Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDHervé Delingette
Herve Delingette
Person information
- affiliation: INRIA, France
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j82]Paul Tourniaire
, Marius Ilie, Paul Hofman, Nicholas Ayache, Hervé Delingette:
MS-CLAM: Mixed supervision for the classification and localization of tumors in Whole Slide Images. Medical Image Anal. 85: 102763 (2023)- [c127]Hind Dadoun, Hervé Delingette, Anne-Laure Rousseau, Eric de Kerviler, Nicholas Ayache:
Joint Representation Learning from French Radiological Reports and Ultrasound Images. ISBI 2023: 1-5 - [i26]Zihao Wang, Yingyu Yang, Maxime Sermesant, Hervé Delingette, Ona Wu:
Zero-shot-Learning Cross-Modality Data Translation Through Mutual Information Guided Stochastic Diffusion. CoRR abs/2301.13743 (2023) - 2022
- [j81]Zihao Wang, Thomas Demarcy, Clair Vandersteen, Dan Gnansia, Charles Raffaelli, Nicolas Guevara, Hervé Delingette:
Bayesian logistic shape model inference: Application to cochlear image segmentation. Medical Image Anal. 75: 102268 (2022) - [j80]Benoît Audelan, Dimitri Hamzaoui, Sarah Montagne, Raphaële Renard-Penna, Hervé Delingette:
Robust Bayesian fusion of continuous segmentation maps. Medical Image Anal. 78: 102398 (2022) - [j79]Nathan Blanken, Jelmer M. Wolterink, Hervé Delingette, Christoph Brune, Michel Versluis, Guillaume Lajoinie:
Super-Resolved Microbubble Localization in Single-Channel Ultrasound RF Signals Using Deep Learning. IEEE Trans. Medical Imaging 41(9): 2532-2542 (2022) - [c126]Dimitri Hamzaoui, Sarah Montagne, Raphaële Renard-Penna, Nicholas Ayache, Hervé Delingette:
MOrphologically-Aware Jaccard-Based ITerative Optimization (MOJITO) for Consensus Segmentation. UNSURE@MICCAI 2022: 3-13 - [c125]Huiyu Li, Nicholas Ayache, Hervé Delingette:
Data Stealing Attack on Medical Images: Is It Safe to Export Networks from Data Lakes? DeCaF/FAIR@MICCAI 2022: 28-36 - [c124]Zihao Wang, Yingyu Yang, Maxime Sermesant, Hervé Delingette:
Unsupervised Echocardiography Registration Through Patch-Based MLPs and Transformers. STACOM@MICCAI 2022: 168-178 - [i25]Nathan Blanken, Jelmer M. Wolterink, Hervé Delingette, Christoph Brune, Michel Versluis, Guillaume Lajoinie:
Super-Resolved Microbubble Localization in Single-Channel Ultrasound RF Signals Using Deep Learning. CoRR abs/2204.04537 (2022) - [i24]Huiyu Li, Nicholas Ayache, Hervé Delingette:
Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes? CoRR abs/2206.03391 (2022) - [i23]Zihao Wang, Yingyu Yang, Maxime Sermesant, Herve Delingette:
Unsupervised Echocardiography Registration through Patch-based MLPs and Transformers. CoRR abs/2211.11687 (2022) - 2021
- [j78]Zihao Wang, Clair Vandersteen, Thomas Demarcy, Dan Gnansia, Charles Raffaelli, Nicolas Guevara, Hervé Delingette:
Inner-ear augmented metal artifact reduction with simulation-based 3D generative adversarial networks. Comput. Medical Imaging Graph. 93: 101990 (2021) - [j77]Benoît Audelan, Hervé Delingette:
Unsupervised quality control of segmentations based on a smoothness and intensity probabilistic model. Medical Image Anal. 68: 101895 (2021) - [j76]Julian Krebs, Hervé Delingette, Nicholas Ayache, Tommaso Mansi:
