@article{intro_adabag2010sudden,
  title={Sudden cardiac death: epidemiology and risk factors},
  author={Adabag, A Selcuk and Luepker, Russell V and Roger, V{\'e}ronique L and Gersh, Bernard J},
  journal={Nature Reviews Cardiology},
  volume={7},
  number={4},
  pages={216--225},
  year={2010},
  publisher={Nature Publishing Group UK London}
}

@article{chugh2008epidemiology,
  title={Epidemiology of sudden cardiac death: clinical and research implications},
  author={Chugh, Sumeet S and Reinier, Kyndaron and Teodorescu, Carmen and Evanado, Audrey and Kehr, Elizabeth and Al Samara, Mershed and Mariani, Ronald and Gunson, Karen and Jui, Jonathan},
  journal={Progress in cardiovascular diseases},
  volume={51},
  number={3},
  pages={213--228},
  year={2008},
  publisher={Elsevier}
}

@article{nanthakumar2004prophylactic,
  title={Prophylactic implantable cardioverter-defibrillator therapy in patients with left ventricular systolic dysfunction: a pooled analysis of 10 primary prevention trials},
  author={Nanthakumar, Kumaraswamy and Epstein, Andrew E and Kay, G Neal and Plumb, Vance J and Lee, Douglas S},
  journal={Journal of the American College of Cardiology},
  volume={44},
  number={11},
  pages={2166--2172},
  year={2004},
  publisher={American College of Cardiology Foundation Washington, DC}
}

@inproceedings{geirhos2018-texturebias,
  title={ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness},
  author={Geirhos, Robert and Rubisch, Patricia and Michaelis, Claudio and Bethge, Matthias and Wichmann, Felix A and Brendel, Wieland},
  booktitle={International conference on learning representations},
  year={2018}
}

@article{hermann2020-texturebias,
  title={The origins and prevalence of texture bias in convolutional neural networks},
  author={Hermann, Katherine and Chen, Ting and Kornblith, Simon},
  journal={Advances in Neural Information Processing Systems},
  volume={33},
  pages={19000--19015},
  year={2020}
}

@article{wessels2024-ENF,
  title={Grounding continuous representations in geometry: Equivariant neural fields},
  author={Wessels, David R and Knigge, David M and Papa, Samuele and Valperga, Riccardo and Vadgama, Sharvaree and Gavves, Efstratios and Bekkers, Erik J},
  journal={arXiv preprint arXiv:2406.05753},
  year={2024}
}

@inproceedings{xie2022neural,
  title={Neural fields in visual computing and beyond},
  author={Xie, Yiheng and Takikawa, Towaki and Saito, Shunsuke and Litany, Or and Yan, Shiqin and Khan, Numair and Tombari, Federico and Tompkin, James and Sitzmann, Vincent and Sridhar, Srinath},
  booktitle={Computer Graphics Forum},
  volume={41},
  number={2},
  pages={641--676},
  year={2022},
  organization={Wiley Online Library}
}

@article{kim2003approximation,
  title={Approximation by fully complex multilayer perceptrons},
  author={Kim, Taehwan and Adal{\i}, T{\"u}lay},
  journal={Neural computation},
  volume={15},
  number={7},
  pages={1641--1666},
  year={2003},
  publisher={MIT Press One Rogers Street, Cambridge, MA 02142-1209, USA journals-info~…}
}

@article{tancik2020fourier,
  title={Fourier features let networks learn high frequency functions in low dimensional domains},
  author={Tancik, Matthew and Srinivasan, Pratul and Mildenhall, Ben and Fridovich-Keil, Sara and Raghavan, Nithin and Singhal, Utkarsh and Ramamoorthi, Ravi and Barron, Jonathan and Ng, Ren},
  journal={Advances in neural information processing systems},
  volume={33},
  pages={7537--7547},
  year={2020}
}

@inproceedings{tancik2021learned,
  title={Learned initializations for optimizing coordinate-based neural representations},
  author={Tancik, Matthew and Mildenhall, Ben and Wang, Terrance and Schmidt, Divi and Srinivasan, Pratul P and Barron, Jonathan T and Ng, Ren},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={2846--2855},
  year={2021}
}

