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2020 – today
- 2024
[j53]Zihao Wang
, Yingyu Yang, Yuzhou Chen, Tingting Yuan, Maxime Sermesant, Hervé Delingette, Ona Wu:
Mutual Information Guided Diffusion for Zero-Shot Cross-Modality Medical Image Translation. IEEE Trans. Medical Imaging 43(8): 2825-2838 (2024)- [e15]Oscar Camara, Esther Puyol-Antón, Maxime Sermesant, Avan Suinesiaputra, Qian Tao, Chengyan Wang, Alistair A. Young:
Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers - 14th International Workshop, STACOM 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Revised Selected Papers. Lecture Notes in Computer Science 14507, Springer 2024, ISBN 978-3-031-52447-9 [contents] - [i13]Zihao Wang, Yingyu Yang, Yuzhou Chen, Tingting Yuan, Maxime Sermesant, Herve Delingette, Ona Wu:
Diffusion based Zero-shot Medical Image-to-Image Translation for Cross Modality Segmentation. CoRR abs/2404.01102 (2024) - 2023
- [c123]Safaa Al-Ali, Jordi Llopis-Lorente, Maria Teresa Mora, Maxime Sermesant, Beatriz Trénor, Irene Balelli:
A Causal Discovery Approach to Streamline Ionic Currents Selection to Improve Drug-Induced TdP Risk Assessment. CinC 2023: 1-4 - [c122]Yingyu Yang, Maxime Sermesant:
Unsupervised Polyaffine Transformation Learning for Echocardiography Motion Estimation. FIMH 2023: 384-393 - [p2]Buntheng Ly, Mihaela Pop, Hubert Cochet, Nicolas Duchateau, Declan P. O'Regan, Maxime Sermesant:
Outcome Prediction. AI and Big Data in Cardiology 2023: 105-133 - [i12]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
- [j52]Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Víctor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li:
Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. Medical Image Anal. 81: 102528 (2022) - [c121]Victoriya Kashtanova, Ibrahim Ayed, Andony Arrieula, Mark Potse, Patrick Gallinari, Maxime Sermesant:
Deep Learning for Model Correction in Cardiac Electrophysiological Imaging. MIDL 2022: 665-675 - [c120]Buntheng Ly, Sonny Finsterbach, Marta Nuñez Garcia, Pierre Jaïs, Damien Garreau, Hubert Cochet, Maxime Sermesant:
Interpretable Prediction of Post-Infarct Ventricular Arrhythmia Using Graph Convolutional Network. STACOM@MICCAI 2022: 157-167 - [c119]Zihao Wang, Yingyu Yang, Maxime Sermesant, Hervé Delingette:
Unsupervised Echocardiography Registration Through Patch-Based MLPs and Transformers. STACOM@MICCAI 2022: 168-178 - [c118]Victoriya Kashtanova, Mihaela Pop, Ibrahim Ayed, Patrick Gallinari, Maxime Sermesant:
APHYN-EP: Physics-Based Deep Learning Framework to Learn and Forecast Cardiac Electrophysiology Dynamics. STACOM@MICCAI 2022: 190-199 - [c117]Marta Saiz-Vivó, Jordi Mill, Josquin Harrison, Guillermo Jiménez-Pérez, Benoit Legghe, Xavier Iriart, Hubert Cochet, Gemma Piella, Maxime Sermesant, Oscar Camara:
Unsupervised Machine Learning Exploration of Morphological and Haemodynamic Indices to Predict Thrombus Formation in the Left Atrial Appendage. STACOM@MICCAI 2022: 200-210 - [c116]Yingyu Yang, Marie Rocher, Pamela Moceri, Maxime Sermesant:
Explainable Electrocardiogram Analysis with Wave Decomposition: Application to Myocardial Infarction Detection. STACOM@MICCAI 2022: 221-232 - [e14]Esther Puyol-Antón, Mihaela Pop, Carlos Martín-Isla, Maxime Sermesant, Avan Suinesiaputra, Oscar Camara, Karim Lekadir, Alistair Young:
Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge - 12th International Workshop, STACOM@MICCAI 2021, Strasbourg, France, September 27, 2021, Revised Selected Papers. Lecture Notes in Computer Science 13131, Springer 2022, ISBN 978-3-030-93721-8 [contents] - [e13]Oscar Camara, Esther Puyol-Antón, Chen Qin, Maxime Sermesant, Avan Suinesiaputra, Shuo Wang, Alistair A. Young:
Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers - 13th International Workshop, STACOM 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Revised Selected Papers. Lecture Notes in Computer Science 13593, Springer 2022, ISBN 978-3-031-23442-2 [contents] - [i11]Jordi Mill, Josquin Harrison, Benoit Legghe, Andy L. Olivares, Xabier Morales, Jérôme Noailly, Xavier Iriart, Hubert Cochet, Maxime Sermesant, Oscar Camara:
In-silico analysis of the influence of pulmonary vein configuration on left atrial haemodynamics and thrombus formation in a large cohort. CoRR abs/2210.12063 (2022) - [i10]Zihao Wang, Yingyu Yang, Maxime Sermesant, Herve Delingette:
Unsupervised Echocardiography Registration through Patch-based MLPs and Transformers. CoRR abs/2211.11687 (2022) - 2021
- [j51]Jaume Banus, Marco Lorenzi, Oscar Camara, Maxime Sermesant:
Biophysics-based statistical learning: Application to heart and brain interactions. Medical Image Anal. 72: 102089 (2021) - [c115]Yingyu Yang, Maxime Sermesant:
Shape Constraints in Deep Learning for Robust 2D Echocardiography Analysis. FIMH 2021: 22-34 - [c114]Gaëtan Desrues, Delphine Feuerstein, Thierry Legay, Serge Cazeau, Maxime Sermesant:
Personal-by-Design: A 3D Electromechanical Model of the Heart Tailored for Personalisation. FIMH 2021: 447-457 - [c113]Buntheng Ly, Sonny Finsterbach, Marta Nuñez Garcia, Hubert Cochet, Maxime Sermesant:
Scar-Related Ventricular Arrhythmia Prediction from Imaging Using Explainable Deep Learning. FIMH 2021: 461-470 - [c112]Victoriya Kashtanova, Ibrahim Ayed, Nicolas Cedilnik, Patrick Gallinari, Maxime Sermesant:
EP-Net 2.0: Out-of-Domain Generalisation for Deep Learning Models of Cardiac Electrophysiology. FIMH 2021: 482-492 - [c111]Jordi Mill, Josquin Harrison, Benoit Legghe, Andy L. Olivares, Xabier Morales, Jérôme Noailly, Xavier Iriart, Hubert Cochet, Maxime Sermesant, Oscar Camara:
In-Silico Analysis of the Influence of Pulmonary Vein Configuration on Left Atrial Haemodynamics and Thrombus Formation in a Large Cohort. FIMH 2021: 605-616 - [c110]Nicolas Guigui, Pamela Moceri, Maxime Sermesant, Xavier Pennec:
Cardiac Motion Modeling With Parallel Transport And Shape Splines. ISBI 2021: 1394-1397 - [c109]Josquin Harrison, Marco Lorenzi, Benoit Legghe, Xavier Iriart, Hubert Cochet, Maxime Sermesant:
Phase-Independent Latent Representation for Cardiac Shape Analysis. MICCAI (6) 2021: 537-546 - [e12]Esther Puyol-Antón, Mihaela Pop, Maxime Sermesant, Víctor M. Campello, Alain Lalande, Karim Lekadir, Avan Suinesiaputra, Oscar Camara, Alistair A. Young:
Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges - 11th International Workshop, STACOM 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Revised Selected Papers. Lecture Notes in Computer Science 12592, Springer 2021, ISBN 978-3-030-68106-7 [contents] - [i9]Nicolas Guigui, Pamela Moceri, Maxime Sermesant, Xavier Pennec:
