P. Loud, Z. Grossman, D. Klippenstein, and C. Ray, Combined CT venography and pulmonary angiography: a new diagnostic technique for suspected thromboembolic disease., American Journal of Roentgenology, vol.170, issue.4, pp.951-954, 1998.
DOI : 10.2214/ajr.170.4.9530042

L. Goodman, H. Sostman, P. Stein, and P. Woodard, CT Venography: A Necessary Adjunct to CT Pulmonary Angiography or a Waste of Time, Money, and Radiation?, Radiology, vol.250, issue.2, pp.327-330, 2009.
DOI : 10.1148/radiol.2502081075

P. Stein, S. Fowler, L. Goodman, A. Gottschalk, C. Hales et al., Multidetector Computed Tomography for Acute Pulmonary Embolism, New England Journal of Medicine, vol.354, issue.22, pp.2317-2327, 2006.
DOI : 10.1056/NEJMoa052367

B. Ghaye, A. Nchimi, C. Noukoua, and R. Dondelinger, Does multi?detector row CT pulmonary angiography reduce the incremental value of indirect CT venography compared with single?detector row CT pulmonary angiography?1. Radiology, pp.256-262, 2006.

S. Krishan, N. Panditaratne, N. Pandiratne, R. Verma, and R. Robertson, Incremental Value of CT Venography Combined With Pulmonary CT Angiography for the Detection of Thromboembolic Disease: Systematic Review and Meta-Analysis, American Journal of Roentgenology, vol.196, issue.5, pp.1065-1072, 2011.
DOI : 10.2214/AJR.10.4745

A. Perrier and H. Bounameaux, Accuracy or Outcome in Suspected Pulmonary Embolism, New England Journal of Medicine, vol.354, issue.22, pp.2383-2385, 2006.
DOI : 10.1056/NEJMe068076

A. Hunsaker, K. Zou, A. Poh, B. Trotman-dickenson, F. Jacobson et al., Routine Pelvic and Lower Extremity CT Venography in Patients Undergoing Pulmonary CT Angiography, American Journal of Roentgenology, vol.190, issue.2, pp.322-326, 2008.
DOI : 10.2214/AJR.07.2568

M. Revel, O. Sanchez, S. Dechoux, S. Couchon, G. Frija et al., Contribution of indirect computed tomographic venography to the diagnosis of postpartum venous thromboembolism, Journal of Thrombosis and Haemostasis, vol.189, issue.9, pp.1478-1481, 2008.
DOI : 10.1111/j.1538-7836.2008.03078.x

M. Revel, D. Petrover, A. Hernigou, C. Lefort, G. Meyer et al., Diagnosing Pulmonary Embolism with Four???Detector Row Helical CT: Prospective Evaluation of 216 Outpatients and Inpatients, Radiology, vol.234, issue.1, pp.265-273, 2005.
DOI : 10.1148/radiol.2341031880

W. Hall, S. Truitt, L. Scheunemann, S. Shah, M. Rivera et al., The Prevalence of Clinically Relevant Incidental Findings on Chest Computed Tomographic Angiograms Ordered to Diagnose Pulmonary Embolism, Archives of Internal Medicine, vol.169, issue.21, pp.1961-1965, 2009.
DOI : 10.1001/archinternmed.2009.360

P. Jacobs, W. Mali, D. Grobbee, and Y. Van-der-graaf, Prevalence of Incidental Findings in Computed Tomographic Screening of the Chest, Journal of Computer Assisted Tomography, vol.32, issue.2, pp.214-221, 2008.
DOI : 10.1097/RCT.0b013e3181585ff2

L. Berland, S. Silverman, R. Gore, W. Mayo-smith, A. Megibow et al., Managing Incidental Findings on Abdominal CT: White Paper of the ACR Incidental Findings Committee, Journal of the American College of Radiology, vol.7, issue.10, pp.754-773, 2010.
DOI : 10.1016/j.jacr.2010.06.013

D. Demner-fushman, W. Chapman, and C. Mcdonald, What can natural language processing do for clinical decision support?, Journal of Biomedical Informatics, vol.42, issue.5, pp.760-772, 2009.
DOI : 10.1016/j.jbi.2009.08.007

C. Friedman, P. Alderson, J. Austin, J. Cimino, and S. Johnson, A General Natural-language Text Processor for Clinical Radiology, Journal of the American Medical Informatics Association, vol.1, issue.2, pp.161-174, 1994.
DOI : 10.1136/jamia.1994.95236146

C. Friedman, S. Johnson, B. Forman, and J. Starren, Architectural requirements for a multipurpose natural language processor in the clinical environment, Proc Annu Symp Comput Appl Med Care, pp.347-351, 1995.

