
@article{chen2021nerv,
  title={Nerv: Neural representations for videos},
  author={Chen, Hao and He, Bo and Wang, Hanyu and Ren, Yixuan and Lim, Ser Nam and Shrivastava, Abhinav},
  journal={Advances in Neural Information Processing Systems},
  volume={34},
  pages={21557--21568},
  year={2021}
}
@inproceedings{kim2023mixup,
  title={Mixup-Privacy: A simple yet effective approach for privacy-preserving segmentation},
  author={Kim, Bach Ngoc and Dolz, Jose and Jodoin, Pierre-Marc and Desrosiers, Christian},
  booktitle={International Conference on Information Processing in Medical Imaging},
  pages={717--729},
  year={2023},
  organization={Springer}
}
@article{kaissis2021end,
  title={End-to-end privacy preserving deep learning on multi-institutional medical imaging},
  author={Kaissis, Georgios and Ziller, Alexander and Passerat-Palmbach, Jonathan and Ryffel, Th{\'e}o and Usynin, Dmitrii and Trask, Andrew and Lima Jr, Ion{\'e}sio and Mancuso, Jason and Jungmann, Friederike and Steinborn, Marc-Matthias and others},
  journal={Nature Machine Intelligence},
  volume={3},
  number={6},
  pages={473--484},
  year={2021},
  publisher={Nature Publishing Group UK London}
}
@inproceedings{brioso2023semi,
  title={Semi-supervised multi-structure segmentation in chest X-ray imaging},
  author={Brioso, Ricardo Coimbra and Pedrosa, Jo{\~a}o and Mendon{\c{c}}a, Ana Maria and Campilho, Aur{\'e}lio},
  booktitle={2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS)},
  pages={814--820},
  year={2023},
  organization={IEEE}
}
@inproceedings{kim2021privacyBMVC,
  title={Privacy Preserving for Medical Image Analysis via Non-Linear Deformation Proxy},
  author={Kim, Bach Ngoc and Dolz, Jose and Desrosiers, Christian and Jodoin, Pierre-Marc},
    booktitle={British Machine Vision Conference},
  year={2021}
}
@article{roldan2015central,
  title={Central venous catheter intravascular malpositioning: causes, prevention, diagnosis, and correction},
  author={Roldan, Carlos J and Paniagua, Linda},
  journal={West J Emerg Med},
  volume={16},
  number={5},
  pages={658},
  year={2015},
  publisher={California Chapter of the American Academy of Emergency Medicine (Cal/AAEM)}
}
@inproceedings{packhauser2023generation,
  title={Generation of anonymous chest radiographs using latent diffusion models for training thoracic abnormality classification systems},
  author={Packh{\"a}user, Kai and Folle, Lukas and Thamm, Florian and Maier, Andreas},
  booktitle={2023 ISBI},
  pages={1--5},
  year={2023},
  organization={IEEE}
}
@inproceedings{myronenko20193d,
  title={3D MRI brain tumor segmentation using autoencoder regularization},
  author={Myronenko, Andriy},
  booktitle={2018, at MICCAI 2018, Granada, Spain, 2018},
  pages={311--320},
  year={2019},
  organization={Springer}
}
@article{sitzmann2020implicit,
  title={Implicit neural representations with periodic activation functions},
  author={Sitzmann, Vincent and Martel, Julien and Bergman, Alexander and Lindell, David and Wetzstein, Gordon},
  journal={Advances in neural information processing systems},
  volume={33},
  pages={7462--7473},
  year={2020}
}
@article{woods1998automated,
  title={Automated image registration: I. General methods and intrasubject, intramodality validation},
  author={Woods, Roger P and Grafton, Scott T and Holmes, Colin J and Cherry, Simon R and Mazziotta, John C},
  journal={Journal of computer assisted tomography},
  volume={22},
  number={1},
  pages={139--152},
  year={1998},
  publisher={LWW}
}
@inproceedings{kim2023generalizable,
  title={Generalizable Implicit Neural Representations via Instance Pattern Composers},
  author={Kim, Chiheon and Lee, Doyup and Kim, Saehoon and Cho, Minsu and Han, Wook-Shin},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year={2023}
}
@inproceedings{hansen2021radiographic,
