@article{BMGAN,
  title={Bidirectional mapping generative adversarial networks for brain MR to PET synthesis},
  author={Hu, Shengye and Lei, Baiying and Wang, Shuqiang and Wang, Yong and Feng, Zhiguang and Shen, Yanyan},
  journal={IEEE Transactions on Medical Imaging},
  volume={41},
  number={1},
  pages={145--157},
  year={2021},
  publisher={IEEE}
}

@article{GANbert,
  title={Ganbert: Generative adversarial networks with bidirectional encoder representations from transformers for mri to pet synthesis},
  author={Shin, Hoo-Chang and Ihsani, Alvin and Mandava, Swetha and Sreenivas, Sharath Turuvekere and Forster, Christopher and Cha, Jiook and Initiative, Alzheimer's Disease Neuroimaging},
  journal={arXiv preprint arXiv:2008.04393},
  year={2020}
}

@inproceedings{pet_ct,
  title={Mapping in cycles: Dual-domain pet-ct synthesis framework with cycle-consistent constraints},
  author={Zhang, Jiadong and Cui, Zhiming and Jiang, Caiwen and Zhang, Jingyang and Gao, Fei and Shen, Dinggang},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={758--767},
  year={2022},
  organization={Springer}
}

@article{diffusion_PET1,
  title={PET image denoising based on denoising diffusion probabilistic model},
  author={Gong, Kuang and Johnson, Keith and El Fakhri, Georges and Li, Quanzheng and Pan, Tinsu},
  journal={European Journal of Nuclear Medicine and Molecular Imaging},
  volume={51},
  number={2},
  pages={358--368},
  year={2024},
  publisher={Springer}
}

@inproceedings{diffusion_PET2,
  title={Synthesizing A$\beta$-Pet Via An Image And Label Conditioning Latent Diffusion Model For Detecting Amyloid Status},
  author={Ou, Zaixin and Pan, Yongsheng and Li, Yuanning and Xie, Fang and Guo, Qihao and Shen, Dinggang},
  booktitle={ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  pages={6610--6614},
  year={2024},
  organization={IEEE}
}

@inproceedings{low_to_high1,
  title={Full-dose PET synthesis from low-dose PET using 2D high efficiency denoising diffusion probabilistic model},
  author={Pan, Shaoyan and Abouei, Elham and Peng, Junbo and Qian, Joshua and Wynne, Jacob F and Wang, Tonghe and Chang, Chih-Wei and Roper, Justin and Nye, Jonathon A and Mao, Hui and others},
  booktitle={Medical Imaging 2024: Clinical and Biomedical Imaging},
  volume={12930},
  pages={428--435},
  year={2024},
  organization={SPIE}
}

@article{low_to_high2,
  title={Bidirectional Condition Diffusion Probabilistic Models for PET Image Denoising},
  author={Shen, Chenyu and Tie, Changjun and Yang, Ziyuan and Zhang, Na and Zhang, Yi},
  journal={IEEE Transactions on Radiation and Plasma Medical Sciences},
  year={2024},
  publisher={IEEE}
}

@inproceedings{low_to_high3,
  title={Low dose brain PET imaging using denoising diffusion probabilistic models},
  author={Sanaat, Amirhossein and Najafgholizadeh, Amin and Mazandarani, Hamid Reza and Zaidi, Habib},
  booktitle={2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)},
  pages={1--3},
  year={2022},
  organization={IEEE}
}

@article{GAN,
  title={Generative adversarial networks},
  author={Goodfellow, Ian and Pouget-Abadie, Jean and Mirza, Mehdi and Xu, Bing and Warde-Farley, David and Ozair, Sherjil and Courville, Aaron and Bengio, Yoshua},
  journal={Communications of the ACM},
  volume={63},
  number={11},
  pages={139--144},
  year={2020},
  publisher={ACM New York, NY, USA}
}

@inproceedings{unet,
  title={U-net: Convolutional networks for biomedical image segmentation},
  author={Ronneberger, Olaf and Fischer, Philipp and Brox, Thomas},
  booktitle={Medical image computing and computer-assisted intervention--MICCAI 2015: 18th international conference, Munich, Germany, October 5-9, 2015, proceedings, part III 18},
  pages={234--241},
  year={2015},
  organization={Springer}
}

@article{ddpm,
  title={Denoising diffusion probabilistic models},
  author={Ho, Jonathan and Jain, Ajay and Abbeel, Pieter},
  journal={Advances in neural information processing systems},
  volume={33},
  pages={6840--6851},
  year={2020}
}

