Brian E. Chapman

54 papers A 1B 7Misc 4Journal 22Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Advanced Deep Learning Techniques for Automated Segmentation of Type B Aortic Dissections. CoRR Hao Xu, Ruth Lim, Brian E. Chapman
2025	—	`conf`	Deep Learning-Based Cascade 3D Kidney Segmentation Method. MedInfo Zixin Hao, Brian E. Chapman
2025	—	`conf`	External Validation of a Bayesian Network for Sepsis Mortality Prediction. MedInfo Aya Hammad, Brian E. Chapman
2025	J	`jnl`	Utilizing LLMs to Investigate the Disputed Role of Evidence in Electronic Cigarette Health Policy Formation in Australia and the UK. CoRR Damian Curran, Brian E. Chapman, Mike Conway
2025	J	`jnl`	Utilizing Sequential Information of General Lab-test Results and Diagnoses History for Differential Diagnosis of Dementia. CoRR Yizong Xing, Dhita Putri Pratama, Yuke Wang, Yufan Zhang, Brian E. Chapman
2024	J	`jnl`	Query pipeline optimization for cancer patient question answering systems. CoRR Maolin He, Rena Gao, Mike Conway, Brian E. Chapman
2023	—	`conf`	A Narrative Review of Sociodemographic Disparities in Relation to PEHR Access. MedInfo Luke Newbegin, Brian E. Chapman
2023	—	`conf`	Analyzing the Spread of Informatics with PubMed. MedInfo Brian E. Chapman, Wendy W. Chapman, Jeremiah Chapman
2023	—	`conf`	Designing an Interprofessional Online Course to Foster Learning Health Systems. MedInfo Sathana Dushyanthen, Dawn Choo, Meg Perrier, Kathleen Gray, Daniel Capurro, Douglas Pires, Brian E. Chapman, Graeme K. Hart, Kit Huckvale, Wendy W. Chapman, Kayley M. Lyons
2023	—	`conf`	Patient Access to Health Data: A Review of Philosophic and Healthcare Issues. MedInfo Andrew Xu, Brian E. Chapman
2020	J	`jnl`	The International Neuromodulation Registry: An Informatics Framework Supporting Cohort Discovery and Analysis. Frontiers Neuroinformatics David M. Hedges, John C. Hegman, Jefferson R. Brown, Jack T. Wilburn, Brian E. Chapman, Christopher R. Butson
2019	J	`jnl`	Bootstrapping estimates of stability for clusters, observations and model selection. Comput. Stat. Han Yu, Brian E. Chapman, Arianna Di Florio, Ellen Eischen, David Gotz, Mathews Jacob, Rachael Hageman Blair
2019	J	`jnl`	Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification. Artif. Intell. Medicine Imon Banerjee, Yuan Ling, Matthew C. Chen, Sadid A. Hasan, Curtis P. Langlotz, Nathaniel Moradzadeh, Brian E. Chapman, Timothy Amrhein, David A. Mong, Daniel L. Rubin, Oladimeji Farri, Matthew P. Lungren
2016	—	`conf`	Assessing the Feasibility of an Automated Suggestion System for Communicating Critical Findings from Chest Radiology Reports to Referring Physicians. BioNLP@ACL Brian E. Chapman, Danielle L. Mowery, Evan Narasimhan, Neel Patel, Wendy W. Chapman, Marta E. Heilbrun
2016	—	`conf`	Automated Recognition of Organ Sub-components for Segmentation Seeding Using Machine Learning. CRI Mohan K. Manchala, Lynette E. Brown, Brian E. Chapman
2016	J	`jnl`	Extracting a stroke phenotype risk factor from Veteran Health Administration clinical reports: an information content analysis. J. Biomed. Semant. Danielle L. Mowery, Brian E. Chapman, Mike Conway, Brett R. South, Erin Madden, Salomeh Keyhani, Wendy W. Chapman
2015	J	`jnl`	Automated generation of directed graphs from vascular segmentations. J. Biomed. Informatics Brian E. Chapman, Holly Berty, Stuart L. Schulthies
2015	—	`conf`	Python as a First Programming Language for Biomedical Scientists. SciPy Brian E. Chapman, Jeannie Irwin
2014	J	`jnl`	Cue-based assertion classification for Swedish clinical text - Developing a lexicon for pyConTextSwe. Artif. Intell. Medicine Sumithra Velupillai, Maria Skeppstedt, Maria Kvist, Danielle L. Mowery, Brian E. Chapman, Hercules Dalianis, Wendy W. Chapman
