Chapman, Holly Berty, Marc Simon, 2012, AMIA.

Python as a First Programming Language for Biomedical Scientists

Brian E. Chapman, Jeannie Irwin, B. Chapman, 2015, SciPy.

Computer Simulation of Convection and Diffusion Effects on Velocity Estimations from X-Ray Contrast Density Time Curves

Brian E. Chapman, Duane D. Blatter, Dennis L. Parker, 1997, IPMI.

A Multistage Approach to Improve Performance of Computer-Aided Detection of Pulmonary Embolisms Depicted on CT Images: Preliminary Investigation

Brian E. Chapman, Sang-Cheol Park, Bin Zheng, 2011, IEEE Transactions on Biomedical Engineering.

Two-alternative forced-choice evaluation of 3D CT angiograms

Brian E. Chapman, David W. Holdsworth, Damiaan F. Habets, 2001, SPIE Medical Imaging.

A Comparison of Classification Algorithms to Automatically Identify Chest X-Ray Reports That Support Pneumonia

Peter J. Haug, Wendy W. Chapman, Brian E. Chapman, 2001, J. Biomed. Informatics.

Evaluation of Measures of Technical Image Quality for Intracranial Magnetic Resonance Angiography

Andrew L. Alexander, Brian E. Chapman, K. Craig Goodrich, 1999, Comput. Biomed. Res..

Extracting a stroke phenotype risk factor from Veteran Health Administration clinical reports: an information content analysis

Mike Conway, Danielle L. Mowery, Wendy W. Chapman, 2016, Journal of Biomedical Semantics.

Annio: A Web-Based Tool for Annotating Medical Images with Ontologies

Claudiu Farcas, Brian E. Chapman, Patrick Reynolds, 2012, 2012 IEEE Second International Conference on Healthcare Informatics, Imaging and Systems Biology.

Developing a Knowledge Base for Detecting Carotid Stenosis with pyConText

Eric Cheng, Danielle L. Mowery, Wendy W. Chapman, 2014, American Medical Informatics Association Annual Symposium.

Comparison of three multiscale vessel enhancement filters intended for intracranial MRA: initial phantom results

Brian E. Chapman, Dennis L. Parker, 2001, SPIE Medical Imaging.

Structured Reporting: The Value Concept for Radiologists

Brian E. Chapman, Marta E. Heilbrun, Justin A. Cramer, 2017 .

The International Neuromodulation Registry: An Informatics Framework Supporting Cohort Discovery and Analysis

Brian E. Chapman, Christopher R. Butson, David M. Hedges, 2020, Frontiers in Neuroinformatics.

Improving performance of computer-aided detection of pulmonary embolisms by incorporating a new pulmonary vascular-tree segmentation algorithm

Brian E. Chapman, Bin Zheng, Xingwei Wang, 2012, Medical Imaging.

Evaluation of internal carotid artery segmentation by InsightSNAP

Brian E. Chapman, Christopher Brown, John A. Roberts, 2007, SPIE Medical Imaging.

Cue-based assertion classification for Swedish clinical text - Developing a lexicon for pyConTextSwe

Danielle L. Mowery, Wendy W. Chapman, Maria Kvist, 2014, Artif. Intell. Medicine.

Automatic Detection of Coronary Vessels Using Mutli-scale Texture Dictionaries

Brian E. Chapman, Ali Zifan, 2012, 2012 IEEE Second International Conference on Healthcare Informatics, Imaging and Systems Biology.

Document-level classification of CT pulmonary angiography reports based on an extension of the ConText algorithm

Wendy W. Chapman, Brian E. Chapman, Sean Lee, 2011, J. Biomed. Informatics.

Bootstrapping estimates of stability for clusters, observations and model selection

Mathews Jacob, Han Yu, Rachael Hageman Blair, 2018, Computational Statistics.

Automated Recognition of Organ Sub-components for Segmentation Seeding Using Machine Learning

Brian E. Chapman, Mohan K. Manchala, Lynette E. Brown, 2016, CRI.

3D multi-scale vessel enhancement filtering based on curvature measurements: application to time-of-flight MRA

Brian E. Chapman, Dennis L. Parker, 2005, Medical Image Anal..

Identifying Respiratory Findings in Emergency Department Reports for Biosurveillance using MetaMap

Wendy W. Chapman, Marcelo Fiszman, Thomas C. Rindflesch, 2004, MedInfo.

Numerical simulations of spectral phase and spectral distance behavior as scalar descriptors of multispectral data

Brian E. Chapman, Claudia Mello-Thoms, 2004, SPIE Medical Imaging.

An Analysis of Vessel Enhancement Filters Based on the Hessian Matrix for Intracranial MRA

Brian E. Chapman, Dennis L. Parker, D. Parker, 2001 .