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Journal Article

  1. [AZAM-17]“Converting SVDD scores into probability estimates: Application to outlier detection”, Neurocomputing, 2017.
    http://www.sciencedirect.com/science/article/pii/S0925231217307543
  2. [AZAM-16b]“Detection of Lesions Underlying Intractable Epilepsy on T1-Weighted MRI as an Outlier Detection Problem”, PLoS ONE, vol. 11, p. e0161498, 2016.
  3. [LART-14]C. Lartizien, Rogez, M., Niaf, E., and Ricard, F., “Computer aided staging of lymphoma patients with FDG PET/CT imaging based on textural information”, IEEE Journal of Biomedical and Health informatics, vol. 18, pp. 946-955, 2014.
    http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6613509&queryText%3Dlartizien
  4. [GIBA-14]B. Gibaud, Forestier, G., Benoit-Cattin, H., Cervenansky, F., Clarysse, P., Friboulet, D., Gaignard, A., Hugonnard, P., Lartizien, C., Liebgott, H., Montagnat, J., Tabary, J., and Glatard, T., “OntoVIP: an ontology for the annotation of object models used for medical image simulation”, Journal of Biomedical Informatics, vol. 52, pp. 279-292, 2014.
  5. [NIAF-14b]E. Niaf, Lartizien, C., Bratan, F., Roche, L., Rabilloud, M., Mège-Lechevallier, F., and Rouvière, O., “Characterizing prostate focal peripheral zone lesions at multiparametric MR imaging: Influence of a computer-aided diagnosis system”, Radiology, vol. 271, pp. 761-769, 2014.
  6. [NIAF-14a]E. Niaf, Flamary, R., Rouvière, O., Lartizien, C., and Canu, S., “Kernel-Based Learning From Both Qualitative And Quantitative Labels : Application To Prostate Cancer Diagnosis Based On Multiparametric MR Imaging”, IEEE Transactions on Image Processing, vol. 23, pp. 979- 991, 2014.
    http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6690197&queryText%3Dniaf
  7. [GLAT-13]T. Glatard, Lartizien, C., Gibaud, B., Ferreira da Silva, R., Forestier, G., Cervenansky, F., Alessandrini, M., Benoit-Cattin, H., Bernard, O., Camarasu-Pop, S., Cerezo, N., Clarysse, P., Gaignard, A., Hugonnard, P., Liebgott, H., Marache, S., Marion, A., Montagnat, J., Tabary, J., and Friboulet, D., “A Virtual Imaging Platform for multi-modality medical image simulation”, IEEE Transactions on Medical Imaging, vol. 32, pp. 110-118, 2013.PDF icon tmi-2012.pdf (487.25 KB)
  8. [LART-12]C. Lartizien, Marache-Francisco, S., and Prost, R., “Automatic Detection of Lung and Liver Lesions in 3D Positron Emission Tomography Images: a Pilot Study”, IEEE Transactions on Nuclear Science, vol. 59, pp. 102-112, 2012.
  9. [NIAF-12]E. Niaf, Rouvière, O., Mège-Lechevallier, F., Bratan, F., and Lartizien, C., “Computer-aided diagnosis of prostate cancer in the peripheral zone using multiparametric MRI”, Physics in Medicine and Biology, vol. 57, pp. 3833-3851, 2012.
    http://stacks.iop.org/0031-9155/57/3833
  10. [BABO-10]L. Baboi, Pilleul, F., Milot, L., Lartizien, C., Roche, C., Poncet, G., Scoazec, J. Y., and Beuf, O., “MRI follow-up of liver growth of neuro-endocrine tumors in an experimental mouse model”, Magnetic Resonance Imaging, vol. 28, pp. 264-272, 2010.
  11. [TOME-10]S. Tomei, Reilhac, A., Visvikis, D., Boussion, N., Odet, C., Giammarile, F., and Lartizien, C., “OncoPET_DB: a freely distributed database of realistic simulated whole body [18F]FDG PET images for oncology”, IEEE Transactions on Nuclear Science, vol. 57, pp. 246-255, 2010.
  12. [LART-10]C. Lartizien, Aubin, J. - B., and Buvat, I., “Comparison of Bootstrap Resampling Methods for 3-D PET Imaging”, IEEE Transactions on Medical Imaging, vol. 29, pp. 1442-1454, 2010.
