@article{RuizPINN2022,
title = {Physics-informed neural networks to learn cardiac fiber orientation from multiple electro\-anatomical maps},
    author = {Ruiz-Herrera, Carlos and
              Grandits, Thomas and
              Plank, Gernot and
              Perdikaris, Paris and
              Sahli Costabal, Francisco and
              Pezzuto, Simone},
    eprinttype  = {arxiv},
    eprint = {2201.12362},
    year = {2022},
    journal = {Engineering with Computers},
}

@article{Gander2021UQ,
    title={Space-time shape uncertainty in the forward and
           inverse problem of electrocardiography},
    author={Gander, Lia and
            Krause, Rolf and
            Multerer, Michael and
            Pezzuto, Simone},
    journal={International Journal for Numerical Methods in Biomedical Engineering},
    archivePrefix = "arXiv",
    eprint        = "2010.16104",
    year = {2021},
    volume = {37},
    issue = {10},
}

%Motivation & Introduction
@article{corral_acero_digital_2020,
	title = {The ‘{Digital} {Twin}’ to enable the vision of precision cardiology},
	volume = {41},
	issn = {0195-668X},
	number = {48},
	urldate = {2021-04-18},
	journal = {European Heart Journal},
	author = {Corral-Acero, Jorge and Margara, Francesca and Marciniak, Maciej and Rodero, Cristobal and Loncaric, Filip and Feng, Yingjing and Gilbert, Andrew and Fernandes, Joao F and Bukhari, Hassaan A and Wajdan, Ali and Martinez, Manuel Villegas and Santos, Mariana Sousa and Shamohammdi, Mehrdad and Luo, Hongxing and Westphal, Philip and Leeson, Paul and DiAchille, Paolo and Gurev, Viatcheslav and Mayr, Manuel and Geris, Liesbet and Pathmanathan, Pras and Morrison, Tina and Cornelussen, Richard and Prinzen, Frits and Delhaas, Tammo and Doltra, Ada and Sitges, Marta and Vigmond, Edward J and Zacur, Ernesto and Grau, Vicente and Rodriguez, Blanca and Remme, Espen W and Niederer, Steven and Mortier, Peter and McLeod, Kristin and Potse, Mark and Pueyo, Esther and Bueno-Orovio, Alfonso and Lamata, Pablo},
	month = dec,
	year = {2020},
	pages = {4556--4564}
}

% Anatomical models
@article{peirlinck_precision_2021,
	title = {Precision medicine in human heart modeling},
	volume = {20},
	issn = {1617-7940},
	language = {en},
	number = {3},
	urldate = {2023-03-02},
	journal = {Biomechanics and Modeling in Mechanobiology},
	author = {Peirlinck, M. and Costabal, F. Sahli and Yao, J. and Guccione, J. M. and Tripathy, S. and Wang, Y. and Ozturk, D. and Segars, P. and Morrison, T. M. and Levine, S. and Kuhl, E.},
	month = jun,
	year = {2021},
	keywords = {Cardiac mechanics, Digital twin, Electrophysiology, Finite element simulation, Fluid dynamics, Machine learning, Precision medicine},
	pages = {803--831},
}

@article{rodero_linking_2021,
	title = {Linking statistical shape models and simulated function in the healthy adult human heart},
	volume = {17},
	issn = {1553-7358},
	language = {en},
	number = {4},
	urldate = {2022-09-15},
	journal = {PLOS Computational Biology},
	author = {Rodero, Cristobal and Strocchi, Marina and Marciniak, Maciej and Longobardi, Stefano and Whitaker, John and O’Neill, Mark D. and Gillette, Karli and Augustin, Christoph and Plank, Gernot and Vigmond, Edward J. and Lamata, Pablo and Niederer, Steven A.},
	month = apr,
	year = {2021},
	note = {Publisher: Public Library of Science},
	keywords = {Heart, Deformation, Cardiac atria, Cardiac ventricles, Computed axial tomography, Biophysical simulations, Cardiovascular physiology, Fractals},
	pages = {e1008851}
}