G. Savova, J. Masanz, P. Ogren, J. Zheng, S. Sohn et al., Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications, Journal of the American Medical Informatics Association, vol.17, issue.5, pp.507-513, 2010.
DOI : 10.1136/jamia.2009.001560

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2995668

A. Aronson and F. Lang, An overview of MetaMap: historical perspective and recent advances, Journal of the American Medical Informatics Association, vol.17, issue.3, pp.229-236, 2010.
DOI : 10.1136/jamia.2009.002733

A. Aronson, O. Bodenreider, D. Demner-fushman, K. Fung, V. Lee et al., From indexing the biomedical literature to coding clinical text, Proceedings of the Workshop on BioNLP 2007 Biological, Translational, and Clinical Language Processing, BioNLP '07, pp.105-112
DOI : 10.3115/1572392.1572412

S. Ozdowska, A. Névéol, and B. Thirion, Traduction compositionnelle automatique de bitermes dans des corpus anglais/français alignés, Proceedings of the 6th meeting Terminologie et Intelligence Artificielle, 2005.

L. Deléger, M. Merkel, and P. Zweigenbaum, Translating medical terminologies through word alignment in parallel text corpora, Journal of Biomedical Informatics, vol.42, issue.4, pp.692-701, 2009.
DOI : 10.1016/j.jbi.2009.03.002

L. Deléger, T. Merabti, T. Lecrocq, M. Joubert, P. Zweigenbaum et al., A twofold strategy for translating a medical terminology into French, AMIA Annu Symp Proc, pp.152-156, 2010.

P. Zweigenbaum, R. Baud, A. Burgun, F. Namer, E. Jarrousse et al., UMLF: a unified medical lexicon for French, International Journal of Medical Informatics, vol.74, issue.2-4, pp.119-124, 2005.
DOI : 10.1016/j.ijmedinf.2004.03.010

URL : https://hal.archives-ouvertes.fr/halshs-00157557

F. Namer and P. Zweigenbaum, Acquiring meaning for French medical terminology: contribution of morphosemantics, Stud Health Technol Inform, vol.107, pp.535-539, 2004.
URL : https://hal.archives-ouvertes.fr/halshs-00157787

N. Grabar, P. Varoutas, P. Rizand, A. Livartowski, and T. Hamon, Automatic acquisition of synonyms from French UMLS for enhanced search of EHRs, Stud Health Technol Inform, vol.136, pp.809-814, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00288819

L. Deléger, C. Grouin, and P. Zweigenbaum, Extracting medication information from French clinical texts, Stud Health Technol Inform, vol.160, pp.949-953, 2010.

C. Grouin, L. Deléger, A. Rosier, L. Temal, O. Dameron et al., Automatic computation of CHA2DS2-VASc score: information extraction from clinical texts for thromboembolism risk assessment, AMIA Annu Symp Proc, pp.501-510, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00748588

C. Grouin and P. Zweigenbaum, Une approche à plusieurs étapes pour anonymiser des documents médicaux Intelligence Artificielle et santé " Vers quelles applications en médecine, pp.525-549
DOI : 10.3166/ria.25.525-549

A. Névéol, M. Douyère, A. Rogozan, and S. Darmoni, Construction de ressources terminologiques en santé pour un système d'indexation automatique, Journées INTEX/NOOJ Presses universitaires de Franche- Comté, pp.171-188, 2004.