@article{mildenhall2021nerf,
  title={Nerf: Representing scenes as neural radiance fields for view synthesis},
  author={Mildenhall, Ben and Srinivasan, Pratul P and Tancik, Matthew and Barron, Jonathan T and Ramamoorthi, Ravi and Ng, Ren},
  journal={Communications of the ACM},
  volume={65},
  number={1},
  pages={99--106},
  year={2021},
  publisher={ACM New York, NY, USA}
}

@article{sitzmann2020metasdf,
  title={Metasdf: Meta-learning signed distance functions},
  author={Sitzmann, Vincent and Chan, Eric and Tucker, Richard and Snavely, Noah and Wetzstein, Gordon},
  journal={Advances in Neural Information Processing Systems},
  volume={33},
  pages={10136--10147},
  year={2020}
}

@article{dupont2022data,
  title={From data to functa: Your data point is a function and you can treat it like one},
  author={Dupont, Emilien and Kim, Hyunjik and Eslami, SM and Rezende, Danilo and Rosenbaum, Dan},
  journal={arXiv preprint arXiv:2201.12204},
  year={2022}
}

% DEFINITION FIELD
@article{feynman1965feynman,
  title={The feynman lectures on physics; vol. i},
  author={Feynman, Richard P and Leighton, Robert B and Sands, Matthew and Hafner, Everett M},
  journal={American Journal of Physics},
  volume={33},
  number={9},
  pages={750--752},
  year={1965},
  publisher={American Association of Physics Teachers}
}

% DEFINITION FIELD
@article{mcmullin2002origins,
  title={The origins of the field concept in physics},
  author={McMullin, Ernan},
  journal={Physics in Perspective},
  volume={4},
  pages={13--39},
  year={2002},
  publisher={Springer}
}

@article{kim2003approximationt,
  title={Approximation by fully complex multilayer perceptrons},
  author={Kim, Taehwan and Adali, T{\"u}lay},
  journal={Neural computation},
  volume={15},
  number={7},
  pages={1641--1666},
  year={2003},
  publisher={MIT Press One Rogers Street, Cambridge, MA 02142-1209, USA journals-info~…}
}

@inproceedings{park2019deepsdf,
  title={Deepsdf: Learning continuous signed distance functions for shape representation},
  author={Park, Jeong Joon and Florence, Peter and Straub, Julian and Newcombe, Richard and Lovegrove, Steven},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={165--174},
  year={2019}
}

@inproceedings{mescheder2019occupancy,
  title={Occupancy networks: Learning 3d reconstruction in function space},
  author={Mescheder, Lars and Oechsle, Michael and Niemeyer, Michael and Nowozin, Sebastian and Geiger, Andreas},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={4460--4470},
  year={2019}
}

@inproceedings{papa2024train,
  title={How to train neural field representations: A comprehensive study and benchmark},
  author={Papa, Samuele and Valperga, Riccardo and Knigge, David and Kofinas, Miltiadis and Lippe, Phillip and Sonke, Jan-Jakob and Gavves, Efstratios},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={22616--22625},
  year={2024}
}

@article{cohen2018spherical,
  title={Spherical cnns},
  author={Cohen, Taco S and Geiger, Mario and K{\"o}hler, Jonas and Welling, Max},
  journal={arXiv preprint arXiv:1801.10130},
  year={2018}
}

@inproceedings{rahaman2019spectral,
  title={On the spectral bias of neural networks},
  author={Rahaman, Nasim and Baratin, Aristide and Arpit, Devansh and Draxler, Felix and Lin, Min and Hamprecht, Fred and Bengio, Yoshua and Courville, Aaron},
  booktitle={International conference on machine learning},
  pages={5301--5310},
  year={2019},
  organization={PMLR}
}

@article{stanley2007compositional,
  title={Compositional pattern producing networks: A novel abstraction of development},
  author={Stanley, Kenneth O},
  journal={Genetic programming and evolvable machines},
  volume={8},
  pages={131--162},
  year={2007},
  publisher={Springer}
}

