@inproceedings{rolland_towards_2022,
	title = {Towards efficient fmri data re-use: can we run between-group analyses with datasets processed differently with spm ?},
	booktitle = {{ISBI} 2022 - {IEEE} {International} {Symposium} on {Biomedical} {Imaging}},
	author = {Rolland, Xavier and Maurel, Pierre and Maumet, Camille},
	year = {2022},
	pages = {1--4},
}

@article{sudlow_uk_2015,
	title = {{UK} Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age},
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	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 Liu, Bette and Matthews, Paul and Ong, Giok and Pell, Jill and Silman, Alan and Young, Alan and Sprosen, Tim and Peakman, Tim and Collins, Rory},
	year = {2015},
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@article{gorgolewski_neurovaultorg_2015,
	title = {{NeuroVault}.org: a web-based repository for collecting and sharing unthresholded statistical maps of the human brain},
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	shortjournal = {Front. Neuroinform.},
	author = {Gorgolewski, Krzysztof J. and Varoquaux, Gael and Rivera, Gabriel and Schwarz, Yannick and Ghosh, Satrajit S. and Maumet, Camille and Sochat, Vanessa V. and Nichols, Thomas E. and Poldrack, Russell A. and Poline, Jean-Baptiste and Yarkoni, Tal and Margulies, Daniel S.},
	year = {2015},
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@article{markiewicz_openneuro_2021,
	title = {The {OpenNeuro} resource for sharing of neuroscience data},
	volume = {10},
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	journal = {eLife},
	author = {Markiewicz, Christopher J and Gorgolewski, Krzysztof J and Feingold, Franklin and Blair, Ross and Halchenko, Yaroslav O and Miller, Eric and Hardcastle, Nell and Wexler, Joe and Esteban, Oscar and Goncavles, Mathias and Jwa, Anita and Poldrack, Russell},
	editor = {Kahnt, Thorsten and Baker, Chris I and Dosenbach, Nico and Hawrylycz, Michael J and Svoboda, Karel},
	year = {2021},
	pages = {e71774},
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@Article{	  carp_plurality_2012,
  title		= {On the {Plurality} of ({Methodological}) {Worlds}:
		  {Estimating} the {Analytic} {Flexibility} of {fMRI}
		  {Experiments}},
  volume	= {6},
  issn		= {1662-453X},
  doi = {10.3389/fnins.2012.00149},
  journal	= {Frontiers in Neuroscience},
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}

@Article{	  costafreda_pooling_2009,
  title		= {Pooling {fMRI} {Data}: {Meta}-{Analysis},
		  {Mega}-{Analysis} and {Multi}-{Center} {Studies}},
  volume	= {3},
  issn		= {1662-5196},
  journal	= {Frontiers in Neuroinformatics},
  doi = {10.3389/neuro.11.033.2009},
  author	= {Costafreda, Sergi G.},
  year		= {2009},
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}


@InProceedings{	  ho_denoising_2020,
  title		= {Denoising {Diffusion} {Probabilistic} {Models}},
  volume	= {33},
  booktitle	= {Advances in {Neural} {Information} {Processing}
		  {Systems}},
  publisher	= {Curran Associates, Inc.},
  author	= {Ho, Jonathan and Jain, Ajay and Abbeel, Pieter},
  editor	= {Larochelle, H. and Ranzato, M. and Hadsell, R. and Balcan,
		  M. F. and Lin, H.},
  year		= {2020},
  pages		= {6840--6851}
}


@InProceedings{	  goodfellow_generative_2014,
  title		= {Generative {Adversarial} {Nets}},
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		  {Systems}},
  publisher	= {Curran Associates, Inc.},
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		  and Xu, Bing and Warde-Farley, David and Ozair, Sherjil and
		  Courville, Aaron and Bengio, Yoshua},
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  year		= {2014}
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@inproceedings{lin_conditional_2018,
	title = {Conditional {Image}-to-{Image} {Translation}},
	booktitle = {2018 {IEEE}/{CVF} {Conference} on {Computer} {Vision} and {Pattern} {Recognition}},
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	year = {2018},
	pages = {5524--5532},
}