  13. [LEMA-09]A. Lemaitre, Segars, P., Marache, S., Reilhac, A., Hatt, M., Tomei, S., Lartizien, C., and Visvikis, D., “Incorporating patient specific variability in the simulation of realistic whole body 18F-FDG distributions for oncology applications”, Proceedings of the IEEE, vol. 97, 2009.
  14. [BEUF-08]O. Beuf, Lartizien, C., Milot, L., Baboi, L., Roche, C., Langlois, J. B., Scoazec, J. Y., and Pilleul, F., “Multimodal imaging for the detection and characterization of liver lesions in a mouse model of neuroendocrine tumor”, Gastroenterol Clin Biol, vol. 32, pp. 32–40, 2008.
  15. [RIOU-07]L. M. Riou, Broisat, A., Lartizien, C., Toufekstian, M. C., Maitrejean, S., Janier, M., Vanzetto, G., Fagret, D., and Ghezzi, C., “Assessment of Non-Reperfused and Reperfused Myocardial Infarction using Diffusible or Deposited Radiolabelled Perfusion Imaging Agents”, Eur J Nucl Med, vol. 34, pp. 330-337, 2007.
  16. [GIFF-07]H. C. Gifford, Kinahan, P. E., Lartizien, C., and King, M. A., “Evaluation of Multiclass Model Observers in PET LROC”, IEEE Trans Nucl Sci, vol. 54, pp. 116-123, 2007.
  17. [BABO-07]L. Baboi, Milot, L., Lartizien, C., Roche, C., Scoazec, J. Y., Pilleul, F., and Beuf, O., “Synchronization strategies in T2-weighted MR imaging for detection of liver lesions: Application on a nude mouse model”, Biomed Imaging Interv J, vol. 3, pp. 1–9, 2007.
  18. [LART-07a]C. Lartizien, Kuntner, C., Goertzen, A. L., Evans, A. C., and Reilhac, A., “Validation of PET-SORTEO Monte Carlo simulations for the geometries of the MicroPET R4 and Focus 220 PET scanners”, Phys Med Biol, vol. 52, pp. 4845-4862, 2007.
  19. [JANE-06]L. Janeiro, Comtat, C., Lartizien, C., Kinahan, P. E., Defrise, M., Michel, C., Trebossen, R., and Almeida, P., “Numerical observer studies comparing FORE+AWOSEM, FORE+NECOSEM and NEC based fully 3D OSEM for 3D whole-body PET imaging”, IEEE Trans Nucl Sci, vol. 53, pp. 1194-1199, 2006.
  20. [ZIEM-05]K. Ziemons, Auffray, E., Barbier, R., Brandenburg, G., Bruyndonckx, P., Choi, Y., Christ, D., Costes, N., Declais, Y., Devroede, O., Dujardin, C., Fedorov, A. A., Heinrichs, U., Hollendung, A., Korjhik, M. J., Krieguer, M., Kuntner, C., Largeron, G., Lartizien, C., Larue, H., Lecoq, P., Leonard, S., Marteau, J., Morel, C., Mosset, J. B., Parl, C., Pedrini, C., Petrosyan, A. G., Pietrzyk, U., Rey, M., Saladino, S., Sappey-Marinier, D., Janier, M., Simon, L., Streun, M., Tavernier, S., and Vieira, J. M., “The ClearPET project: development of a 2-nd generation high performance small animal PET scanner”, Nucl Instr Meth Phys Res A, vol. 537, pp. 307-311, 2005.
  21. [BRAS-05]D. Brasse, Kinahan, P. E., Lartizien, C., Comtat, C., Casey, M., and Michel, C., “Correction Methods for Random Coincidences in Fully 3D Whole-Body PET: Impact on Data and Image Quality”, J Nucl Med, vol. 46, pp. 859-867, 2005.
  22. [SAPP-04]D. Sappey-Marinier, Beuf, O., Billotey, C., Chereul, E., Dupuy, J., Jeandey, M., Grenier, D., Hasserodt, J., Langlois, J. B., Lartizien, C., Mai, W., Odet, C., Samarut, J., Vray, D., Zimmer, L., and Janier, M., “The ANIMAGE project: a multimodal imaging platform for small animal research”, Nucl Instr Meth Phys Res A, vol. 527, pp. 117-123, 2004.
