Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification I Banerjee, Y Ling, MC Chen, SA Hasan, CP Langlotz, N Moradzadeh, ... Artificial intelligence in medicine 97, 79-88, 2019 | 282 | 2019 |
Deep learning to classify radiology free-text reports MC Chen, RL Ball, L Yang, N Moradzadeh, BE Chapman, DB Larson, ... Radiology 286 (3), 845-852, 2018 | 235 | 2018 |
Automated lung segmentation in X-ray computed tomography: development and evaluation of a heuristic threshold-based scheme1 JK Leader, B Zheng, RM Rogers, FC Sciurba, A Perez, BE Chapman, ... Academic radiology 10 (11), 1224-1236, 2003 | 196 | 2003 |
Document-level classification of CT pulmonary angiography reports based on an extension of the ConText algorithm BE Chapman, S Lee, HP Kang, WW Chapman Journal of biomedical informatics 44 (5), 728-737, 2011 | 148 | 2011 |
iDASH: integrating data for analysis, anonymization, and sharing L Ohno-Machado, V Bafna, AA Boxwala, BE Chapman, WW Chapman, ... Journal of the American Medical Informatics Association 19 (2), 196-201, 2012 | 138 | 2012 |
Extending the NegEx lexicon for multiple languages WW Chapman, D Hillert, S Velupillai, M Kvist, M Skeppstedt, ... MEDINFO 2013, 677-681, 2013 | 132 | 2013 |
A comparison of classification algorithms to automatically identify chest X-ray reports that support pneumonia WW Chapman, M Fizman, BE Chapman, PJ Haug Journal of biomedical informatics 34 (1), 4-14, 2001 | 125 | 2001 |
Identifying respiratory findings in emergency department reports for biosurveillance using MetaMap WW Chapman, M Fiszman, JN Dowling, BE Chapman, TC Rindflesch MEDINFO 2004, 487-491, 2004 | 84 | 2004 |
Automated assessment of the composition of breast tissue revealed on tissue-thickness-corrected mammography XH Wang, WF Good, BE Chapman, YH Chang, WR Poller, TS Chang, ... American Journal of Roentgenology 180 (1), 257-262, 2003 | 73 | 2003 |
A multistage approach to improve performance of computer-aided detection of pulmonary embolisms depicted on CT images: Preliminary investigation SC Park, BE Chapman, B Zheng IEEE transactions on biomedical engineering 58 (6), 1519-1527, 2010 | 72 | 2010 |
Intracranial black‐blood MR angiography with high‐resolution 3D fast spin echo AL Alexander, HR Buswell, Y Sun, BE Chapman, JS Tsuruda, DL Parker Magnetic resonance in medicine 40 (2), 298-310, 1998 | 72 | 1998 |
Method and apparatus for enhancing an image using data optimization and segmentation DL Parker, AL Alexander, JA Roberts, BE Chapman US Patent 6,674,894, 2004 | 54 | 2004 |
Creating a text classifier to detect radiology reports describing mediastinal findings associated with inhalational anthrax and other disorders WW Chapman, GF Cooper, P Hanbury, BE Chapman, LH Harrison, ... Journal of the American Medical Informatics Association 10 (5), 494-503, 2003 | 53 | 2003 |
Intracranial vessel segmentation from time-of-flight MRA using pre-processing of the MIP Z-buffer: accuracy of the ZBS algorithm BE Chapman, JO Stapelton, DL Parker Medical Image Analysis 8 (2), 113-126, 2004 | 50 | 2004 |
Coil sensitivity estimation for optimal SNR reconstruction and intensity inhomogeneity correction in phased array MR imaging P Vemuri, EG Kholmovski, DL Parker, BE Chapman Information Processing in Medical Imaging: 19th International Conference …, 2005 | 48 | 2005 |
Bootstrapping estimates of stability for clusters, observations and model selection H Yu, B Chapman, A Di Florio, E Eischen, D Gotz, M Jacob, RH Blair Computational Statistics 34, 349-372, 2019 | 42 | 2019 |
Extracting a stroke phenotype risk factor from Veteran Health Administration clinical reports: an information content analysis DL Mowery, BE Chapman, M Conway, BR South, E Madden, S Keyhani, ... Journal of Biomedical Semantics 7, 1-12, 2016 | 39 | 2016 |
A simple method for automated lung segmentation in X-ray CT images B Zheng, JK Leader III, GS Maitz, BE Chapman, CR Fuhrman, RM Rogers, ... Medical Imaging 2003: Image Processing 5032, 1455-1463, 2003 | 39 | 2003 |
Enhanced image detail using continuity in the MIP Z‐buffer: Applications to magnetic resonance angiography DL Parker, BE Chapman, JA Roberts, AL Alexander, JS Tsuruda Journal of Magnetic Resonance Imaging 11 (4), 378-388, 2000 | 39 | 2000 |
Registration of MR and CT images of the liver: comparison of voxel similarity and surface based registration algorithms WCC Lee, ME Tublin, BE Chapman Computer methods and programs in biomedicine 78 (2), 101-114, 2005 | 36 | 2005 |