@article{louis20162016,
  title={The 2016 World Health Organization classification of tumors of the central nervous system: a summary},
  author={Louis, David N and Perry, Arie and Reifenberger, Guido and Von Deimling, Andreas and Figarella-Branger, Dominique and Cavenee, Webster K and Ohgaki, Hiroko and Wiestler, Otmar D and Kleihues, Paul and Ellison, David W},
  journal={Acta neuropathologica},
  volume={131},
  pages={803--820},
  year={2016},
  publisher={Springer}
}

@article{menze2014multimodal,
  title={The multimodal brain tumor image segmentation benchmark (BRATS)},
  author={Menze, Bjoern H and Jakab, Andras and Bauer, Stefan and Kalpathy-Cramer, Jayashree and Farahani, Keyvan and Kirby, Justin and Burren, Yuliya and Porz, Nicole and Slotboom, Johannes and Wiest, Roland and others},
  journal={IEEE transactions on medical imaging},
  volume={34},
  number={10},
  pages={1993--2024},
  year={2014},
  publisher={IEEE}
}

@article{holland2001progenitor,
  title={Progenitor cells and glioma formation},
  author={Holland, Eric C},
  journal={Current opinion in neurology},
  volume={14},
  number={6},
  pages={683--688},
  year={2001},
  publisher={LWW}
}

@article{hakyemez2005high,
  title={High-grade and low-grade gliomas: differentiation by using perfusion MR imaging},
  author={Hakyemez, BAHATT{\.I}N and Erdogan, C and Ercan, I and Ergin, N and Uysal, S and Atahan, S},
  journal={Clinical radiology},
  volume={60},
  number={4},
  pages={493--502},
  year={2005},
  publisher={Elsevier}
}

@article{wang2013understanding,
  title={Understanding high grade glioma: molecular mechanism, therapy and comprehensive management},
  author={Wang, Yongzhi and Jiang, Tao},
  journal={Cancer letters},
  volume={331},
  number={2},
  pages={139--146},
  year={2013},
  publisher={Elsevier}
}

@article{villa20182016,
  title={The 2016 World Health Organization classification of tumours of the central nervous system},
  author={Villa, Chiara and Miquel, Catherine and Mosses, Dominic and Bernier, Mich{\`e}le and Di Stefano, Anna Luisa},
  journal={La Presse M{\'e}dicale},
  volume={47},
  number={11-12},
  pages={e187--e200},
  year={2018},
  publisher={Elsevier}
}

@article{youssef2020lower,
  title={Lower grade gliomas},
  author={Youssef, Gilbert and Miller, Julie J},
  journal={Current neurology and neuroscience reports},
  volume={20},
  pages={1--9},
  year={2020},
  publisher={Springer}
}

@article{mzoughi2020deep,
  title={Deep multi-scale 3D convolutional neural network (CNN) for MRI gliomas brain tumor classification},
  author={Mzoughi, Hiba and Njeh, Ines and Wali, Ali and Slima, Mohamed Ben and BenHamida, Ahmed and Mhiri, Chokri and Mahfoudhe, Kharedine Ben},
  journal={Journal of Digital Imaging},
  volume={33},
  pages={903--915},
  year={2020},
  publisher={Springer}
}

@article{zacharaki2009classification,
  title={Classification of brain tumor type and grade using MRI texture and shape in a machine learning scheme},
  author={Zacharaki, Evangelia I and Wang, Sumei and Chawla, Sanjeev and Soo Yoo, Dong and Wolf, Ronald and Melhem, Elias R and Davatzikos, Christos},
  journal={Magnetic Resonance in Medicine: An Official Journal of the International Society for Magnetic Resonance in Medicine},
  volume={62},
  number={6},
  pages={1609--1618},
  year={2009},
  publisher={Wiley Online Library}
}

@inproceedings{alex2017generative,
  title={Generative adversarial networks for brain lesion detection},
  author={Alex, Varghese and KP, Mohammed Safwan and Chennamsetty, Sai Saketh and Krishnamurthi, Ganapathy},
  booktitle={Medical Imaging 2017: Image Processing},
  volume={10133},
  pages={113--121},
  year={2017},
  organization={SPIE}
}

@inproceedings{pei2020brain,
  title={Brain tumor classification using 3d convolutional neural network},
  author={Pei, Linmin and Vidyaratne, Lasitha and Hsu, Wei-Wen and Rahman, Md Monibor and Iftekharuddin, Khan M},
  booktitle={Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 5th International Workshop, BrainLes 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Revised Selected Papers, Part II 5},
  pages={335--342},
  year={2020},
  organization={Springer}
}