@inproceedings{park_deepsdf_2019,
	author={Park, Jeong Joon and Florence, Peter and Straub, Julian and Newcombe, Richard and Lovegrove, Steven},
    booktitle={2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, 
    title={DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation}, 
    year={2019},
    volume={},
    number={},
    pages={165-174},
    doi={10.1109/CVPR.2019.00025}
}

@inproceedings{liu_learning_2022,
author = {Liu, Hsueh-Ti Derek and Williams, Francis and Jacobson, Alec and Fidler, Sanja and Litany, Or},
title = {Learning Smooth Neural Functions via Lipschitz Regularization},
year = {2022},
publisher = {Association for Computing Machinery},
booktitle = {ACM SIGGRAPH 2022 Conference Proceedings},
}


@article{gao_gaussian_2019,
	title = {Gaussian {Process} {Landmarking} on {Manifolds}},
	volume = {1},
	number = {1},
	urldate = {2021-11-18},
	journal = {SIAM Journal on Mathematics of Data Science},
	author = {Gao, Tingran and Kovalsky, Shahar Z. and Daubechies, Ingrid},
	month = jan,
	year = {2019},
	note = {Publisher: Society for Industrial and Applied Mathematics},
	keywords = {60G15, 62K05, 65D18, active learning, experimental design, Gaussian process, geometric morphometrics, manifold learning, reduced basis methods},
	pages = {208--236},
}

%Other methods
@inproceedings{shen_deep_2021,
	title = {Deep {Marching} {Tetrahedra}: a {Hybrid} {Representation} for {High}-{Resolution} {3D} {Shape} {Synthesis}},
	booktitle = {Advances in {Neural} {Information} {Processing} {Systems} ({NeurIPS})},
	author = {Shen, Tianchang and Gao, Jun and Yin, Kangxue and Liu, Ming-Yu and Fidler, Sanja},
	year = {2021},
}

@inproceedings{mescheder_occupancy_2019,
	title = {Occupancy {Networks}: {Learning} {3D} {Reconstruction} in {Function} {Space}},
	shorttitle = {Occupancy {Networks}},
	booktitle = {2019 {IEEE}/{CVF} {Conference} on {Computer} {Vision} and {Pattern} {Recognition} ({CVPR})},
	author = {Mescheder, Lars and Oechsle, Michael and Niemeyer, Michael and Nowozin, Sebastian and Geiger, Andreas},
	month = jun,
	year = {2019},
	note = {ISSN: 2575-7075},
	keywords = {3D from Single Image, Deep Learning},
	pages = {4455--4465}
}


%Datasets
@misc{rodero_virtual_2021,
	title = {Virtual cohort of adult healthy four-chamber heart meshes from {CT} images},
	url = {https://zenodo.org/record/4590294},
	language = {eng},
	urldate = {2021-10-25},
	publisher = {Zenodo},
	author = {Rodero, Cristobal and Strocchi, Marina and Marciniak, Maciej and Longobardi, Stefano and Whitaker, John and O'Neill, Mark D. and Gillette, Karli and Augustin, Christoph and Plank, Gernot and Vigmond, Edward J. and Lamata, Pablo and Niederer, Steven A.},
	month = mar,
	year = {2021},
	note = {Type: dataset},
	keywords = {Electrophysiology, Cardiac Meshes, Cardiac Model, Finite Elements, Four-chamber Heart, Heart Model, Mechanics, Principal Component Analysis, Statistical Shape Analysis, Statistical Shape Model, Virtual Patient Cohort},
}