  23. [LART-04]C. Lartizien, Kinahan, P. E., and Comtat, C., “Volumetric model and human observer comparisons of tumor detection for whole-body PET”, Acad Radiol, vol. 11, pp. 637-648, 2004.
  24. [ZIEM-04]K. Ziemons, Auffray, E., Barbier, R., Brandenburg, G., Bruyndonckx, P., Choi, Y., Christ, D., Costes, N., Declais, Y., Devroede, O., Dujardin, C., Fedorov, A. A., Heinrichs, U., Hollendung, A., Korjhik, M. J., Krieguer, M., Kuntner, C., Largeron, G., Lartizien, C., Larue, H., Lecoq, P., Leonard, S., Marteau, J., Morel, C., Mosset, J. B., Parl, C., Pedrini, C., Petrosyan, A. G., Pietrzyk, U., Rey, M., Saladino, S., Sappey-Marinier, D., Janier, M., Simon, L., Streun, M., Tavernier, S., and Vieira, J. M., “The clearPET' LSO/LuYAP phoswich scanner: a high performance small animal PET system”, IEEE Trans Nucl Sci, vol. 527, pp. 171-174, 2004.
    http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?tp=&arnumber=1352212&isnumber=29715
  25. [KIM-04]J. S. Kim, Kinahan, P. E., Lartizien, C., Comtat, C., and Lewellen, T. K., “A comparison of planar versus volumetric numerical observers for detection task performance in whole-body PET imaging”, IEEE Trans Nucl Sci, vol. 51, pp. 34-40, 2004.
  26. [LART-03]C. Lartizien, Reilhac, A., Costes, N., Janier, M., and Sappey-Marinier, D., “Monte Carlo simulation-based design of a LSO-LuAP small animal PET system”, IEEE Trans Nucl Sci, vol. 50, pp. 1433-1438, 2003.

Conference Paper

  1. [ERBA-20]“Priority U-Net: Detection of Punctuate White Matter Lesions in Preterm Neonate in 3D Cranial Ultrasonography”, in Medical Imaging with Deep Learning - MIDL, 2020.
    https://proceedings.mlr.press/v121/erbacher20a.html
  2. [GAUT-17]“Adaptation de domaine pour la détection automatique du cancer de la prostate en imagerie IRM multiparamétrique.”, in Colloque GRETSI, Nice, France, 2017.
  3. [ALAV-17]“Feature extraction with regularized siamese networks for outlier detection: application to epilepsy lesion detection”, in Conférence sur l'apprentissage automatique (CAp2017), Grenoble, France, 2017.
  4. [AZAM-16a]“Converting SVDD scores into probability estimates”, in European Symposium on Articial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 2016.
  5. [ALJU-2015]R. Aljundi, Lehaire, J., Prost-Boucle, F., Rouvière, O., and Lartizien, C., “Transfer Learning for Prostate Cancer Mapping Based on Multicentric MR imaging databases”, in International Conference on Machine Learning, Lille, France, 2015.
  6. [AZAM-15]M. El Azami, Bouet, R., Jung, J., Hammers, A., and Lartizien, C., “Combining multi-parametric MR images for the detection of epileptogenic lesions”, in 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), New York, USA, 2015, pp. p 122-125.
  7. [NIAF-14c]E. Niaf, Flamary, R., Rakotomamonjy, A., Rouvière, O., and Lartizien, C., “SVM with feature selection and smooth prediction in images: application to CAD of prostate cancer”, in IEEE International Conference on Image Processing (ICIP), Paris, 2014.
  8. [LEHA-14]J. Lehaire, Flamary, R., Rouvière, O., and Lartizien, C., “computer aided diagnostic for prostate cancer detection and characterization combining learned dictionaries and supervised classification”, in IEEE international conference on image processing (ICIP), Paris, France, 2014.
  9. [AZAM-14]M. El Azami, Lartizien, C., and Canu, S., “Robust outlier detection with L0-SVDD”, in European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Bruges (Belgium), 2014.
  10. [LEHA-13]J. Lehaire, Lartizien, C., Niaf, E., Baumann, M., Souchon, R., Bratan, F., and Rouvière, O., “Evaluation of a 3D MR/MR elastic registration method for prostate cancer imaging”, in European Society for Magnetic Resonance in Medicine and Biology (ESMRMB), Toulouse, 2013.