@inproceedings{zhu_unpaired_2020,
  author       = {Jun{-}Yan Zhu and
                  Taesung Park and
                  Phillip Isola and
                  Alexei A. Efros},
  title        = {Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial
                  Networks},
  booktitle    = {{IEEE} International Conference on Computer Vision, {ICCV}},
  pages        = {2242--2251},
  publisher    = {{IEEE} Computer Society},
  year         = {2017}
}


@inproceedings{liu_unsupervised_2018,
  author       = {Ming{-}Yu Liu and
                  Thomas M. Breuel and
                  Jan Kautz},
  title        = {Unsupervised Image-to-Image Translation Networks},
  booktitle    = {Advances in Neural Information Processing Systems 30 (NIPS)},
  pages        = {700--708},
  year         = {2017}
}


@article{sasaki_unit-ddpm_2021,
	title = {{UNIT}-{DDPM}: {UNpaired} {Image} {Translation} with {Denoising} {Diffusion} {Probabilistic} {Models}},
	shorttitle = {{UNIT}-{DDPM}},
	journal = {arXiv},
	author = {Sasaki, Hiroshi and Willcocks, Chris G. and Breckon, Toby P.},
	year = {2021},
}

@Article{	  pytorch_2019,
  title		= {PyTorch: An Imperative Style, High-Performance Deep
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  author	= {Paszke, Adam and Gross, Sam and Massa, Francisco and
		  Lerer, Adam and Bradbury, James and Chanan, Gregory and
		  Killeen, Trevor and Lin, Zeming and Gimelshein, Natalia and
		  Antiga, Luca and Desmaison, Alban and Kopf, Andreas and
		  Yang, Edward and DeVito, Zachary and Raison, Martin and
		  Tejani, Alykhan and Chilamkurthy, Sasank and Steiner,
		  Benoit and Fang, Lu and Bai, Junjie and Chintala, Soumith},
  booktitle	= {Advances in Neural Information Processing Systems 32},
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  journal	= {Advances in Neural Information Processing Systems 32},
  year		= {2019},
  doi		= {10.48550/arXiv.1912.01703}
}

@misc{germani2024validityfmristudiessubjectlevel,
      title={On the validity of fMRI studies with subject-level data processed through different pipelines}, 
      author={Elodie Germani and Xavier Rolland and Pierre Maurel and Camille Maumet},
      year={2024},
      eprint={2402.12900},
      archivePrefix={arXiv},
      primaryClass={q-bio.NC},
}

@inproceedings{arnold_comparative_2007,
	title = {A {Comparative} {Study} of {Methods} for {Transductive} {Transfer} {Learning}},
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	booktitle = {Seventh {IEEE} {International} {Conference} on {Data} {Mining} {Workshops} ({ICDMW} 2007)},
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	year = {2007},
	pages = {77--82},
}

@article{mirza_conditional_2014,
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	year = {2014},
}

@inproceedings{preechakul_diffusion_2022,
  author       = {Konpat Preechakul and
                  Nattanat Chatthee and
                  Suttisak Wizadwongsa and
                  Supasorn Suwajanakorn},
  title        = {Diffusion Autoencoders: Toward a Meaningful and Decodable Representation},
  booktitle    = {{IEEE/CVF} Conference on Computer Vision and Pattern Recognition,
                  {CVPR}},
  pages        = {10609--10619},
  publisher    = {{IEEE}},
  year         = {2022}
}

@InProceedings{ho_classifier-free_2022,
    author = {Ho, Jonathan and Salimans, Tim},
    title = {Classifier-{Free} {Diffusion} {Guidance}},
    booktitle = {"Deep Generative Models and Downstream Applications" Workshop@NeurIPS'21},
    year      = {2021},
}