2014	Misc	`conf`	Developing a Knowledge Base for Detecting Carotid Stenosis with pyConText. AMIA Danielle L. Mowery, Daniel Franc, Shazia Ashfaq, Eric Cheng, Tania Zamora, Wendy W. Chapman, Brian E. Chapman
2013	—	`conf`	Extending the NegEx Lexicon for Multiple Languages. MedInfo Wendy Webber Chapman, Dieter Hillert, Sumithra Velupillai, Maria Kvist, Maria Skeppstedt, Brian E. Chapman, Mike Conway, Melissa Tharp, Danielle L. Mowery, Louise Deléger
2012	Misc	`conf`	A Preliminary Approach for Creating a Semi-synthetic Multimodal Clinical Data Set from a Publicly Available Image Repository. AMIA Shazia Ashfaq, Amilcare Gentili, Wendy Webber Chapman, Brian E. Chapman
2012	Misc	`conf`	A Semi-Automated Automated Classification of Pulmonary Hypertension based on features of Computed Tomography Pulmonary Angiography images. AMIA Holly Berty, Marc Simon, Brian E. Chapman
2012	—	`conf`	Annio: A Web-Based Tool for Annotating Medical Images with Ontologies. HISB Brian E. Chapman, Mona Wong, Claudiu Farcas, Patrick Reynolds
2012	—	`conf`	Automatic Detection of Coronary Vessels Using Mutli-scale Texture Dictionaries. HISB Ali Zifan, Brian E. Chapman
2012	—	`conf`	Improving performance of computer-aided detection of pulmonary embolisms by incorporating a new pulmonary vascular-tree segmentation algorithm. Computer-Aided Diagnosis Xingwei Wang, Xiaofei Song, Brian E. Chapman, Bin Zheng
2012	—	`conf`	The Frequency of ConText Lexical Items in Diverse Medical Texts. HISB Brian E. Chapman, Wei Wei, Wendy Webber Chapman
2012	J	`jnl`	iDASH: integrating data for analysis, anonymization, and sharing. J. Am. Medical Informatics Assoc. Lucila Ohno-Machado, Vineet Bafna, Aziz A. Boxwala, Brian E. Chapman, Wendy Webber Chapman, Kamalika Chaudhuri, Michele E. Day, Claudiu Farcas, Nathaniel D. Heintzman, Xiaoqian Jiang, Hyeoneui Kim, Jihoon Kim, Michael E. Matheny, Frederic S. Resnic, Staal Amund Vinterbo
2011	J	`jnl`	A Multistage Approach to Improve Performance of Computer-Aided Detection of Pulmonary Embolisms Depicted on CT Images: Preliminary Investigation. IEEE Trans. Biomed. Eng. Sang-Cheol Park, Brian E. Chapman, Bin Zheng
2011	J	`jnl`	Document-level classification of CT pulmonary angiography reports based on an extension of the ConText algorithm. J. Biomed. Informatics Brian E. Chapman, Sean Lee, Hyunseok Peter Kang, Wendy Webber Chapman
2010	B	`conf`	Image segmentation using the student's t-test and the divergence of direction on spherical regions. Image Processing George D. Stetten, Samantha Horvath, John M. Galeotti, Gaurav Shukla, Bo Wang, Brian E. Chapman
2010	—	`conf`	Improving CAD performance in pulmonary embolism detection: preliminary investigation. Computer-Aided Diagnosis Sang Cheol Park, Brian E. Chapman, Christopher Deible, Sean Lee, Bin Zheng
2007	B	`conf`	Evaluation of internal carotid artery segmentation by InsightSNAP. Image Processing Emily L. Spangler, Christopher Brown, John A. Roberts, Brian E. Chapman
2005	J	`jnl`	3D multi-scale vessel enhancement filtering based on curvature measurements: application to time-of-flight MRA. Medical Image Anal. Brian E. Chapman, Dennis L. Parker
2005	—	`conf`	Coil Sensitivity Estimation for Optimal SNR Reconstruction and Intensity Inhomogeneity Correction in Phased Array MR Imaging. IPMI Prashanthi Vemuri, Eugene G. Kholmovski, Dennis L. Parker, Brian E. Chapman
2005	A	`conf`	Registering Liver Pathological Images with Prior In Vivo CT/MRI Data. MICCAI Huadong Wu, Alyssa M. Krasinskas, Mitchell E. Tublin, Brian E. Chapman
2005	J	`jnl`	Registration of MR and CT images of the liver: comparison of voxel similarity and surface based registration algorithms. Comput. Methods Programs Biomed. Wen-Chi Christina Lee, Mitchell E. Tublin, Brian E. Chapman