@inproceedings{patchGAN,
  title={Image-to-image translation with conditional adversarial networks},
  author={Isola, Phillip and Zhu, Jun-Yan and Zhou, Tinghui and Efros, Alexei A},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={1125--1134},
  year={2017}
}

@article{robex,
  title={Robust brain extraction across datasets and comparison with publicly available methods},
  author={Iglesias, Juan Eugenio and others},
  journal={IEEE Trans. Med. Imag},
  volume={30},
  number={9},
  pages={1617--1634},
  year={2011},
  publisher={IEEE}
}

@article{ANTs,
  title={Advanced normalization tools (ANTS)},
  author={Avants, Brian B and others},
  journal={Insight j},
  volume={2},
  number={365},
  pages={1--35},
  year={2009}
}

@inproceedings{pix2pix,
  title={Image-to-image translation with conditional adversarial networks},
  author={Isola, Phillip and others},
  booktitle={IEEE/CVF CVPR},
  pages={1125--1134},
  year={2017}
}

@inproceedings{cycleGAN,
  title={Unpaired image-to-image translation using cycle-consistent adversarial networks},
  author={Zhu, Jun-Yan and others},
  booktitle={IEEE/CVF CVPR},
  pages={2223--2232},
  year={2017}
}

@article{BPGAN,
title = {BPGAN: Brain PET synthesis from MRI using generative adversarial network for multi-modal Alzheimer’s disease diagnosis},
journal = {Computer Methods and Programs in Biomedicine},
volume = {217},
pages = {106676},
year = {2022},
issn = {0169-2607},
author = {Jin Zhang and Xiaohai He and Linbo Qing and Feng Gao and Bin Wang}}

@article{ibeat,
  title={iBEAT V2. 0: a multisite-applicable, deep learning-based pipeline for infant cerebral cortical surface reconstruction},
  author={Wang, Li and Wu, Zhengwang and Chen, Liangjun and Sun, Yue and Lin, Weili and Li, Gang},
  journal={Nature protocols},
  volume={18},
  number={5},
  pages={1488--1509},
  year={2023},
  publisher={Nature Publishing Group UK London}
}

@article{SUVR1,
  title={Predicting symptom onset in sporadic Alzheimer disease with amyloid PET},
  author={Schindler, Suzanne E and Li, Yan and Buckles, Virginia D and Gordon, Brian A and Benzinger, Tammie LS and Wang, Guoqiao and Coble, Dean and Klunk, William E and Fagan, Anne M and Holtzman, David M and others},
  journal={Neurology},
  volume={97},
  number={18},
  pages={e1823--e1834},
  year={2021},
  publisher={AAN Enterprises}
}

@article{SUVR2,
  title={Longitudinal tau PET in ageing and Alzheimer’s disease},
  author={Jack Jr, Clifford R and Wiste, Heather J and Schwarz, Christopher G and Lowe, Val J and Senjem, Matthew L and Vemuri, Prashanthi and Weigand, Stephen D and Therneau, Terry M and Knopman, Dave S and Gunter, Jeffrey L and others},
  journal={Brain},
  volume={141},
  number={5},
  pages={1517--1528},
  year={2018},
  publisher={Oxford University Press}
}

@article{AD_time,
  title={Beta amyloid, tau, neuroimaging, and cognition: sequence modeling of biomarkers for Alzheimer’s disease},
  author={Han, S Duke and Gruhl, Jonathan and Beckett, Laurel and Dodge, Hiroko H and Stricker, Nikki H and Farias, Sarah and Mungas, Dan and Alzheimer’s Disease Neuroimaging Initiative},
  journal={Brain imaging and behavior},
  volume={6},
  pages={610--620},
  year={2012},
  publisher={Springer}
}

@article{tau_and_T1,
  title={Longitudinal brain structural changes in preclinical Alzheimer's disease},
  author={Pegueroles, Jordi and Vilaplana, Eduard and Montal, Victor and Sampedro, Frederic and Alcolea, Daniel and Carmona-Iragui, Maria and Clarimon, Jordi and Blesa, Rafael and Lle{\'o}, Alberto and Fortea, Juan and others},
  journal={Alzheimer's \& Dementia},
  volume={13},
  number={5},
  pages={499--509},
  year={2017},
  publisher={Elsevier}
}

