Publications of Tommaso Mansi

1. Oscar Camara, Tommaso Mansi, Mihaela Pop, Kawal Rhode, Maxime Sermesant, and Alistair Young, editors. Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges, volume 8896 of Lecture Notes in Computer Science, Boston, United States, 2015. Springer. [bibtex-entry]

1. Tommaso Mansi. Image-Based Physiological and Statistical Models of the Heart, Application to Tetralogy of Fallot. Thèse de sciences (PhD Thesis), Ecole Nationale Supérieure des Mines de Paris, September 2010. [bibtex-entry]

1. Carlos Albors, Èric Lluch, Juan Francisco Gomez, Nicolas Cedilnik, Konstantinos Mountris, Tommaso Mansi, Svyatoslav Khamzin, Arsenii Dokuchaev, Olga Solovyova, Esther Pueyo, Maxime Sermesant, Rafael Sebastian, Hernán Morales, and Oscar Camara. Meshless Electrophysiological Modeling of Cardiac Resynchronization Therapy-Benchmark Analysis with Finite-Element Methods in Experimental Data. Applied Sciences, 12(13):6438, July 2022. [bibtex-entry]



2. Julian Krebs, Hervé Delingette, Nicholas Ayache, and Tommaso Mansi. Learning a Generative Motion Model from Image Sequences based on a Latent Motion Matrix. IEEE Transactions on Medical Imaging, February 2021. Keyword(s): motion model, deformable registration, conditional variational autoencoder, gaussian process, latent variable model, motion interpolation, motion simulation, tracking. [bibtex-entry]



3. Julian Krebs, Tommaso Mansi, Hervé Delingette, Bin Lou, Joao Lima, Susumu Tao, Luisa Ciuffo, Sanaz Norgard, Barbara Butcher, Wei Lee, Ela Chamera, Timm-Michael Dickfeld, Michael Stillabower, Joseph Marine, Robert Weiss, Gordon Tomaselli, Henry Halperin, Katherine Wu, and Hiroshi Ashikaga. CinE caRdiac magneTic resonAnce to predIct veNTricular arrhYthmia (CERTAINTY). Scientific Reports, 11(1):22683, November 2021. Keyword(s): Cardiac device therapy, Ventricular fibrillation, Ventricular tachycardia. [bibtex-entry]



4. Julian Krebs, Hervé Delingette, Boris Mailhé, Nicholas Ayache, and Tommaso Mansi. Learning a Probabilistic Model for Diffeomorphic Registration. IEEE Transactions on Medical Imaging, pp 2165-2176, February 2019. Keyword(s): deformable registration, deformation transport, latent variable model, probabilistic encoding, conditional variational autoencoder, deep learning. [bibtex-entry]



5. Chloé Audigier, Tommaso Mansi, Hervé Delingette, Saikiran Rapaka, Tiziano Passerini, Viorel Mihalef, Marie-Pierre Jolly, Raoul Pop, Michele Diana, Luc Soler, Ali Kamen, Dorin Comaniciu, and Nicholas Ayache. Comprehensive Pre-Clinical Evaluation of a Multi-physics Model of Liver Tumor Radiofrequency Ablation. International Journal of Computer Assisted Radiology and Surgery, December 2016. [bibtex-entry]



6. Chloé Audigier, Tommaso Mansi, Hervé Delingette, Saikiran Rapaka, Viorel Mihalef, Daniel Carnegie, Emad Boctor, Michael Choti, Ali Kamen, Nicholas Ayache, and Dorin Comaniciu. Efficient Lattice Boltzmann Solver for Patient-Specific Radiofrequency Ablation of Hepatic Tumors. IEEE Transactions on Medical Imaging, 34(issue 7):p 1576-1589, 2015. Keyword(s): Radio Frequency ablation, Patient-Specific Simulation, Lattice Boltzmann Method, Heat Transfer, Computational Fluid Dynamics, Therapy Planning. [bibtex-entry]



