J. Kolodner, Case-based reasoning, 1993.

E. Melis, J. Lieber, and A. Napoli, Reformulation in Case-Based Reasonning In:Forth European Workshop on Case-Based Reasoning, Lecture Notes in Artificial Intelligence, pp.1488172-183, 1998.

B. Fuchs, J. Lieber, A. Mille, and A. Napoli, A general strategy for adaptation in Case-Based Reasoning, p.2477, 2006.

J. Lieber, Application of the Revision Theory to Adaptation in Case- Based Reasonning: the Conservative Adaptation, Proceedings of the 7th International Conference on Case-Based Reasonning, pp.239-253, 2007.

I. Bichindaritz and C. Marling, Case-based reasoning in the health sciences, Artificial Intelligence in Medicine, vol.36, issue.2, pp.127-135, 2006.
DOI : 10.1016/j.artmed.2005.08.001

I. Bichindaritz, Prototypical Cases for Knowledge Maintenance in Biomedical CBR, Proceedings of International Conference on Case- Based Reasoning, pp.492-506, 2007.
DOI : 10.1007/978-3-540-74141-1_34

S. Little, S. Colatino, O. Salvetti, and P. Perner, Can Prototype-Based Classifica-tion be a good Method for Biomedical Applications?, In: Trans. MLDM (MLDM), vol.2, issue.1, pp.44-61, 2009.

M. Daquin, J. Lieber, and A. Napoli, ADAPTATION KNOWLEDGE ACQUISITION: A CASE STUDY FOR CASE-BASED DECISION SUPPORT IN ONCOLOGY, Computational Intelligence, vol.90, issue.4, pp.161-176, 2006.
DOI : 10.1016/0950-7051(95)01024-6

URL : https://hal.archives-ouvertes.fr/inria-00116888

B. Pandey and R. B. Michra, An integrated intelligent computing model for the interpolation of EMG based neuromuscular disease, Expert Systems With Applications 36, pp.9201-9213, 2009.

T. Cover and P. Hart, Nearest neighbor pattern classification, IEEE Transactions on Information Theory, vol.13, issue.1, pp.21-27, 1967.
DOI : 10.1109/TIT.1967.1053964

B. Knight and F. L. Woon, Case Based Adaptation Using Interpolation over Nominal Values, Research and development in Intelligent Systems, pp.73-86, 2005.
DOI : 10.1007/1-84628-102-4_6

D. Shepard, A Two-Dimensional interpolation Function for irregularity Spaced Data, Proceedings of the 23rd National Conference, pp.517-523, 1968.

A. Cordier, B. Fuchs, and A. Mille, Engineering and Learning of Adaptation Knowledge in Case-Based Reasoning, Proceedings of the 15th International Conference on Knowledge Engineering and Knowledge Management -EAKW 2006, pp.303-317, 2006.
DOI : 10.1007/11891451_27

D. Broggio, B. Zhang, L. De-carlan, A. Desbrée, S. Lamart et al., Analytical and Monte Carlo assessment of activity and local dose after a wound contamination by activation products, Health Physics, vol.96, issue.2, pp.155-163, 2009.
DOI : 10.1097/01.HP.0000334065.48006.6a

C. Huet, A. Lemosquet, I. Clairand, J. B. Rioual, D. Franck et al., SESAME: A SOFTWARE TOOL FOR THE NUMERICAL DOSIMETRIC RECONSTRUCTION OF RADIOLOGICAL ACCIDENTS INVOLVING EXTERNAL SOURCES AND ITS APPLICATION TO THE ACCIDENT IN CHILE IN DECEMBER 2005, Health Physics, vol.96, issue.1, pp.76-83, 2005.
DOI : 10.1097/01.HP.0000327661.90794.0f

I. Bichindaritz, Case-Based Reasoning in the Health Sciences: Why It Matters for the Health Sciences and for CBR
DOI : 10.1007/978-3-540-85502-6_1

I. Bichindaritz, Advances in case-based reasoning in the health sciences, Artificial Intelligence in Medicine, vol.51, issue.2, pp.75-79, 2011.
DOI : 10.1016/j.artmed.2011.01.001

F. Diaz, F. Fdze-riverola, and J. M. Corchado, Gene-CBR: A Case-Based Reason-ing Tool for Cancer Diagnosis using Microarray Datasets, In: Computational Intelligence, pp.254-258, 2006.

E. Balaa, Z. Strauss, A. Uziel, P. Maximini, K. Traphoner et al., FM- Ultranet: A Decision Support System Using Case-Based Reasoning Applyied to Ultrasono-graphy, Proceedings of the Fifth International Conference on Case-Based Reasoning, pp.37-44, 2003.

S. Monati, Case-Based Reasoning for Managing Non-Compliance with Clinical Guidelines, Proceedings of Case-Based Rea-soning in Health Science Workshop, pp.325-336, 2007.

E. B. Reategui, J. A. Campbell, and B. F. Leaob, Combining a neural network with case-based reasoning in a diagnostic system, Artificial Intelligence in Medicine, vol.9, issue.1, pp.5-27, 1997.
DOI : 10.1016/S0933-3657(96)00359-4

J. Henriet, P. E. Leni, R. Laurent, A. Roxin, B. Chebel-morello et al., Adapting Numerical Representations of Lung Contours Using Case-Based Reasoning and Artificial Neural Networks, ICCBR 2012, pp.137-151, 2012.
DOI : 10.1007/978-3-642-32986-9_12

URL : https://hal.archives-ouvertes.fr/hal-00935864

W. S. Mcculloch and W. Pitts, A logical calculus of the ideas immanent in nervous activity, In: Bulletin of mathematical biology, vol.5, issue.4, pp.115-133, 1943.

J. Valentin, Basic anatomical and physiological data for use in radiological protection: reference values:: ICRP Publication 89, Annals of the ICRP, pp.32-35, 2002.

J. Farah, D. Broggio, and D. Franck, Examples of Mesh and NURBS modeling for in vivo lung counting studies, In: Radiation Protection Dosimetry, NTP, vol.144, pp.1-4344, 2011.

D. Broggio, J. Beurrier, M. Bremaud, A. Desbrée, J. Farah et al., Construction of an extended library of adult male 3D models: rationale and results, Physics in Medicine and Biology, vol.56, issue.23, p.76597692, 2011.
DOI : 10.1088/0031-9155/56/23/020

R. Mcneel, Modeling tools for designers. Rhinoceros Web Site, 2003.

I. Clairand, L. G. Bouchet, M. Ricard, M. Durigon, D. Paola et al., Improvement of internal dose calculations using mathematical models of different adult heights, Physics in medicine and biology, pp.2771-2785, 2000.
DOI : 10.1088/0031-9155/45/10/304

G. E. Christensen, Deformable shape models for anatomy. Thesis, 1994.

N. Chatterjee and J. A. Campbell, Interpolation as a means of fast adaptation in case-based problem solving, Proceedings Fifth German Workshop on Case-Based Reasoning, pp.65-74, 1997.

Z. Liao, X. Maoa, P. M. Hannam, and T. Zhao, Adaptation methodology of CBR for environmental emergency preparedness system based on an Improved Genetic Algorithm, Expert Systems with Applications, vol.39, issue.8, pp.7029-7040, 2012.
DOI : 10.1016/j.eswa.2012.01.044