@article{ha2016generating,
  title={Generating large images from latent vectors},
  author={Ha, David},
  year={2016}
}

@inproceedings{chen2019learning,
  title={Learning implicit fields for generative shape modeling},
  author={Chen, Zhiqin and Zhang, Hao},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={5939--5948},
  year={2019}
}

@inproceedings{li2021neural,
  title={Neural scene flow fields for space-time view synthesis of dynamic scenes},
  author={Li, Zhengqi and Niklaus, Simon and Snavely, Noah and Wang, Oliver},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={6498--6508},
  year={2021}
}

@article{knigge2024space,
  title={Space-time continuous pde forecasting using equivariant neural fields},
  author={Knigge, David and Wessels, David and Valperga, Riccardo and Papa, Samuele and Sonke, Jan-Jakob and Bekkers, Erik and Gavves, Efstratios},
  journal={Advances in Neural Information Processing Systems},
  volume={37},
  pages={76553--76577},
  year={2024}
}

@inproceedings{takikawa2021neural,
  title={Neural geometric level of detail: Real-time rendering with implicit 3d shapes},
  author={Takikawa, Towaki and Litalien, Joey and Yin, Kangxue and Kreis, Karsten and Loop, Charles and Nowrouzezahrai, Derek and Jacobson, Alec and McGuire, Morgan and Fidler, Sanja},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={11358--11367},
  year={2021}
}

@inproceedings{finn2017model,
  title={Model-agnostic meta-learning for fast adaptation of deep networks},
  author={Finn, Chelsea and Abbeel, Pieter and Levine, Sergey},
  booktitle={International conference on machine learning},
  pages={1126--1135},
  year={2017},
  organization={PMLR}
}

@article{bauer2023spatial,
  title={Spatial functa: Scaling functa to imagenet classification and generation},
  author={Bauer, Matthias and Dupont, Emilien and Brock, Andy and Rosenbaum, Dan and Schwarz, Jonathan Richard and Kim, Hyunjik},
  journal={arXiv preprint arXiv:2302.03130},
  year={2023}
}

@inproceedings{van2019capsulenet,
  title={CapsuleNet for micro-expression recognition},
  author={Van Quang, Nguyen and Chun, Jinhee and Tokuyama, Takeshi},
  booktitle={2019 14th IEEE international conference on automatic face \& gesture recognition (FG 2019)},
  pages={1--7},
  year={2019},
  organization={IEEE}
}

@inproceedings{vadgama2022kendall,
  title={Kendall shape-VAE: Learning shapes in a generative framework},
  author={Vadgama, Sharvaree and Tomczak, Jakub Mikolaj and Bekkers, Erik J},
  booktitle={NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations},
  year={2022}
}

@inproceedings{vadgama2023continuous,
  title={Continuous Kendall shape variational autoencoders},
  author={Vadgama, Sharvaree and Tomczak, Jakub M and Bekkers, Erik},
  booktitle={International Conference on Geometric Science of Information},
  pages={73--81},
  year={2023},
  organization={Springer}
}

@inproceedings{atzmon2022frame,
  title={Frame averaging for equivariant shape space learning},
  author={Atzmon, Matan and Nagano, Koki and Fidler, Sanja and Khamis, Sameh and Lipman, Yaron},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={631--641},
  year={2022}
}

@article{chatzipantazis2022se,
  title={SE (3)-equivariant attention networks for shape reconstruction in function space},
  author={Chatzipantazis, Evangelos and Pertigkiozoglou, Stefanos and Dobriban, Edgar and Daniilidis, Kostas},
  journal={arXiv preprint arXiv:2204.02394},
  year={2022}
}

@article{bekkers2019b,
  title={B-spline cnns on lie groups},
  author={Bekkers, Erik J},
  journal={arXiv preprint arXiv:1909.12057},
  year={2019}
}

@article{cohen2019general,
  title={A general theory of equivariant cnns on homogeneous spaces},
  author={Cohen, Taco S and Geiger, Mario and Weiler, Maurice},
  journal={Advances in neural information processing systems},
  volume={32},
  year={2019}
}