7. Romain Guibert, Kristin Mcleod, Alfonso Caiazzo, Tommaso Mansi, Miguel Angel Fernández, Maxime Sermesant, Xavier Pennec, Irene Vignon-Clementel, Younes Boudjemline, and Jean-Frédéric Gerbeau. Group-wise Construction of Reduced Models for Understanding and Characterization of Pulmonary Blood Flows from Medical Images. Medical Image Analysis, 18(1):63-82, 2014. Keyword(s): Computational fluid dynamics, Pulmonary artery, Tetralogy of Fallot, Atlas construction, Proper orthogonal decomposition. [bibtex-entry]



8. Benedetta Leonardi, Andrew Taylor, Tommaso Mansi, Ingmar Voigt, Maxime Sermesant, Xavier Pennec, Nicholas Ayache, Younes Boudjemline, and Giacomo Pongiglione. Computational modelling of the right ventricle in repaired tetralogy of Fallot: can it provide insight into patient treatment?. European Heart Journal - Cardiovascular Imaging, 14(4):381-6, April 2013. [bibtex-entry]



9. Catalina Tobon-Gomez, Mathieu de Craene, Kristin Mcleod, Lennart Tautz, Wenzhe Shi, Anja Hennemuth, Adityo Prakosa, Hengui Wang, Gerald Carr-White, Sergio Kapetanakis, Albert Lutz, Vernon Rasche, Tobias Schaeffter, Constantin Butakoff, Oskar Friman, Tommaso Mansi, Maxime Sermesant, Xiahai Zhuang, Sébastien Ourselin, Hans Otto Peitgen, Xavier Pennec, Reza Razavi, Daniel Rueckert, Alejandro F. Frangi, and Kawal Rhode. Benchmarking framework for myocardial tracking and deformation algorithms: an open access database. Medical Image Analysis, 17(6):632-648, 2013. [bibtex-entry]



10. Kristin Mcleod, Tommaso Mansi, Maxime Sermesant, Giacomo Pongiglione, and Xavier Pennec. Statistical Shape Analysis of Surfaces in Medical Images Applied to the Tetralogy of Fallot Heart. In Frederic Cazals and Pierre Kornprobst, editors, Modeling in Computational Biology and Biomedicine, Lectures Notes in Mathematical and Computational Biology, pages 165-191. Springer, 2013. [bibtex-entry]



11. M. Pop, Maxime Sermesant, G. Liu, Jatin Relan, Tommaso Mansi, A. Soong, Jean-Marc Peyrat, M.V. Truong, P. Fefer, Elliot R. McVeigh, Hervé Delingette, A.J. Dick, Nicholas Ayache, and G.A Wright. Construction of 3D MR image-based computer models of pathologic hearts, augmented with histology and optical fluorescence imaging to characterize action potential propagation. Medical Image Analysis, 16(2):505-523, February 2012. [bibtex-entry]



12. Maxime Sermesant, R. Chabiniok, P. Chinchapatnam, Tommaso Mansi, F. Billet, P. Moireau, Jean-Marc Peyrat, Ken C. L. Wong, Jatin Relan, Kawal Rhode, M. Ginks, P. Lambiase, Hervé Delingette, M. Sorine, C. Aldo Rinaldi, D. Chapelle, Reza Razavi, and Nicholas Ayache. Patient-specific electromechanical models of the heart for the prediction of pacing acute effects in CRT: A preliminary clinical validation. Medical Image Analysis, 16(1):201-215, 2012. [bibtex-entry]



13. Tommaso Mansi, Xavier Pennec, Maxime Sermesant, Hervé Delingette, and Nicholas Ayache. iLogDemons: A Demons-Based Registration Algorithm for Tracking Incompressible Elastic Biological Tissues. International Journal of Computer Vision, 92(1):92-111, 2011. [bibtex-entry]