  11. [AZAM-13]M. El Azami, Hammers, A., Costes, N., and Lartizien, C., “Computer Aided Diagnosis of Intractable Epilepsy with MRI Imaging Based on Textural Information”, in 2013 International Workshop on Pattern Recognition in Neuroimaging (PRNI), Philadelphia, USA, 2013, pp. 90-93.
  12. [HILA-13b]E. Hilaire, Robert, C., Lojacono, X., Lartizien, C., Buvat, I., and Maxim, V., “Imagerie Compton en protonthérapie : de la simulation GATE à la reconstruction d’images”, in XXIVème Colloque GRETSI - Traitement du Signal et des Images (GRETSI'13), Brest, France, 2013, p. 1--4.
  13. [GIBA-12]B. Gibaud, Forestier, G., Benoit-Cattin, H., Cervenansky, F., Clarysse, P., Friboulet, D., Gaignard, A., Hugonnard, P., Lartizien, C., Liebgott, H., Montagnat, J., Tabary, J., and Glatard, T., “OntoVIP: an ontology for the annotation of object models used for medical image simulation”, in IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology (HISB), La Jolla, California, USA, 2012, pp. 110-119.
  14. [NIAF-12a]E. Niaf, Flamary, R., Canu, S., Rouvière, O., and Lartizien, C., “Handling learning samples uncertainties in SVM classification: application to MRI-based prostate cancer computer-aided diagnosis”, in IEEE International Symposium on Biomedical Imaging (ISBI), Barcelona, Spain, 2012.
  15. [GLAT-12]T. Glatard, Marion, A., Benoit-Cattin, H., Camarasu-Pop, S., Clarysse, P., Ferreira da Silva, R., Forestier, G., Gibaud, B., Lartizien, C., Liebgott, H., Moulin, K., and Friboulet, D., “Multi-modality image simulation with the virtual imaging platform: Illustration on cardiac MRI and echography”, in IEEE International Symposium on Biomedical Imaging (ISBI), Barcelona, Spain, 2012, pp. 98-101.PDF icon isbi2012-vip.pdf (808.08 KB)
  16. [NIAF-12b]E. Niaf, Lartizien, C., Bratan, F., Girouin, N., Papillard, M., Pagnoux, G., Vitry, T., Chamard, L., Renosi, G., Sanzalone, T., Mège-Lechevallier, F., and Rouvière, O., “Apport d’un système CADx pour la caractérisation des zones suspectes en IRM multiparamétrique de prostate”, in Journées Françaises de Radiologie (JFR), 2012.
    http://pe.sfrnet.org/ModuleConsultationPoster/posterDetail.aspx?intIdPoster=5266
  17. [LART-12b]C. Lartizien, Rogez, M., Susset, A., Giammarile, F., Niaf, E., and Ricard, F., “Computer aided staging of lymphoma patients with FDG PET/CT imaging based on textural information”, in IEEE International Symposium on Biomedical Imaging (ISBI), Barcelona, Spain, 2012, pp. 118-121.
    http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6235498&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6235498
  18. [NIAF-11a]E. Niaf, Rouvière, O., and Lartizien, C., “Computer-aided diagnosis for prostate cancer detection in the peripheral zone via multisequence MRI”, in SPIE Medical Imaging 2011, Orlando, Florida, 2011, vol. 7963.
    http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=725423
  19. [NIAF-11e]E. Niaf, Rouvière, O., Bratan, F., Chesnais, A. - L., Mège-Lechevallier, F., and Lartizien, C., “Diagnostic assisté par ordinateur pour la détection du cancer de la prostate par IRM multi-paramétrique”, in Journées Françaises de radiologie (JFR) 2011, Paris, 2011.
    http://pe.sfrnet.org/ModuleConsultationPoster/posterDetail.aspx?intIdPoster=4603
  20. [UDOB-11]O. Udobata, Revol-Muller, C., and Lartizien, C., “Computer-aided tumor detection stemmed from the fuzzification of the Dempster-Shafer theory”, in SPIE Medical Imaging 2011: Computer-Aided Diagnosis, , Lake Buena Vista, Florida, United States, 2011, p. Proceedings Vol. 7963 .