@article{ge2020deep,
  title={Deep semi-supervised learning for brain tumor classification},
  author={Ge, Chenjie and Gu, Irene Yu-Hua and Jakola, Asgeir Store and Yang, Jie},
  journal={BMC Medical Imaging},
  volume={20},
  number={1},
  pages={1--11},
  year={2020},
  publisher={BioMed Central}
}

@inproceedings{ismael2018brain,
  title={Brain tumor classification via statistical features and back-propagation neural network},
  author={Ismael, Mustafa R and Abdel-Qader, Ikhlas},
  booktitle={2018 IEEE international conference on electro/information technology (EIT)},
  pages={0252--0257},
  year={2018},
  organization={IEEE}
}

@article{swati2019brain,
  title={Brain tumor classification for MR images using transfer learning and fine-tuning},
  author={Swati, Zar Nawab Khan and Zhao, Qinghua and Kabir, Muhammad and Ali, Farman and Ali, Zakir and Ahmed, Saeed and Lu, Jianfeng},
  journal={Computerized Medical Imaging and Graphics},
  volume={75},
  pages={34--46},
  year={2019},
  publisher={Elsevier}
}

@article{tandel2020multiclass,
  title={Multiclass magnetic resonance imaging brain tumor classification using artificial intelligence paradigm},
  author={Tandel, Gopal S and Balestrieri, Antonella and Jujaray, Tanay and Khanna, Narender N and Saba, Luca and Suri, Jasjit S},
  journal={Computers in Biology and Medicine},
  volume={122},
  pages={103804},
  year={2020},
  publisher={Elsevier}
}

@article{sajjad2019multi,
  title={Multi-grade brain tumor classification using deep CNN with extensive data augmentation},
  author={Sajjad, Muhammad and Khan, Salman and Muhammad, Khan and Wu, Wanqing and Ullah, Amin and Baik, Sung Wook},
  journal={Journal of computational science},
  volume={30},
  pages={174--182},
  year={2019},
  publisher={Elsevier}
}

@article{rehman2020deep,
  title={A deep learning-based framework for automatic brain tumors classification using transfer learning},
  author={Rehman, Arshia and Naz, Saeeda and Razzak, Muhammad Imran and Akram, Faiza and Imran, Muhammad},
  journal={Circuits, Systems, and Signal Processing},
  volume={39},
  pages={757--775},
  year={2020},
  publisher={Springer}
}

@article{yapici2023improving,
  title={Improving Brain Tumor Classification with Deep Learning Using Synthetic Data},
  author={YAPICI, MUHAMMED and KARAKI{\c{S}}, RUK{\.I}YE and G{\"U}RKAHRAMAN, KAL{\.I}},
  journal={Computers, Materials and Continua},
  volume={74},
  number={3},
  year={2023}
}

@article{ghassemi2020deep,
  title={Deep neural network with generative adversarial networks pre-training for brain tumor classification based on MR images},
  author={Ghassemi, Navid and Shoeibi, Afshin and Rouhani, Modjtaba},
  journal={Biomedical Signal Processing and Control},
  volume={57},
  pages={101678},
  year={2020},
  publisher={Elsevier}
}

@article{cheng2015enhanced,
  title={Enhanced performance of brain tumor classification via tumor region augmentation and partition},
  author={Cheng, Jun and Huang, Wei and Cao, Shuangliang and Yang, Ru and Yang, Wei and Yun, Zhaoqiang and Wang, Zhijian and Feng, Qianjin},
  journal={PloS one},
  volume={10},
  number={10},
  pages={e0140381},
  year={2015},
  publisher={Public Library of Science San Francisco, CA USA}
}

@inproceedings{ge2022long,
  title={Long video generation with time-agnostic vqgan and time-sensitive transformer},
  author={Ge, Songwei and Hayes, Thomas and Yang, Harry and Yin, Xi and Pang, Guan and Jacobs, David and Huang, Jia-Bin and Parikh, Devi},
  booktitle={Computer Vision--ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23--27, 2022, Proceedings, Part XVII},
  pages={102--118},
  year={2022},
  organization={Springer}
}

@inproceedings{esser2021taming,
  title={Taming transformers for high-resolution image synthesis},
  author={Esser, Patrick and Rombach, Robin and Ommer, Bjorn},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={12873--12883},
  year={2021}
}