@misc{strocchi_publicly_zenodo_2020,
	title = {A {Publicly} {Available} {Virtual} {Cohort} of {Four}-chamber {Heart} {Meshes} for {Cardiac} {Electro}-mechanics {Simulations}},
	url = {https://zenodo.org/record/3890034},
	urldate = {2021-11-16},
	publisher = {Zenodo},
	author = {Strocchi, Marina and Augustin, Christoph M. and Gsell, Matthias A. F. and Karabelas, Elias and Neic, Aurel and Gillette, Karli and Razeghi, Orod and Prassl, Anton J. and Vigmond, Edward J. and Behar, Jonathan M. and Gould, Justin S. and Sidhu, Baldeep and Rinaldi, Christopher A. and Bishop, Martin J. and Plank, Gernot and Niederer, Steven A.},
	month = jun,
	year = {2020},
	note = {Type: dataset},
	keywords = {Four-chamber Heart, Heart Model, Electrophysiology, Mechanics, Finite Elements}
}

@article{strocchi_publicly_plos_2020,
	title = {A publicly available virtual cohort of four-chamber heart meshes for cardiac electro-mechanics simulations},
	volume = {15},
	issn = {1932-6203},
	language = {en},
	number = {6},
	urldate = {2021-08-11},
	journal = {PLOS ONE},
	author = {Strocchi, Marina and Augustin, Christoph M. and Gsell, Matthias A. F. and Karabelas, Elias and Neic, Aurel and Gillette, Karli and Razeghi, Orod and Prassl, Anton J. and Vigmond, Edward J. and Behar, Jonathan M. and Gould, Justin and Sidhu, Baldeep and Rinaldi, Christopher A. and Bishop, Martin J. and Plank, Gernot and Niederer, Steven A.},
	month = jun,
	year = {2020},
	note = {Publisher: Public Library of Science},
	keywords = {Heart, Myocardium, Aorta, Cardiac atria, Cardiac ventricles, Computed axial tomography, Pulmonary arteries, Veins},
	pages = {e0235145},
}

%Misc tools
@article{bayer_universal_2018,
	title = {Universal ventricular coordinates: {A} generic framework for describing position within the heart and transferring data},
	volume = {45},
	issn = {1361-8415},
	shorttitle = {Universal ventricular coordinates},
	language = {en},
	urldate = {2021-08-24},
	journal = {Medical Image Analysis},
	author = {Bayer, Jason and Prassl, Anton J. and Pashaei, Ali and Gomez, Juan F. and Frontera, Antonio and Neic, Aurel and Plank, Gernot and Vigmond, Edward J.},
	month = apr,
	year = {2018},
	keywords = {Coordinates, Deformation, Mapping, Volumetric meshes},
	pages = {83--93}
}

%Software
@article{perez_garcia_torchio_2021,
   title = {TorchIO: a Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning},
   journal = {Computer Methods and Programs in Biomedicine},
   pages = {106236},
   year = {2021},
   issn = {0169-2607},
   author = {P{\'e}rez-Garc{\'i}a, Fernando and Sparks, Rachel and Ourselin, S{\'e}bastien},
}


@article{sullivan_pyvista_2019,
  year = {2019},
  month = may,
  publisher = {The Open Journal},
  volume = {4},
  number = {37},
  pages = {1450},
  author = {C. Bane Sullivan and Alexander Kaszynski},
  title = {{PyVista}: 3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit ({VTK})},
  journal = {Journal of Open Source Software}
}

@article{grandits_fast_2021,
	title = {A {Fast} {Iterative} {Method} {Python} package},
	volume = {6},
	issn = {2475-9066},
	language = {en},
	number = {66},
	urldate = {2021-10-23},
	journal = {Journal of Open Source Software},
	author = {Grandits, Thomas},
	month = oct,
	year = {2021},
	pages = {3641}
}

%Point2Surf
@article{hanocka_p2m_2020,
  title = {Point2Mesh: A Self-Prior for Deformable Meshes},
  author = {Hanocka, Rana and Metzer, Gal and Giryes, Raja and Cohen-Or, Daniel},
  year = {2020},
  issue_date = {July 2020}, 
  publisher = {Association for Computing Machinery}, 
  volume = {39}, 
  number = {4}, 
  issn = {0730-0301},
  journal = {ACM Trans. Graph.}, 
}