14. Tommaso Mansi, Ingmar Voigt, Benedetta Leonardi, Xavier Pennec, Stanley Durrleman, Maxime Sermesant, Hervé Delingette, Andrew M. Taylor, Younes Boudjemline, Giacomo Pongiglione, and Nicholas Ayache. A Statistical Model for Quantification and Prediction of Cardiac Remodelling: Application to Tetralogy of Fallot. IEEE Transactions on Medical Imaging, 9(30):1605-1616, September 2011. [bibtex-entry]



15. M. Pop, M. Sermesant, T. Mansi, E. Crystal, S. Ghate, J. Peyrat, I. Lashevsky, Beiping Qiang, E. McVeigh, N. Ayache, and G.A. Wright. Correspondence Between Simple 3-D MRI-Based Computer Models and In-Vivo EP Measurements in Swine With Chronic Infarctions. Biomedical Engineering, IEEE Transactions on, 58(12):3483-3486, dec. 2011. ISSN: 0018-9294. [bibtex-entry]



16. Tommaso Mansi, Barbara André, Michael Lynch, Maxime Sermesant, Hervé Delingette, Younes Boudjemline, and Nicholas Ayache. Virtual Pulmonary Valve Replacement Interventions with a Personalised Cardiac Electromechanical Model. In Nadia Magnenat-Thalmann, Jian J. Zhang, and David D. Feng, editors, Recent Advances in the 3D Physiological Human, pages 201-210. Springer, November 2009. ISBN: 978-1-84882-564-2. [bibtex-entry]



17. M Sermesant, J M Peyrat, P Chinchapatnam, F Billet, T Mansi, K Rhode, H Delingette, R Razavi, and N Ayache. Toward patient-specific myocardial models of the heart. Heart Failure Clinics, 4(3):289-301, July 2008. [bibtex-entry]



18. O. Colliot, T. Mansi, N. Bernasconi, V. Naessens, D. Klironomos, and A. Bernasconi. Segmentation of focal cortical dysplasia lesions on MRI using level set evolution. NeuroImage, 32(4):1621-1630, October 2006. [Abstract] [bibtex-entry]

1. Julian Krebs, Tommaso Mansi, Nicholas Ayache, and Hervé Delingette. Probabilistic Motion Modeling from Medical Image Sequences: Application to Cardiac Cine-MRI. In STACOM 2019 - 10th Workshop on Statistical Atlases and Computational Modelling of the Heart, Shenzhen, China, October 2019. Note: Probabilistic Motion Model, Motion Tracking, Temporal Super-Resolution, Diffeomorphic Registration, Temporal Variational Autoencoder. [bibtex-entry]



2. Julian Krebs, Tommaso Mansi, Boris Mailhé, Nicholas Ayache, and Hervé Delingette. Unsupervised Probabilistic Deformation Modeling for Robust Diffeomorphic Registration. In Deep Learning in Medical Image Analysis (MICCAI workshop), Granada, Spain, September 2018. Keyword(s): Image registration, Deep learning, Medical imaging analysis. [bibtex-entry]



3. Julian Krebs, Tommaso Mansi, Hervé Delingette, Li Zhang, Florin C Ghesu, Shun Miao, Andreas Maier, Nicholas Ayache, Rui Liao, and Ali Kamen. Robust non-rigid registration through agent-based action learning. In Medical Image Computing and Computer Assisted Interventions (MICCAI), Medical Image Computing and Computer Assisted Intervention -- MICCAI 2017, Quebec, Canada, pages 344-352, September 2017. Springer International Publishing. Keyword(s): reinforcement learning, Image registration. [bibtex-entry]



4. Chloé Audigier, Tommaso Mansi, Hervé Delingette, Saikiran Rapaka, Tiziano Passerini, Viorel Mihalef, Raoul Pop, Michele Diana, Luc Soler, Ali Kamen, Dorin Comaniciu, and Nicholas Ayache. Challenges to Validate Multi-physics Model of Liver Tumor Radiofrequency Ablation from Pre-clinical Data. In Computational Biomechanics for Medicine X, Munich, Germany, pages 29-40, October 2015. [bibtex-entry]