@inproceedings{kwon2019generation,
  title={Generation of 3D brain MRI using auto-encoding generative adversarial networks},
  author={Kwon, Gihyun and Han, Chihye and Kim, Dae-shik},
  booktitle={Medical Image Computing and Computer Assisted Intervention--MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13--17, 2019, Proceedings, Part III 22},
  pages={118--126},
  year={2019},
  organization={Springer}
}

@inproceedings{volokitin2020modelling,
  title={Modelling the distribution of 3D brain MRI using a 2D slice VAE},
  author={Volokitin, Anna and Erdil, Ertunc and Karani, Neerav and Tezcan, Kerem Can and Chen, Xiaoran and Van Gool, Luc and Konukoglu, Ender},
  booktitle={Medical Image Computing and Computer Assisted Intervention--MICCAI 2020: 23rd International Conference, Lima, Peru, October 4--8, 2020, Proceedings, Part VII 23},
  pages={657--666},
  year={2020},
  organization={Springer}
}

@article{subramaniam2022generating,
  title={Generating 3D TOF-MRA volumes and segmentation labels using generative adversarial networks},
  author={Subramaniam, Pooja and Kossen, Tabea and Ritter, Kerstin and Hennemuth, Anja and Hildebrand, Kristian and Hilbert, Adam and Sobesky, Jan and Livne, Michelle and Galinovic, Ivana and Khalil, Ahmed A and others},
  journal={Medical Image Analysis},
  volume={78},
  pages={102396},
  year={2022},
  publisher={Elsevier}
}

@article{khader2022medical,
  title={Medical Diffusion--Denoising Diffusion Probabilistic Models for 3D Medical Image Generation},
  author={Khader, Firas and Mueller-Franzes, Gustav and Arasteh, Soroosh Tayebi and Han, Tianyu and Haarburger, Christoph and Schulze-Hagen, Maximilian and Schad, Philipp and Engelhardt, Sandy and Baessler, Bettina and Foersch, Sebastian and others},
  journal={arXiv preprint arXiv:2211.03364},
  year={2022}
}

@article{loshchilov2017decoupled,
  title={Decoupled weight decay regularization},
  author={Loshchilov, Ilya and Hutter, Frank},
  journal={arXiv preprint arXiv:1711.05101},
  year={2017}
}

@inproceedings{pereira2018automatic,
  title={Automatic brain tumor grading from MRI data using convolutional neural networks and quality assessment},
  author={Pereira, S{\'e}rgio and Meier, Raphael and Alves, Victor and Reyes, Mauricio and Silva, Carlos A},
  booktitle={Understanding and Interpreting Machine Learning in Medical Image Computing Applications: First International Workshops, MLCN 2018, DLF 2018, and iMIMIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings 1},
  pages={106--114},
  year={2018},
  organization={Springer}
}

@inproceedings{hara2017learning,
  title={Learning spatio-temporal features with 3d residual networks for action recognition},
  author={Hara, Kensho and Kataoka, Hirokatsu and Satoh, Yutaka},
  booktitle={Proceedings of the IEEE international conference on computer vision workshops},
  pages={3154--3160},
  year={2017}
}

@inproceedings{lin2017focal,
  title={Focal loss for dense object detection},
  author={Lin, Tsung-Yi and Goyal, Priya and Girshick, Ross and He, Kaiming and Doll{\'a}r, Piotr},
  booktitle={Proceedings of the IEEE international conference on computer vision},
  pages={2980--2988},
  year={2017}
}

@article{gretton2012kernel,
  title={A kernel two-sample test},
  author={Gretton, Arthur and Borgwardt, Karsten M and Rasch, Malte J and Sch{\"o}lkopf, Bernhard and Smola, Alexander},
  journal={The Journal of Machine Learning Research},
  volume={13},
  number={1},
  pages={723--773},
  year={2012},
  publisher={JMLR. org}
}

@article{rosca2017variational,
  title={Variational approaches for auto-encoding generative adversarial networks},
  author={Rosca, Mihaela and Lakshminarayanan, Balaji and Warde-Farley, David and Mohamed, Shakir},
  journal={arXiv preprint arXiv:1706.04987},
  year={2017}
}

@article{gulrajani2017improved,
  title={Improved training of wasserstein gans},
  author={Gulrajani, Ishaan and Ahmed, Faruk and Arjovsky, Martin and Dumoulin, Vincent and Courville, Aaron C},
  journal={Advances in neural information processing systems},
  volume={30},
  year={2017}
}

@article{dar2019image,
  title={Image synthesis in multi-contrast MRI with conditional generative adversarial networks},
  author={Dar, Salman UH and Yurt, Mahmut and Karacan, Levent and Erdem, Aykut and Erdem, Erkut and Cukur, Tolga},
  journal={IEEE transactions on medical imaging},
  volume={38},
  number={10},
  pages={2375--2388},
  year={2019},
  publisher={IEEE}
}