@article{weiler2019general,
  title={General e (2)-equivariant steerable cnns},
  author={Weiler, Maurice and Cesa, Gabriele},
  journal={Advances in neural information processing systems},
  volume={32},
  year={2019}
}

@inproceedings{deng2021vector,
  title={Vector neurons: A general framework for so (3)-equivariant networks},
  author={Deng, Congyue and Litany, Or and Duan, Yueqi and Poulenard, Adrien and Tagliasacchi, Andrea and Guibas, Leonidas J},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={12200--12209},
  year={2021}
}

@article{zhang20233dshape2vecset,
  title={3dshape2vecset: A 3d shape representation for neural fields and generative diffusion models},
  author={Zhang, Biao and Tang, Jiapeng and Niessner, Matthias and Wonka, Peter},
  journal={ACM Transactions On Graphics (TOG)},
  volume={42},
  number={4},
  pages={1--16},
  year={2023},
  publisher={ACM New York, NY, USA}
}

@inproceedings{perez2018,
  title={Film: Visual reasoning with a general conditioning layer},
  author={Perez, Ethan and Strub, Florian and De Vries, Harm and Dumoulin, Vincent and Courville, Aaron},
  booktitle={Proceedings of the AAAI conference on artificial intelligence},
  volume={32},
  number={1},
  year={2018}
}

@inproceedings{chollet2017xception,
  title={Xception: Deep learning with depthwise separable convolutions},
  author={Chollet, Fran{\c{c}}ois},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={1251--1258},
  year={2017}
}

@article{bekkers2023fast,
  title={Fast, Expressive SE $(n) $ Equivariant Networks through Weight-Sharing in Position-Orientation Space},
  author={Bekkers, Erik J and Vadgama, Sharvaree and Hesselink, Rob D and Van der Linden, Putri A and Romero, David W},
  journal={arXiv preprint arXiv:2310.02970},
  year={2023}
}

@article{koishekenov2023exploration,
  title={An exploration of conditioning methods in graph neural networks},
  author={Koishekenov, Yeskendir and Bekkers, Erik J},
  journal={arXiv preprint arXiv:2305.01933},
  year={2023}
}

@inproceedings{zhao2021point,
  title={Point transformer},
  author={Zhao, Hengshuang and Jiang, Li and Jia, Jiaya and Torr, Philip HS and Koltun, Vladlen},
  booktitle={Proceedings of the IEEE/CVF international conference on computer vision},
  pages={16259--16268},
  year={2021}
}

@article{cordonnier2019relationship,
  title={On the relationship between self-attention and convolutional layers},
  author={Cordonnier, Jean-Baptiste and Loukas, Andreas and Jaggi, Martin},
  journal={arXiv preprint arXiv:1911.03584},
  year={2019}
}

# Method - Data

@book{world1992icd,
  title={The ICD-10 classification of mental and behavioural disorders: clinical descriptions and diagnostic guidelines},
  author={WHO},
  volume={1},
  year={1992},
  publisher={WHO}
}

@article{sudlow2015uk,
  title={UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age},
  author={Sudlow, Cathie and Gallacher, John and Allen, Naomi and Beral, Valerie and Burton, Paul and Danesh, John and Downey, Paul and Elliott, Paul and Green, Jane and Landray, Martin and others},
  journal={PLoS medicine},
  volume={12},
  number={3},
  pages={e1001779},
  year={2015},
  publisher={Public Library of Science}
}

% Related Work
@article{kolk2025prediction,
  title={Prediction of sudden cardiac death using artificial intelligence: Current status and future directions},
  author={Kolk, Maarten ZH and Ruip{\'e}rez-Campillo, Samuel and Wilde, Arthur AM and Knops, Reinoud E and Narayan, Sanjiv M and Tjong, Fleur VY},
  journal={Heart Rhythm},
  volume={22},
  number={3},
  pages={756--766},
  year={2025},
  publisher={Elsevier}
}