Learning a Generative Motion Model From Image Sequences Based on a Latent Motion Matrix. IEEE Trans. Medical Imaging 40(5): 1405-1416 (2021) - [c123]Paul Tourniaire, Marius Ilie, Paul Hofman, Nicholas Ayache, Herve Delingette:
Attention-based Multiple Instance Learning with Mixed Supervision on the Camelyon16 Dataset. COMPAY@MICCAI 2021: 216-226 - [c122]Florent Jousse, Xavier Pennec, Hervé Delingette, Matilde Gonzalez:
Geodesic squared exponential kernel for non-rigid shape registration. FG 2021: 1-8 - [c121]Hind Dadoun, Hervé Delingette, Anne-Laure Rousseau, Eric de Kerviler, Nicholas Ayache:
Combining Bayesian And Deep Learning Methods For The Delineation Of The Fan In Ultrasound Images. ISBI 2021: 743-747 - [c120]Zihao Wang, Clair Vandersteen, Charles Raffaelli, Nicolas Guevara, François Patou, Hervé Delingette:
One-Shot Learning for Landmarks Detection. DGM4MICCAI/DALI@MICCAI 2021: 163-172 - [i22]Zihao Wang, Clair Vandersteen, Thomas Demarcy, Dan Gnansia, Charles Raffaelli, Nicolas Guevara, Herve Delingette:
Inner-ear Augmented Metal Artifact Reduction with Simulation-based 3D Generative Adversarial Networks. CoRR abs/2104.12510 (2021) - [i21]Zihao Wang, Thomas Demarcy, Clair Vandersteen, Dan Gnansia, Charles Raffaelli, Nicolas Guevara, Hervé Delingette:
Bayesian Logistic Shape Model Inference: application to cochlea image segmentation. CoRR abs/2105.02045 (2021) - [i20]Zihao Wang, Hervé Delingette:
Attention for Image Registration (AiR): an unsupervised Transformer approach. CoRR abs/2105.02282 (2021) - [i19]Florent Jousse, Xavier Pennec, Hervé Delingette, Matilde Gonzalez:
Geodesic squared exponential kernel for non-rigid shape registration. CoRR abs/2112.11853 (2021) - 2020
- [j75]Félix Vanneste, Olivier Goury, Jonàs Martínez, Sylvain Lefebvre, Herve Delingette, Christian Duriez:
Anisotropic Soft Robots Based on 3D Printed Meso-Structured Materials: Design, Modeling by Homogenization and Simulation. IEEE Robotics Autom. Lett. 5(2): 2380-2386 (2020) - [c119]Benoît Audelan, Dimitri Hamzaoui, Sarah Montagne, Raphaële Renard-Penna, Hervé Delingette:
Robust Fusion of Probability Maps. MICCAI (4) 2020: 259-268 - [i18]Zihao Wang, Clair Vandersteen, Thomas Demarcy, Dan Gnansia, Charles Raffaelli, Nicolas Guevara, Hervé Delingette:
A Deep Learning based Fast Signed Distance Map Generation. CoRR abs/2005.12662 (2020) - [i17]Zihao Wang, Hervé Delingette:
Quasi-symplectic Langevin Variational Autoencoder. CoRR abs/2009.01675 (2020) - [i16]Julian Krebs, Hervé Delingette, Nicholas Ayache, Tommaso Mansi:
Learning a Generative Motion Model from Image Sequences based on a Latent Motion Matrix. CoRR abs/2011.01741 (2020)
2010 – 2019
- 2019
- [j74]Pawel Mlynarski, Hervé Delingette, Antonio Criminisi, Nicholas Ayache:
3D convolutional neural networks for tumor segmentation using long-range 2D context. Comput. Medical Imaging Graph. 73: 60-72 (2019) - [j73]Qiao Zheng, Hervé Delingette, Nicholas Ayache:
Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow. Medical Image Anal. 56: 80-95 (2019) - [j72]Raphaël Sivera, Hervé Delingette, Marco Lorenzi, Xavier Pennec, Nicholas Ayache:
A model of brain morphological changes related to aging and Alzheimer's disease from cross-sectional assessments. NeuroImage 198: 255-270 (2019) - [j71]Sophie Giffard-Roisin, Herve Delingette, Thomas Jackson, Jessica Webb, Lauren Fovargue, Jack Lee, Christopher A. Rinaldi, Reza Razavi, Nicholas Ayache, Maxime Sermesant:
Transfer Learning From Simulations on a Reference Anatomy for ECGI in Personalized Cardiac Resynchronization Therapy. IEEE Trans. Biomed. Eng. 66(2): 343-353 (2019) - [j70]Julian Krebs, Hervé Delingette, Boris Mailhé, Nicholas Ayache, Tommaso Mansi:
Learning a Probabilistic Model for Diffeomorphic Registration. IEEE Trans. Medical Imaging 38(9): 2165-2176 (2019) - [c118]Wilhelm Wimmer, Clair Vandersteen, Nicolas Guevara, Marco Caversaccio, Hervé Delingette:
Robust Cochlear Modiolar Axis Detection in CT. MICCAI (5) 2019: 3-10 - [c117]Benoît Audelan, Hervé Delingette:
Unsupervised Quality Control of Image Segmentation Based on Bayesian Learning. MICCAI (2) 2019: 21-29 - [c116]Gaëtan Desrues, Hervé Delingette, Maxime Sermesant:
Towards Hyper-Reduction of Cardiac Models Using Poly-affine Transformations. STACOM@MICCAI 2019: 100-108 - [c115]Zihao Wang, Clair Vandersteen, Thomas Demarcy, Dan Gnansia, Charles Raffaelli, Nicolas Guevara, Hervé Delingette:
Deep Learning Based Metal Artifacts Reduction in Post-operative Cochlear Implant CT Imaging. MICCAI (6) 2019: 121-129 - [c114]Julian Krebs, Tommaso Mansi, Nicholas Ayache, Hervé Delingette:
Probabilistic Motion Modeling from Medical Image Sequences: Application to Cardiac Cine-MRI. STACOM@MICCAI 2019: 176-185 - [i15]Qiao Zheng, Hervé Delingette, Kenneth Fung, Steffen E. Petersen, Nicholas Ayache:
Unsupervised shape and motion analysis of 3822 cardiac 4D MRIs of UK Biobank. CoRR abs/1902.05811 (2019) - [i14]Raphaël Sivera, Hervé Delingette, Marco Lorenzi, Xavier Pennec, Nicholas Ayache:
A model of brain morphological changes related to aging and Alzheimer's disease from cross-sectional assessments. CoRR abs/1905.09826 (2019) - [i13]Wilhelm Wimmer, Clair Vandersteen, Nicolas Guevara, Marco Caversaccio, Hervé Delingette:
Robust Cochlear Modiolar Axis Detection in CT. CoRR abs/1907.01870 (2019) - [i12]Pawel Mlynarski, Hervé Delingette, Hamza Alghamdi, Pierre-Yves Bondiau, Nicholas Ayache:
Anatomically Consistent Segmentation of Organs at Risk in MRI with Convolutional Neural Networks. CoRR abs/1907.02003 (2019) - [i11]Julian Krebs, Tommaso Mansi, Nicholas Ayache, Hervé Delingette:
Probabilistic Motion Modeling from Medical Image Sequences: Application to Cardiac Cine-MRI. CoRR abs/1907.13524 (2019) - 2018
- [j69]Nicolas Duchateau, Maxime Sermesant, Herve Delingette, Nicholas Ayache:
Model-Based Generation of Large Databases of Cardiac Images: Synthesis of Pathological Cine MR Sequences From Real Healthy Cases. IEEE Trans. Medical Imaging 37(3): 755-766 (2018) - [j68]Qiao Zheng, Herve Delingette, Nicolas Duchateau, Nicholas Ayache:
3-D Consistent and Robust Segmentation of Cardiac Images by Deep Learning With Spatial Propagation. IEEE Trans. Medical Imaging 37(9): 2137-2148 (2018) - [j67]Leman Feng, Pierre Alliez, Laurent Busé, Hervé Delingette, Mathieu Desbrun:
Curved optimal delaunay triangulation. ACM Trans. Graph. 37(4): 61 (2018) - [c113]Julian Krebs, Tommaso Mansi, Boris Mailhé, Nicholas Ayache, Hervé Delingette:
Unsupervised Probabilistic Deformation Modeling for Robust Diffeomorphic Registration. DLMIA/ML-CDS@MICCAI 2018: 101-109 - [c112]Shuman Jia, Antoine Despinasse, Zihao Wang, Hervé Delingette, Xavier Pennec, Pierre Jaïs, Hubert Cochet, Maxime Sermesant:
Automatically Segmenting the Left Atrium from Cardiac Images Using Successive 3D U-Nets and a Contour Loss. STACOM@MICCAI 2018: 221-229 - [i10]Qiao Zheng, Hervé Delingette, Nicolas Duchateau, Nicholas Ayache:
3D Consistent Biventricular Myocardial Segmentation Using Deep Learning for Mesh Generation. CoRR abs/1803.11080 (2018) - [i9]Julian Krebs, Tommaso Mansi, Boris Mailhé, Nicholas Ayache, Hervé Delingette:
Learning Structured Deformations using Diffeomorphic Registration. CoRR abs/1804.07172 (2018) - [i8]Qiao Zheng, Hervé Delingette, Nicolas Duchateau, Nicholas Ayache:
3D Consistent & Robust Segmentation of Cardiac Images by Deep Learning with Spatial Propagation. CoRR abs/1804.09400 (2018) - [i7]Pawel Mlynarski, Hervé Delingette, Antonio Criminisi, Nicholas Ayache:
3D Convolutional Neural Networks for Tumor Segmentation using Long-range 2D Context. CoRR abs/1807.08599 (2018) - [i6]Qiao Zheng, Hervé Delingette, Nicholas Ayache:
Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow. CoRR abs/1811.03433 (2018) - [i5]Shuman Jia, Antoine Despinasse, Zihao Wang, Hervé Delingette, Xavier Pennec, Pierre Jaïs, Hubert Cochet, Maxime Sermesant:
Automatically Segmenting the Left Atrium from Cardiac Images Using Successive 3D U-Nets and a Contour Loss. CoRR abs/1812.02518 (2018) - [i4]Pawel Mlynarski, Hervé Delingette, Antonio Criminisi, Nicholas Ayache:
Deep Learning with Mixed Supervision for Brain Tumor Segmentation. CoRR abs/1812.04571 (2018) - [i3]Julian Krebs, Hervé Delingette, Boris Mailhé, Nicholas Ayache, Tommaso Mansi:
Learning a Probabilistic Model for Diffeomorphic Registration. CoRR abs/1812.07460 (2018) - 2017
- [j66]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, Nicholas Ayache:
Comprehensive preclinical evaluation of a multi-physics model of liver tumor radiofrequency ablation. Int. J. Comput. Assist. Radiol. Surg. 12(9): 1543-1559 (2017) - [j65]Thomas Demarcy, Clair Vandersteen, Nicolas Guevara, Charles Raffaelli, Dan Gnansia, Nicholas Ayache, Hervé Delingette:
Automated analysis of human cochlea shape variability from segmented μCT images. Comput. Medical Imaging Graph. 59: 1-12 (2017) - [j64]Walther H. W. Schulze, Zhong Chen, Jatin Relan, Danila Potyagaylo, Martin W. Krueger, Rashed Karim, Manav Sohal, Anoop Shetty, YingLiang Ma, Nicholas Ayache, Maxime Sermesant, Herve Delingette, Julian Bostock, Reza Razavi, Kawal S. Rhode, Christopher Aldo Rinaldi, Olaf Dössel:
