|Aggregating UMLS semantic types for reducing conceptual complexity|
AT McCray, A Burgun, O Bodenreider
Studies in health technology and informatics 84 (0 1), 216, 2001
|Big data and machine learning in radiation oncology: state of the art and future prospects|
JE Bibault, P Giraud, A Burgun
Cancer letters 382 (1), 110-117, 2016
|Association between antidepressant use and reduced risk of intubation or death in hospitalized patients with COVID-19: results from an observational study|
N Hoertel, M Sánchez-Rico, R Vernet, N Beeker, AS Jannot, A Neuraz, ...
Molecular psychiatry 26 (9), 5199-5212, 2021
|The ontology-epistemology divide: A case study in medical terminology|
O Bodenreider, B Smith, A Burgun
Formal ontology in information systems: proceedings of the... International …, 2004
|Deep learning and radiomics predict complete response after neo-adjuvant chemoradiation for locally advanced rectal cancer|
JE Bibault, P Giraud, M Housset, C Durdux, J Taieb, A Berger, R Coriat, ...
Scientific reports 8 (1), 12611, 2018
|International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium|
GA Brat, GM Weber, N Gehlenborg, P Avillach, NP Palmer, L Chiovato, ...
NPJ digital medicine 3 (1), 109, 2020
|Non-lexical approaches to identifying associative relations in the gene ontology|
O Bodenreider, M Aubry, A Burgun
Biocomputing 2005, 91-102, 2005
O Bodenreider, A Burgun
Medical Informatics: Knowledge Management and Data Mining in Biomedicine …, 2005
|Artificial intelligence in oncology|
JE Bibault, A Burgun, L Fournier, A Dekker, P Lambin
Artificial Intelligence in Medicine, 361-381, 2021
|Adverse drug reaction identification and extraction in social media: a scoping review|
J Lardon, R Abdellaoui, F Bellet, H Asfari, J Souvignet, N Texier, ...
Journal of medical Internet research 17 (7), e4304, 2015
|Investigating subsumption in SNOMED CT: An exploration into large description logic-based biomedical terminologies|
O Bodenreider, B Smith, A Kumar, A Burgun
Artificial intelligence in medicine 39 (3), 183-195, 2007
|Translational research platforms integrating clinical and omics data: a review of publicly available solutions|
V Canuel, B Rance, P Avillach, P Degoulet, A Burgun
Briefings in bioinformatics 16 (2), 280-290, 2015
|Accessing and integrating data and knowledge for biomedical research|
A Burgun, O Bodenreider
Yearbook of medical informatics 17 (01), 91-101, 2008
|Natural language processing of radiology reports for the detection of thromboembolic diseases and clinically relevant incidental findings|
AD Pham, A Névéol, T Lavergne, D Yasunaga, O Clément, G Meyer, ...
BMC bioinformatics 15 (1), 1-10, 2014
|Comparing terms, concepts and semantic classes in WordNet and the Unified Medical Language System|
A Burgun, O Bodenreider
Proceedings of the NAACL’2001 Workshop,“WordNet and Other Lexical Resources …, 2001
|Modelling a decision-support system for oncology using rule-based and case-based reasoning methodologies|
D Rossille, JF Laurent, A Burgun
International journal of medical informatics 74 (2-4), 299-306, 2005
|A clinician friendly data warehouse oriented toward narrative reports: Dr. Warehouse|
N Garcelon, A Neuraz, R Salomon, H Faour, V Benoit, A Delapalme, ...
Journal of biomedical informatics 80, 52-63, 2018
|Desiderata for domain reference ontologies in biomedicine|
Journal of biomedical informatics 39 (3), 307-313, 2006
|Radiomics and machine learning for radiotherapy in head and neck cancers|
P Giraud, P Giraud, A Gasnier, R El Ayachy, S Kreps, JP Foy, C Durdux, ...
Frontiers in oncology 9, 174, 2019
|Automated classification of free-text pathology reports for registration of incident cases of cancer|
V Jouhet, G Defossez, A Burgun, P Le Beux, P Levillain, P Ingrand, ...
Methods of information in medicine 51 (03), 242-251, 2012