@article{tau_and_abeta_and_T1,
  title={Beta amyloid, tau, neuroimaging, and cognition: sequence modeling of biomarkers for Alzheimer’s disease},
  author={Han, S Duke and Gruhl, Jonathan and Beckett, Laurel and Dodge, Hiroko H and Stricker, Nikki H and Farias, Sarah and Mungas, Dan and Alzheimer’s Disease Neuroimaging Initiative},
  journal={Brain imaging and behavior},
  volume={6},
  pages={610--620},
  year={2012},
  publisher={Springer}
}

@article{tau_and_abeta_and_T1_2,
  title={Untangling the association of amyloid-$\beta$ and tau with synaptic and axonal loss in Alzheimer’s disease},
  author={Pereira, Joana B and Janelidze, Shorena and Ossenkoppele, Rik and Kvartsberg, Hlin and Brinkmalm, Ann and Mattsson-Carlgren, Niklas and Stomrud, Erik and Smith, Ruben and Zetterberg, Henrik and Blennow, Kaj and others},
  journal={Brain},
  volume={144},
  number={1},
  pages={310--324},
  year={2021},
  publisher={Oxford University Press}
}

@article{medical_image_synthesis_review1,
  title={A review on medical imaging synthesis using deep learning and its clinical applications},
  author={Wang, Tonghe and Lei, Yang and Fu, Yabo and Wynne, Jacob F and Curran, Walter J and Liu, Tian and Yang, Xiaofeng},
  journal={Journal of applied clinical medical physics},
  volume={22},
  number={1},
  pages={11--36},
  year={2021},
  publisher={Wiley Online Library}
}

@article{medical_image_synthesis_review2,
  title={A review on medical imaging synthesis using deep learning and its clinical applications},
  author={Wang, Tonghe and Lei, Yang and Fu, Yabo and Wynne, Jacob F and Curran, Walter J and Liu, Tian and Yang, Xiaofeng},
  journal={Journal of applied clinical medical physics},
  volume={22},
  number={1},
  pages={11--36},
  year={2021},
  publisher={Wiley Online Library}
}

@article{medical_image_synthesis_review_gan,
  title={Image synthesis with adversarial networks: A comprehensive survey and case studies},
  author={Shamsolmoali, Pourya and Zareapoor, Masoumeh and Granger, Eric and Zhou, Huiyu and Wang, Ruili and Celebi, M Emre and Yang, Jie},
  journal={Information Fusion},
  volume={72},
  pages={126--146},
  year={2021},
  publisher={Elsevier}
}

@article{medical_image_synthesis_review_gan2,
  title={Gans for medical image synthesis: An empirical study},
  author={Skandarani, Youssef and Jodoin, Pierre-Marc and Lalande, Alain},
  journal={Journal of Imaging},
  volume={9},
  number={3},
  pages={69},
  year={2023},
  publisher={MDPI}
}

@inproceedings{medical_image_synthesis_diffusion,
  title={Three-dimensional medical image synthesis with denoising diffusion probabilistic models},
  author={Dorjsembe, Zolnamar and Odonchimed, Sodtavilan and Xiao, Furen},
  booktitle={Medical Imaging with Deep Learning},
  year={2022}
}

@article{unet2,
  title={FREA-UNet: frequency-aware U-Net for modality transfer},
  author={Emami, Hajar and Liu, Qiong and Dong, Ming},
  journal={arXiv preprint arXiv:2012.15397},
  year={2020}
}

@article{pet1,
  title={Amyloid PET imaging: applications beyond Alzheimer’s disease},
  author={Catafau, Ana M and Bullich, Santiago},
  journal={Clinical and translational imaging},
  volume={3},
  pages={39--55},
  year={2015},
  publisher={Springer}
}

@article{pet2,
  title={Imaging techniques in Alzheimer’s disease: a review of applications in early diagnosis and longitudinal monitoring},
  author={van Oostveen, Wieke M and de Lange, Elizabeth CM},
  journal={International journal of molecular sciences},
  volume={22},
  number={4},
  pages={2110},
  year={2021},
  publisher={MDPI}
}

@article{T1_1,
  title={Magnetic resonance imaging relaxation time in Alzheimer’s disease},
  author={Tang, Xiang and Cai, Feng and Ding, Dong-Xue and Zhang, Lu-Lu and Cai, Xiu-Ying and Fang, Qi},
  journal={Brain research bulletin},
  volume={140},
  pages={176--189},
  year={2018},
  publisher={Elsevier}
}

@book{T1_2,
  title={MRI: basic principles and applications},
  author={Brown, Mark A and Semelka, Richard C},
  year={2011},
  publisher={John Wiley \& Sons}
}