  title={Radiographic Assessment of CVC Malpositioning: How can AI best support clinicians?},
  author={Hansen, Lasse and Sieren, Malte and Hobe, Malte and Saalbach, Axel and Schulz, Heinrich and Barkhausen, J{\"o}rg and Heinrich, Mattias P},
  booktitle={Medical Imaging with Deep Learning},
  year={2021}
}
@inproceedings{wolterink2022implicit,
  title={Implicit neural representations for deformable image registration},
  author={Wolterink, Jelmer M and Zwienenberg, Jesse C and Brune, Christoph},
  booktitle={International Conference on Medical Imaging with Deep Learning},
  pages={1349--1359},
  year={2022},
  organization={PMLR}
}
@inproceedings{lin2021barf,
  title={Barf: Bundle-adjusting neural radiance fields},
  author={Lin, Chen-Hsuan and Ma, Wei-Chiu and Torralba, Antonio and Lucey, Simon},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={5741--5751},
  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{kaissis2020secure,
  title={Secure, privacy-preserving and federated machine learning in medical imaging},
  author={Kaissis, Georgios A and Makowski, Marcus R and R{\"u}ckert, Daniel and Braren, Rickmer F},
  journal={Nature Machine Intelligence},
  volume={2},
  number={6},
  pages={305--311},
  year={2020},
  publisher={Nature Publishing Group UK London}
}

@article{schockel2020developments,
  title={Developments in X-ray contrast media and the potential impact on computed tomography},
  author={Sch{\"o}ckel, Laura and Jost, Gregor and Seidensticker, Peter and Lengsfeld, Philipp and Palkowitsch, Petra and Pietsch, Hubertus},
  journal={Investigative Radiology},
  volume={55},
  number={9},
  pages={592--597},
  year={2020},
  publisher={LWW}
}

@inproceedings{strumpler2022implicit,
  title={Implicit neural representations for image compression},
  author={Str{\"u}mpler, Yannick and Postels, Janis and Yang, Ren and Gool, Luc Van and Tombari, Federico},
  booktitle={European Conference on Computer Vision},
  pages={74--91},
  year={2022},
  organization={Springer}
}
@article{newton2005preserving,
  title={Preserving privacy by de-identifying face images},
  author={Newton, Elaine M and Sweeney, Latanya and Malin, Bradley},
  journal={IEEE transactions on Knowledge and Data Engineering},
  volume={17},
  number={2},
  pages={232--243},
  year={2005},
  publisher={IEEE}
}
@article{mostert2016big,
  title={Big Data in medical research and EU data protection law: challenges to the consent or anonymise approach},
  author={Mostert, Menno and Bredenoord, Annelien L and Biesaart, Monique CIH and Van Delden, Johannes JM},
  journal={	Eur. J. Hum. Genet.},
  volume={24},
  number={7},
  pages={956--960},
  year={2016},
  publisher={Nature Publishing Group}
}
@article{meden2018k,
  title={k-Same-Net: k-Anonymity with generative deep neural networks for face deidentification},
  author={Meden, Bla{\v{z}} and Emer{\v{s}}i{\v{c}}, {\v{Z}}iga and {\v{S}}truc, Vitomir and Peer, Peter},
  journal={Entropy},
  volume={20},
  number={1},
  pages={60},
  year={2018},
  publisher={MDPI}
}
@article{el2021large,
  title={Are large-scale datasets necessary for self-supervised pre-training?},
  author={El-Nouby, Alaaeldin and Izacard, Gautier and Touvron, Hugo and Laptev, Ivan and Jegou, Herv{\'e} and Grave, Edouard},
  journal={arXiv preprint arXiv:2112.10740},
  year={2021}
}
@article{jordon2022synthetic,
  title={Synthetic Data--what, why and how?},
  author={Jordon, James and Szpruch, Lukasz and Houssiau, Florimond and Bottarelli, Mirko and Cherubin, Giovanni and Maple, Carsten and Cohen, Samuel N and Weller, Adrian},
  journal={arXiv preprint arXiv:2205.03257},
  year={2022}
}
@inproceedings{packhauser2023deep,
  title={Deep Learning-Based Anonymization of Chest Radiographs: A Utility-Preserving Measure for Patient Privacy},
