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ORCID11th FIMH 2021: Stanford, CA, USA
- Daniel B. Ennis
, Luigi E. Perotti, Vicky Y. Wang:
Functional Imaging and Modeling of the Heart - 11th International Conference, FIMH 2021, Stanford, CA, USA, June 21-25, 2021, Proceedings. Lecture Notes in Computer Science 12738, Springer 2021, ISBN 978-3-030-78709-7
Advanced Cardiac and Cardiovascular Image Processing
- Kannara Mom, Patrick Clarysse, Nicolas Duchateau:
Population-Based Personalization of Geometric Models of Myocardial Infarction. 3-11 - Orod Razeghi, Marina Strocchi, Cesare Corrado, Henry Chubb, Ronak Rajani, Daniel B. Ennis, Steven A. Niederer:
Impact of Image Resolution and Resampling on Motion Tracking of the Left Chambers from Cardiac Scans. 12-21 - Yingyu Yang, Maxime Sermesant:
Shape Constraints in Deep Learning for Robust 2D Echocardiography Analysis. 22-34 - Jordan B. Stoecker, Kevin C. Eddinger, Alison M. Pouch, Benjamin M. Jackson:
Image-Derived Geometric Characteristics Predict Abdominal Aortic Aneurysm Growth in a Machine Learning Model. 35-45 - Fumin Guo, Matthew Ng, Idan Roifman, Graham A. Wright:
Cardiac MRI Left Ventricular Segmentation and Function Quantification Using Pre-trained Neural Networks. 46-54 - Mengmeng Kuang, Yinzhe Wu, Diego Alonso-Álvarez, David N. Firmin, Jennifer Keegan, Peter Gatehouse, Guang Yang:
Three-Dimensional Embedded Attentive RNN (3D-EAR) Segmentor for Left Ventricle Delineation from Myocardial Velocity Mapping. 55-62 - Hao Xu, Steven A. Niederer, Steven E. Williams, David E. Newby, Michelle C. Williams, Alistair A. Young:
Whole Heart Anatomical Refinement from CCTA Using Extrapolation and Parcellation. 63-70 - Charles Sillett, Orod Razeghi, Marina Strocchi, Caroline H. Roney, Hugh O'Brien, Daniel B. Ennis, Ulrike Haberland, Ronak Rajani, Christopher A. Rinaldi, Steven A. Niederer:
Optimisation of Left Atrial Feature Tracking Using Retrospective Gated Computed Tomography Images. 71-83 - Pau Romero, Dolors Serra, Miguel Lozano, Rafael Sebastián, Ignacio García-Fernández:
Assessment of Geometric Models for the Approximation of Aorta Cross-Sections. 84-92 - Marta Orlowska, Alessandro Ramalli, Jan D'hooge:
Improved High Frame Rate Speckle Tracking for Echocardiography. 93-100 - Francesco Galati, Maria A. Zuluaga:
Efficient Model Monitoring for Quality Control in Cardiac Image Segmentation. 101-111 - Jordina Aviles, Gonzalo D. Maso Talou, Oscar Camara, Marcos Mejía Córdova, Xabier Morales Ferez, Daniel Romero, Edward Ferdian, Kathleen Gilbert, Ayah Elsayed, Alistair A. Young, Lydia Dux-Santoy, Aroa Ruiz-Muñoz, Gisela Teixido-Tura, Jose Rodriguez-Palomares, Andrea Guala:
Domain Adaptation for Automatic Aorta Segmentation of 4D Flow Magnetic Resonance Imaging Data from Multiple Vendor Scanners. 112-121 - Andre Von Zuben, Kylie Heckman, Felipe A. C. Viana, Luigi E. Perotti:
A Multi-step Machine Learning Approach for Short Axis MR Images Segmentation. 122-133
Cardiac Microstructure: Measures and Models
- Tanjib Rahman, Kévin Moulin, Daniel B. Ennis, Luigi E. Perotti:
Diffusion Biomarkers in Chronic Myocardial Infarction. 137-147 - María A. Iglesias, Oscar Camara, Marta Sitges, Gaspar Delso:
Spatially Constrained Deep Learning Approach for Myocardial T1 Mapping. 148-158 - Shunli Wang, François Varray, Feng Yuan, Isabelle E. Magnin:
A Methodology for Accessing the Local Arrangement of the Sheetlets that Make up the Extracellular Heart Tissue. 159-167 - David S. Li, Emilio A. Mendiola, Reza Avazmohammadi, Frank B. Sachse, Michael S. Sacks:
