@inproceedings{perez2018film,
  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},
  url={https://arxiv.org/pdf/1709.07871.pdf}
}
@misc{vincent2020automatic,
      title={Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across {MRI} contrasts?}, 
      author={Olivier Vincent and Charley Gros and Joseph Paul Cohen and Julien Cohen-Adad},
      year={2020},
      eprint={2003.04377},
      archivePrefix={arXiv},
      primaryClass={eess.IV},
      url={https://arxiv.org/pdf/2003.04377.pdf}
}
@inproceedings{dumoulin2017learned,
      title={A Learned Representation For Artistic Style}, 
      author={Vincent Dumoulin and Jonathon Shlens and Manjunath Kudlur},
      year={2017},
      eprint={1610.07629},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      booktitle={International Conference on Learning Representations (ICLR)},
      url={https://arxiv.org/pdf/1610.07629.pdf}
}
@inproceedings{devries2017modulating,
  author={Harm de Vries and Florian Strub and Jérémie Mary and Hugo Larochelle and Olivier Pietquin and Aaron C. Courville},
  title={Modulating early visual processing by language},
  year={2017},
  cdate={1483228800000},
  pages={6597-6607},
  url={http://papers.nips.cc/paper/7237-modulating-early-visual-processing-by-language},
  booktitle={Neural Information Processing Systems (NIPS)}
}
@inproceedings{kim2017dynamic,
      title={Dynamic Layer Normalization for Adaptive Neural Acoustic Modeling in Speech Recognition}, 
      author={Taesup Kim and Inchul Song and Yoshua Bengio},
      year={2017},
      eprint={1707.06065},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/pdf/1707.06065.pdf},
      booktitle={InterSpeech}
}
@article{li2018adaptive,
  title={Adaptive batch normalization for practical domain adaptation},
  author={Li, Yanghao and Wang, Naiyan and Shi, Jianping and Hou, Xiaodi and Liu, Jiaying},
  journal={Pattern Recognition},
  volume={80},
  pages={109--117},
  year={2018},
  publisher={Elsevier},
  url = "https://doi.org/10.1016/j.patcog.2018.03.005",
}
@article{oreshkin2018tadam,
  title={Tadam: Task dependent adaptive metric for improved few-shot learning},
  author={Oreshkin, Boris N and Rodriguez, Pau and Lacoste, Alexandre},
  journal={arXiv preprint arXiv:1805.10123},
  booktitle={Neural Information Processing Systems (NeurIPS)},
  year={2018},
  url={https://arxiv.org/pdf/1805.10123.pdf}
}
@misc{lemay2021multiclass,
      title={Multiclass Spinal Cord Tumor Segmentation on MRI with Deep Learning}, 
      author={Andreanne Lemay and Charley Gros and Zhizheng Zhuo and Jie Zhang and Yunyun Duan and Julien Cohen-Adad and Yaou Liu},
      year={2021},
      eprint={2012.12820},
      archivePrefix={arXiv},
      primaryClass={eess.IV},
      url={https://arxiv.org/pdf/2012.12820.pdf}
}
@article{baleriaux1999spinal,
  title={Spinal cord tumors},
  author={Baleriaux, Danielle},
  journal={European radiology},
  volume={9},
  number={7},
  pages={1252--1258},
  year={1999},
  publisher={Springer},
  url={https://doi.org/10.1007/s003300050831}
}
@article{kim2014differentiation,
  title={Differentiation between intramedullary spinal ependymoma and astrocytoma: comparative MRI analysis},
  author={Kim, DH and Kim, J-H and Choi, Seung Hong and Sohn, C-H and Yun, Tae Jin and Kim, Chi Heon and Chang, K-H},
  journal={Clinical radiology},
  volume={69},
  number={1},
  pages={29--35},
  year={2014},
  publisher={Elsevier},
  url={https://doi.org/10.1016/j.crad.2013.07.017}
}
@article{simpson2019large,