@article{pMCI_sMCI1,
  title={Probabilistic disease progression modeling to characterize diagnostic uncertainty: application to staging and prediction in Alzheimer's disease},
  author={Lorenzi, Marco and Filippone, Maurizio and Frisoni, Giovanni B and Alexander, Daniel C and Ourselin, S{\'e}bastien and Alzheimer's Disease Neuroimaging Initiative and others},
  journal={NeuroImage},
  volume={190},
  pages={56--68},
  year={2019},
  publisher={Elsevier}
}

@article{pMCI_sMCI2,
  title={Studying the manifold structure of Alzheimer's disease: a deep learning approach using convolutional autoencoders},
  author={Martinez-Murcia, Francisco J and Ortiz, Andres and Gorriz, Juan-Manuel and Ramirez, Javier and Castillo-Barnes, Diego},
  journal={IEEE journal of biomedical and health informatics},
  volume={24},
  number={1},
  pages={17--26},
  year={2019},
  publisher={IEEE}
}

@book{PET_principle,
  title={Clinical PET: principles and applications},
  author={Kim, E Edmund and Lee, Myung-Chul and Inoue, Tomio and Wong, Wai-Hoi},
  year={2013},
  publisher={Springer Science \& Business Media}
}

@article{PET_radiation,
  title={Radiation exposure and mortality risk from CT and PET imaging of patients with malignant lymphoma},
  author={Nievelstein, RAJ and Quarles van Ufford, HME and Kwee, TC and Bierings, MB and Ludwig, I and Beek, FJA and De Klerk, JMH and Mali, WP Th M and De Bruin, PW and Geleijns, J},
  journal={European radiology},
  volume={22},
  pages={1946--1954},
  year={2012},
  publisher={Springer}
}

@article{PET_radiation2,
  title={Risks and safety aspects related to PET/MR examinations},
  author={Brix, Gunnar and Nekolla, Elke A and Nosske, Dietmar and Griebel, J{\"u}rgen},
  journal={European journal of nuclear medicine and molecular imaging},
  volume={36},
  pages={131--138},
  year={2009},
  publisher={Springer}
}

@inproceedings{PET_neuroimaging,
  title={An overview of PET neuroimaging},
  author={Nasrallah, Ilya and Dubroff, Jacob},
  booktitle={Seminars in nuclear medicine},
  volume={43},
  number={6},
  pages={449--461},
  year={2013},
  organization={Elsevier}
}

@article{PET_AD,
  title={Brain PET in the diagnosis of Alzheimer’s disease},
  author={Marcus, Charles and Mena, Esther and Subramaniam, Rathan M},
  journal={Clinical nuclear medicine},
  volume={39},
  number={10},
  pages={e413--e426},
  year={2014},
  publisher={LWW}
}

@article{PET_AD2,
  title={The use of PET in Alzheimer disease},
  author={Nordberg, Agneta and Rinne, Juha O and Kadir, Ahmadul and L{\aa}ngstr{\"o}m, Bengt},
  journal={Nature Reviews Neurology},
  volume={6},
  number={2},
  pages={78--87},
  year={2010},
  publisher={Nature Publishing Group UK London}
}

@article{causal_inference,
  title={Causal inference},
  author={Pearl, Judea},
  journal={Causality: objectives and assessment},
  pages={39--58},
  year={2010},
  publisher={PMLR}
}

@article{AV45,
  title={Florbetapir (F18-AV-45) PET to assess amyloid burden in Alzheimer's disease dementia, mild cognitive impairment, and normal aging},
  author={Johnson, Keith A and Sperling, Reisa A and Gidicsin, Christopher M and Carmasin, Jeremy S and Maye, Jacqueline E and Coleman, Ralph E and Reiman, Eric M and Sabbagh, Marwan N and Sadowsky, Carl H and Fleisher, Adam S and others},
  journal={Alzheimer's \& Dementia},
  volume={9},
  number={5},
  pages={S72--S83},
  year={2013},
  publisher={Elsevier}
}

@article{AV1451,
  title={AV-1451 PET imaging of tau pathology in preclinical Alzheimer disease: defining a summary measure},
  author={Mishra, Shruti and Gordon, Brian A and Su, Yi and Christensen, Jon and Friedrichsen, Karl and Jackson, Kelley and Hornbeck, Russ and Balota, David A and Cairns, Nigel J and Morris, John C and others},
  journal={Neuroimage},
  volume={161},
  pages={171--178},
  year={2017},
  publisher={Elsevier}
}