@inproceedings{shin2018medical,
  title={Medical image synthesis for data augmentation and anonymization using generative adversarial networks},
  author={Shin, Hoo-Chang and Tenenholtz, Neil A and Rogers, Jameson K and Schwarz, Christopher G and Senjem, Matthew L and Gunter, Jeffrey L and Andriole, Katherine P and Michalski, Mark},
  booktitle={Simulation and Synthesis in Medical Imaging: Third International Workshop, SASHIMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings 3},
  pages={1--11},
  year={2018},
  organization={Springer}
}

@inproceedings{yu20183d,
  title={3D cGAN based cross-modality MR image synthesis for brain tumor segmentation},
  author={Yu, Biting and Zhou, Luping and Wang, Lei and Fripp, Jurgen and Bourgeat, Pierrick},
  booktitle={2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018)},
  pages={626--630},
  year={2018},
  organization={IEEE}
}

@inproceedings{johnson2016perceptual,
  title={Perceptual losses for real-time style transfer and super-resolution},
  author={Johnson, Justin and Alahi, Alexandre and Fei-Fei, Li},
  booktitle={Computer Vision--ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part II 14},
  pages={694--711},
  year={2016},
  organization={Springer}
}

@article{hao2021transfer,
  title={A transfer learning--based active learning framework for brain tumor classification},
  author={Hao, Ruqian and Namdar, Khashayar and Liu, Lin and Khalvati, Farzad},
  journal={Frontiers in Artificial Intelligence},
  volume={4},
  pages={635766},
  year={2021},
  publisher={Frontiers Media SA}
}

@article{bakas2017advancing,
  title={Advancing the cancer genome atlas glioma MRI collections with expert segmentation labels and radiomic features},
  author={Bakas, Spyridon and Akbari, Hamed and Sotiras, Aristeidis and Bilello, Michel and Rozycki, Martin and Kirby, Justin S and Freymann, John B and Farahani, Keyvan and Davatzikos, Christos},
  journal={Scientific data},
  volume={4},
  number={1},
  pages={1--13},
  year={2017},
  publisher={Nature Publishing Group}
}

@article{bakas2018identifying,
  title={Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge},
  author={Bakas, Spyridon and Reyes, Mauricio and Jakab, Andras and Bauer, Stefan and Rempfler, Markus and Crimi, Alessandro and Shinohara, Russell Takeshi and Berger, Christoph and Ha, Sung Min and Rozycki, Martin and others},
  journal={arXiv preprint arXiv:1811.02629},
  year={2018}
}

@article{sanchez2018brain,
  title={Brain MRI super-resolution using 3D generative adversarial networks},
  author={S{\'a}nchez, Irina and Vilaplana, Ver{\'o}nica},
  journal={arXiv preprint arXiv:1812.11440},
  year={2018}
}


@article{peng2022generating,
  title={Generating Realistic 3D Brain MRIs Using a Conditional Diffusion Probabilistic Model},
  author={Peng, Wei and Adeli, Ehsan and Zhao, Qingyu and Pohl, Kilian M},
  journal={arXiv preprint arXiv:2212.08034},
  year={2022}
}

@article{mathieu2015deep,
  title={Deep multi-scale video prediction beyond mean square error},
  author={Mathieu, Michael and Couprie, Camille and LeCun, Yann},
  journal={arXiv preprint arXiv:1511.05440},
  year={2015}
}

@inproceedings{xie2022simmim,
  title={Simmim: A simple framework for masked image modeling},
  author={Xie, Zhenda and Zhang, Zheng and Cao, Yue and Lin, Yutong and Bao, Jianmin and Yao, Zhuliang and Dai, Qi and Hu, Han},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={9653--9663},
  year={2022}
}

@inproceedings{huang2023not,
  title={Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image Generation},
  author={Huang, Mengqi and Mao, Zhendong and Wang, Quan and Zhang, Yongdong},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={2002--2011},
  year={2023}
}

@article{heusel2017gans,
  title={Gans trained by a two time-scale update rule converge to a local nash equilibrium},
  author={Heusel, Martin and Ramsauer, Hubert and Unterthiner, Thomas and Nessler, Bernhard and Hochreiter, Sepp},
  journal={Advances in neural information processing systems},
  volume={30},
  year={2017}
}