@inproceedings{saharia_palette_2022,
  author       = {Chitwan Saharia and
                  William Chan and
                  Huiwen Chang and
                  Chris A. Lee and
                  Jonathan Ho and
                  Tim Salimans and
                  David J. Fleet and
                  Mohammad Norouzi},
  title        = {Palette: Image-to-Image Diffusion Models},
  booktitle    = {{SIGGRAPH} '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference},
  pages        = {15:1--15:10},
  publisher    = {{ACM}},
  year         = {2022}
}


@inproceedings{choi_stargan_2018,
	title = {{StarGAN}: {Unified} {Generative} {Adversarial} {Networks} for {Multi}-domain {Image}-to-{Image} {Translation}},
	publisher = {IEEE},
	booktitle = {2018 {IEEE}/{CVF} {Conference} on {Computer} {Vision} and {Pattern} {Recognition} (CVPR)},
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	year = {2018},
	pages = {8789--8797}
}

@INPROCEEDINGS{isola_image--image_2018, 
author={Isola, Phillip and Zhu, Jun-Yan and Zhou, Tinghui and Efros, Alexei A.}, 
booktitle={2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, 
title={Image-to-Image Translation with Conditional Adversarial Networks}, 
year={2017}, 
pages={5967-5976}} 


@inproceedings{choi_ilvr_2021,
  author       = {Jooyoung Choi and
                  Sungwon Kim and
                  Yonghyun Jeong and
                  Youngjune Gwon and
                  Sungroh Yoon},
  title        = {{ILVR:} Conditioning Method for Denoising Diffusion Probabilistic Models},
  booktitle    = {2021 {IEEE/CVF} International Conference on Computer Vision, {ICCV}},
  pages        = {14347--14356},
  publisher    = {{IEEE}},
  year         = {2021}
}

@inproceedings{nichol_improved_2021,
	title = {Improved {Denoising} {Diffusion} {Probabilistic} {Models}},
	booktitle = {38th {International} {Conference} on {Machine} {Learning}},
	publisher = {PMLR},
	author = {Nichol, Alexander Quinn and Dhariwal, Prafulla},
	year = {2021},
	pages = {8162--8171},
}


@article{li_srdiff_2022,
  title = {{SRDiff}: {Single} image super-resolution with diffusion probabilistic models},
  volume = {479},
  issn = {0925-2312},
  shorttitle = {{SRDiff}},
  doi = {10.1016/j.neucom.2022.01.029},
  journal = {Neurocomputing},
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  pages = {47--59},
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@article{pan_cycle-guided_2023,
	title = {Cycle-guided {Denoising} {Diffusion} {Probability} {Model} for {3D} {Cross}-modality {MRI} {Synthesis}},
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	author = {Pan, Shaoyan and Chang, Chih-Wei and Peng, Junbo and Zhang, Jiahan and Qiu, Richard L. J. and Wang, Tonghe and Roper, Justin and Liu, Tian and Mao, Hui and Yang, Xiaofeng},
	year = {2023},
}

@Article{	  ozbey_unsupervised_2023,
  title		= {Unsupervised {Medical} {Image} {Translation} {With}
		  {Adversarial} {Diffusion} {Models}},
  volume	= {42},
  issn		= {1558-254X},
  number	= {12},
  journal	= {IEEE transactions on medical imaging},
  doi = {10.1109/tmi.2023.3290149},
  author	= {Ozbey, Muzaffer and Dalmaz, Onat and Dar, Salman U H and
		  Bedel, Hasan A and Ozturk, Saban and Gungor, Alper and
		  Cukur, Tolga},
  year		= {2023},
  pmid		= {37379177},
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}