@article{ADNI,
  title={Alzheimer's disease Neuroimaging Initiative (ADNI) clinical characterization},
  author={Petersen, Ronald Carl and Aisen, Paul S and Beckett, Laurel A and Donohue, Michael C and Gamst, Anthony Collins and Harvey, Danielle J and Jack Jr, CR and Jagust, William J and Shaw, Leslie M and Toga, Arthur W and others},
  journal={Neurology},
  volume={74},
  number={3},
  pages={201--209},
  year={2010},
  publisher={AAN Enterprises}
}

@article{tau_and_T1,
  title={Longitudinal brain structural changes in preclinical Alzheimer's disease},
  author={Pegueroles, Jordi and Vilaplana, Eduard and Montal, Victor and Sampedro, Frederic and Alcolea, Daniel and Carmona-Iragui, Maria and Clarimon, Jordi and Blesa, Rafael and Lle{\'o}, Alberto and Fortea, Juan and others},
  journal={Alzheimer's \& Dementia},
  volume={13},
  number={5},
  pages={499--509},
  year={2017},
  publisher={Elsevier}
}

@article{tau_and_abeta_and_T1,
  title={Beta amyloid, tau, neuroimaging, and cognition: sequence modeling of biomarkers for Alzheimer’s disease},
  author={Han, S Duke and Gruhl, Jonathan and Beckett, Laurel and Dodge, Hiroko H and Stricker, Nikki H and Farias, Sarah and Mungas, Dan and Alzheimer’s Disease Neuroimaging Initiative},
  journal={Brain imaging and behavior},
  volume={6},
  pages={610--620},
  year={2012},
  publisher={Springer}
}

@article{tau_and_abeta_and_T1_2,
  title={Untangling the association of amyloid-$\beta$ and tau with synaptic and axonal loss in Alzheimer’s disease},
  author={Pereira, Joana B and Janelidze, Shorena and Ossenkoppele, Rik and Kvartsberg, Hlin and Brinkmalm, Ann and Mattsson-Carlgren, Niklas and Stomrud, Erik and Smith, Ruben and Zetterberg, Henrik and Blennow, Kaj and others},
  journal={Brain},
  volume={144},
  number={1},
  pages={310--324},
  year={2021},
  publisher={Oxford University Press}
}


@book{T1_2,
  title={MRI: basic principles and applications},
  author={Brown, Mark A and Semelka, Richard C},
  year={2011},
  publisher={John Wiley \& Sons}
}



@article{pet2,
  title={Imaging techniques in Alzheimer’s disease: a review of applications in early diagnosis and longitudinal monitoring},
  author={van Oostveen, Wieke M and de Lange, Elizabeth CM},
  journal={International journal of molecular sciences},
  volume={22},
  number={4},
  pages={2110},
  year={2021},
  publisher={MDPI}
}

@article{age_and_VV1,
  title={Relation of age and cerebral ventricle size to central canal in man: Morphological analysis},
  author={Kasantikul, Vira and others},
  journal={Journal of neurosurgery},
  volume={51},
  number={1},
  pages={85--93},
  year={1979},
  publisher={Journal of Neurosurgery Publishing Group}
}

@article{sex2,
  title={Sex differences in Alzheimer’s disease: Insights from the multiomics landscape},
  author={Guo, Lei and others},
  journal={Biological psychiatry},
  volume={91},
  number={1},
  pages={61--71},
  year={2022},
  publisher={Elsevier}
}

@article{sex1,
  title={Sex differences in temporo-limbic and frontal brain volumes of healthy adults},
  author={Gur, Ruben C and Gunning-Dixon, Faith and Bilker, Warren B and Gur, Raquel E},
  journal={Cerebral cortex},
  volume={12},
  number={9},
  pages={998--1003},
  year={2002},
  publisher={Oxford Academic}
}

@article{education1,
  title={Relation of education to brain size in normal aging: implications for the reserve hypothesis},
  author={Coffey, C Edward and Saxton, JA and Ratcliff, G and Bryan, RN and Lucke, JF},
  journal={Neurology},
  volume={53},
  number={1},
  pages={189--189},
  year={1999},
  publisher={AAN Enterprises}
}