5. Roch Molléro, Dominik Neumann, Marc-Michel Rohé, Manasi Datar, Herve Lombaert, Nicholas Ayache, Dorin Comaniciu, Olivier Ecabert, Marcello Chinali, Gabriele Rinelli, Xavier Pennec, Maxime Sermesant, and Tommaso Mansi. Propagation of Myocardial Fibre Architecture Uncertainty on Electromechanical Model Parameter Estimation: A Case Study. In Functional Imaging and Modeling of the Heart, LNCS., 8th International Conference, FIMH 2015, Maastricht, The Netherlands, June 25-27, 2015. Proceedings, Maastricht, Netherlands, pages 448-456, June 2015. [bibtex-entry]



6. Chloé Audigier, Tommaso Mansi, Hervé Delingette, Saikiran Rapaka, Viorel Mihalef, Daniel Carnegie, Emad Boctor, Michael Choti, Ali Kamen, Dorin Comaniciu, and Nicholas Ayache. Parameter Estimation For Personalization of Liver Tumor Radiofrequency Ablation. In MICCAI Workshop on Abdominal Imaging -- Computational and Clinical Applications, Boston, United States, September 2014. [bibtex-entry]



7. Chloé Audigier, Tommaso Mansi, Hervé Delingette, Saikiran Rapaka, Viorel Mihalef, Puneet Sharma, Ali Kamen, Daniel Carnegie, Emad Boctor, Michael Choti, Dorin Comaniciu, and Nicholas Ayache. Lattice Boltzmann Method For Fast Patient-Specific Simulation of Liver Tumor Ablation from CT Images. In Kensaku Mori, Ichiro Sakuma, Yoshinobu Sato, Christian Barillot, and Nassir Navab, editors, MICCAI - Medical Image Computing and Computer Assisted Intervention - 2013, volume 8151 of Lecture Notes in Computer Science - LNCS, Nagoya, Japan, pages 323-330, September 2013. Springer. [bibtex-entry]



8. Kristin McLeod, Adityo Prakosa, Tommaso Mansi, Maxime Sermesant, and Xavier Pennec. An Incompressible Log-Domain Demons Algorithm for Tracking Heart Tissue. In Proc. MICCAI Workshop on Statistical Atlases and Computational Models of the Heart: Mapping Structure and Function (STACOM11), number 7085 of LNCS, Toronto, pages 55-67, September 2012. Springer. [bibtex-entry]



9. Mihaela Pop, Maxime Sermesant, Jean-Marc Peyrat, Eugene Crystal, Sudip Ghate, Tommaso Mansi, Ilan Lashevsky, Beiping Qiang, Elliot R. McVeigh, Nicholas Ayache, and Graham A. Wright. A 3D MRI-Based Cardiac Computer Model to Study Arrhythmia and Its In-vivo Experimental Validation. In FIMH, pages 195-205, 2011. [bibtex-entry]



10. Tommaso Mansi, Xavier Pennec, Maxime Sermesant, Hervé Delingette, and Nicholas Ayache. LogDemons Revisited: Consistent Regularisation and Incompressibility Constraint for Soft Tissue Tracking in Medical Images. In Proc. of Medical Image Computing and Computer-Assisted Intervention (MICCAI'10), part II, volume 6362 of LNCS, Beijing, China, pages 652-659, September 2010. [bibtex-entry]



11. Tommaso Mansi, Maxime Sermesant, Hervé Delingette, Xavier Pennec, Nicholas Ayache, and Younes Boudjemline. Modèles numériques pour la simulation et la prédiction de la fonction cardiaque. In Congrès de la Société Francaise de Pédiatrie et de l'Association des Pédiatres de Langue Française (APLF), 2010. Note: Archives de Pédiatrie 17(6):611-2, PMID: 20654804. [bibtex-entry]