@InProceedings{jiang_cola-diff_2023,
  title = {{CoLa}-{Diff}: {Conditional} {Latent} {Diffusion} {Model} for {Multi}-modal {MRI} {Synthesis}},
  isbn = {978-3-031-43999-5},
  doi = {10.1007/978-3-031-43999-5_38},
  booktitle = {Medical {Image} {Computing} and {Computer} {Assisted} {Intervention} – {MICCAI} 2023},
  publisher = {Springer Nature Switzerland},
  author = {Jiang, Lan and Mao, Ye and Wang, Xiangfeng and Chen, Xi and Li, Chao},
  editor = {Greenspan, Hayit and Madabhushi, Anant and Mousavi, Parvin and Salcudean, Septimiu and Duncan, James and Syeda-Mahmood, Tanveer and Taylor, Russell},
  year = {2023},
  pages = {398--408},
}

@Misc{		  lyu_conversion_2022,
      title={Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models}, 
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      year={2022},
      eprint={2209.12104},
      archivePrefix={arXiv},
      primaryClass={eess.IV}
}


@Article{	  van_essen_wu-minn_2013,
  title		= {The {WU}-{Minn} {Human} {Connectome} {Project}: {An}
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		  Ugurbil, Kamil},
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@InProceedings{	  ronneberger_u-net_2015,
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		  {Image} {Segmentation}},
  isbn		= {978-3-319-24574-4},
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		  {Intervention} – {MICCAI} 2015},
  doi = {10.1007/978-3-319-24574-4_28},
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		  and Frangi, Alejandro F.},
  year		= {2015},
  pages		= {234--241}
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@incollection{macqueen_methods_1967,
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}


@incollection{mucherino_knearest_2009,
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@InProceedings{		  dhariwal_diffusion_2021,
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@InProceedings{cross-zamirski_class-guided_2023,
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    year      = {2023},
    pages     = {3800-3809}
}

@Article{	  botvinik-nezer_variability_2020,
  title		= {Variability in the analysis of a single neuroimaging
		  dataset by many teams},
  volume	= {582},
  issn		= {1476-4687},
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		  Colin F. and Dreber, Anna and Huber, Juergen and
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@inproceedings{rombach_high-resolution_2022,
	title = {High-{Resolution} {Image} {Synthesis} with {Latent} {Diffusion} {Models}},
	isbn = {978-1-66546-946-3},
	booktitle = {2022 {IEEE}/{CVF} {Conference} on {Computer} {Vision} and {Pattern} {Recognition} ({CVPR})},
	publisher = {IEEE},
	author = {Rombach, Robin and Blattmann, Andreas and Lorenz, Dominik and Esser, Patrick and Ommer, Bjorn},
	year = {2022},
	pages = {10674--10685},
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@article{denck_mr-contrast-aware_2021,
	title = {{MR}-contrast-aware image-to-image translations with generative adversarial networks},
	volume = {16},
	issn = {1861-6429},
	number = {12},
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	year = {2021},
	pages = {2069--2078},
}


@Article{	  jin_deep_2019,
  title		= {Deep {CT} to {MR} {Synthesis} {Using} {Paired} and
		  {Unpaired} {Data}},
  volume	= {19},
  issn		= {1424-8220},
  number	= {10},
  journal	= {Sensors},
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  author	= {Jin, Cheng-Bin and Kim, Hakil and Liu, Mingjie and Jung,
		  Wonmo and Joo, Seongsu and Park, Eunsik and Ahn, Young S.
		  and Han, In H. and Lee, Jae I. and Cui, Xuenan},
  year		= {2019}
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@Article{	  dai_multimodal_2020,
  title		= {Multimodal {MRI} {Synthesis} {Using} {Unified}
		  {Generative} {Adversarial} {Networks}},
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  issn		= {0094-2405},
  number	= {12},
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  year		= {2020},
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@inproceedings{salimans_improved_2016,
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	year = {2016},
}