Cardiac Motion Modeling with Parallel Transport and Shape Splines. CoRR abs/2102.08665 (2021) - 2020
- [j50]Mia Mojica, Mihaela Pop, Maxime Sermesant, Mehran Ebrahimi:
Novel atlas of fiber directions built from ex-vivo diffusion tensor images of porcine hearts. Comput. Methods Programs Biomed. 187: 105200 (2020) - [c108]Marta Nuñez Garcia, Nicolas Cedilnik, Shuman Jia, Maxime Sermesant, Hubert Cochet:
Automatic Multiplanar CT Reformatting from Trans-Axial into Left Ventricle Short-Axis View. M&Ms and EMIDEC/STACOM@MICCAI 2020: 14-22 - [c107]Marta Nuñez Garcia, Nicolas Cedilnik, Shuman Jia, Hubert Cochet, Marco Lorenzi, Maxime Sermesant:
Estimation of Imaging Biomarker's Progression in Post-infarct Patients Using Cross-sectional Data. M&Ms and EMIDEC/STACOM@MICCAI 2020: 108-116 - [c106]Jaume Banus, Maxime Sermesant, Oscar Camara, Marco Lorenzi:
Joint Data Imputation and Mechanistic Modelling for Simulating Heart-Brain Interactions in Incomplete Datasets. MICCAI (6) 2020: 478-486 - [e11]Mihaela Pop, Maxime Sermesant, Oscar Camara, Xiahai Zhuang, Shuo Li, Alistair A. Young, Tommaso Mansi, Avan Suinesiaputra:
Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges - 10th International Workshop, STACOM 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Revised Selected Papers. Lecture Notes in Computer Science 12009, Springer 2020, ISBN 978-3-030-39073-0 [contents] - [i8]Zhaohan Xiong, Qing Xia, Zhiqiang Hu, Ning Huang, Cheng Bian, Yefeng Zheng, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier, Xin Yang, Pheng-Ann Heng, Dong Ni, Caizi Li, Qianqian Tong, Weixin Si, Élodie Puybareau, Younes Khoudli, Thierry Géraud, Chen Chen, Wenjia Bai, Daniel Rueckert, Lingchao Xu, Xiahai Zhuang, Xinzhe Luo, Shuman Jia, Maxime Sermesant, Yashu Liu, Kuanquan Wang, Davide Borra, Alessandro Masci, Cristiana Corsi, Coen de Vente, Mitko Veta, Rashed Karim, Chandrakanth Jayachandran Preetha, Sandy Engelhardt, Mengyun Qiao, Yuanyuan Wang, Qian Tao, Marta Nuñez Garcia, Oscar Camara, Nicoló Savioli, Pablo Lamata, Jichao Zhao:
A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging. CoRR abs/2004.12314 (2020) - [i7]Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Víctor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li:
Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge. CoRR abs/2006.12434 (2020) - [i6]Jaume Banus, Maxime Sermesant, Oscar Camara, Marco Lorenzi:
Joint data imputation and mechanistic modelling for simulating heart-brain interactions in incomplete datasets. CoRR abs/2010.01052 (2020)
2010 – 2019
- 2019
- [j49]Rocío Cabrera Lozoya, Benjamin Berte, Hubert Cochet, Pierre Jaïs, Nicholas Ayache, Maxime Sermesant:
Model-Based Feature Augmentation for Cardiac Ablation Target Learning From Images. IEEE Trans. Biomed. Eng. 66(1): 30-40 (2019) - [j48]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) - [c105]Tania Bacoyannis, Julian Krebs, Nicolas Cedilnik, Hubert Cochet, Maxime Sermesant:
Deep Learning Formulation of ECGI for Data-Driven Integration of Spatiotemporal Correlations and Imaging Information. FIMH 2019: 20-28 - [c104]Ibrahim Ayed, Nicolas Cedilnik, Patrick Gallinari, Maxime Sermesant:
EP-Net: Learning Cardiac Electrophysiology Models for Physiology-Based Constraints in Data-Driven Predictions. FIMH 2019: 55-63 - [c103]Mengyuan Li, Maxime Sermesant, Sebastian Ferguson, Fumin Guo, Jennifer Barry, Xiuling Qi, Peter Lin, Matthew Ng, Graham A. Wright, Mihaela Pop:
Pipeline to Build and Test Robust 3D T1 Mapping-Based Heart Models for EP Interventions: Preliminary Results. FIMH 2019: 64-72 - [c102]Jaume Banus, Marco Lorenzi, Oscar Camara, Maxime Sermesant:
Large Scale Cardiovascular Model Personalisation for Mechanistic Analysis of Heart and Brain Interactions. FIMH 2019: 285-293 - [c101]Nicolas Cedilnik, Josselin Duchateau, Frédéric Sacher, Pierre Jaïs, Hubert Cochet, Maxime Sermesant:
Fully Automated Electrophysiological Model Personalisation Framework from CT Imaging. FIMH 2019: 325-333 - [c100]Nicolas Guigui, Shuman Jia, Maxime Sermesant, Xavier Pennec:
Symmetric Algorithmic Components for Shape Analysis with Diffeomorphisms. GSI 2019: 759-768 - [c99]Gaëtan Desrues, Hervé Delingette, Maxime Sermesant:
Towards Hyper-Reduction of Cardiac Models Using Poly-affine Transformations. STACOM@MICCAI 2019: 100-108 - [c98]Yingyu Yang, Stephane Gillon, Jaume Banus, Pamela Moceri, Maxime Sermesant:
Non-invasive Pressure Estimation in Patients with Pulmonary Arterial Hypertension: Data-Driven or Model-Based? STACOM@MICCAI 2019: 147-156 - [c97]Alexandre Legay, Thomas Tiennot, Jean-François Gelly, Maxime Sermesant, Jean Bulté:
End-to-end Cardiac Ultrasound Simulation for a Better Understanding of Image Quality. STACOM@MICCAI 2019: 167-175 - [c96]Buntheng Ly, Hubert Cochet, Maxime Sermesant:
Style Data Augmentation for Robust Segmentation of Multi-modality Cardiac MRI. STACOM@MICCAI 2019: 197-208 - [c95]Nicolas Cedilnik, Maxime Sermesant:
Eikonal Model Personalisation Using Invasive Data to Predict Cardiac Resynchronisation Therapy Electrophysiological Response. STACOM@MICCAI 2019: 364-372 - [c94]Mia Mojica, Mihaela Pop, Maxime Sermesant, Mehran Ebrahimi:
Constructing an average geometry and diffusion tensor magnetic resonance field from freshly explanted porcine hearts. Medical Imaging: Image Processing 2019: 109493C - [e10]Mihaela Pop, Maxime Sermesant, Jichao Zhao, Shuo Li, Kristin McLeod, Alistair A. Young, Kawal S. Rhode, Tommaso Mansi:
Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges - 9th International Workshop, STACOM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11395, Springer 2019, ISBN 978-3-030-12028-3 [contents] - [i5]Nicolas Guigui, Shuman Jia, Maxime Sermesant, Xavier Pennec:
Symmetric Algorithmic Components for Shape Analysis with Diffeomorphisms. CoRR abs/1906.05921 (2019) - [i4]Maxime Sermesant:
Improving Cardiac Arrhythmia Therapy with Medical Imaging. ERCIM News 2019(118) (2019) - 2018
- [j47]Marc-Michel Rohé, Maxime Sermesant, Xavier Pennec:
Low-dimensional representation of cardiac motion using Barycentric Subspaces: A new group-wise paradigm for estimation, analysis, and reconstruction. Medical Image Anal. 45: 1-12 (2018) - [j46]Rashed Karim, Lauren-Emma Blake, Jiro Inoue, Qian Tao, Shuman Jia, Richard James Housden, Pranav Bhagirath, Jean-Luc Duval, Marta Varela, Jonathan M. Behar, Loïc Cadour, Rob J. van der Geest, Hubert Cochet, Maria Drangova, Maxime Sermesant, Reza Razavi, Oleg V. Aslanidi, Ronak Rajani, Kawal S. Rhode:
Algorithms for left atrial wall segmentation and thickness - Evaluation on an open-source CT and MRI image database. Medical Image Anal. 50: 36-53 (2018) - [j45]Kristin McLeod, Kristin Tøndel, Lilian Calvet, Maxime Sermesant, Xavier Pennec:
Cardiac Motion Evolution Model for Analysis of Functional Changes Using Tensor Decomposition and Cross-Sectional Data. IEEE Trans. Biomed. Eng. 65(12): 2769-2780 (2018) - [j44]Avan Suinesiaputra, Pierre Ablin, Xènia Albà, Martino Alessandrini, Jack Allen, Wenjia Bai, Serkan Çimen, Peter Claes, Brett R. Cowan, Jan D'hooge, Nicolas Duchateau, Jan Ehrhardt, Alejandro F. Frangi, Ali Gooya, Vicente Grau, Karim Lekadir, Allen Lu, Anirban Mukhopadhyay, Ilkay Öksüz, Nripesh Parajuli, Xavier Pennec, Marco Pereañez, Catarina Pinto, Paolo Piras, Marc-Michel Rohé, Daniel Rueckert, Dennis Säring, Maxime Sermesant, Kaleem Siddiqi, Mahdi Tabassian, Luciano Teresi, Sotirios A. Tsaftaris, Matthias Wilms, Alistair A. Young, Xingyu Zhang, Pau Medrano-Gracia:
Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge. IEEE J. Biomed. Health Informatics 22(2): 503-515 (2018) - [j43]Yitian Zhou, Sophie Giffard-Roisin, Mathieu De Craene, Sorina Camarasu-Pop, Jan D'hooge, Martino Alessandrini, Denis Friboulet, Maxime Sermesant, Olivier Bernard:
A Framework for the Generation of Realistic Synthetic Cardiac Ultrasound and Magnetic Resonance Imaging Sequences From the Same Virtual Patients. IEEE Trans. Medical Imaging 37(3): 741-754 (2018) - [j42]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) - [j41]Olivier Bernard, Alain Lalande, Clément Zotti, Frederic Cervenansky, Xin Yang, Pheng-Ann Heng, Irem Cetin, Karim Lekadir, Oscar Camara, Miguel Ángel González Ballester, Gerard Sanroma, Sandy Napel, Steffen E. Petersen, Georgios Tziritas, Elias Grinias, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi, Marc-Michel Rohé, Xavier Pennec, Maxime Sermesant, Fabian Isensee, Paul Jäger, Klaus H. Maier-Hein, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Christian F. Baumgartner, Lisa M. Koch, Jelmer M. Wolterink, Ivana Isgum, Yeonggul Jang, Yoonmi Hong, Jay Patravali, Shubham Jain, Olivier Humbert, Pierre-Marc Jodoin:
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? IEEE Trans. Medical Imaging 37(11): 2514-2525 (2018) - [c93]Shuman Jia, Nicolas Duchateau, Pamela Moceri, Maxime Sermesant, Xavier Pennec:
Parallel Transport of Surface Deformations from Pole Ladder to Symmetrical Extension. ShapeMI@MICCAI 2018: 116-124 - [c92]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 - [e9]Mihaela Pop, Maxime Sermesant, Pierre-Marc Jodoin, Alain Lalande, Xiahai Zhuang, Guang Yang, Alistair A. Young, Olivier Bernard:
Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges - 8th International Workshop, STACOM 2017, Held in Conjunction with MICCAI 2017, Quebec City, Canada, September 10-14, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10663, Springer 2018, ISBN 978-3-319-75540-3 [contents] - [i3]Rubén Doste, David Soto-Iglesias, Gabriel Bernardino, Alejandro Alcaine, Rafael Sebastián, Sophie Giffard-Roisin, Maxime Sermesant, Antonio Berruezo, Damian Sánchez-Quintana, Oscar Camara:
A rule-based method to model myocardial fiber orientation in cardiac biventricular geometries with outflow tracts. CoRR abs/1809.08297 (2018) - [i2]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) - 2017
- [j40]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) - [j39]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) - [j38]Rocío Cabrera Lozoya, Benjamin Berte, Hubert Cochet, Pierre Jaïs, Nicholas Ayache, Maxime Sermesant:
Image-Based Biophysical Simulation of Intracardiac Abnormal Ventricular Electrograms. IEEE Trans. Biomed. Eng. 64(7): 1446-1454 (2017) - [j37]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) - [j36]Jan L. Bruse, Maria A. Zuluaga, Abbas Khushnood, Kristin McLeod, Hopewell N. Ntsinjana, Tain-Yen Hsia, Maxime Sermesant, Xavier Pennec, Andrew Mayall Taylor, Silvia Schievano:
Detecting Clinically Meaningful Shape Clusters in Medical Image Data: Metrics Analysis for Hierarchical Clustering Applied to Healthy and Pathological Aortic Arches. IEEE Trans. Biomed. Eng. 64(10): 2373-2383 (2017) - [c91]Kristin McLeod, Maxime Sermesant, Xavier Pennec:
Improving Understanding of Long-Term Cardiac Functional Remodelling via Cross-Sectional Analysis of Polyaffine Motion Parameters. FIMH 2017: 51-59 - [c90]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 - [c89]Nicolas Cedilnik, Josselin Duchateau, Rémi Dubois, Pierre Jaïs, Hubert Cochet, Maxime Sermesant:
VT Scan: Towards an Efficient Pipeline from Computed Tomography Images to Ventricular Tachycardia Ablation. FIMH 2017: 271-279 - [c88]Shuman Jia, Claudia Camaioni, Marc-Michel Rohé, Pierre Jaïs, Xavier Pennec, Hubert Cochet, Maxime Sermesant:
Prediction of Post-Ablation Outcome in Atrial Fibrillation Using Shape Parameterization and Partial Least Squares Regression. FIMH 2017: 311-321 - [c87]Èric Lluch, Rubén Doste, Sophie Giffard-Roisin, Alexandre This, Maxime Sermesant, Oscar Camara, Mathieu De Craene, Hernán G. Morales:
Smoothed Particle Hydrodynamics for Electrophysiological Modeling: An Alternative to Finite Element Methods. FIMH 2017: 333-343 - [c86]Rubén Doste, David Soto-Iglesias, Gabriel Bernardino, Rafael Sebastián, Sophie Giffard-Roisin, Rocío Cabrera Lozoya, Maxime Sermesant, Antonio Berruezo, Damian Sánchez-Quintana, Oscar Camara:
A Rule-Based Method to Model Myocardial Fiber Orientation for Simulating Ventricular Outflow Tract Arrhythmias. FIMH 2017: 344-353 - [c85]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 - [c84]Mia Mojica, Mihaela Pop, Maxime Sermesant, Mehran Ebrahimi:
Multilevel Non-parametric Groupwise Registration in Cardiac MRI: Application to Explanted Porcine Hearts. STACOM@MICCAI 2017: 60-69 - [c83]Marc-Michel Rohé, Maxime Sermesant, Xavier Pennec:
Automatic Multi-Atlas Segmentation of Myocardium with SVF-Net. STACOM@MICCAI 2017: 170-177 - [c82]Marc-Michel Rohé, Manasi Datar, Tobias Heimann, Maxime Sermesant, Xavier Pennec:
SVF-Net: Learning Deformable Image Registration Using Shape Matching. MICCAI (1) 2017: 266-274 - [c81]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 - [e8]Tommaso Mansi, Kristin McLeod, Mihaela Pop, Kawal S. Rhode, Maxime Sermesant, Alistair A. Young:
Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges - 7th International Workshop, STACOM 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10124, Springer 2017, ISBN 978-3-319-52717-8 [contents] - 2016