  author={Packh{\"a}user, Kai and G{\"u}ndel, Sebastian and Thamm, Florian and Denzinger, Felix and Maier, Andreas},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={262--272},
  year={2023},
  organization={Springer}
}
@article{packhauser2022deep,
  title={Deep learning-based patient re-identification is able to exploit the biometric nature of medical chest X-ray data},
  author={Packh{\"a}user, Kai and G{\"u}ndel, Sebastian and M{\"u}nster, Nicolas and Syben, Christopher and Christlein, Vincent and Maier, Andreas},
  journal={Scientific Reports},
  volume={12},
  number={1},
  pages={14851},
  year={2022},
  publisher={Nature Publishing Group UK London}
}
@article{rieke2020future,
  title={The future of digital health with federated learning},
  author={Rieke, Nicola and Hancox, Jonny and Li, Wenqi and Milletari, Fausto and Roth, Holger R and Albarqouni, Shadi and Bakas, Spyridon and Galtier, Mathieu N and Landman, Bennett A and Maier-Hein, Klaus and others},
  journal={NPJ digital medicine},
  volume={3},
  number={1},
  pages={119},
  year={2020},
  publisher={Nature Publishing Group UK London}
}

@article{oord2018representation,
  title={Representation learning with contrastive predictive coding},
  author={Oord, Aaron van den and Li, Yazhe and Vinyals, Oriol},
  journal={arXiv preprint arXiv:1807.03748},
  year={2018}
}
@inproceedings{taigman2014deepface,
  title={Deepface: Closing the gap to human-level performance in face verification},
  author={Taigman, Yaniv and Yang, Ming and Ranzato, Marc'Aurelio and Wolf, Lior},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={1701--1708},
  year={2014}
}
@inproceedings{wu2018towards,
  title={Towards privacy-preserving visual recognition via adversarial training: A pilot study},
  author={Wu, Zhenyu and Wang, Zhangyang and Wang, Zhaowen and Jin, Hailin},
  booktitle={Proceedings of the European conference on computer vision (ECCV)},
  pages={606--624},
  year={2018}
}
@inproceedings{fan2018image,
  title={Image pixelization with differential privacy},
  author={Fan, Liyue},
  booktitle={Data and Applications Security and Privacy XXXII: 32nd Annual IFIP WG 11.3 Conference, DBSec 2018, Bergamo, Italy, July 16--18, 2018, Proceedings 32},
  pages={148--162},
  year={2018},
  organization={Springer}
}
@inproceedings{zhu2020deepfakes,
  title={Deepfakes for medical video de-identification: Privacy protection and diagnostic information preservation},
  author={Zhu, Bingquan and Fang, Hao and Sui, Yanan and Li, Luming},
  booktitle={Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society},
  pages={414--420},
  year={2020}
}
@inproceedings{dall2022graph,
  title={Graph-based generative face anonymisation with pose preservation},
  author={Dall’Asen, Nicola and Wang, Yiming and Tang, Hao and Zanella, Luca and Ricci, Elisa},
  booktitle={International Conference on Image Analysis and Processing},
  pages={503--515},
  year={2022},
  organization={Springer}
}
@inproceedings{mclaughlin2016recurrent,
  title={Recurrent convolutional network for video-based person re-identification},
  author={McLaughlin, Niall and Del Rincon, Jesus Martinez and Miller, Paul},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={1325--1334},
  year={2016}
}

@article{yala2022syfer,
  title={Syfer: Neural obfuscation for private data release},
  author={Yala, Adam and Quach, Victor and Esfahanizadeh, Homa and D'Oliveira, Rafael GL and Duffy, Ken R and M{\'e}dard, Muriel and Jaakkola, Tommi S and Barzilay, Regina},
  journal={arXiv preprint arXiv:2201.12406},
  year={2022}
}
@article{kim2021privacy,
  title={Privacy-net: An adversarial approach for identity-obfuscated segmentation of medical images},
  author={Kim, Bach Ngoc and Dolz, Jose and Jodoin, Pierre-Marc and Desrosiers, Christian},
  journal={IEEE Transactions on Medical Imaging},
  volume={40},
  number={7},
  pages={1737--1749},
  year={2021},
  publisher={IEEE}
}