B. Chapman

发表

A MOVABLE TOMOGRAPHIC DISPLAY FOR 3 D MEDICAL IMAGES

R. Klatzky, Bing Wu, G. Stetten, 2009 .

Enhanced image detail using continuity in the MIP Z‐buffer: Applications to magnetic resonance angiography

D. Parker, A. Alexander, J. Tsuruda, 2000 .

Automated assessment of the composition of breast tissue revealed on tissue-thickness-corrected mammography.

B. Chapman, L. Hardesty, W. Poller, 2003, AJR. American journal of roentgenology.

The need for phase‐encoding flow compensation in high‐resolution intracranial magnetic resonance angiography

Brian E Chapman, Eun-Kee Jeong, Dennis L Parker, 2003, Journal of magnetic resonance imaging : JMRI.

Intracranial black‐blood MR angiography with high‐resolution 3D fast spin echo

D L Parker, A L Alexander, J S Tsuruda, 1998, Magnetic resonance in medicine.

A three‐coil comparison for MR angiography

D L Parker, A L Alexander, J S Tsuruda, 2000, Journal of magnetic resonance imaging : JMRI.

Observer performance methodologies for evaluating blood vessel visibility in MR angiograms using accurate geometric registration to high resolution x‐ray angiograms

D L Parker, A L Alexander, D D Blatter, 1997, Magnetic resonance in medicine.

INTRAMODALITY AND INTERMODALITY REGISTRATION OF THE LIVER by

G. Stetten, B. Chapman, F. Boada, 2003 .

Enhanced image detail using continuity in the MIP Z-buffer: applications to magnetic resonance angiography.

D. Parker, A. Alexander, J. Tsuruda, 2000, Journal of magnetic resonance imaging : JMRI.

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

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

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.

A comparison of two methods of analog-to-digital medical video conversion

Mark E. Christian, H. C. Davidson, B. Chapman, 2000, Journal of Digital Imaging.

Development and Evaluation of a Heuristic Threshold-Based Scheme 1

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

Simulation of Sintering Experiments in Single-Mode Cavities

Octavio M. Andrade, R. L. Smith, M. Iskander, 1992 .

A preliminary report on the role of spatial frequency analysis in the perception of breast cancers missed at mammography screening.

Claudia Mello-Thoms, Brian Chapman, C. Mello-Thoms, 2004, Academic radiology.

iDASH: integrating data for analysis, anonymization, and sharing

Jihoon Kim, Xiaoqian Jiang, Lucila Ohno-Machado, 2012, J. Am. Medical Informatics Assoc..

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

W. Chapman, Mike Conway, B. South, 2016, J. Biomed. Semant..

Compartment and hub definitions tune metabolic networks for metabolomic interpretations

Alexander Lex, T Cameron Waller, Jordan A Berg, 2020, GigaScience.

Automated generation of directed graphs from vascular segmentations

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

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.

The use of the Kalman filter in the automated segmentation of EIT lung images

P Liatsis, A Zifan, B E Chapman, 2013, Physiological measurement.

International Society for Disease Surveillance Conference 2011: Building the Future of Public Health Surveillance

Roman Garnett, Ricardo H. C. Takahashi, Rumi Chunara, 2011, Emerging health threats journal.

Extending the NegEx Lexicon for Multiple Languages

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

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.

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.

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.

Automated lung segmentation in X-ray computed tomography: development and evaluation of a heuristic threshold-based scheme.

David Gur, Bin Zheng, Andrew Perez, 2003, Academic radiology.

Research Paper: Creating a Text Classifier to Detect Radiology Reports Describing Mediastinal Findings Associated with Inhalational Anthrax and Other Disorders

Gregory F Cooper, Paul Hanbury, Brian E Chapman, 2003, J. Am. Medical Informatics Assoc..

Using Coronal Depth Maps to Detect Identifiable Surface Features on Structural Head Imaging

K. Sideris, B. Chapman, 2011 .

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.

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.

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.

Bootstrapping estimates of stability for clusters, observations and model selection

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

Feasibility of Natural Language Processing-Assisted Auditing of Critical Findings in Chest Radiology.

Evan Narasimhan, Neel Patel, Brian E Chapman, 2019, Journal of the American College of Radiology : JACR.

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.

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.

Structured Reporting: The Value Concept for Radiologists

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

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.

Designing a professional development online short course to foster Learning Healthcare Systems

W. Chapman, K. Gray, D. Capurro, 2021, Int. J. Medical Informatics.

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.

Identifying Respiratory Findings in Emergency Department Reports for Biosurveillance using MetaMap

W. Chapman, T. Rindflesch, J. Dowling, 2004, MedInfo.

Python as a First Programming Language for Biomedical Scientists

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

Identifying Respiratory Findings in Emergency Department Reports for Biosurveillance using MetaMap

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