@book{penny_statistical_2011,
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@misc{hcp_dua,
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@incollection{pytorch,
title = {PyTorch: An Imperative Style, High-Performance Deep Learning Library},
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year = {2019},
publisher = {Curran Associates, Inc.},
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@misc{germani_hcp-multi-pipeline_2024,
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      eprint={2312.14493},
      archivePrefix={arXiv},
      primaryClass={q-bio.NC},
      url={https://arxiv.org/abs/2312.14493}, 
}

@article{muller-franzes_multimodal_2023,
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@Article{	  sadraee_fmri_2021,
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  year		= {2021},
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}

@Article{	  button_power_2013,
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@Article{	  poldrack_scanning_2017,
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@article{botvinik-nezer_reproducibility_2023,
	series = {Reliability of {Neurocognitive} {Measures} for {Mental} {Health}},
	title = {Reproducibility in {Neuroimaging} {Analysis}: {Challenges} and {Solutions}},
	volume = {8},
	issn = {2451-9022},
	doi = {10.1016/j.bpsc.2022.12.006},
	number = {8},
	journal = {Biological Psychiatry: Cognitive Neuroscience and Neuroimaging},
	author = {Botvinik-Nezer, Rotem and Wager, Tor D.},
	year = {2023},
	pages = {780--788},
}

@Article{	  ioannidis_why_2005,
  title		= {Why {Most} {Published} {Research} {Findings} {Are}
		  {False}},
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  journal	= {PLoS Medicine},
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  pages		= {e124}
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@article{pinho_individual_2018,
	title = {Individual {Brain} {Charting}, a high-resolution {fMRI} dataset for cognitive mapping},
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	author = {Pinho, Ana Luísa and Amadon, Alexis and Ruest, Torsten and Fabre, Murielle and Dohmatob, Elvis and Denghien, Isabelle and Ginisty, Chantal and Becuwe-Desmidt, Séverine and Roger, Séverine and Laurier, Laurence and Joly-Testault, Véronique and Médiouni-Cloarec, Gaëlle and Doublé, Christine and Martins, Bernadette and Pinel, Philippe and Eger, Evelyn and Varoquaux, Gaël and Pallier, Christophe and Dehaene, Stanislas and Hertz-Pannier, Lucie and Thirion, Bertrand},
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	pages = {180105},
}

@Article{	  poline_data_2012,
  title		= {Data sharing in neuroimaging research},
  volume	= {6},
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  journal	= {Frontiers in Neuroinformatics},
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		  Satrajit S. and Gorgolewski, Krzysztof and Halchenko,
		  Yaroslav O. and Hanke, Michael and Helmer, Karl G. and
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		  Yannick and Ashburner, John and Kennedy, David N.},
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@Article{	  bowring_exploring_2019,
  title		= {Exploring the impact of analysis software on task {fMRI}
		  results},
  volume	= {40},
  issn		= {1097-0193},
  number	= {11},
  journal	= {Human Brain Mapping},
  doi = {10.1002/hbm.24603},
  author	= {Bowring, Alexander and Maumet, Camille and Nichols, Thomas
		  E.},
  year		= {2019},
  pages		= {3362--3384}
}

@Article{	  glatard_reproducibility_2015,
  title		= {Reproducibility of neuroimaging analyses across operating
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  volume	= {9},
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  journal	= {Frontiers in Neuroinformatics},
  author	= {Glatard, Tristan and Lewis, Lindsay B. and Ferreira da
		  Silva, Rafael and Adalat, Reza and Beck, Natacha and
		  Lepage, Claude and Rioux, Pierre and Rousseau, Marc-Etienne
		  and Sherif, Tarek and Deelman, Ewa and Khalili-Mahani,
		  Najmeh and Evans, Alan C.},
  year		= {2015}
}