12. Kristin McLeod, Alfonso Caiazzo, Miguel A. Fernández, Tommaso Mansi, Irene E. Vignon-Clementel, Maxime Sermesant, Xavier Pennec, Younes Boudjemline, and Jean-Frederic Gerbeau. Atlas-Based Reduced Models of Blood Flows for Fast Patient-Specific Simulations. In Proc. MICCAI Workshop on Statistical Atlases and Computational Models of the Heart: Mapping Structure and Function + a Cardiac Electrophysiological Simulation Challenge (STACOM+CESC'10), volume 6364 of LNCS, Beijing, pages 95-104, September 2010. Springer. [bibtex-entry]



13. Aldo C. Rinaldi, P.D. Lambiase, Maxime Sermesant, Phani Chinchapatnam, S. Rhode, Kawal, Simon B. Duckett, Anoop Shetty, Radomir Chabiniok, Tommaso Mansi, Florence Billet, Jean-Marc Peyrat, Hervé Delingette, Philippe Moireau, Michel Sorine, Dominique Chapelle, Nicholas Ayache, Matthew Ginks, and Reza Razavi. Biophysical Modelling To Predict Acute Hemodynamic Response To Cardiac Resynchronization Therapy In Human. In Heart Rhythm 2010 : 31st Annual Scientific Sessions, Denver, États-Unis, 2010. [bibtex-entry]



14. Ken C. L. Wong, Florence Billet, Tommaso Mansi, R. Chabiniok, Maxime Sermesant, Hervé Delingette, and Nicholas Ayache. Cardiac motion estimation using a proactive deformable model: evaluation and sensitivity analysis. In MICCAI Workshop on Statistical Atlases and Computational Models of the Heart: Mapping Structure and Function (STACOM) and a Cardiac Electrophysiological Simulation Challenge (CESC'10), volume 6364 of LNCS, pages 154-163, 2010. Springer. [bibtex-entry]



15. Hans Lamecker, Tommaso Mansi, Jatin Relan, Florence Billet, Maxime Sermesant, Nicholas Ayache, and Hervé Delingette. Adaptive Tetrahedral Meshing for Personalized Cardiac Simulations. In MICCAI Workshop on Cardiovascular Interventional Imaging and Biophysical Modelling (CI2BM09), London United Kingdom, pages 149-158, 2009. Keyword(s): elements, modeling, mesh quality, mesh size control. [Abstract] [bibtex-entry]



16. Tommaso Mansi, Stanley Durrleman, Boris Bernhardt, Maxime Sermesant, Hervé Delingette, Ingmar Voigt, Philipp Lurz, Andrew M Taylor, Julie Blanc, Younes Boudjemline, Xavier Pennec, and Nicholas Ayache. A Statistical Model of Right Ventricle in Tetralogy of Fallot for Prediction of Remodelling and Therapy Planning. In Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI'09), volume 5761 of Lecture Notes in Computer Science, London, UK, pages 214-221, September 2009. Springer. [bibtex-entry]



17. Tommaso Mansi, Jean-Marc Peyrat, Maxime Sermesant, Hervé Delingette, Julie Blanc, Younes Boudjemline, and Nicholas Ayache. Physically-Constrained Diffeomorphic Demons for the Estimation of 3D Myocardium Strain from Cine-MRI. In Proceedings of Functional Imaging and Modeling of the Heart 2009 (FIMH'09), volume 5528 of LNCS, pages 201-210, 3-5 June 2009. [bibtex-entry]



18. Mihaela Pop, Maxime Sermesant, Tommaso Mansi, Eugene Crystal, Jay Detsky, _Yuesong Yang, Paul Fefer, Elliot McVeigh, Alexander Dick, Nicholas Ayache, and Graham Wright. Characterization of Post-infarct Scars in a Porcine Model - a Combined Experimental and Theoretical Study. In Proceedings of Functional Imaging and Modeling of the Heart 2009 (FIMH'09), volume 5528 of LNCS, pages 1-10, 3-5 June 2009. [bibtex-entry]