@article{devlin2018bert,
  title={Bert: Pre-training of deep bidirectional transformers for language understanding},
  author={Devlin, Jacob and Chang, Ming-Wei and Lee, Kenton and Toutanova, Kristina},
  journal={arXiv preprint arXiv:1810.04805},
  year={2018}
}

@article{bao2021beit,
  title={Beit: Bert pre-training of image transformers},
  author={Bao, Hangbo and Dong, Li and Piao, Songhao and Wei, Furu},
  journal={arXiv preprint arXiv:2106.08254},
  year={2021}
}

@inproceedings{li2023mage,
  title={Mage: Masked generative encoder to unify representation learning and image synthesis},
  author={Li, Tianhong and Chang, Huiwen and Mishra, Shlok and Zhang, Han and Katabi, Dina and Krishnan, Dilip},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={2142--2152},
  year={2023}
}

@inproceedings{he2022masked,
  title={Masked autoencoders are scalable vision learners},
  author={He, Kaiming and Chen, Xinlei and Xie, Saining and Li, Yanghao and Doll{\'a}r, Piotr and Girshick, Ross},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={16000--16009},
  year={2022}
}

@inproceedings{chang2022maskgit,
  title={Maskgit: Masked generative image transformer},
  author={Chang, Huiwen and Zhang, Han and Jiang, Lu and Liu, Ce and Freeman, William T},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={11315--11325},
  year={2022}
}

@article{de2019management,
  title={Management of pediatric low-grade glioma},
  author={de Blank, Peter and Bandopadhayay, Pratiti and Haas-Kogan, Daphne and Fouladi, Maryam and Fangusaro, Jason},
  journal={Current opinion in pediatrics},
  volume={31},
  number={1},
  pages={21},
  year={2019},
  publisher={NIH Public Access}
}

@article{krishnatry2016clinical,
  title={Clinical and treatment factors determining long-term outcomes for adult survivors of childhood low-grade glioma: a population-based study},
  author={Krishnatry, Rahul and Zhukova, Nataliya and Guerreiro Stucklin, Ana S and Pole, Jason D and Mistry, Matthew and Fried, Iris and Ramaswamy, Vijay and Bartels, Ute and Huang, Annie and Laperriere, Normand and others},
  journal={Cancer},
  volume={122},
  number={8},
  pages={1261--1269},
  year={2016},
  publisher={Wiley Online Library}
}

@article{ryall2020integrated,
  title={Integrated molecular and clinical analysis of 1,000 pediatric low-grade gliomas},
  author={Ryall, Scott and Zapotocky, Michal and Fukuoka, Kohei and Nobre, Liana and Stucklin, Ana Guerreiro and Bennett, Julie and Siddaway, Robert and Li, Christopher and Pajovic, Sanja and Arnoldo, Anthony and others},
  journal={Cancer cell},
  volume={37},
  number={4},
  pages={569--583},
  year={2020},
  publisher={Elsevier}
}

@article{sturm2017pediatric,
  title={Pediatric gliomas: current concepts on diagnosis, biology, and clinical management},
  author={Sturm, Dominik and Pfister, Stefan M and Jones, David TW},
  journal={Journal of Clinical Oncology},
  volume={35},
  number={21},
  pages={2370--2377},
  year={2017},
  publisher={American Society of Clinical Oncology}
}

@article{pollack2019childhood,
  title={Childhood brain tumors: current management, biological insights, and future directions: JNSPG 75th Anniversary Invited Review Article},
  author={Pollack, Ian F and Agnihotri, Sameer and Broniscer, Alberto},
  journal={Journal of Neurosurgery: Pediatrics},
  volume={23},
  number={3},
  pages={261--273},
  year={2019},
  publisher={American Association of Neurological Surgeons}
}

@article{namdar2022tumor,
  title={Tumor-location-guided CNNs for Pediatric Low-grade Glioma Molecular Biomarker Classification Using MRI},
  author={Namdar, Khashayar and Wagner, Matthias W and Kudus, Kareem and Hawkins, Cynthia and Tabori, Uri and Ertl-Wagner, Brigit and Khalvati, Farzad},
  journal={arXiv preprint arXiv:2210.07287},
  year={2022}
}

@article{tak2023noninvasive,
  title={Noninvasive molecular subtyping of pediatric low-grade glioma with self-supervised transfer learning},
  author={Tak, Divyanshu and Ye, Zezhong and Zapaischykova, Anna and Zha, Yining and Boyd, Aidan and Vajapeyam, Sridhar and Chopra, Rishi and Hayat, Hasaan and Prabhu, Sanjay and Liu, Kevin X and others},
  journal={medRxiv},
  pages={2023--08},
  year={2023},
  publisher={Cold Spring Harbor Laboratory Press}
}