@Article{bhagwat_understanding_2021,
  title = {Understanding the impact of preprocessing pipelines on neuroimaging cortical surface analyses},
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  issn = {2047-217X},
  doi = {10.1093/gigascience/giaa155},
  number = {1},
  journal = {GigaScience},
  author = {Bhagwat, Nikhil and Barry, Amadou and Dickie, Erin W and Brown, Shawn T and Devenyi, Gabriel A and Hatano, Koji and DuPre, Elizabeth and Dagher, Alain and Chakravarty, Mallar and Greenwood, Celia M T and Misic, Bratislav and Kennedy, David N and Poline, Jean-Baptiste},
  year = {2021},
  pages = {giaa155},
}


@inproceedings{gatys_image_2016,
	title = {Image {Style} {Transfer} {Using} {Convolutional} {Neural} {Networks}},
	doi = {10.1109/CVPR.2016.265},
	booktitle = {2016 {IEEE} {Conference} on {Computer} {Vision} and {Pattern} {Recognition} ({CVPR})},
	author = {Gatys, Leon A. and Ecker, Alexander S. and Bethge, Matthias},
	year = {2016},
	pages = {2414--2423},
}

@Article{	  kaji_overview_2019,
  title		= {Overview of image-to-image translation by use of deep
		  neural networks: denoising, super-resolution, modality
		  conversion, and reconstruction in medical imaging},
  volume	= {12},
  issn		= {1865-0341},
  number	= {3},
  journal	= {Radiological Physics and Technology},
  doi = {10.1007/s12194-019-00520-y},
  author	= {Kaji, Shizuo and Kida, Satoshi},
  year		= {2019},
  pages		= {235--248}
}

@Article{	  armanious_medgan_2020,
  title		= {{MedGAN}: {Medical} image translation using {GANs}},
  volume	= {79},
  issn		= {0895-6111},
  doi = {10.1016/j.compmedimag.2019.101684},
  journal	= {Computerized Medical Imaging and Graphics},
  author	= {Armanious, Karim and Jiang, Chenming and Fischer, Marc and
		  Küstner, Thomas and Hepp, Tobias and Nikolaou, Konstantin
		  and Gatidis, Sergios and Yang, Bin},
  year		= {2020},
  pages		= {101684}
}

@InProceedings{	  kong_breaking_2021,
  title		= {Breaking the Dilemma of Medical Image-to-image
		  Translation},
  author	= {Lingke Kong and Chenyu Lian and Detian Huang and ZhenJiang
		  Li and Yanle Hu and Qichao Zhou},
  booktitle	= {Advances in Neural Information Processing Systems},
  editor	= {A. Beygelzimer and Y. Dauphin and P. Liang and J. Wortman
		  Vaughan},
  year		= {2021}
}

@Article{	  nie_medical_2018,
  title		= {Medical {Image} {Synthesis} with {Deep} {Convolutional}
		  {Adversarial} {Networks}},
  volume	= {65},
  issn		= {1558-2531},
  number	= {12},
  journal	= {IEEE Transactions on Biomedical Engineering},
  doi = {10.1109/TBME.2018.2814538},
  author	= {Nie, Dong and Trullo, Roger and Lian, Jun and Wang, Li and
		  Petitjean, Caroline and Ruan, Su and Wang, Qian and Shen,
		  Dinggang},
  year		= {2018},
  pages		= {2720--2730}
}

@Article{	  qin_style_2022,
  title		= {Style transfer in conditional {GANs} for cross-modality
		  synthesis of brain magnetic resonance images},
  volume	= {148},
  issn		= {0010-4825},
  journal	= {Computers in Biology and Medicine},
  doi = {10.1016/j.compbiomed.2022.105928},
  author	= {Qin, Zhiwei and Liu, Zhao and Zhu, Ping and Ling,
		  Wenyuan},
  year		= {2022},
  pages		= {105928}
}