@inproceedings{ma_neuralpull_2021,
    title = {Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces},
    author = {Baorui, Ma and Zhizhong, Han and Yu-Shen, Liu and Matthias, Zwicker},
    booktitle = {International Conference on Machine Learning (ICML)},
    year = {2021}
}

@article{kazhdan_screened_2013,
  title={Screened poisson surface reconstruction},
  author={Kazhdan, Michael and Hoppe, Hugues},
  journal={ACM Transactions on Graphics (ToG)},
  volume={32},
  number={3},
  pages={1--13},
  year={2013},
  publisher={ACM New York, NY, USA}
}

@inproceedings{groueix_atlasnet_2018,
	title={{AtlasNet: A Papier-M\^ach\'e Approach to Learning 3D Surface Generation}},
	author={Groueix, Thibault and Fisher, Matthew and Kim, Vladimir G. and Russell, Bryan and Aubry, Mathieu},
	booktitle={Proceedings IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)},
	year={2018}
}

@inproceedings{ma_surface_2022,
  title={Surface reconstruction from point clouds by learning predictive context priors},
  author={Ma, Baorui and Liu, Yu-Shen and Zwicker, Matthias and Han, Zhizhong},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={6326--6337},
  year={2022}
}

@inproceedings{beetz_point2meshnet_2023,
  title={Point2Mesh-Net: Combining Point Cloud and Mesh-Based Deep Learning for Cardiac Shape Reconstruction},
  author={Beetz, Marcel and Banerjee, Abhirup and Grau, Vicente},
  booktitle={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},
  pages={280--290},
  year={2023},
  organization={Springer}
}

@inproceedings{alblas_going_2023,
  title={Going Off-Grid: Continuous Implicit Neural Representations for 3D Vascular Modeling},
  author={Alblas, Dieuwertje and Brune, Christoph and Yeung, Kak Khee and Wolterink, Jelmer M},
  booktitle={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},
  pages={79--90},
  year={2023},
  organization={Springer}
}

%Segmentations
@article{zhuang_cardiac_2022,
	title = {Cardiac segmentation on late gadolinium enhancement {MRI}: {A} benchmark study from multi-sequence cardiac {MR} segmentation challenge},
	volume = {81},
	issn = {1361-8415},
	shorttitle = {Cardiac segmentation on late gadolinium enhancement {MRI}},
	language = {en},
	urldate = {2023-03-02},
	journal = {Medical Image Analysis},
	author = {Zhuang, Xiahai and Xu, Jiahang and Luo, Xinzhe and Chen, Chen and Ouyang, Cheng and Rueckert, Daniel and Campello, Victor M. and Lekadir, Karim and Vesal, Sulaiman and RaviKumar, Nishant and Liu, Yashu and Luo, Gongning and Chen, Jingkun and Li, Hongwei and Ly, Buntheng and Sermesant, Maxime and Roth, Holger and Zhu, Wentao and Wang, Jiexiang and Ding, Xinghao and Wang, Xinyue and Yang, Sen and Li, Lei},
	month = oct,
	year = {2022},
	keywords = {Benchmark, Cardiac MRI segmentation, Challenge, Multi-sequence},
	pages = {102528},
}