- [j35]Jan L. Bruse, Kristin McLeod, Giovanni Biglino, Hopewell N. Ntsinjana, Claudio Capelli, Tain-Yen Hsia, Maxime Sermesant, Xavier Pennec, Andrew Mayall Taylor, Silvia Schievano:
A statistical shape modelling framework to extract 3D shape biomarkers from medical imaging data: assessing arch morphology of repaired coarctation of the aorta. BMC Medical Imaging 16: 40 (2016) - [j34]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) - [j33]Nicolas Duchateau, Mathieu De Craene, Pascal Allain, Eric Saloux, Maxime Sermesant:
Infarct Localization From Myocardial Deformation: Prediction and Uncertainty Quantification by Regression From a Low-Dimensional Space. IEEE Trans. Medical Imaging 35(10): 2340-2352 (2016) - [c80]Marc-Michel Rohé, Roch Molléro, Maxime Sermesant, Xavier Pennec:
Highly reduced model of the cardiac function for fast simulation. IVMSP 2016: 1-5 - [c79]Sebastian Ferguson, Maxime Sermesant, Samuel O. Oduneye, Sophie Giffard-Roisin, Michael V. Truong, Labonny Biswas, Nicholas Ayache, Graham A. Wright, Mihaela Pop:
Novel Framework to Integrate Real-Time MR-Guided EP Data with T1 Mapping-Based Computational Heart Models. STACOM@MICCAI 2016: 11-20 - [c78]Yitian Zhou, Mathieu De Craene, Maxime Sermesant, Olivier Bernard:
Phase-Based Registration of Cardiac Tagged MR Images by Incorporating Anatomical Constraints. STACOM@MICCAI 2016: 39-47 - [c77]Yitian Zhou, Mathieu De Craene, Oudom Somphone, Maxime Sermesant, Olivier Bernard:
Generation of Realistic 4D Synthetic CSPAMM Tagged MR Sequences for Benchmarking Cardiac Motion Tracking Algorithms. SASHIMI@MICCAI 2016: 108-117 - [c76]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 - [c75]Roch Molléro, Xavier Pennec, Hervé Delingette, Nicholas Ayache, Maxime Sermesant:
A Multiscale Cardiac Model for Fast Personalisation and Exploitation. MICCAI (3) 2016: 174-182 - [c74]Shuman Jia, Loïc Cadour, Hubert Cochet, Maxime Sermesant:
STACOM-SLAWT Challenge: Left Atrial Wall Segmentation and Thickness Measurement Using Region Growing and Marker-Controlled Geodesic Active Contour. STACOM@MICCAI 2016: 211-219 - [c73]Marc-Michel Rohé, Maxime Sermesant, Xavier Pennec:
Barycentric Subspace Analysis: A New Symmetric Group-Wise Paradigm for Cardiac Motion Tracking. MICCAI (3) 2016: 300-307 - [e7]Oscar Camara, Tommaso Mansi, Mihaela Pop, Kawal S. Rhode, Maxime Sermesant, Alistair A. Young:
Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges - 6th International Workshop, STACOM 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers. Lecture Notes in Computer Science 9534, Springer 2016, ISBN 978-3-319-28711-9 [contents] - 2015
- [j32]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) - [j31]Kristin McLeod, Maxime Sermesant, Philipp Beerbaum, Xavier Pennec:
Spatio-Temporal Tensor Decomposition of a Polyaffine Motion Model for a Better Analysis of Pathological Left Ventricular Dynamics. IEEE Trans. Medical Imaging 34(7): 1562-1575 (2015) - [c72]Martino Alessandrini, Adrian Basarab, Mathieu De Craene, Maxime Sermesant, Hervé Liebgott, Olivier Bernard, Jan D'hooge:
The role of the image phase in cardiac strain imaging. EUSIPCO 2015: 2796-2800 - [c71]