@article{ullah2022effective,
  title={An effective approach to detect and identify brain tumors using transfer learning},
  author={Ullah, Naeem and Khan, Javed Ali and Khan, Mohammad Sohail and Khan, Wahab and Hassan, Izaz and Obayya, Marwa and Negm, Noha and Salama, Ahmed S},
  journal={Applied Sciences},
  volume={12},
  number={11},
  pages={5645},
  year={2022},
  publisher={MDPI}
}

@article{srinivas2022deep,
  title={Deep transfer learning approaches in performance analysis of brain tumor classification using MRI images},
  author={Srinivas, Chetana and KS, Nandini Prasad and Zakariah, Mohammed and Alothaibi, Yousef Ajmi and Shaukat, Kamran and Partibane, B and Awal, Halifa and others},
  journal={Journal of Healthcare Engineering},
  volume={2022},
  year={2022},
  publisher={Hindawi}
}

@article{ghazal2022alzheimer,
  title={Alzheimer Disease Detection Empowered with Transfer Learning.},
  author={Ghazal, Taher M and Abbas, Sagheer and Munir, Sundus and Khan, MA and Ahmad, Munir and Issa, Ghassan F and Zahra, Syeda Binish and Khan, Muhammad Adnan and Hasan, Mohammad Kamrul},
  journal={Computers, Materials \& Continua},
  volume={70},
  number={3},
  year={2022}
}

@article{ashraf2021deep,
  title={Deep transfer learning for alzheimer neurological disorder detection},
  author={Ashraf, Abida and Naz, Saeeda and Shirazi, Syed Hamad and Razzak, Imran and Parsad, Mukesh},
  journal={Multimedia Tools and Applications},
  pages={1--26},
  year={2021},
  publisher={Springer}
}

@article{esser2021imagebart,
  title={Imagebart: Bidirectional context with multinomial diffusion for autoregressive image synthesis},
  author={Esser, Patrick and Rombach, Robin and Blattmann, Andreas and Ommer, Bjorn},
  journal={Advances in neural information processing systems},
  volume={34},
  pages={3518--3532},
  year={2021}
}

@inproceedings{crowson2022vqgan,
  title={Vqgan-clip: Open domain image generation and editing with natural language guidance},
  author={Crowson, Katherine and Biderman, Stella and Kornis, Daniel and Stander, Dashiell and Hallahan, Eric and Castricato, Louis and Raff, Edward},
  booktitle={European Conference on Computer Vision},
  pages={88--105},
  year={2022},
  organization={Springer}
}

@article{ho2022imagen,
  title={Imagen video: High definition video generation with diffusion models},
  author={Ho, Jonathan and Chan, William and Saharia, Chitwan and Whang, Jay and Gao, Ruiqi and Gritsenko, Alexey and Kingma, Diederik P and Poole, Ben and Norouzi, Mohammad and Fleet, David J and others},
  journal={arXiv preprint arXiv:2210.02303},
  year={2022}
}

@article{yang2022diffusion,
  title={Diffusion probabilistic modeling for video generation},
  author={Yang, Ruihan and Srivastava, Prakhar and Mandt, Stephan},
  journal={arXiv preprint arXiv:2203.09481},
  year={2022}
}

@article{harvey2022flexible,
  title={Flexible diffusion modeling of long videos},
  author={Harvey, William and Naderiparizi, Saeid and Masrani, Vaden and Weilbach, Christian and Wood, Frank},
  journal={Advances in Neural Information Processing Systems},
  volume={35},
  pages={27953--27965},
  year={2022}
}

@inproceedings{han2018gan,
  title={GAN-based synthetic brain MR image generation},
  author={Han, Changhee and Hayashi, Hideaki and Rundo, Leonardo and Araki, Ryosuke and Shimoda, Wataru and Muramatsu, Shinichi and Furukawa, Yujiro and Mauri, Giancarlo and Nakayama, Hideki},
  booktitle={2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018)},
  pages={734--738},
  year={2018},
  organization={IEEE}
}

@inproceedings{hong20213d,
  title={3d-stylegan: A style-based generative adversarial network for generative modeling of three-dimensional medical images},
  author={Hong, Sungmin and Marinescu, Razvan and Dalca, Adrian V and Bonkhoff, Anna K and Bretzner, Martin and Rost, Natalia S and Golland, Polina},
  booktitle={Deep Generative Models, and Data Augmentation, Labelling, and Imperfections: First Workshop, DGM4MICCAI 2021, and First Workshop, DALI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings 1},
  pages={24--34},
  year={2021},
  organization={Springer}
}