2004	J	`jnl`	Diagnostic fidelity of the Z-buffer segmentation algorithm: preliminary assessment based on intracranial aneurysm detection. J. Biomed. Informatics Brian E. Chapman, Dennis L. Parker, Janet O. Stapelton, Jay S. Tsuruda, Claudia Mello-Thoms, Bronwin Hamilton, Gregory L. Katzman, Kevin Moore
2004	—	`conf`	Identifying Respiratory Findings in Emergency Department Reports for Biosurveillance using MetaMap. MedInfo Wendy W. Chapman, Marcelo Fiszman, John N. Dowling, Brian E. Chapman, Thomas C. Rindflesch
2004	J	`jnl`	Intracranial vessel segmentation from time-of-flight MRA using pre-processing of the MIP Z-buffer: accuracy of the ZBS algorithm. Medical Image Anal. Brian E. Chapman, Janet O. Stapelton, Dennis L. Parker
2004	B	`conf`	Numerical simulations of spectral phase and spectral distance behavior as scalar descriptors of multispectral data. Image Processing Brian E. Chapman, Claudia Mello-Thoms
2003	B	`conf`	A simple method for automated lung segmentation in x-ray CT images. Image Processing Bin Zheng, Joseph Ken Leader, Glenn S. Maitz, Brian E. Chapman, Carl R. Fuhrman, Robert M. Rogers, Frank C. Sciurba, Andrew Perez, Paul Thompson, Walter F. Good, David Gur
2003	B	`conf`	Evaluation of quantitative measures of breast tissue density from mammography with truth from MRI data. Image Processing Xiao Hui Wang, Brian E. Chapman, Cynthia A. Britton, Saraswathi K. Golla, Luisa P. Wallace, Walter F. Good
2003	J	`jnl`	Research Paper: Creating a Text Classifier to Detect Radiology Reports Describing Mediastinal Findings Associated with Inhalational Anthrax and Other Disorders. J. Am. Medical Informatics Assoc. Wendy Webber Chapman, Gregory F. Cooper, Paul Hanbury, Brian E. Chapman, Lee H. Harrison, Michael M. Wagner
2002	B	`conf`	Automated estimation of breast composition from MR images. Image Processing Brian E. Chapman, Xiao Hui Wang, Walter F. Good
2002	Misc	`conf`	Image Misregistration and Lesion Signal-difference-to-noise Ratio Impact on Spectral Distance Images Formed from Multispectral Images. AMIA Brian E. Chapman, Claudia Mello-Thoms
2002	—	`conf`	Visualization of 3D geometric models of the breast created from contrast-enhanced MRI. Image-Guided Procedures Joseph Ken Leader, Xiao Hui Wang, Yuan-Hsiang Chang, Brian E. Chapman
2001	J	`jnl`	A Comparison of Classification Algorithms to Automatically Identify Chest X-Ray Reports That Support Pneumonia. J. Biomed. Informatics Wendy Webber Chapman, Marcelo Fiszman, Brian E. Chapman, Peter J. Haug
2001	B	`conf`	Comparison of three multiscale vessel enhancement filters intended for intracranial MRA: initial phantom results. Image Processing Brian E. Chapman, Dennis L. Parker
2001	J	`jnl`	Digital processing of radiographic images from PACS to publishing. J. Digit. Imaging Mark E. Christian, H. Christian Davidson, Richard H. Wiggins III, Grant Berges, George Cannon, Grant W. Jackson, Brian E. Chapman, H. Ric Harnsberger
2000	J	`jnl`	A comparison of two methods of analog-to-digital medical video conversion. J. Digit. Imaging Grant Berges, H. Christian Davidson, Brian E. Chapman, George Cannon, Mark E. Christian, David Harnsberger, H. Ric Harnsberger
1999	J	`jnl`	Evaluation of Measures of Technical Image Quality for Intracranial Magnetic Resonance Angiography. Comput. Biomed. Res. Brian E. Chapman, K. Craig Goodrich, Andrew L. Alexander, Duane D. Blatter, Dennis L. Parker
1997	—	`conf`	Computer Simulation of Convection and Diffusion Effects on Velocity Estimations from X-Ray Contrast Density Time Curves. IPMI Sui Ping Huan, Brian E. Chapman, Joseph B. Muhlestein, Duane D. Blatter, Dennis L. Parker
1997	—	`conf`	Two Alternative Forced Choice Evaluation of Vessel Visibility Increases Due to Zero-filled Interpolation in MR Angiography. IPMI Brian E. Chapman, K. Craig Goodrich, Andrew L. Alexander, Duane D. Blatter, Dennis L. Parker