@article{campello_multi_centre_2021,
	title = {Multi-{Centre}, {Multi}-{Vendor} and {Multi}-{Disease} {Cardiac} {Segmentation}: {The} {M}\&{Ms} {Challenge}},
	volume = {40},
	issn = {1558-254X},
	shorttitle = {Multi-{Centre}, {Multi}-{Vendor} and {Multi}-{Disease} {Cardiac} {Segmentation}},
	number = {12},
	journal = {IEEE Transactions on Medical Imaging},
	author = {Campello, Víctor M. and Gkontra, Polyxeni and Izquierdo, Cristian and Martín-Isla, Carlos and Sojoudi, Alireza and Full, Peter M. and Maier-Hein, Klaus and Zhang, Yao and He, Zhiqiang and Ma, Jun and Parreño, Mario and Albiol, Alberto and Kong, Fanwei and Shadden, Shawn C. and Acero, Jorge Corral and Sundaresan, Vaanathi and Saber, Mina and Elattar, Mustafa and Li, Hongwei and Menze, Bjoern and Khader, Firas and Haarburger, Christoph and Scannell, Cian M. and Veta, Mitko and Carscadden, Adam and Punithakumar, Kumaradevan and Liu, Xiao and Tsaftaris, Sotirios A. and Huang, Xiaoqiong and Yang, Xin and Li, Lei and Zhuang, Xiahai and Viladés, David and Descalzo, Martín L. and Guala, Andrea and Mura, Lucia La and Friedrich, Matthias G. and Garg, Ria and Lebel, Julie and Henriques, Filipe and Karakas, Mahir and Çavuş, Ersin and Petersen, Steffen E. and Escalera, Sergio and Seguí, Santi and Rodríguez-Palomares, José F. and Lekadir, Karim},
	month = dec,
	year = {2021},
	note = {Conference Name: IEEE Transactions on Medical Imaging},
	pages = {3543--3554},
}

@article{painchaud_cardiac_2020,
	title = {Cardiac {Segmentation} {With} {Strong} {Anatomical} {Guarantees}},
	volume = {39},
	issn = {1558-254X},
	number = {11},
	journal = {IEEE Transactions on Medical Imaging},
	author = {Painchaud, Nathan and Skandarani, Youssef and Judge, Thierry and Bernard, Olivier and Lalande, Alain and Jodoin, Pierre-Marc},
	month = nov,
	year = {2020},
	note = {Conference Name: IEEE Transactions on Medical Imaging},
	keywords = {cardiac segmentation, CNN, Image segmentation, Magnetic resonance imaging, MRI, Neural networks, Shape, Three-dimensional displays, Ultrasonic imaging, ultrasound, variational autoencoder},
	pages = {3703--3713},
}

%Outlook
@article{raissi_physics_informed_2019,
	title = {Physics-informed neural networks: {A} deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations},
	volume = {378},
	issn = {0021-9991},
	shorttitle = {Physics-informed neural networks},
	language = {en},
	urldate = {2020-03-16},
	journal = {Journal of Computational Physics},
	author = {Raissi, M. and Perdikaris, P. and Karniadakis, G. E.},
	month = feb,
	year = {2019},
	keywords = {Machine learning, Data-driven scientific computing, Nonlinear dynamics, Predictive modeling, Runge-Kutta methods},
	pages = {686--707},
}

@incollection{erler_2020_points2surf,
	year = 2020,
	publisher = {Springer International Publishing},  
	pages = {108--124},  
	author = {Philipp Erler and Paul Guerrero and Stefan Ohrhallinger and Niloy J. Mitra and Michael Wimmer},  
	title = {Points2Surf Learning Implicit Surfaces from Point Clouds},  
	booktitle = {Computer Vision {\textendash} {ECCV} 2020},
}

@article{hanocka_2020_point2mesh,
  title = {Point2Mesh: A Self-Prior for Deformable Meshes},
  author = {Hanocka, Rana and Metzer, Gal and Giryes, Raja and Cohen-Or, Daniel},
  year = {2020},
  issue_date = {July 2020}, 
  publisher = {Association for Computing Machinery}, 
  volume = {39}, 
  number = {4}, 
  issn = {0730-0301},
  journal = {ACM Trans. Graph.}, 
}

@article{kingma_2014_adam,
  title={Adam: A method for stochastic optimization},
  author={Kingma, Diederik P and Ba, Jimmy},
  journal={The International Conference on Learning Representations (ICLR)},
  year={2015}
}