@article{muller2022diffusion,
  title={Diffusion probabilistic models beat gans on medical images},
  author={M{\"u}ller-Franzes, Gustav and Niehues, Jan Moritz and Khader, Firas and Arasteh, Soroosh Tayebi and Haarburger, Christoph and Kuhl, Christiane and Wang, Tianci and Han, Tianyu and Nebelung, Sven and Kather, Jakob Nikolas and others},
  journal={arXiv preprint arXiv:2212.07501},
  year={2022}
}

@article{dhariwal2021diffusion,
  title={Diffusion models beat gans on image synthesis},
  author={Dhariwal, Prafulla and Nichol, Alexander},
  journal={Advances in neural information processing systems},
  volume={34},
  pages={8780--8794},
  year={2021}
}

@article{ho2020denoising,
  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}
}

@article{la2022anatomically,
  title={Anatomically constrained CT image translation for heterogeneous blood vessel segmentation},
  author={La Barbera, Giammarco and Boussaid, Haithem and Maso, Francesco and Sarnacki, Sabine and Rouet, Laurence and Gori, Pietro and Bloch, Isabelle},
  journal={arXiv preprint arXiv:2210.01713},
  year={2022}
}

@inproceedings{wolleb2022diffusion,
  title={Diffusion models for medical anomaly detection},
  author={Wolleb, Julia and Bieder, Florentin and Sandk{\"u}hler, Robin and Cattin, Philippe C},
  booktitle={International Conference on Medical image computing and computer-assisted intervention},
  pages={35--45},
  year={2022},
  organization={Springer}
}

@article{yu2021vector,
  title={Vector-quantized image modeling with improved vqgan},
  author={Yu, Jiahui and Li, Xin and Koh, Jing Yu and Zhang, Han and Pang, Ruoming and Qin, James and Ku, Alexander and Xu, Yuanzhong and Baldridge, Jason and Wu, Yonghui},
  journal={arXiv preprint arXiv:2110.04627},
  year={2021}
}

@article{razavi2019generating,
  title={Generating diverse high-fidelity images with vq-vae-2},
  author={Razavi, Ali and Van den Oord, Aaron and Vinyals, Oriol},
  journal={Advances in neural information processing systems},
  volume={32},
  year={2019}
}

@article{van2017neural,
  title={Neural discrete representation learning},
  author={Van Den Oord, Aaron and Vinyals, Oriol and others},
  journal={Advances in neural information processing systems},
  volume={30},
  year={2017}
}

@inproceedings{tudosiu2022morphology,
  title={Morphology-Preserving Autoregressive 3D Generative Modelling of the Brain},
  author={Tudosiu, Petru-Daniel and Pinaya, Walter Hugo Lopez and Graham, Mark S and Borges, Pedro and Fernandez, Virginia and Yang, Dai and Appleyard, Jeremy and Novati, Guido and Mehra, Disha and Vella, Mike and others},
  booktitle={International Workshop on Simulation and Synthesis in Medical Imaging},
  pages={66--78},
  year={2022},
  organization={Springer}
}

@article{pinaya2023generative,
  title={Generative AI for Medical Imaging: extending the MONAI Framework},
  author={Pinaya, Walter HL and Graham, Mark S and Kerfoot, Eric and Tudosiu, Petru-Daniel and Dafflon, Jessica and Fernandez, Virginia and Sanchez, Pedro and Wolleb, Julia and da Costa, Pedro F and Patel, Ashay and others},
  journal={arXiv preprint arXiv:2307.15208},
  year={2023}
}

@article{dosovitskiy2020image,
  title={An image is worth 16x16 words: Transformers for image recognition at scale},
  author={Dosovitskiy, Alexey and Beyer, Lucas and Kolesnikov, Alexander and Weissenborn, Dirk and Zhai, Xiaohua and Unterthiner, Thomas and Dehghani, Mostafa and Minderer, Matthias and Heigold, Georg and Gelly, Sylvain and others},
  journal={arXiv preprint arXiv:2010.11929},
  year={2020}
}

@inproceedings{lancucki2020robust,
  title={Robust training of vector quantized bottleneck models},
  author={{\L}a{\'n}cucki, Adrian and Chorowski, Jan and Sanchez, Guillaume and Marxer, Ricard and Chen, Nanxin and Dolfing, Hans JGA and Khurana, Sameer and Alum{\"a}e, Tanel and Laurent, Antoine},
  booktitle={2020 International Joint Conference on Neural Networks (IJCNN)},
  pages={1--7},
  year={2020},
  organization={IEEE}
}