  21. [NIAF-11b]E. Niaf, Flamary, R., Lartizien, C., and Canu, S., “Handling uncertainties in SVM classification”, in IEEE Workshop on Statistical Signal Processing, 2011, pp. 757-760.
    http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5967814&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5967814
  22. [MARA-11]S. Marache, Prost, R., Rouet, J. M., and Lartizien, C., “Incorporating Patient-Specific Variability in the OncoPET_DB Database”, in IEEE Nuclear Science Symposium and Medical Imaging Conference , 23-29 October 2011,Valencia,Spain, 2011, pp. 4184 - 4187 .
  23. [FORE-11]G. Forestier, Marion, A., Benoit-Cattin, H., Clarysse, P., Friboulet, D., Glatard, T., Hugonnard, P., Lartizien, C., Liebgott, H., Tabary, J., and Gibaud, B., “Sharing object models for multi-modality medical image simulation: a semantic approach”, in The 24th International Symposium on Computer-Based Medical Systems (CBMS 2011), Bristol, UK, 2011, pp. 1-6.PDF icon cbms2011.pdf (226.44 KB)
  24. [NIAF-11d]E. Niaf, Rouvière, O., and Lartizien, C., “Computer-Aided Diagnosis system for assisting radiologists in prostate cancer detection with Multiparametric MRI”, in Focal Therapy and Imaging in Prostate and Kidney Cancer, Noordwijk, Netherlands, 2011.
  25. [MARI-11b]A. Marion, Forestier, G., Benoit-Cattin, H., Camarasu-Pop, S., Clarysse, P., Ferreira da Silva, R., Gibaud, B., Glatard, T., Hugonnard, P., Lartizien, C., Liebgott, H., Specovius, S., Tabary, J., Valette, S., and Friboulet, D., “Multi-modality medical image simulation of biological models with the Virtual Imaging Platform (VIP)”, in The 24th International Symposium on Computer-Based Medical Systems (CBMS 2011), Bristol, UK, 2011, pp. 1-6.PDF icon cbms2011-multimod.pdf (726.29 KB)
  26. [NIAF-11c]E. Niaf, Rouvière, O., and Lartizien, C., “Aide au diagnostic du cancer de la prostate par IRM multi-sequences: une approche par classification supervisée”, in RITS - Recherche en Imagerie et Technologies pour la Santé, Rennes, France, 2011.
  27. [MARA-10]S. Marache, Lamare, F., Fayad, H., Visvikis, D., Prost, R., Rouet, J. M., and Lartizien, C., “Impact of Respiratory Motion Correction on the Detection of Small Lesions in Whole-body PET Imaging: A Simulation Study”, in IEEE Nuclear Science Symposium and Medical Imaging Conference, 30 October - 6 November 2010, Knoxville, Tennessee, USA. , 2010, pp. 3531-3533.
  28. [LART-09b]C. Lartizien, Tomei, S., and Marache, S., “Improving performance of automated detection systems for 3D PET oncology imaging by use of resampled training images”, in Proc 23rd Int CARS Conference, Berlin, Germany, 2009, vol. 4, pp. (SS186-193).
  29. [LART-09c]C. Lartizien, Marache, S., Le Pogam, A., Tomei, S., and Visvikis, D., “Impact of Partial Volume Correction in Whole-Body PET Imaging : a Computer-Aided Detection Study”, in Proc. of the 2009 IEEE NSS and MIC Conference, Orlando, USA, 2009, pp. 3214 - 3217.
  30. [LART-09a]C. Lartizien, Canaple, L., and Beuf, O., “Development and evaluation of a dedicated setup for co-registered PET/MRI abdominal imaging of the mouse”, in ISMRM, Hawai, USA, 2009, p. 3092.
  31. [TABA-09]J. Tabary, Marache, S., Valette, S., Segars, W., and Lartizien, C., “Realistic X-Ray CT Simulation of the XCAT Phantom with SINDBAD”, in Proc. of the 2009 IEEE NSS and MIC Conference, Orlando, USA, 2009, pp. 3980 - 3983.
  32. [BABO-08]L. Baboi, Milot, L., Lartizien, C., Grenier, D., Roche, C., Scoazec, J. Y., Pilleul, F., and Beuf, O., “Characterization of liver lesions in a mouse model of endocrine tumors using MRI”, in International Society of Magnetic Resonance in Medicine, Toronto, Canada, 2008, p. 2809.
