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Charles E. Kahn, Jr.
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Checklist for artificial intelligence in medical imaging (CLAIM): a guide for authors and reviewers
J Mongan, L Moy, CE Kahn Jr
Radiology: Artificial Intelligence 2 (2), e200029, 2020
6542020
Toward best practices in radiology reporting
CE Kahn Jr, CP Langlotz, ES Burnside, JA Carrino, DS Channin, ...
Radiology 252 (3), 852-856, 2009
2692009
Construction of a Bayesian network for mammographic diagnosis of breast cancer
CE Kahn Jr, LM Roberts, KA Shaffer, P Haddawy
Computers in biology and medicine 27 (1), 19-29, 1997
2581997
Automatic segmentation of liver structure in CT images
KT Bae, ML Giger, CT Chen, CE Kahn Jr
Medical physics 20 (1), 71-78, 1993
2491993
Comparison of logistic regression and artificial neural network models in breast cancer risk estimation
T Ayer, J Chhatwal, O Alagoz, CE Kahn Jr, RW Woods, ES Burnside
Radiographics 30 (1), 13-22, 2010
2362010
Breast cancer risk estimation with artificial neural networks revisited: discrimination and calibration
T Ayer, O Alagoz, J Chhatwal, JW Shavlik, CE Kahn Jr, ES Burnside
Cancer 116 (14), 3310-3321, 2010
2052010
Overview of the CLEF 2009 medical image retrieval track
H Müller, J Kalpathy–Cramer, I Eggel, S Bedrick, S Radhouani, B Bakke, ...
Multilingual Information Access Evaluation II. Multimedia Experiments: 10th …, 2010
1722010
Common limitations of image processing metrics: A picture story
A Reinke, MD Tizabi, CH Sudre, M Eisenmann, T Rädsch, M Baumgartner, ...
arXiv preprint arXiv:2104.05642, 2021
1452021
Artificial intelligence in radiology: decision support systems.
CE Kahn Jr
Radiographics 14 (4), 849-861, 1994
1351994
Hepatic helical CT: contrast material injection protocol.
WD Foley, RG Hoffmann, FA Quiroz, CE Kahn Jr, RS Perret
Radiology 192 (2), 367-371, 1994
1281994
ACCF/ACR/AHA/ASE/ASNC/HRS/NASCI/RSNA/SAIP/SCAI/SCCT/SCMR 2008 Health Policy Statement on Structured Reporting in Cardiovascular Imaging
PS Douglas, RC Hendel, JE Cummings, JM Dent, JMB Hodgson, ...
Journal of the American College of Cardiology 53 (1), 76-90, 2009
1252009
Metrics reloaded: Pitfalls and recommendations for image analysis validation
L Maier-Hein, B Menze
arXiv. org, 2022
123*2022
To buy or not to buy—evaluating commercial AI solutions in radiology (the ECLAIR guidelines)
P Omoumi, A Ducarouge, A Tournier, H Harvey, CE Kahn, ...
European radiology 31, 3786-3796, 2021
1142021
Reporting initiative of the Radiological Society of North America: progress and new directions
TA Morgan, ME Helibrun, CE Kahn Jr
Radiology 273 (3), 642-645, 2014
1142014
GoldMiner: a radiology image search engine
CE Kahn Jr, C Thao
American Journal of Roentgenology 188 (6), 1475-1478, 2007
1082007
Probabilistic Computer Model Developed from Clinical Data in National Mammography Database Format to Classify Mammographic Findings1
ES Burnside, J Davis, J Chhatwal, O Alagoz, MJ Lindstrom, BM Geller, ...
Radiology 251 (3), 663-672, 2009
1052009
DICOM and radiology: past, present, and future
CE Kahn, JA Carrino, MJ Flynn, DJ Peck, SC Horii
Journal of the American College of Radiology 4 (9), 652-657, 2007
1032007
A logistic regression model based on the national mammography database format to aid breast cancer diagnosis
J Chhatwal, O Alagoz, MJ Lindstrom, CE Kahn Jr, KA Shaffer, ...
American Journal of Roentgenology 192 (4), 1117-1127, 2009
1012009
From guidelines to practice: how reporting templates promote the use of radiology practice guidelines
CE Kahn Jr, ME Heilbrun, KE Applegate
Journal of the American College of Radiology 10 (4), 268-273, 2013
982013
Actionable findings and the role of IT support: report of the ACR Actionable Reporting Work Group
PA Larson, LL Berland, B Griffith, CE Kahn Jr, LA Liebscher
Journal of the American College of Radiology 11 (6), 552-558, 2014
892014
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Articles 1–20