T. Merabti, L. Soualmia, J. Grosjean, O. Palombi, J. Müller et al., Translating the foundational model of anatomy into french using knowledge-based and lexical methods, BMC Medical Informatics and Decision Making, vol.36, issue.6, p.65, 2011.
DOI : 10.1016/j.jbi.2003.11.002

URL : https://hal.archives-ouvertes.fr/hal-00645338

M. Neves and U. Leser, A survey on annotation tools for the biomedical literature, Briefings in Bioinformatics, vol.15, issue.2
DOI : 10.1093/bib/bbs084

P. Stenetorp, S. Pyysalo, G. Topi?, T. Ohta, S. Ananiadou et al., brat: a Web-based Tool for NLP-Assisted Text Annotation, Proceedings of the Demonstrations at the 13th Conference of the European Chapter, pp.2012102-107, 2012.

M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann et al., The WEKA data mining software, ACM SIGKDD Explorations Newsletter, vol.11, issue.1, pp.10-18, 2009.
DOI : 10.1145/1656274.1656278

A. Berger, D. Pietra, V. , D. Pietra, and S. , A maximum entropy approach to natural language processing, Comput Linguist, vol.22, issue.1, pp.39-71, 1996.

T. Lavergne, O. Cappé, and F. Yvon, Practical very large scale CRFs, Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pp.504-513

C. Grouin, S. Rosset, P. Zweigenbaum, K. Fort, O. Galibert et al., Proposal for an Extension of Traditional Named Entities: From Guidelines to Evaluation, an Overview, Proceedings of the Fifth Linguistic Annotation Workshop, pp.92-100, 2011.

K. Verspoor, J. Yepes, A. Cavedon, L. Mcintosh, T. Herten-crabb et al., Annotating the biomedical literature for the human variome, Database, vol.2013, issue.0, p.19, 2013.
DOI : 10.1093/database/bat019

L. Berland, Overview of White Papers of the ACR Incidental Findings Committee II on Adnexal, Vascular, Splenic, Nodal, Gallbladder, and Biliary Findings, Journal of the American College of Radiology, vol.10, issue.9, pp.672-674, 2013.
DOI : 10.1016/j.jacr.2013.05.012

B. Chapman, S. Lee, H. Kang, and W. Chapman, Document-level classification of CT pulmonary angiography reports based on an extension of the ConText algorithm, Journal of Biomedical Informatics, vol.44, issue.5, pp.728-737, 2011.
DOI : 10.1016/j.jbi.2011.03.011

W. Chapman and J. Dowling, Inductive creation of an annotation schema for manually indexing clinical conditions from emergency department reports, Journal of Biomedical Informatics, vol.39, issue.2, pp.196-208, 2006.
DOI : 10.1016/j.jbi.2005.06.004

B. South, S. Shen, M. Jones, J. Garvin, M. Samore et al., Developing a manually annotated clinical document corpus to identify phenotypic information for inflammatory bowel disease, BMC Bioinformatics, vol.10, issue.Suppl 9, pp.1-32, 2009.
DOI : 10.1186/1471-2105-10-S9-S12

M. Shore, D. Rubin, C. Kahn, and . Jr, Integration of Imaging Signs into RadLex, Journal of Digital Imaging, vol.15, issue.Suppl 3, pp.50-55, 2012.
DOI : 10.1007/s10278-011-9386-x

M. Yetisgen-yildiz, M. Gunn, F. Xia, and T. Payne, A text processing pipeline to extract recommendations from radiology reports, Journal of Biomedical Informatics, vol.46, issue.2, pp.354-362, 2013.
DOI : 10.1016/j.jbi.2012.12.005

S. Dutta, W. Long, D. Brown, and A. Reisner, Automated Detection Using Natural Language Processing of Radiologists Recommendations for Additional Imaging of Incidental Findings, Annals of Emergency Medicine, vol.62, issue.2, pp.162-169, 2013.
DOI : 10.1016/j.annemergmed.2013.02.001

. Pham, Natural language processing of radiology reports for the detection of thromboembolic diseases and clinically relevant incidental findings, BMC Bioinformatics, vol.15, issue.1, p.266, 2014.
DOI : 10.1186/1471-2105-15-266

URL : https://hal.archives-ouvertes.fr/inserm-01094167