% ECG CNN 
@article{barker2024artificial,
  title={Artificial intelligence for ventricular arrhythmia capability using ambulatory electrocardiograms},
  author={Barker, Joseph and Li, Xin and Kotb, Ahmed and Mavilakandy, Akash and Antoun, Ibrahim and Thaitirarot, Chokanan and Koev, Ivelin and Man, Sharon and Schlindwein, Fernando S and Dhutia, Harshil and others},
  journal={European Heart Journal-Digital Health},
  volume={5},
  number={3},
  pages={384--388},
  year={2024},
  publisher={Oxford University Press UK}
}

@article{holmstrom2024ecg,
  title={An ECG-based artificial intelligence model for assessment of sudden cardiac death risk},
  author={Holmstrom, Lauri and Chugh, Harpriya and Nakamura, Kotoka and Bhanji, Ziana and Seifer, Madison and Uy-Evanado, Audrey and Reinier, Kyndaron and Ouyang, David and Chugh, Sumeet S},
  journal={Communications Medicine},
  volume={4},
  number={1},
  pages={17},
  year={2024},
  publisher={Nature Publishing Group UK London}
}

% ECG VAEs 
@article{van2024ecg,
  title={ECG-only explainable deep learning algorithm predicts the risk for malignant ventricular arrhythmia in phospholamban cardiomyopathy},
  author={Van De Leur, Rutger R and De Brouwer, Remco and Bleijendaal, Hidde and Verstraelen, Tom E and Mahmoud, Belend and Perez-Matos, Ana and Dickhoff, Cathelijne and Schoonderwoerd, Bas A and Germans, Tjeerd and Houweling, Arjan and others},
  journal={Heart Rhythm},
  volume={21},
  number={7},
  pages={1102--1112},
  year={2024},
  publisher={Elsevier}
}

@article{kolk2024dynamic,
  title={Dynamic prediction of malignant ventricular arrhythmias using neural networks in patients with an implantable cardioverter-defibrillator},
  author={Kolk, Maarten ZH and Ruip{\'e}rez-Campillo, Samuel and Alvarez-Florez, Laura and Deb, Brototo and Bekkers, Erik J and Allaart, Cornelis P and Van Der Lingen, Anne-Lotte CJ and Clopton, Paul and I{\v{s}}gum, Ivana and Wilde, Arthur AM and others},
  journal={EBioMedicine},
  volume={99},
  year={2024},
  publisher={Elsevier}
}

% MRI VAES 
@article{kolk2024multimodal,
  title={Multimodal explainable artificial intelligence identifies patients with non-ischaemic cardiomyopathy at risk of lethal ventricular arrhythmias},
  author={Kolk, Maarten ZH and Ruip{\'e}rez-Campillo, Samuel and Allaart, Cornelis P and Wilde, Arthur AM and Knops, Reinoud E and Narayan, Sanjiv M and Tjong, Fleur VY and DEEP RISK investigators Raijmakers Femke D. 1 2 Van Der Lingen Anne-Lotte CJ 5 G{\"o}tte Marco JW 5 Selder Jasper L. 5 Alvarez-Florez Laura 6 I{\v{s}}gum Ivana 6 Bekkers Erik J. 7},
  journal={Scientific reports},
  volume={14},
  number={1},
  pages={14889},
  year={2024},
  publisher={Nature Publishing Group UK London}
}

@article{krebs2021cine,
  title={CinE caRdiac magneTic resonAnce to predIct veNTricular arrhYthmia (CERTAINTY)},
  author={Krebs, Julian and Mansi, Tommaso and Delingette, Herv{\'e} and Lou, Bin and Lima, Joao AC and Tao, Susumu and Ciuffo, Luisa A and Norgard, Sanaz and Butcher, Barbara and Lee, Wei H and others},
  journal={Scientific reports},
  volume={11},
  number={1},
  pages={22683},
  year={2021},
  publisher={Nature Publishing Group UK London}
}

% MRI CNNs 
@article{coriano2024deep,
  title={Deep learning-based prediction of major arrhythmic events in dilated cardiomyopathy: A proof of concept study},
  author={Coriano, Mattia and Lanera, Corrado and De Michieli, Laura and Perazzolo Marra, Martina and Iliceto, Sabino and Gregori, Dario and Tona, Francesco},
  journal={Plos one},
  volume={19},
  number={2},
  pages={e0297793},
  year={2024},
  publisher={Public Library of Science San Francisco, CA USA}
}