  title={A large annotated medical image dataset for the development and evaluation of segmentation algorithms},
  author={Simpson, Amber L and Antonelli, Michela and Bakas, Spyridon and Bilello, Michel and Farahani, Keyvan and Van Ginneken, Bram and Kopp-Schneider, Annette and Landman, Bennett A and Litjens, Geert and Menze, Bjoern and others},
  journal={arXiv preprint arXiv:1902.09063},
  year={2019},
  url={https://arxiv.org/pdf/1902.09063.pdf}
}
@article{heller2019kits19,
  title={The kits19 challenge data: 300 kidney tumor cases with clinical context, ct semantic segmentations, and surgical outcomes},
  author={Heller, Nicholas and Sathianathen, Niranjan and Kalapara, Arveen and Walczak, Edward and Moore, Keenan and Kaluzniak, Heather and Rosenberg, Joel and Blake, Paul and Rengel, Zachary and Oestreich, Makinna and others},
  journal={arXiv preprint arXiv:1904.00445},
  year={2019},
  url={https://arxiv.org/pdf/1904.00445.pdf}
}
@article{baker2000mr,
  title={MR imaging of spinal hemangioblastoma},
  author={Baker, Kim B and Moran, Christopher J and Wippold, Franz J and Smirniotopoulos, James G and Rodriguez, Fabio J and Meyers, Steven P and Siegal, Todd L},
  journal={American Journal of Roentgenology},
  volume={174},
  number={2},
  pages={377--382},
  year={2000},
  publisher={Am Roentgen Ray Soc},
  url={https://www.ajronline.org/doi/full/10.2214/ajr.174.2.1740377}
}
@article{minaee2020image,
  title={Image segmentation using deep learning: A survey},
  author={Minaee, Shervin and Boykov, Yuri and Porikli, Fatih and Plaza, Antonio and Kehtarnavaz, Nasser and Terzopoulos, Demetri},
  journal={arXiv preprint arXiv:2001.05566},
  year={2020},
  url={https://arxiv.org/pdf/2001.05566.pdf}
}
@inproceedings{zhou2019prior,
  title={Prior-aware neural network for partially-supervised multi-organ segmentation},
  author={Zhou, Yuyin and Li, Zhe and Bai, Song and Wang, Chong and Chen, Xinlei and Han, Mei and Fishman, Elliot and Yuille, Alan L},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={10672--10681},
  year={2019},
  url={https://arxiv.org/pdf/1904.06346.pdf}
}
@inproceedings{ronneberger2015unet,
      title={U-Net: Convolutional Networks for Biomedical Image Segmentation}, 
      author={Olaf Ronneberger and Philipp Fischer and Thomas Brox},
      year={2015},
      eprint={1505.04597},
      archivePrefix={arXiv},
      booktitle={Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015},
      primaryClass={cs.CV},
      publisher={Springer International Publishing},
      pages={234--241},
      url={https://doi.org/10.1007/978-3-319-24574-4_28}
}
@article{renard2020variability,
  title={Variability and reproducibility in deep learning for medical image segmentation},
  author={Renard, F{\'e}lix and Guedria, Soulaimane and De Palma, Noel and Vuillerme, Nicolas},
  journal={Scientific Reports},
  volume={10},
  number={1},
  pages={1--16},
  year={2020},
  publisher={Nature Publishing Group},
  url={https://doi.org/10.1038/s41598-020-69920-0}
}
@article{Gros2021,
  url = {https://doi.org/10.21105/joss.02868},
  year = {2021},
  publisher = {The Open Journal},
  volume = {6},
  number = {58},
  pages = {2868},
  author = {Charley Gros and Andreanne Lemay and Olivier Vincent and Lucas Rouhier and Marie-Helene Bourget and Anthime Bucquet and Joseph Paul Cohen and Julien Cohen-Adad},
  title = {ivadomed: A Medical Imaging Deep Learning Toolbox},
  journal = {Journal of Open Source Software}
}
@article{isensee2019automated,