@InProceedings{	  wolterink_deep_2017,
  address	= {Cham},
  title		= {Deep {MR} to {CT} {Synthesis} {Using} {Unpaired} {Data}},
  isbn		= {978-3-319-68127-6},
  booktitle	= {Simulation and {Synthesis} in {Medical} {Imaging}},
  publisher	= {Springer International Publishing},
  author	= {Wolterink, Jelmer M. and Dinkla, Anna M. and Savenije,
		  Mark H. F. and Seevinck, Peter R. and van den Berg,
		  Cornelis A. T. and Išgum, Ivana},
  editor	= {Tsaftaris, Sotirios A. and Gooya, Ali and Frangi,
		  Alejandro F. and Prince, Jerry L.},
  doi = {10.1007/978-3-319-68127-6_2},
  year		= {2017},
  pages		= {14--23}
}

@Article{	  yang_mri_2020,
  title		= {{MRI} {Cross}-{Modality} {Image}-to-{Image}
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  volume	= {10},
  issn		= {2045-2322},
  number	= {1},
  journal	= {Scientific Reports},
  doi = {10.1038/s41598-020-60520-6},
  author	= {Yang, Qianye and Li, Nannan and Zhao, Zixu and Fan, Xingyu
		  and Chang, Eric I.-Chao and Xu, Yan},
  year		= {2020},
  pages		= {3753}
}

@Article{	  yang_low-dose_2018,
  title		= {Low-{Dose} {CT} {Image} {Denoising} {Using} a {Generative}
		  {Adversarial} {Network} {With} {Wasserstein} {Distance} and
		  {Perceptual} {Loss}},
  volume	= {37},
  issn		= {1558-254X},
  number	= {6},
  journal	= {IEEE Transactions on Medical Imaging},
  doi = {10.1109/TMI.2018.2827462},
  author	= {Yang, Qingsong and Yan, Pingkun and Zhang, Yanbo and Yu,
		  Hengyong and Shi, Yongyi and Mou, Xuanqin and Kalra,
		  Mannudeep K. and Zhang, Yi and Sun, Ling and Wang, Ge},
  year		= {2018},
  pages		= {1348--1357}
}

@Article{	  wolterink_generative_2017,
  title		= {Generative {Adversarial} {Networks} for {Noise}
		  {Reduction} in {Low}-{Dose} {CT}},
  volume	= {36},
  issn		= {1558-254X},
  number	= {12},
  journal	= {IEEE Transactions on Medical Imaging},
  doi = {10.1109/TMI.2017.2708987},
  author	= {Wolterink, Jelmer M. and Leiner, Tim and Viergever, Max A.
		  and Išgum, Ivana},
  year		= {2017},
  pages		= {2536--2545}
}

@Article{	  bashyam_deep_2022,
  title		= {Deep {Generative} {Medical} {Image} {Harmonization} for
		  {Improving} {Cross}-{Site} {Generalization} in {Deep}
		  {Learning} {Predictors}},
  volume	= {55},
  issn		= {1522-2586},
  number	= {3},
  doi = {10.1002/jmri.27908},
  journal	= {Journal of Magnetic Resonance Imaging},
  author	= {Bashyam, Vishnu M. and Doshi, Jimit and Erus, Guray and
		  Srinivasan, Dhivya and Abdulkadir, Ahmed and Singh, Ashish
		  and Habes, Mohamad and Fan, Yong and Masters, Colin L. and
		  Maruff, Paul and Zhuo, Chuanjun and Völzke, Henry and
		  Johnson, Sterling C. and Fripp, Jurgen and Koutsouleris,
		  Nikolaos and Satterthwaite, Theodore D. and Wolf, Daniel H.
		  and Gur, Raquel E. and Gur, Ruben C. and Morris, John C.
		  and Albert, Marilyn S. and Grabe, Hans J. and Resnick,
		  Susan M. and Bryan, Nick R. and Wittfeld, Katharina and
		  Bülow, Robin and Wolk, David A. and Shou, Haochang and
		  Nasrallah, Ilya M. and Davatzikos, Christos and {The
		  iSTAGING and PHENOM consortia}},
  year		= {2022},
  pages		= {908--916}
}