@article{popescu2022arrhythmic,
  title={Arrhythmic sudden death survival prediction using deep learning analysis of scarring in the heart},
  author={Popescu, Dan M and Shade, Julie K and Lai, Changxin and Aronis, Konstantinos N and Ouyang, David and Moorthy, M Vinayaga and Cook, Nancy R and Lee, Daniel C and Kadish, Alan and Albert, Christine M and others},
  journal={Nature cardiovascular research},
  volume={1},
  number={4},
  pages={334--343},
  year={2022},
  publisher={Nature Publishing Group UK London}
}

% Multi-Modal Models
@article{lai2025multimodal,
  title={Multimodal AI to forecast arrhythmic death in hypertrophic cardiomyopathy},
  author={Lai, Changxin and Yin, Minglang and Kholmovski, Eugene G and Popescu, Dan M and Lu, Dai-Yin and Scherer, Erica and Binka, Edem and Zimmerman, Stefan L and Chrispin, Jonathan and Hays, Allison G and others},
  journal={Nature Cardiovascular Research},
  pages={1--13},
  year={2025},
  publisher={Nature Publishing Group UK London}
}

% MedFuncta 
@article{friedrich2025medfuncta,
  title={MedFuncta: Modality-Agnostic Representations Based on Efficient Neural Fields},
  author={Friedrich, Paul and Bieder, Florentin and Cattin, Philippe C},
  journal={arXiv preprint arXiv:2502.14401},
  year={2025}
}

% EGNNS 

@article{thomas2018tensor,
  title={Tensor field networks: Rotation-and translation-equivariant neural networks for 3d point clouds},
  author={Thomas, Nathaniel and Smidt, Tess and Kearnes, Steven and Yang, Lusann and Li, Li and Kohlhoff, Kai and Riley, Patrick},
  journal={arXiv preprint arXiv:1802.08219},
  year={2018}
}

@article{brandstetter2021geometric,
  title={Geometric and physical quantities improve e (3) equivariant message passing},
  author={Brandstetter, Johannes and Hesselink, Rob and van der Pol, Elise and Bekkers, Erik J and Welling, Max},
  journal={arXiv preprint arXiv:2110.02905},
  year={2021}
}

@inproceedings{satorras2021n,
  title={E (n) equivariant graph neural networks},
  author={Satorras, V{\i}ctor Garcia and Hoogeboom, Emiel and Welling, Max},
  booktitle={International conference on machine learning},
  pages={9323--9332},
  year={2021},
  organization={PMLR}
}

@article{gasteiger2021gemnet,
  title={Gemnet: Universal directional graph neural networks for molecules},
  author={Gasteiger, Johannes and Becker, Florian and G{\"u}nnemann, Stephan},
  journal={Advances in Neural Information Processing Systems},
  volume={34},
  pages={6790--6802},
  year={2021}
}

@inproceedings{eijkelboom2023n,
  title={E $(n) $ Equivariant Message Passing Simplicial Networks},
  author={Eijkelboom, Floor and Hesselink, Rob and Bekkers, Erik J},
  booktitle={International Conference on Machine Learning},
  pages={9071--9081},
  year={2023},
  organization={PMLR}
}

@article{kofinas2024graph,
  title={Graph neural networks for learning equivariant representations of neural networks},
  author={Kofinas, Miltiadis and Knyazev, Boris and Zhang, Yan and Chen, Yunlu and Burghouts, Gertjan J and Gavves, Efstratios and Snoek, Cees GM and Zhang, David W},
  journal={arXiv preprint arXiv:2403.12143},
  year={2024}
}

% Github

@misc{baiGithubUKBB,
  author       = {Wenjia Bai},
  title        = {ukbb\_cardiac: Cardiac MR Image Segmentation for the UK Biobank},
  year         = {2018},
  howpublished = {\url{https://github.com/baiwenjia/ukbb_cardiac}},
  note         = {Accessed: 2025-07-21}
}