19. Maxime Sermesant, Florence Billet, Radomir Chabiniok, Tommaso Mansi, Phani Chinchapatnam, Philippe Moireau, Jean-Marc Peyrat, Kawal Rhode, Matt Ginks, Pier Lambiase, Simon Arridge, Hervé Delingette, Michel Sorine, Aldo Rinaldi, Dominique Chapelle, Reza Razavi, and Nicholas Ayache. Personalised Electromechanical Model of the Heart for the Prediction of the Acute Effects of Cardiac Resynchronisation Therapy. In Proceedings of Functional Imaging and Modeling of the Heart 2009 (FIMH'09), volume 5528 of LNCS, pages 239-248, 3-5 June 2009. [bibtex-entry]



20. N. Toussaint, T. Mansi, H. Delingette, Nicholas Ayache, and M. Sermesant. An Integrated Platform for Dynamic Cardiac Simulation and Image Processing: Application to Personalised Tetralogy of Fallot Simulation. In Proc. Eurographics Workshop on Visual Computing for Biomedicine (VCBM), Delft, The Netherlands, 2008. Keyword(s): Cardiac Simulation, Freeware, Dynamics, Visualization, VTK. [bibtex-entry]



21. J. L. Landabaso, T. Mansi, C. Molina, K. Zangelin, P. Enfedaque, J. Canadas, and L. Lizcano. A 3D Videoconferencing System with 2D Backwards Compatibility. In IEEE, editor, Proc. 3DTV Conference 2007, pages 1-4, 2007. [bibtex-entry]



22. O. Colliot, T. Mansi, P. Besson, N. Bernasconi, and A. Bernasconi. Improved segmentation of focal cortical dysplasia lesions on MRI using expansion towards cortical boundaries. In 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro (ISBI), pages 323-326, 2006. [Abstract] [bibtex-entry]



23. O. Colliot, T. Mansi, N. Bernasconi, V. Naessens, D. Klironomos, and A. Bernasconi. A level set driven by MR features of focal cortical dysplasia for lesion segmentation. In Medical Image Understanding and Analysis (MIUA), pages 239-242, 2005. [bibtex-entry]



24. O. Colliot, T. Mansi, N. Bernasconi, V. Naessens, D. Klironomos, and A. Bernasconi. Segmentation of Focal Cortical Dysplasia Lesions Using a Feature-Based Level Set. In Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI'05), volume 3749 of Lecture Notes in Computer Science, Palm Springs (CA), USA, pages 375-382, 2005. Springer. [Abstract] [bibtex-entry]

1. Xavier Pennec, Curzio Basso, Younes Boudjemline, Stanley Durrleman, Ender Konukoglu, Tommaso Mansi, Kristin McLeod, Giacomo Pongiglione, Matteo Santoro, Maxime Sermesant, Bertrand Stos, Nicolas Toussaint, and Gianluca Trocchio. Third generation disease models: Image analysis tools, pediatric heart diseases, inflammatory diseases and brain tumors. Deliverables D11.4, European project Health-e-Child (IST-2004-027749), April 2010. [bibtex-entry]



2. Xavier Pennec, Curzio Basso, Younes Boudjemline, Stanley Durrleman, Ender Konukoglu, Tommaso Mansi, Giacomo Pongiglione, Matteo Santoro, Maxime Sermesant, Bertrand Stos, Nicolas Toussaint, and Gianluca Trocchio. First generation disease models: Image analysis tools, pediatric heart diseases, inflammatory diseases and brain tumors. Deliverables D11.2, European project Health-e-Child (IST-2004-027749), June 2007. [bibtex-entry]

1. Julian Krebs, Hiroshi Ashikaga, Tommaso Mansi, Bin Lou, Katherine Chih-Ching Wu, and Henry Halperin. Risk prediction for sudden cardiac death from image derived cardiac motion and structure features. US20210059612A1, United States, March 2021. [bibtex-entry]