@InProceedings{	  liu_style_2021,
  address	= {Cham},
  title		= {Style {Transfer} {Using} {Generative} {Adversarial}
		  {Networks} for {Multi}-site {MRI} {Harmonization}},
  isbn		= {978-3-030-87199-4},
  booktitle	= {Medical {Image} {Computing} and {Computer} {Assisted}
		  {Intervention} – {MICCAI} 2021},
  publisher	= {Springer International Publishing},
  doi = {10.1007/978-3-030-87199-4_30},
  author	= {Liu, Mengting and Maiti, Piyush and Thomopoulos, Sophia
		  and Zhu, Alyssa and Chai, Yaqiong and Kim, Hosung and
		  Jahanshad, Neda},
  editor	= {de Bruijne, Marleen and Cattin, Philippe C. and Cotin,
		  Stéphane and Padoy, Nicolas and Speidel, Stefanie and
		  Zheng, Yefeng and Essert, Caroline},
  year		= {2021},
  pages		= {313--322}
}

@InProceedings{	  shaban_staingan_2019,
  title		= {Staingan: {Stain} {Style} {Transfer} for {Digital}
		  {Histological} {Images}},
  booktitle	= {2019 {IEEE} 16th {International} {Symposium} on
		  {Biomedical} {Imaging} ({ISBI} 2019)},
      doi = {10.1109/ISBI.2019.8759152},
  author	= {Shaban, M. Tarek and Baur, Christoph and Navab, Nassir and
		  Albarqouni, Shadi},
  year		= {2019},
  pages		= {953--956}
}

@Article{	  dorjsembe_conditional_2024,
  title		= {Conditional {Diffusion} {Models} for {Semantic} {3D}
		  {Brain} {MRI} {Synthesis}},
  issn		= {2168-2208},
  journal	= {IEEE Journal of Biomedical and Health Informatics},
  doi = {10.1109/JBHI.2024.3385504},
  author	= {Dorjsembe, Zolnamar and Pao, Hsing-Kuo and Odonchimed,
		  Sodtavilan and Xiao, Furen},
  year		= {2024},
  pages		= {1--10}
}

@misc{blog-spm,
	title = {{SPM} plot units},
	url = {https://web.archive.org/web/20230606094719/https://blog.nisox.org/2012/07/31/spm-plot-units},
    author = {Nichols, Thomas},
	urldate = {2012},
	journal = {NISOx},
	year = {2012},
}

@Misc{		  public-neuro,
  author = {Neurobiology Research Unit at Rigshopitalet},
  title		= {Public {nEUro}},
  url		= {https://public-neuro.github.io/index.html},
  urldate	= {2023-12-20},
  year={2023}
}

@misc{code_SH,
  title = {Software Heritage archive for the GitHub repository "style\_transfer\_diffusion"},
  author = {Germani, Elodie and Maumet, Camille and Fromont, Elisa},
  year = {2024}, 
  url = {https://archive.softwareheritage.org/swh:1:snp:b0b52aa88bef8f4411bdd7e00a2d71715d7830bb;origin=https://github.com/elodiegermani/style-transfer_diffusion}}

@misc{germani_2024_13748563,
  author       = {Germani, Elodie and
                  Maumet, Camille and
                  Fromont, Elisa},
  title        = {{Mitigating analytical variability in fMRI with 
                   style transfer - Supplementary Materials}},
  month        = sep,
  year         = 2024,
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.13748563},
  url          = {https://doi.org/10.5281/zenodo.13748563}
}

@misc{germani:hal-04331232,
  TITLE = {{Uncovering communities of pipelines in the task-fMRI analytical space}},
  AUTHOR = {Germani, Elodie and Fromont, Elisa and Maumet, Camille},
  URL = {https://hal.science/hal-04331232},
  NOTE = {Accepted at the 2024 IEEE International Conference on Image Processing.},
  YEAR = {2024},
}