A High-Fidelity 3D Micromechanical Model of Ventricular Myocardium. 168-177 - Hilke C. H. Straatman, Imke van der Schoor, Martijn Froeling, Glenn Van Steenkiste, Robert J. Holtackers, Tammo Delhaas:
Quantitative Interpretation of Myocardial Fiber Structure in the Left and Right Ventricle of an Equine Heart Using Diffusion Tensor Cardiovascular Magnetic Resonance Imaging. 178-188 - Alexander J. Wilson, Gregory B. Sands, Daniel B. Ennis:
Analysis of Location-Dependent Cardiomyocyte Branching. 189-199 - Yunlong He, Lihui Wang, Feng Yang, Yong Xia, Patrick Clarysse, Yuemin Zhu:
Systematic Study of Joint Influence of Angular Resolution and Noise in Cardiac Diffusion Tensor Imaging. 200-210
Novel Approaches to Measuring Heart Deformation
- Michael Loecher, Ariel J. Hannum, Luigi E. Perotti, Daniel B. Ennis:
Arbitrary Point Tracking with Machine Learning to Measure Cardiac Strains in Tagged MRI. 213-222 - Maxime Di Folco, Nicolas Guigui, Patrick Clarysse, Pamela Moceri, Nicolas Duchateau:
Investigation of the Impact of Normalization on the Study of Interactions Between Myocardial Shape and Deformation. 223-231 - Zhan-Qiu Liu, Nyasha G. Maforo, Pierangelo Renella, Nancy Halnon, Holden H. Wu, Daniel B. Ennis:
Reproducibility of Left Ventricular CINE DENSE Strain in Pediatric Subjects with Duchenne Muscular Dystrophy. 232-241 - Davis M. Vigneault, Francisco Contijoch, Christopher P. Bridge, Katherine Lowe, Chelsea Jan, Elliot R. McVeigh:
M-SiSSR: Regional Endocardial Function Using Multilabel Simultaneous Subdivision Surface Registration. 242-252 - Roshan Reddy Upendra, Brian Jamison Wentz, Richard A. Simon, Suzanne M. Shontz, Cristian A. Linte:
CNN-Based Cardiac Motion Extraction to Generate Deformable Geometric Left Ventricle Myocardial Models from Cine MRI. 253-263 - Ping Lu, Wenjia Bai, Daniel Rueckert, J. Alison Noble:
Multiscale Graph Convolutional Networks for Cardiac Motion Analysis. 264-272 - Maziyar Keshavarzian, Elizabeth Fugate, Saurabh Chavan, Vy Chu, Mohammed Arif, Diana Lindquist, Sakthivel Sadayappan, Reza Avazmohammadi:
An Image Registration Framework to Estimate 3D Myocardial Strains from Cine Cardiac MRI in Mice. 273-284
Cardiac Mechanics: Measures and Models
- Abdallah I. Hasaballa, Thiranja P. Babarenda Gamage, Vicky Y. Wang, Debbie Zhao, Charlène Alice Mauger, Kathleen Gilbert, Zhinuo J. Wang, Bianca Freytag, Jie Jane Cao, Alistair A. Young, Martyn P. Nash:
Sensitivity of Myocardial Stiffness Estimates to Inter-observer Variability in LV Geometric Modelling. 287-295 - Luca Barbarotta, Peter H. M. Bovendeerd:
A Computational Approach on Sensitivity of Left Ventricular Wall Strains to Fiber Orientation. 296-304 - Fikunwa O. Kolawole, Mathias Peirlinck, Tyler E. Cork, Vicky Y. Wang, Seraina Anne Dual, Marc E. Levenston, Ellen Kuhl, Daniel B. Ennis:
A Framework for Evaluating Myocardial Stiffness Using 3D-Printed Heart Phantoms. 305-314 - Johane Bracamonte, John S. Wilson, Joao S. Soares:
Modeling Patient-Specific Periaortic Interactions with Static and Dynamic Structures Using a Moving Heterogeneous Elastic Foundation Boundary Condition. 315-327 - Sandra P. Hager, Will Zhang, Renee M. Miller, Jack Lee, David A. Nordsletten:
An Exploratory Assessment of Focused Septal Growth in Hypertrophic Cardiomyopathy. 328-339 - Luca Barbarotta, Peter H. M. Bovendeerd:
Parameter Estimation in a Rule-Based Fiber Orientation Model from End Systolic Strains Using the Reduced Order Unscented Kalman Filter. 340-350 - Lei Wang, Zhinuo J. Wang, Rubén Doste, Alfonso Santiago, Xin Zhou, Adria Quintanas, Mariano Vázquez, Blanca Rodríguez:
Effects of Fibre Orientation on Electrocardiographic and Mechanical Functions in a Computational Human Biventricular Model. 351-361 - Maria Gusseva, Joshua S. Greer, Daniel A. Castellanos, Mohamed Abdelghafar Hussein, Gerald Greil, Surendranath R. Veeram Reddy, Tarique Hussain, Dominique Chapelle, Radomír Chabiniok:
Model-Assisted Time-Synchronization of Cardiac MR Image and Catheter Pressure Data. 362-372 - Andrew D. Wisneski, Salvatore Cutugno, Ashley Stroh, Salvatore Pasta, Jiang Yao, Vaikom S. Mahadevan, Julius M. Guccione:
From Clinical Imaging to Patient-Specific Computational Model: Rapid Adaptation of the Living Heart Human Model to a Case of Aortic Stenosis. 373-381
Translational Cardiac Mechanics
- Ileana Pirozzi, Ali Kight, Edgar Aranda-Michael, Rohan Shad, Yuanjia Zhu, Lewis K. Waldman, William Hiesinger, Mark R. Cutkosky:
Cardiac Support for the Right Ventricle: Effects of Timing on Hemodynamics-Biomechanics Tradeoff. 385-395 - Bianca Freytag, Vicky Y. Wang, Debbie Zhao, Kathleen Gilbert, Gina M. Quill, Abdallah I. Hasaballa, Thiranja P. Babarenda Gamage, Robert N. Doughty, Malcolm E. Legget, Peter M. Ruygrok, Alistair A. Young, Martyn P. Nash:
In Vivo Pressure-Volume Loops and Chamber Stiffness Estimation Using Real-Time 3D Echocardiography and Left Ventricular Catheterization - Application to Post-heart Transplant Patients. 396-405 - Stefano Longobardi, Anna Sher, Steven A. Niederer:
In Silico Mapping of the Omecamtiv Mecarbil Effects from the Sarcomere to the Whole-Heart and Back Again. 406-415 - Wenbo Zhang, David S. Li, Tan Bui-Thanh, Michael S. Sacks:
High-Speed Simulation of the 3D Behavior of Myocardium Using a Neural Network PDE Approach. 416-424 - Hao Liu, Harshita Narang, Robert C. Gorman, Joseph H. Gorman III, Michael S. Sacks:
On the Interrelationship Between Left Ventricle Infarction Geometry and Ischemic Mitral Regurgitation Grade. 425-434 - Rebecca Waugh, Mohamed Abdelghafar Hussein, Jamie Weller, Kavita Sharma, Gerald Greil, Jeffrey Kahn, Tarique Hussain, Radomír Chabiniok:
Cardiac Modeling for Multisystem Inflammatory Syndrome in Children (MIS-C, PIMS-TS). 435-446 - Gaëtan Desrues, Delphine Feuerstein, Thierry Legay, Serge Cazeau, Maxime Sermesant:
Personal-by-Design: A 3D Electromechanical Model of the Heart Tailored for Personalisation. 447-457
Modeling Electrophysiology, ECG, and Arrhythmia
- Buntheng Ly, Sonny Finsterbach, Marta Nuñez Garcia, Hubert Cochet, Maxime Sermesant:
Scar-Related Ventricular Arrhythmia Prediction from Imaging Using Explainable Deep Learning. 461-470 - Maryam Toloubidokhti, Prashnna K. Gyawali, Omar A. Gharbia, Xiajun Jiang, Jaume Coll-Font, Jake A. Bergquist, Brian Zenger, Wilson W. Good, Dana H. Brooks, Rob S. MacLeod, Linwei Wang:
Deep Adaptive Electrocardiographic Imaging with Generative Forward Model for Error Reduction. 471-481 - 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. 482-492 - Jake A. Bergquist, Jaume Coll-Font, Brian Zenger, Lindsay C. Rupp, Wilson W. Good, Dana H. Brooks, Rob S. MacLeod:
Simultaneous Multi-heartbeat ECGI Solution with a Time-Varying Forward Model: A Joint Inverse Formulation. 493-502 - Dennis Ogiermann, Daniel Balzani, Luigi E. Perotti:
The Effect of Modeling Assumptions on the ECG in Monodomain and Bidomain Simulations. 503-514 - Jess D. Tate, Wilson W. Good, Nejib Zemzemi, Machteld J. Boonstra, Peter M. van Dam, Dana H. Brooks, Akil Narayan, Rob S. MacLeod:
Uncertainty Quantification of the Effects of Segmentation Variability in ECGI. 515-522 - Narimane Gassa, Nejib Zemzemi, Cesare Corrado, Yves Coudière:
Spiral Waves Generation Using an Eikonal-Reaction Cardiac Electrophysiology Model. 523-530 - Dolors Serra, Pau Romero, Miguel Lozano, Ignacio García-Fernández, Alejandro Liberos, Miguel Rodrigo, Antonio Berruezo, Alfonso Bueno-Orovio, Rafael Sebastián:
Simplified Electrophysiology Modeling Framework to Assess Ventricular Arrhythmia Risk in Infarcted Patients. 531-539 - Sanjay R. Kharche, Galina Yu. Mironova, Daniel Goldman, Christopher W. McIntyre, Donald G. Welsh:
Sensitivity Analysis of a Smooth Muscle Cell Electrophysiological Model. 540-550 - Mohamadou Malal Diallo, Yves Coudière, Rémi Dubois:
A Volume Source Method for Solving ECGI Inverse Problem. 551-560 - Michael D. Multerer, Simone Pezzuto:
Fast and Accurate Uncertainty Quantification for the ECG with Random Electrodes Location. 561-572
Cardiovascular Flow: Measures and Models
- Judith Zimmermann, Kathrin Bäumler, Michael Loecher, Tyler E. Cork, Fikunwa O. Kolawole, Kyle Gifford, Alison L. Marsden, Dominik Fleischmann, Daniel B. Ennis:
Quantitative Hemodynamics in Aortic Dissection: Comparing in Vitro MRI with FSI Simulation in a Compliant Model. 575-586 - Florian Vixège, Alain Berod, Franck Nicoud, Pierre-Yves Courand, Didier Vray, Damien Garcia:
3-D Intraventricular Vector Flow Mapping Using Triplane Doppler Echo. 587-594 - Jermiah J. Joseph, Ting-Yim Lee, Daniel Goldman, Christopher W. McIntyre, Sanjay R. Kharche:
The Role of Extra-Coronary Vascular Conditions that Affect Coronary Fractional Flow Reserve Estimation. 595-604 - 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. 605-616
Atrial Microstructure, Modeling, and Thrombosis Prediction
- Andy L. Olivares, Maria Isabel Pons, Jordi Mill, Jose Novo Matos, Patricia Garcia-Cañadilla, Inma Cerrada, Anna Guy, J. Ciaran Hutchinson, Ian Craig Simcock, Owen J. Arthurs, Andrew C. Cook, Virginia Luis Fuentes, Oscar Camara:
Shape Analysis and Computational Fluid Simulations to Assess Feline Left Atrial Function and Thrombogenesis. 619-628 - Marianne Beach, Iain Sim, Arihant Mehta, Irum Kotadia, Daniel O'Hare, John Whitaker, José Alonso Solís-Lemus, Orod Razeghi, Amedeo Chiribiri, Mark D. O'Neill, Steven Williams, Steven A. Niederer, Caroline H. Roney:
Using the Universal Atrial Coordinate System for MRI and Electroanatomic Data Registration in Patient-Specific Left Atrial Model Construction and Simulation. 629-638 - Xabier Morales, Jordi Mill, Guillem Simeon, Kristine A. Juhl, Ole De Backer, Rasmus R. Paulsen, Oscar Camara:
Geometric Deep Learning for the Assessment of Thrombosis Risk in the Left Atrial Appendage. 639-649 - Thomas Grandits, Simone Pezzuto, Francisco Sahli Costabal, Paris Perdikaris, Thomas Pock, Gernot Plank, Rolf Krause:
Learning Atrial Fiber Orientations and Conductivity Tensors from Intracardiac Maps Using Physics-Informed Neural Networks. 650-658 - Marina Strocchi, Christoph M. Augustin, Matthias A. F. Gsell, Elias Karabelas, Aurel Neic, Karli Gillette, Caroline H. Roney, Orod Razeghi, Jonathan M. Behar, Christopher A. Rinaldi, Edward J. Vigmond, Martin J. Bishop, Gernot Plank, Steven A. Niederer:
The Effect of Ventricular Myofibre Orientation on Atrial Dynamics. 659-670 - Miguel Rodrigo, Benjamin Pagano, Sumiran Takur, Alejandro Liberos, Rafael Sebastián, Sanjiv M. Narayan:
Intra-cardiac Signatures of Atrial Arrhythmias Identified by Machine Learning and Traditional Features. 671-678 - Timothy J. Hunter, Jermiah J. Joseph, Udunna Anazodo, Sanjay R. Kharche, Christopher W. McIntyre, Daniel Goldman:
Computational Modelling of the Role of Atrial Fibrillation on Cerebral Blood Perfusion. 679-686
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