@article{petersen_reference_2017,
	title = {Reference ranges for cardiac structure and function using cardiovascular magnetic resonance ({CMR}) in {Caucasians} from the {UK} {Biobank} population cohort},
	volume = {19},
	issn = {1532-429X},
	number = {1},
	urldate = {2023-05-11},
	journal = {Journal of Cardiovascular Magnetic Resonance},
	author = {Petersen, Steffen E. and Aung, Nay and Sanghvi, Mihir M. and Zemrak, Filip and Fung, Kenneth and Paiva, Jose Miguel and Francis, Jane M. and Khanji, Mohammed Y. and Lukaschuk, Elena and Lee, Aaron M. and Carapella, Valentina and Kim, Young Jin and Leeson, Paul and Piechnik, Stefan K. and Neubauer, Stefan},
	month = feb,
	year = {2017},
	keywords = {Atrial function, Cardiovascular magnetic resonance, Reference values, Ventricular function},
	pages = {18}
}

@article{bhakta_principles_2008,
	title = {Principles of electroanatomic mapping},
	volume = {8},
	number = {1},
	journal = {Indian pacing and electrophysiology journal},
	author = {Bhakta, Deepak and Miller, John M},
	year = {2008},
	note = {Publisher: Elsevier},
	pages = {32}
}

@article{beetz_interpretable_2022,
	title={Interpretable cardiac anatomy modeling using variational mesh autoencoders},   
	author={Beetz, Marcel and Corral Acero, Jorge and Banerjee, Abhirup and Eitel, Ingo and Zacur, Ernesto and Lange, Torben and Stiermaier, Thomas and Evertz, Ruben and Backhaus, Sören J. and Thiele, Holger and Bueno-Orovio, Alfonso and Lamata, Pablo and Schuster, Andreas and Grau, Vicente},
	journal={Frontiers in Cardiovascular Medicine},      
	volume={9},
	year={2022},              
	issn={2297-055X}
}

@article{zhao_convolutional_2022,
	author={Xiong, Zhaohan and Stiles, Martin K. and Yao, Yan and Shi, Rui and Nalar, Aaqel and Hawson, Josh and Lee, Geoffrey and Zhao, Jichao},   
	title={Automatic 3D Surface Reconstruction of the Left Atrium From Clinically Mapped Point Clouds Using Convolutional Neural Networks},      
	journal={Frontiers in Physiology},      
	volume={13},           
	year={2022},          
	issn={1664-042X}, 
}

@misc{gropp_implicit_2020,
      title={Implicit Geometric Regularization for Learning Shapes}, 
      author={Amos Gropp and Lior Yariv and Niv Haim and Matan Atzmon and Yaron Lipman},
      year={2020},
      eprint={2002.10099},
      archivePrefix={arXiv},
      primaryClass={cs.LG}
}

@InProceedings{alblas_implicit_2023,
author="Alblas, Dieuwertje
and Hofman, Marieke
and Brune, Christoph
and Yeung, Kak Khee
and Wolterink, Jelmer M.",
editor="Bernard, Olivier
and Clarysse, Patrick
and Duchateau, Nicolas
and Ohayon, Jacques
and Viallon, Magalie",
title="Implicit Neural Representations for Modeling of Abdominal Aortic Aneurysm Progression",
booktitle="Functional Imaging and Modeling of the Heart",
year="2023",
publisher="Springer Nature Switzerland",
address="Cham",
pages="356--365",
}



@article{kong_learning_2021,
title = {A deep-learning approach for direct whole-heart mesh reconstruction},
journal = {Medical Image Analysis},
volume = {74},
pages = {102222},
year = {2021},
issn = {1361-8415},
author = {Fanwei Kong and Nathan Wilson and Shawn Shadden},
keywords = {Whole heart segmentation, Surface mesh reconstruction, Graph convolutional networks, Deep learning}
}

@article{Pezzuto2021ECG,
    title = {Reconstruction of three-dimensional
             biventricular activation based on the 12-lead
             electrocardiogram via patient-specific modelling},
    author = {Pezzuto, Simone and
              Prinzen, Frits W. and
              Potse, Mark and
              Maffessanti, Francesco and
              Regoli, Fran{\c{c}}ois and
              Caputo, Maria Luce and
              Conte, Giulio and
              Krause, Rolf and
              Auricchio, Angelo},
    journal = {EP Europace},
    publisher = {Oxford University Press},
    year = {2021},
    volume = {23},
    number = {4},
    pages = {640-647},
}