  33. [TOME-08a]S. Tomei, Marache, S., Odet, C., and Lartizien, C., “Automatic detection of active nodules in 3D PET oncology imaging using the Hotelling Observer and the Support Vector Machines: a comparison study”, in Proc of the 2008 IEEE NSS and MIC Conference, Dresden, Germany, 2008, pp. 5314-5319.
  34. [TOME-08b]S. Tomei, Reilhac, A., Visvikis, D., Odet, C., Giammarile, F., Mognetti, T., and Lartizien, C., “Development of a database of realistic simulated whole body [18F]FDG PET images for lymphoma”, in Proc of the 2008 IEEE NSS and MIC Conference, Dresden, Germany, 2008, pp. 4958-4963.
  35. [BABO-07a]L. Baboi, Milot, L., Lartizien, C., Roche, C., Scoazec, J. Y., Pilleul, F., and Beuf, O., “Characterization of neuro-endocrine tumors in an athymic nude mouse model using dedicated synchronization strategies for T2-weigted MR imaging at 7T”, in Conf Proc IEEE Eng Med Biol Soc, 2007, vol. 1, pp. 2879–2882.
  36. [MILO-07e]L. Milot, Baboi, L., Beuf, O., Lartizien, C., Scoazec, J. Y., and Pilleul, F., “Suivi longitudinal par IRM de métastases hépatiques de tumeurs neuro-endocrine chez la souris nude”, in Société Nationale Française de Gastro-Entérologie, Paris, France, 2007.
  37. [LART-07]C. Lartizien, Tomei, S., Maxim, V., and Odet, C., “Combining a wavelet transform with a channelized Hotelling observer for tumor detection in 3D PET oncology imaging”, in SPIE Medical Imaging Conference, San Diego, USA, 2007, pp. 1-10.
  38. [TOME-07b]S. Tomei, Odet, C., and Lartizien, C., “Détection d'hyper signaux en Tomographie par Emission de Positons 3D : Approche statistique basée sur la combinaison d'une transformée en ondelettes discrète avec un test de Hotelling”, in Colloque GRETSI, Troyes, France, 2007, pp. 869-872.
  39. [BABO-07b]L. Baboi, Milot, L., Lartizien, C., Roche, C., Pilleul, F., Scoazec, J. Y., and Beuf, O., “Characterization of Neuro-Endocrine Tumors in an Athymic Nude Mouse Model Using Dedicated Synchronization Strategies for T2-Weigted MR Imaging at 7T”, in 29th IEEE EMBS Annual International Conference, Lyon, France, 2007.
  40. [BABO-06]L. Baboi, Milot, L., Pilleul, F., Lartizien, C., and Beuf, O., “Synchronization strategies in T2-weighted MR imaging for detection of mouse liver metastasis”, in International Society of Magnetic Resonance in Medicine, 14th Scientific Meeting, Seattle, Washington, USA, 2006, p. 2217.
  41. [LART-06]C. Lartizien, Kuntner, C., and Reilhac, A., “Validation of SORTEO Monte Carlo simulations for the geometry of the microPET Focus 220 system”, in EuroMedIm, Marseille, France, 2006.
  42. [LART-05a]C. Lartizien, Goertzen, A. L., Reilhac, A., Costes, N., Magnin, I. E., Gimenez, G., and Evans, A. C., “Validation of SORTEO Monte Carlo Simulations for the Geometry of the Concorde MicroPET R4 System”, in Proc of the 2005 IEEE NSS and MIC Conference, Puerto Rico, USA, 2005, pp. 3036-3039.
  43. [LART-05b]C. Lartizien and Buvat, I., “Comparison of 3D PET data bootstrap resampling methods for numerical observers studies”, in Proc of the 2005 IEEE NSS and MIC Conference, Puerto Rico, USA, 2005, pp. 2138-2147.
  44. [ZIEM-04b]K. Ziemons, Auffray, E., Bruyndonckx, P., Fedorov, A., Korzhik, M., Lartizien, C., Lecoq, P., Morel, C., Pedrini, C., Petrosyan, A., Pietrzyk, U., Sappey-Marinier, D., Streun, M., and Tavernier, S., “The ClearPET LSO/LuYAP Phoswich Camera: A high Performance Small Animal PET System”, in IEEE-MIC, Portland, USA, 2004, p. (in-press).