  title={Automated design of deep learning methods for biomedical image segmentation},
  author={Isensee, Fabian and J{\"a}ger, Paul F and Kohl, Simon AA and Petersen, Jens and Maier-Hein, Klaus H},
  journal={arXiv preprint arXiv:1904.08128},
  year={2019},
  url={https://arxiv.org/pdf/1904.08128.pdf}
}
@misc{ahmed2020medical,
  title={Medical Image Segmentation using Attention-Based Deep Neural Networks},
  author={Ahmed, Mohamed},
  year={2020},
  url={https://www.diva-portal.org/smash/get/diva2:1477227/FULLTEXT01.pdf}
}
@inproceedings{bhalgat2018annotation,
  title={Annotation-cost minimization for medical image segmentation using suggestive mixed supervision fully convolutional networks},
  author={Bhalgat, Yash and Shah, Meet and Awate, Suyash},
  journal={arXiv preprint arXiv:1812.11302},
  year={2018},
  url={https://arxiv.org/pdf/1812.11302.pdf},
  booktitle={Neural Information Processing Systems (NeurIPS)}
}
@article{ciga2021learning,
  title={Learning to segment images with classification labels},
  author={Ciga, Ozan and Martel, Anne L},
  journal={Medical Image Analysis},
  volume={68},
  pages={101912},
  year={2021},
  publisher={Elsevier},
  url={https://doi.org/10.1016/j.media.2020.101912}
}
@InProceedings{chartsias2020multimodal,
author="Chartsias, Agisilaos and Papanastasiou, Giorgos and Wang, Chengjia and Stirrat, Colin and Semple, Scott and Newby, David and Dharmakumar, Rohan and Tsaftaris, Sotirios A.",
title="Multimodal Cardiac Segmentation Using Disentangled Representation Learning",
booktitle="Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges",
year="2020",
publisher="Springer International Publishing",
address="Cham",
pages="128--137",
isbn="978-3-030-39074-7"
}
@ARTICLE{rebsamen2019divide,
AUTHOR={Rebsamen, Michael and Knecht, Urspeter and Reyes, Mauricio and Wiest, Roland and Meier, Raphael and McKinley, Richard},
TITLE={Divide and Conquer: Stratifying Training Data by Tumor Grade Improves Deep Learning-Based Brain Tumor Segmentation},
JOURNAL={Frontiers in Neuroscience},      
VOLUME={13},      
PAGES={1182},     
YEAR={2019},      
URL={https://www.frontiersin.org/article/10.3389/fnins.2019.01182},       
DOI={10.3389/fnins.2019.01182},      
ISSN={1662-453X}
}
@article{isensee2018nnu,
  title={nnu-net: Self-adapting framework for u-net-based medical image segmentation},
  author={Isensee, Fabian and Petersen, Jens and Klein, Andre and Zimmerer, David and Jaeger, Paul F and Kohl, Simon and Wasserthal, Jakob and Koehler, Gregor and Norajitra, Tobias and Wirkert, Sebastian and others},
  journal={arXiv preprint arXiv:1809.10486},
  year={2018}
}
@article{lemay2021benefits,
  title={Benefits of Linear Conditioning for Segmentation using Metadata},
  author={Lemay, Andreanne and Gros, Charley and Vincent, Olivier and Liu, Yaou and Cohen, Joseph Paul and Cohen-Adad, Julien},
  journal={arXiv preprint arXiv:2102.09582},
  year={2021}
}
@article{jacenkow2019conditioning,
  title={Conditioning convolutional segmentation architectures with non-imaging data},
  author={Jacenk{\'o}w, Grzegorz and Chartsias, Agisilaos and Mohr, Brian and Tsaftaris, Sotirios A},
  journal={arXiv preprint arXiv:1907.12330},
  year={2019}
}
@inproceedings{jacenkow2020inside,
  title={INSIDE: Steering Spatial Attention with Non-imaging Information in CNNs},
  author={Jacenk{\'o}w, Grzegorz and O’Neil, Alison Q and Mohr, Brian and Tsaftaris, Sotirios A},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={385--395},
  year={2020},
  organization={Springer}
}