@article{gene1,
  title={Effect of APOE genotype on amyloid deposition, brain volume, and memory in cognitively normal older individuals},
  author={Lim, Yen Ying and Williamson, Robert and Laws, Simon M and Villemagne, Victor L and Bourgeat, Pierrick and Fowler, Christopher and Rainey-Smith, Stephanie and Salvado, Olivier and Martins, Ralph N and Rowe, Christopher C and others},
  journal={Journal of Alzheimer's Disease},
  volume={58},
  number={4},
  pages={1293--1302},
  year={2017},
  publisher={IOS Press}
}

@article{Abeta_and_age,
  title={Plasma A$\beta$40 and A$\beta$42 and Alzheimer’s disease: relation to age, mortality, and risk},
  author={Mayeux, Richard and others},
  journal={Neurology},
  volume={61},
  number={9},
  pages={1185--1190},
  year={2003},
  publisher={AAN Enterprises}
}

@article{Abeta_and_tau1,
  title={The intersection of amyloid beta and tau at synapses in Alzheimer’s disease},
  author={Spires-Jones, Tara L and others},
  journal={Neuron},
  volume={82},
  number={4},
  pages={756--771},
  year={2014},
  publisher={Elsevier}
}

@article{education_and_abeta,
  title={P2-430: The Prevalence of Pathological CSF Abeta-42 and ITS Relation to Education in a Population Sample of Older People from Sweden},
  author={Skoog, Ingmar and Kern, Silke and Kern, J{\"u}rgen and B{\"o}rjesson-Hanson, Anne and Blennow, Kaj and Zetterberg, Henrik},
  journal={Alzheimer's \& Dementia},
  volume={12},
  pages={P810--P810},
  year={2016},
  publisher={Wiley Online Library}
}

@article{education_and_tau,
  title={Association of apolipoprotein E4, educational level, and sex with tau deposition and tau-mediated metabolic dysfunction in older adults},
  author={Ramanan, Vijay K and Castillo, Anna M and Knopman, David S and Graff-Radford, Jonathan and Lowe, Val J and Petersen, Ronald C and Jack, Clifford R and Mielke, Michelle M and Vemuri, Prashanthi},
  journal={JAMA Network Open},
  volume={2},
  number={10},
  pages={e1913909--e1913909},
  year={2019},
  publisher={American Medical Association}
}

@article{sex_and_tau,
  title={Sex differences in the association of global amyloid and regional tau deposition measured by positron emission tomography in clinically normal older adults},
  author={Buckley, Rachel F and Mormino, Elizabeth C and Rabin, Jennifer S and Hohman, Timothy J and Landau, Susan and Hanseeuw, Bernard J and Jacobs, Heidi IL and Papp, Kathryn V and Amariglio, Rebecca E and Properzi, Michael J and others},
  journal={JAMA neurology},
  volume={76},
  number={5},
  pages={542--551},
  year={2019},
  publisher={American Medical Association}
}


@inproceedings{controlnet,
  title={Adding conditional control to text-to-image diffusion models},
  author={Zhang, Lvmin and Rao, Anyi and Agrawala, Maneesh},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={3836--3847},
  year={2023}
}

@inproceedings{pasta,
  title={PASTA: P thology-A ware MRI to PET Cross-modal Translation with Diffusion Models},
  author={Li, Yitong and Yakushev, Igor and Hedderich, Dennis M and Wachinger, Christian},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={529--540},
  year={2024},
  organization={Springer}
}

@inproceedings{CLDM,
  author={Ou, Zaixin and Pan, Yongsheng and Li, Yuanning and Xie, Fang and Guo, Qihao and Shen, Dinggang},
  booktitle={ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, 
  title={Synthesizing Abeta-Pet Via An Image And Label Conditioning Latent Diffusion Model For Detecting Amyloid Status}, 
  year={2024},
  volume={},
  number={},
  pages={6610-6614},
  keywords={Neuroimaging;Image synthesis;Magnetic resonance imaging;Signal processing;Feature extraction;Metabolism;Reliability;Aβ-PET imputation;Diffusion models;Alzheimer’s disease},
  doi={10.1109/ICASSP48485.2024.10448346}}

@article{DSCM,
  title={Deep structural causal models for tractable counterfactual inference},
  author={Pawlowski, Nick and Coelho de Castro, Daniel and Glocker, Ben},
  journal={Advances in neural information processing systems},
  volume={33},
  pages={857--869},
  year={2020}
}

@article{NCM,
  title={Neural causal models for counterfactual identification and estimation},
  author={Xia, Kevin and Pan, Yushu and Bareinboim, Elias},
  journal={arXiv preprint arXiv:2210.00035},
  year={2022}
}