@article{Maffessanti2020scar,
  title={The influence of scar on the spatio-temporal
         relationship between electrical and mechanical
         activation in heart failure patients},
  author={Maffessanti, Francesco and
          Jadczyk, Tomasz and
          Kurzelowski, Rados{\l}aw and
          Regoli, Fran{\c{c}}ois and
          Caputo, Maria Luce and
          Conte, Giulio and
          Go{\l}ba, Krzysztof S and
          Biernat, Jolanta and
          Wilczek, Jacek and
          D{\k{a}}browska, Magdalena and
          Pezzuto, Simone and
          Moccetti, Tiziano and
          Krause, Rolf and
          Wojakowski, Wojciech and
          Prinzen, Frits W and
          Auricchio, Angelo},
  journal={EP Europace},
  volume={22},
  number={5},
  pages={777--786},
  year={2020},
  publisher={Oxford University Press},
}

@article{bai_atlas_2015,
	title={A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion},
	author={Bai, W and Shi, W and de Marvao, A and Dawes, TJ and O'Regan, DP and Cook, SA and Rueckert, D},
	journal={Med Image Anal.},
	volume={26},
	number={1},
	pages={133-45},
	year={2015},
	publisher={Oxford University Press},
}

@article{ecabert_ssm_2008,
	author={Ecabert, Olivier and Peters, Jochen and Schramm, Hauke and Lorenz, Cristian and von Berg, Jens and Walker, Matthew J. and Vembar, Mani and Olszewski, Mark E. and Subramanyan, Krishna and Lavi, Guy and Weese, JÜrgen},
	journal={IEEE Transactions on Medical Imaging},
	title={Automatic Model-Based Segmentation of the Heart in CT Images},
	year={2008},
	volume={27},
	number={9},
	pages={1189-1201},
}

@article{hoogendoorn_atlas_2013,
	author={Hoogendoorn, Corné and Duchateau, Nicolas and Sanchez-Quintana, Damián and Whitmarsh, Tristan and Sukno, Federico M. and De Craene, Mathieu and Lekadir, Karim and Frangi, Alejandro F.},
	journal={IEEE Transactions on Medical Imaging}, 
	title={A High-Resolution Atlas and Statistical Model of the Human Heart From Multislice CT}, 
	year={2013},
	volume={32},
	number={1},
	pages={28-44},
}


@article{nagel_atlas_2021,
	title = {A bi-atrial statistical shape model for large-scale in silico studies of human atria: Model development and application to ECG simulations},
	journal = {Medical Image Analysis},
	volume = {74},
	pages = {102210},
	year = {2021},
	issn = {1361-8415},
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	issn = {1361-8415},
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}

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title = {Reconstruction and completion of high-resolution 3D cardiac shapes using anisotropic CMRI segmentations and continuous implicit neural representations},
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volume = {164},
pages = {107266},
year = {2023},
issn = {0010-4825},
author = {Jörg Sander and Bob D. {de Vos} and Steffen Bruns and Nils Planken and Max A. Viergever and Tim Leiner and Ivana Išgum},
keywords = {Cardiac MRI, Neural implicit function, Super-resolution, Shape completion, Shape reconstruction}
}

@inproceedings{wang_joint_2021,
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}

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@misc{grandits_public_2024,
	title = {A public manifold left/right ventricular database},
	url = {https://zenodo.org/records/7687883},
	doi = {10.5281/zenodo.7687883},
	urldate = {2024-05-21},
	publisher = {Zenodo},
	author = {Grandits, Thomas and Verhülsdonk, Jan and Sahli Costabal, Francisco and Pinetz, Thomas and Effland, Alexander and Pezzuto, Simone},
	month = may,
	year = {2024},
}