  45. [LART-03a]C. Lartizien, Costes, N., Janier, M., and Sappey-Marinier, D., “Simulated performance characteristics of the Lyon ClearPET scanner”, in Second ITBS meeting, Milos, Greece, 2003.
  46. [ZIEM-03]K. Ziemons, Auffray, E., Bruyndonckx, P., Federov, A., Korzhik, M., Lartizien, C., Lecoq, P., Morel, C., Pédrini, C., Petrosyan, A., Sappey-Marinier, D., Streun, M., and Tavernier, S., “Research and development of LuAP crystals for small animal PET prototype”, in SCINT Proceedings, Valencia, Spain, 2003.
  47. [AUFF-03]E. Auffray, Bruyndonckx, P., Fedorov, A., Korjik, M., Krieguer, M., Kuntner, C., Leonard, S., Lartizien, C., Lecoq, P., Morel, C., Mosset, J. B., Pedrini, C., Petrosyan, A., Pietrzyk, U., Rey, M., Saladino, S., Sappey-Marinier, D., Simon, L., Streun, M., Tavernier, S., and Ziemons, K., “The ClearPET project”, in Second ITBS meeting, Milos, Greece, 2003, p. (in-press).
  48. [SAPP-03b]D. Sappey-Marinier, Lartizien, C., Costes, N., Barbier, R., Marteau, J., Dujardin, C., Pédrini, C., Lecoq, P., Tavernier, S., and Janier, M., “Développement instrumental d'un prototype de microTEP pour l'étude de la souris transgénique”, in 41ème Congrès de la Société Française de Biophysique et de Médecine Nucléaire, Tours, France, 2003, p. (in-press).
  49. [LART-03b]C. Lartizien, Costes, N., Reilhac, A., Janier, M., and Sappey-Marinier, D., “The ClearPET project: Development of a 2nd generation high performance small animal PET scanner”, in Second AMI meeting, Madrid, Spain, 2003.

Conference Proceedings

  1. [BABO-07]L. Baboi, Milot, L., Lartizien, C., Roche, C., Scoazec, J. Y., Pilleul, F., and Beuf, O., “Characterization of neuro-endocrine tumors in an athymic nude mouse model using dedicated synchronization strategies for T2-weigted MR imaging at 7T.”, Conf Proc IEEE Eng Med Biol Soc. pp. 2879-82, 2007.
    http://dx.doi.org/10.1109/IEMBS.2007.4352930

Thesis

  1. [NIAF-12c]E. Niaf, “Aide au diagnostic du cancer de la prostate par IRM multi-paramétrique : une approche par classification supervisée”, Université Claude Bernard Lyon 1, Lyon, 2012.
    Jury : Isabelle Bloch (rapporteur), Michèle Rombaut (rapporteur), Olivier Basset, Stéphane Canu, Olivier Rouvière (superviseur), Carole Lartizien (co-superviseur)
    http://www.creatis.insa-lyon.fr/~niaf/These_ENIAF.pdf

Miscellaneous

  1. [HILA-13a]E. Hilaire, Robert, C., Lojacono, X., Lartizien, C., Buvat, I., and Maxim, V., “Compton imaging in proton beam therapy: from GATE simulations to image reconstruction”, Interdisciplinary Symposium on Signals and Systems for Medical Applications. Paris, France, 2013.
  2. [GIBA-12]B. Gibaud, Forestier, G., Benoit-Cattin, H., Cervenansky, F., Clarysse, P., Friboulet, D., Gaignard, A., Hugonnard, P., Lartizien, C., Liebgott, H., Montagnat, J., Tabary, J., and Glatard, T., “Design of an ontology for the annotation of object models used for medical image simulation”. Lyon, 2012.
  3. [GREN-10]T. Grenier and Lartizien, C., “Architecture de fusion modulaire pour l'assistance au diagnostic médical, Réunion des GDR STIC-SANTE Thème B: "Signaux et Images en santé" et GDR ISIS Thème B : "Image et Vision" GDR ISIS”. 2010.
  4. [REVO-10]C. Revol-Muller, Grenier, T., and Lartizien, C., “Architecture de fusion modulaire pour l'assistance au diagnostic médical”, Réunion des GDR STIC-SANTE Thème B: "Signaux et Images en santé" et GDR ISIS Thème B : "Image et Vision" GDR ISIS, Journée thématique commune : Avancées en fusion de données. 2010.