% high-pas filter -> notch filter -> Savitzy-Golay filter 
@article{kolk2024multimodal,
  title={Multimodal explainable artificial intelligence identifies patients with non-ischaemic cardiomyopathy at risk of lethal ventricular arrhythmias},
  author={Kolk, Maarten ZH and Ruip{\'e}rez-Campillo, Samuel and Allaart, Cornelis P and Wilde, Arthur AM and Knops, Reinoud E and Narayan, Sanjiv M and Tjong, Fleur VY and DEEP RISK investigators Raijmakers Femke D. 1 2 Van Der Lingen Anne-Lotte CJ 5 G{\"o}tte Marco JW 5 Selder Jasper L. 5 Alvarez-Florez Laura 6 I{\v{s}}gum Ivana 6 Bekkers Erik J. 7},
  journal={Scientific reports},
  volume={14},
  number={1},
  pages={14889},
  year={2024},
  publisher={Nature Publishing Group UK London}
}

@article{kolk2024dynamic,
  title={Dynamic prediction of malignant ventricular arrhythmias using neural networks in patients with an implantable cardioverter-defibrillator},
  author={Kolk, Maarten ZH and Ruip{\'e}rez-Campillo, Samuel and Alvarez-Florez, Laura and Deb, Brototo and Bekkers, Erik J and Allaart, Cornelis P and Van Der Lingen, Anne-Lotte CJ and Clopton, Paul and I{\v{s}}gum, Ivana and Wilde, Arthur AM and others},
  journal={EBioMedicine},
  volume={99},
  year={2024},
  publisher={Elsevier}
}

@article{mcgurk2024genetic,
  title={Genetic and phenotypic architecture of human myocardial trabeculation},
  author={McGurk, Kathryn A and Qiao, Mengyun and Zheng, Sean L and Sau, Arunashis and Henry, Albert and Ribeiro, Antonio Luiz P and Ribeiro, Ant{\^o}nio H and Ng, Fu Siong and Lumbers, R Thomas and Bai, Wenjia and others},
  journal={Nature Cardiovascular Research},
  volume={3},
  number={12},
  pages={1503--1515},
  year={2024},
  publisher={Nature Publishing Group UK London}
}

% Einthoven, Goldberg, Wilson 
@book{khan2008rapid,
  title={Rapid ECG interpretation},
  author={Khan, M Gabriel},
  year={2008},
  publisher={Springer}
}

@article{turgut2025unlocking,
  title={Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic resonance imaging},
  author={Turgut, {\"O}zg{\"u}n and M{\"u}ller, Philip and Hager, Paul and Shit, Suprosanna and Starck, Sophie and Menten, Martin J and Martens, Eimo and Rueckert, Daniel},
  journal={Medical Image Analysis},
  volume={101},
  pages={103451},
  year={2025},
  publisher={Elsevier}
}

% ResNet
@inproceedings{he2016deep,
  title={Deep residual learning for image recognition},
  author={He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={770--778},
  year={2016}
}

% DiT
@inproceedings{peebles2023scalable,
  title={Scalable diffusion models with transformers},
  author={Peebles, William and Xie, Saining},
  booktitle={Proceedings of the IEEE/CVF international conference on computer vision},
  pages={4195--4205},
  year={2023}
}

% EGNN baseline
@inproceedings{satorras2021n,
  title={E (n) equivariant graph neural networks},
  author={Satorras, V{\i}ctor Garcia and Hoogeboom, Emiel and Welling, Max},
  booktitle={International conference on machine learning},
  pages={9323--9332},
  year={2021},
  organization={PMLR}
}

% Sources Femke 
@article{balaban2022left,
  title={Left ventricular shape predicts arrhythmic risk in fibrotic dilated cardiomyopathy},
  author={Balaban, Gabriel and Halliday, Brian P and Hammersley, Daniel and Rinaldi, Christopher A and Prasad, Sanjay K and Bishop, Martin J and Lamata, Pablo},
  journal={EP Europace},
  volume={24},
  number={7},
  pages={1137--1147},
  year={2022},
  publisher={Oxford University Press}
}

