2. Julian Krebs, Tommaso Mansi, and Bin Lou. Patient specific risk prediction of cardiac events from image-derived cardiac function features. US20210057104A1, United States, February 2021. [bibtex-entry]



3. Julian Krebs and Tommaso Mansi. Method and System for Deep Motion Model Learning in Medical Images. US20200090345A1, United States, March 2020. [bibtex-entry]



4. Julian Krebs, Tommaso Mansi, Hervé Delingette, and Nicholas Ayache. Probabilist Motion Model for Generating Medical Images or Medical Image Sequences. US16834269, United States, October 2020. [bibtex-entry]



5. Julian Krebs, Hervé Delingette, Nicholas Ayache, Tommaso Mansi, and Shun Miao. Medical Imaging Diffeomorphic Registration based on Machine Learning. US 2019/0205766 A1, United States, July 2019. [bibtex-entry]



6. Chloé Audigier, Tommaso Mansi, Saikiran Rapaka, Ali Kamen, Viorel Mihalef, Hervé Delingette, Nicholas Ayache, and Dorin Comaniciu. System and method for personalized computation of tissue ablation extent based on medical images. US 2015/0242588 A1, United States, August 2015. [bibtex-entry]



7. Chloé Audigier, Tommaso Mansi, Viorel Mihalef, Ali Kamen, Dorin Comaniciu, Puneet Sharma, and Saikiran Rapaka. System and method for interactive patient specific simulation of radiofrequency ablation therapy. PCT/US2014/017886, United States, September 2014. [bibtex-entry]



8. Chloé Audigier, Tommaso Mansi, Viorel Mihalef, Ali Kamen, Dorin Comaniciu, Puneet Sharma, Saikiran Rapaka, Hervé Delingette, and Nicholas Ayache. System and method for patient specific modeling of liver tumor ablation. US 2014/0136174 A1, United States, May 2014. [bibtex-entry]

1. Kristin McLeod, Tommaso Mansi, Stanley Durrleman, Maxime Sermesant, and Xavier Pennec. Statistical Analysis of the Anatomy: From Digital Patient to Digital Population. First VPH Conference (VPH2010), Brussels), September 2010. Note: Abstract. [bibtex-entry]



2. Tommaso Mansi, Barbara André, Maxime Sermesant, Hervé Delingette, Nicholas Ayache, and Younes Boudjemline. Simulation personnalisée de replacements valvulaires pulmonaires grâce à l'utilisation d'un modèle mathématique du coeur. Archives de Pédiatrie - Congrès des Sociétés Françaises Médico-chirurgicales Pédiatriques, June 2009. [bibtex-entry]



3. Tommaso Mansi, Maxime Sermesant, Martin Huber, Andrew Taylor, Giacomo Pongiglione, Xavier Pennec, and Younes Boudjemline. Modélisation électromécanique du coeur et analyse d'images. Archives de Pédiatrie - Congrès des Sociétés Françaises Médico-chirurgicales Pédiatriques, February 2008. Note: Archives de Pédiatrie 15(5):1032 -- Special award for best presentation. [bibtex-entry]



4. N. Bernasconi, P. Besson, T. Mansi, and A. Bernasconi. MRI Texture Analysis Enhances the Visibility of Cortical Tubers in Tuberous Sclerosis. Annual Meeting of the American Epilepsy Society AES 2006 (abstracts), 2006. [bibtex-entry]



5. T. Mansi. Automatic Segmentation of Focal Cortical Dysplasia Lesions on MRI Images using Geometric Deformable Models. Master's thesis, Politecnico di Torino (Italy) / ENST Paris (France), 2005. [bibtex-entry]



6. O. Colliot, T. Mansi, N. Bernasconi, V. Naessens, D. Klironomos, and A. Bernasconi. Automatic delineation of focal cortical dysplasia lesion on MRI. Annual Meeting of the American Epilepsy Society AES 2005 (abstracts), 2005. [bibtex-entry]

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