ECG imaging of ventricular tachycardia: evaluation against simultaneous non-contact mapping and CMR-derived grey zone. Medical Biol. Eng. Comput. 55(6): 979-990 (2017) - [j63]Hugo Talbot, Federico Spadoni, Christian Duriez, Maxime Sermesant, Mark D. O'Neill, Pierre Jaïs, Stéphane Cotin, Hervé Delingette:
Interactive training system for interventional electrocardiology procedures. Medical Image Anal. 35: 225-237 (2017) - [j62]Loïc Le Folgoc, Hervé Delingette, Antonio Criminisi, Nicholas Ayache:
Sparse Bayesian registration of medical images for self-tuning of parameters and spatially adaptive parametrization of displacements. Medical Image Anal. 36: 79-97 (2017) - [j61]Sophie Giffard-Roisin, Thomas Jackson, Lauren Fovargue, Jack Lee, Herve Delingette, Reza Razavi, Nicholas Ayache, Maxime Sermesant:
Noninvasive Personalization of a Cardiac Electrophysiology Model From Body Surface Potential Mapping. IEEE Trans. Biomed. Eng. 64(9): 2206-2218 (2017) - [j60]Loïc Le Folgoc, Hervé Delingette, Antonio Criminisi, Nicholas Ayache:
Quantifying Registration Uncertainty With Sparse Bayesian Modelling. IEEE Trans. Medical Imaging 36(2): 607-617 (2017) - [j59]Matthieu Lê, Hervé Delingette, Jayashree Kalpathy-Cramer, Elizabeth R. Gerstner, Tracy Batchelor, Jan Unkelbach, Nicholas Ayache:
Personalized Radiotherapy Planning Based on a Computational Tumor Growth Model. IEEE Trans. Medical Imaging 36(3): 815-825 (2017) - [c111]Sophie Giffard-Roisin, Hervé Delingette, Thomas Jackson, Lauren Fovargue, Jack Lee, C. Aldo Rinaldi, Nicholas Ayache, Reza Razavi, Maxime Sermesant:
Sparse Bayesian Non-linear Regression for Multiple Onsets Estimation in Non-invasive Cardiac Electrophysiology. FIMH 2017: 230-238 - [c110]Roch Molléro, Jakob A. Hauser, Xavier Pennec, Manasi Datar, Hervé Delingette, Alexander Jones, Nicholas Ayache, Tobias Heimann, Maxime Sermesant:
Longitudinal Parameter Estimation in 3D Electromechanical Models: Application to Cardiovascular Changes in Digestion. FIMH 2017: 432-440 - [c109]Julian Krebs, Tommaso Mansi, Hervé Delingette, Li Zhang, Florin C. Ghesu, Shun Miao, Andreas K. Maier, Nicholas Ayache, Rui Liao, Ali Kamen:
Robust Non-rigid Registration Through Agent-Based Action Learning. MICCAI (1) 2017: 344-352 - [c108]Roch Molléro, Hervé Delingette, Manasi Datar, Tobias Heimann, Jakob A. Hauser, Dilveer Panesar, Alexander Jones, Andrew Mayall Taylor, Marcus Kelm, Titus Kühne, Marcello Chinali, Gabriele Rinelli, Nicholas Ayache, Xavier Pennec, Maxime Sermesant:
Longitudinal Analysis Using Personalised 3D Cardiac Models with Population-Based Priors: Application to Paediatric Cardiomyopathies. MICCAI (2) 2017: 350-358 - 2016
- [j58]Matthieu Lê, Jan Unkelbach, Nicholas Ayache, Hervé Delingette:
Sampling image segmentations for uncertainty quantification. Medical Image Anal. 34: 42-51 (2016) - [j57]Nicolas Cordier, Herve Delingette, Nicholas Ayache:
A Patch-Based Approach for the Segmentation of Pathologies: Application to Glioma Labelling. IEEE Trans. Medical Imaging 35(4): 1066-1076 (2016) - [j56]Martino Alessandrini, Brecht Heyde, Sandro F. Queiros, Szymon Cygan, Maria Zontak, Oudom Somphone, Olivier Bernard, Maxime Sermesant, Hervé Delingette, Daniel Barbosa, Mathieu De Craene, Matthew O'Donnell, Jan D'hooge:
Detailed Evaluation of Five 3D Speckle Tracking Algorithms Using Synthetic Echocardiographic Recordings. IEEE Trans. Medical Imaging 35(8): 1915-1926 (2016) - [j55]Matthieu Lê, Hervé Delingette, Jayashree Kalpathy-Cramer, Elizabeth R. Gerstner, Tracy Batchelor, Jan Unkelbach, Nicholas Ayache:
MRI Based Bayesian Personalization of a Tumor Growth Model. IEEE Trans. Medical Imaging 35(10): 2329-2339 (2016) - [j54]Nicolas Cordier, Herve Delingette, Matthieu Lê, Nicholas Ayache:
Extended Modality Propagation: Image Synthesis of Pathological Cases. IEEE Trans. Medical Imaging 35(12): 2598-2608 (2016) - [c107]Thomas Demarcy, Clair Vandersteen, Charles Raffaelli, Dan Gnansia, Nicolas Guevara, Nicholas Ayache, Hervé Delingette:
Uncertainty Quantification of Cochlear Implant Insertion from CT Images. CLIP@MICCAI 2016: 27-35 - [c106]Stéphanie Marchesseau, Nicolas Duchateau, Hervé Delingette:
Segmentation and Registration Coupling from Short-Axis Cine MRI: Application to Infarct Diagnosis. STACOM@MICCAI 2016: 48-56 - [c105]Sophie Giffard-Roisin, Lauren Fovargue, Jessica Webb, Roch Molléro, Jack Lee, Hervé Delingette, Nicholas Ayache, Reza Razavi, Maxime Sermesant:
Estimation of Purkinje Activation from ECG: An Intermittent Left Bundle Branch Block Study. STACOM@MICCAI 2016: 135-142 - [c104]Roch Molléro, Xavier Pennec, Hervé Delingette, Nicholas Ayache, Maxime Sermesant:
A Multiscale Cardiac Model for Fast Personalisation and Exploitation. MICCAI (3) 2016: 174-182 - 2015
- [j53]Martino Alessandrini, Mathieu De Craene, Olivier Bernard, Sophie Giffard-Roisin, Pascal Allain, Irina Wächter-Stehle, Jürgen Weese, Eric Saloux, Hervé Delingette, Maxime Sermesant, Jan D'hooge:
A Pipeline for the Generation of Realistic 3D Synthetic Echocardiographic Sequences: Methodology and Open-Access Database. IEEE Trans. Medical Imaging 34(7): 1436-1451 (2015) - [j52]Chloé Audigier, Tommaso Mansi, Herve Delingette, Saikiran Rapaka, Viorel Mihalef, Daniel Carnegie, Emad Boctor, Michael A. Choti, Ali Kamen, Nicholas Ayache, Dorin Comaniciu:
Efficient Lattice Boltzmann Solver for Patient-Specific Radiofrequency Ablation of Hepatic Tumors. IEEE Trans. Medical Imaging 34(7): 1576-1589 (2015) - [j51]Bjoern H. Menze, András Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin S. Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, Levente Lanczi, Elizabeth R. Gerstner, Marc-André Weber, Tal Arbel, Brian B. Avants, Nicholas Ayache, Patricia Buendia, D. Louis Collins, Nicolas Cordier, Jason J. Corso, Antonio Criminisi, Tilak Das, Herve Delingette, Çagatay Demiralp, Christopher R. Durst, Michel Dojat, Senan Doyle, Joana Festa, Florence Forbes, Ezequiel Geremia, Ben Glocker, Polina Golland, Xiaotao Guo, Andac Hamamci, Khan M. Iftekharuddin, Raj Jena, Nigel M. John, Ender Konukoglu, Danial Lashkari, José Antonio Mariz, Raphael Meier, Sérgio Pereira, Doina Precup, Stephen J. Price, Tammy Riklin Raviv, Syed M. S. Reza, Michael T. Ryan, Duygu Sarikaya, Lawrence H. Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos A. Silva, Nuno J. Sousa, Nagesh K. Subbanna, Gábor Székely, Thomas J. Taylor, Owen M. Thomas, Nicholas J. Tustison, Gözde B. Ünal, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa, Mauricio Reyes, Koen Van Leemput:
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Medical Imaging 34(10): 1993-2024 (2015) - [c103]Hugo Talbot, Nazim Haouchine, Igor Peterlík, Jérémie Dequidt, Christian Duriez, Herve Delingette, Stéphane Cotin:
Surgery Training, Planning and Guidance Using the SOFA Framework. Eurographics (Dirk Bartz Prize) 2015: 1-4 - [c102]Hadrien Courtecuisse, Yinoussa Adagolodjo, Herve Delingette, Christian Duriez:
Haptic rendering of hyperelastic models with friction. IROS 2015: 591-596 - [c101]Martino Alessandrini, Brecht Heyde, Sophie Giffard-Roisin, Herve Delingette, Maxime Sermesant, Pascal Allain, Olivier Bernard, Mathieu De Craene, Jan D'hooge:
Generation of ultra-realistic synthetic echocardiographic sequences to facilitate standardization of deformation imaging. ISBI 2015: 756-759 - [c100]Matthieu Lê, Jan Unkelbach, Nicholas Ayache, Hervé Delingette:
GPSSI: Gaussian Process for Sampling Segmentations of Images. MICCAI (3) 2015: 38-46 - [c99]Héloïse Bleton, Ján Margeta, Hervé Lombaert, Hervé Delingette, Nicholas Ayache:
Myocardial Infarct Localization Using Neighbourhood Approximation Forests. STACOM@MICCAI 2015: 108-116 - [c98]Matthieu Lê, Hervé Delingette, Jayashree Kalpathy-Cramer, Elizabeth R. Gerstner, Tracy Batchelor, Jan Unkelbach, Nicholas Ayache:
Bayesian Personalization of Brain Tumor Growth Model. MICCAI (2) 2015: 424-432 - 2014
- [j50]Adityo Prakosa, Maxime Sermesant, Pascal Allain, Nicolas Villain, C. Aldo Rinaldi, Kawal S. Rhode, Reza Razavi, Herve Delingette, Nicholas Ayache:
Cardiac Electrophysiological Activation Pattern Estimation From Images Using a Patient-Specific Database of Synthetic Image Sequences. IEEE Trans. Biomed. Eng. 61(2): 235-245 (2014) - [j49]Antonio R. Porras, Martino Alessandrini, Mathieu De Craene, Nicolas Duchateau, Marta Sitges, Bart H. Bijnens, Hervé Delingette, Maxime Sermesant, Jan D'hooge, Alejandro F. Frangi, Gemma Piella:
Improved Myocardial Motion Estimation Combining Tissue Doppler and B-Mode Echocardiographic Images. IEEE Trans. Medical Imaging 33(11): 2098-2106 (2014) - [c97]Mathieu De Craene, Martino Alessandrini, Pascal Allain, Stéphanie Marchesseau, Irina Wächter-Stehle, Jürgen Weese, Eric Saloux, Hernán G. Morales, Rémi Cuingnet, Hervé Delingette, Maxime Sermesant, Olivier Bernard, Jan D'hooge:
Generation of ultra-realistic synthetic echocardiographic sequences. ISBI 2014 - [c96]Hugo Talbot, Federico Spadoni, Christian Duriez, Maxime Sermesant, Stephane Cotin, Hervé Delingette:
Interactive Training System for Interventional Electrocardiology Procedures. ISBMS 2014: 11-19 - [c95]Chloé Audigier, Tommaso Mansi, Hervé Delingette, Saikiran Rapaka, Viorel Mihalef, Daniel Carnegie, Emad Boctor, Michael A. Choti, Ali Kamen, Dorin Comaniciu, Nicholas Ayache:
Parameter Estimation for Personalization of Liver Tumor Radiofrequency Ablation. ABDI@MICCAI 2014: 3-12 - [c94]Sophie Giffard-Roisin, Stéphanie Marchesseau, Loïc Le Folgoc, Hervé Delingette, Maxime Sermesant:
Evaluation of Personalised Canine Electromechanical Models. STACOM 2014: 74-82 - [c93]Loïc Le Folgoc, Hervé Delingette, Antonio Criminisi, Nicholas Ayache:
Sparse Bayesian Registration. MICCAI (1) 2014: 235-242 - 2013
- [j48]Islem Rekik, Stéphanie Allassonnière, Olivier Clatz, Ezequiel Geremia, Erin Stretton, Hervé Delingette, Nicholas Ayache:
Tumor growth parameters estimation and source localization from a unique time point: Application to low-grade gliomas. Comput. Vis. Image Underst. 117(3): 238-249 (2013) - [j47]François Chung, Hervé Delingette:
Regional appearance modeling based on the clustering of intensity profiles. Comput. Vis. Image Underst. 117(6): 705-717 (2013) - [j46]Catalina Tobon-Gomez, Nicolas Duchateau, Rafael Sebastián, Stéphanie Marchesseau, Oscar Camara, Erwan Donal, Mathieu De Craene, Ali Pashaei, Jatin Relan, M. Steghofer, Pablo Lamata, Hervé Delingette, Simon G. Duckett, Mireille Garreau, Alfredo I. Hernández, Kawal S. Rhode, Maxime Sermesant, Nicholas Ayache, Christophe Leclercq, Reza Razavi, Nicolas Smith, Alejandro F. Frangi:
Understanding the mechanisms amenable to CRT response: from pre-operative multimodal image data to patient-specific computational models. Medical Biol. Eng. Comput. 51(11): 1235-1250 (2013) - [j45]Hervé Delingette, Polina Golland, Kensaku Mori:
Editorial for the MEDIA special issue on MICCAI 2012. Medical Image Anal. 17(7): 711 (2013) - [j44]Stéphanie Marchesseau, Hervé Delingette, Maxime Sermesant, Rocío Cabrera Lozoya, Catalina Tobon-Gomez, Philippe Moireau, Rosa M. Figueras i Ventura, Karim Lekadir, Alfredo I. Hernández, Mireille Garreau, Erwan Donal, Christophe Leclercq, Simon G. Duckett, Kawal S. Rhode, C. Aldo Rinaldi, Alejandro F. Frangi, Reza Razavi, Dominique Chapelle, Nicholas Ayache:
Personalization of a cardiac electromechanical model using reduced order unscented Kalman filtering from regional volumes. Medical Image Anal. 17(7): 816-829 (2013) - [j43]Adityo Prakosa, Maxime Sermesant, Hervé Delingette, Stéphanie Marchesseau, Eric Saloux, Pascal Allain, Nicolas Villain, Nicholas Ayache:
Generation of Synthetic but Visually Realistic Time Series of Cardiac Images Combining a Biophysical Model and Clinical Images. IEEE Trans. Medical Imaging 32(1): 99-109 (2013) - [c92]Erin Stretton, Ezequiel Geremia, Bjoern H. Menze, Hervé Delingette, Nicholas Ayache:
Importance of patient DTI's to accurately model glioma growth using the reaction diffusion equation. ISBI 2013: 1142-1145 - [c91]Oudom Somphone, Mathieu De Craene, Roberto Ardon, Benoit Mory, Pascal Allain, Hang Gao, Jan D'hooge, Stéphanie Marchesseau, Maxime Sermesant, Hervé Delingette, Eric Saloux:
Fast myocardial motion and strain estimation in 3D cardiac ultrasound with Sparse Demons. ISBI 2013: 1182-1185 - [c90]Ken C. L. Wong, Maxime Sermesant, Jatin Relan, Kawal S. Rhode, Matthew Ginks, C. Aldo Rinaldi, Reza Razavi, Hervé Delingette, Nicholas Ayache:
Velocity-Based Cardiac Contractility Personalization with Derivative-Free Optimization. STACOM 2013: 228-235 - [c89]