@article{han2023medgen3d,
  title={MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation},
  author={Han, Kun and Xiong, Yifeng and You, Chenyu and Khosravi, Pooya and Sun, Shanlin and Yan, Xiangyi and Duncan, James and Xie, Xiaohui},
  journal={arXiv preprint arXiv:2304.04106},
  year={2023}
}

@article{dorjsembe2023conditional,
  title={Conditional Diffusion Models for Semantic 3D Medical Image Synthesis},
  author={Dorjsembe, Zolnamar and Pao, Hsing-Kuo and Odonchimed, Sodtavilan and Xiao, Furen},
  journal={arXiv preprint arXiv:2305.18453},
  year={2023}
}

@inproceedings{dorjsembe2022three,
  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{kingma2014adam,
  title={Adam: A method for stochastic optimization},
  author={Kingma, Diederik P and Ba, Jimmy},
  journal={arXiv preprint arXiv:1412.6980},
  year={2014}
}

@article{ghiasi2018dropblock,
  title={Dropblock: A regularization method for convolutional networks},
  author={Ghiasi, Golnaz and Lin, Tsung-Yi and Le, Quoc V},
  journal={Advances in neural information processing systems},
  volume={31},
  year={2018}
}

@article{peng2022beit,
  title={Beit v2: Masked image modeling with vector-quantized visual tokenizers},
  author={Peng, Zhiliang and Dong, Li and Bao, Hangbo and Ye, Qixiang and Wei, Furu},
  journal={arXiv preprint arXiv:2208.06366},
  year={2022}
}

@article{liu20223d,
  title={3d brain and heart volume generative models: A survey},
  author={Liu, Yanbin and Dwivedi, Girish and Boussaid, Farid and Bennamoun, Mohammed},
  journal={ACM Computing Surveys},
  year={2022},
  publisher={ACM New York, NY}
}

@article{zhou2023generating,
  title={Generating 3D Brain Tumor Regions in MRI using Vector-Quantization Generative Adversarial Networks},
  author={Zhou, Meng and Wagner, Matthias W and Tabori, Uri and Hawkins, Cynthia and Ertl-Wagner, Birgit B and Khalvati, Farzad},
  journal={arXiv preprint arXiv:2310.01251},
  year={2023}
}

@inproceedings{wu2018group,
  title={Group normalization},
  author={Wu, Yuxin and He, Kaiming},
  booktitle={Proceedings of the European conference on computer vision (ECCV)},
  pages={3--19},
  year={2018}
}

@article{sun2020adversarial,
  title={An adversarial learning approach to medical image synthesis for lesion detection},
  author={Sun, Liyan and Wang, Jiexiang and Huang, Yue and Ding, Xinghao and Greenspan, Hayit and Paisley, John},
  journal={IEEE journal of biomedical and health informatics},
  volume={24},
  number={8},
  pages={2303--2314},
  year={2020},
  publisher={IEEE}
}

@article{xia2020pseudo,
  title={Pseudo-healthy synthesis with pathology disentanglement and adversarial learning},
  author={Xia, Tian and Chartsias, Agisilaos and Tsaftaris, Sotirios A},
  journal={Medical Image Analysis},
  volume={64},
  pages={101719},
  year={2020},
  publisher={Elsevier}
}

@inproceedings{sanchez2022healthy,
  title={What is healthy? generative counterfactual diffusion for lesion localization},
  author={Sanchez, Pedro and Kascenas, Antanas and Liu, Xiao and O’Neil, Alison Q and Tsaftaris, Sotirios A},
  booktitle={MICCAI Workshop on Deep Generative Models},
  pages={34--44},
  year={2022},
  organization={Springer}
}

@article{srinivasan2023grade,
  title={Grade Classification of Tumors from Brain Magnetic Resonance Images Using a Deep Learning Technique},
  author={Srinivasan, Saravanan and Bai, Prabin Selvestar Mercy and Mathivanan, Sandeep Kumar and Muthukumaran, Venkatesan and Babu, Jyothi Chinna and Vilcekova, Lucia},
  journal={Diagnostics},
  volume={13},
  number={6},
  pages={1153},
  year={2023},
  publisher={MDPI}
}

@article{chen2019med3d,
  title={Med3d: Transfer learning for 3d medical image analysis},
  author={Chen, Sihong and Ma, Kai and Zheng, Yefeng},
  journal={arXiv preprint arXiv:1904.00625},
  year={2019}
}