@String(PAMI = {IEEE Trans. Pattern Anal. Mach. Intell.})
@String(IJCV = {Int. J. Comput. Vis.})
@String(CVPR= {IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR)})
@String(ICCV= {Int. Conf. Comput. Vis.})
@String(ECCV= {Eur. Conf. Comput. Vis.})
@String(NIPS= {Adv. Neural Inform. Process. Syst.})
@String(ICPR = {Int. Conf. Pattern Recog.})
@String(BMVC = {Brit. Mach. Vis. Conf.})
@String(TOG = {ACM Trans. Graph.})
@String(TIP  = {IEEE Trans. Image Process.})
@String(TVCG  = {IEEE Trans. Vis. Comput. Graph.})
@String(TMM  = {IEEE Trans. Multimedia})
@String(ACMMM= {ACM Int. Conf. Multimedia})
@String(ICME = {Int. Conf. Multimedia and Expo})
@String(ICASSP=	{ICASSP})
@String(ICIP = {IEEE Int. Conf. Image Process.})
@String(ACCV  = {ACCV})
@String(ICLR = {Int. Conf. Learn. Represent.})
@String(IJCAI = {IJCAI})
@String(PR   = {Pattern Recognition})
@String(AAAI = {AAAI})
@String(CVPRW= {IEEE Conf. Comput. Vis. Pattern Recog. Worksh.})
@String(CSVT = {IEEE Trans. Circuit Syst. Video Technol.})

@String(SPL	= {IEEE Sign. Process. Letters})
@String(VR   = {Vis. Res.})
@String(JOV	 = {J. Vis.})
@String(TVC  = {The Vis. Comput.})
@String(JCST  = {J. Comput. Sci. Tech.})
@String(CGF  = {Comput. Graph. Forum})
@String(CVM = {Computational Visual Media})


@misc{xrayclip,
    title = {A Vision-Language Foundation Model to Enhance Efficiency of Chest {X}-ray Interpretation},
    author = {Chen, Zhihong and Varma, Maya and Xu, Justin and Paschali, Magdalini and Van Veen, Dave and Johnston, Andrew and Youssef, Alaa and Blankemeier, Louis and Bluethgen, Christian and Altmayer, Stephan and others},
    OPTeprinttype = {arXiv},
    OPTeprint = {2401.12208},
    howpublished = {Eprint \href{https://arxiv.org/abs/2401.12208}{arXiv:2401.12208}},
    OPTurl = {https://arxiv.org/abs/2401.12208},
    year = {2024}
}
# ... Valanarasu, Jeya Maria Jose and Muneer, Mohamed Siddig Eltayeb and Reis, Eduardo Pontes and Cohen, Joseph Paul and Olsen, Cameron and Abraham, Tanishq Mathew and Tsai, Emily B. and Beaulieu, Christopher F. and Jitsev, Jenia and Gatidis, Sergios and Delbrouck, Jean-Benoit and Chaudhari, Akshay S. and Langlotz, Curtis P.

@misc{xreal,
    title = {{XReal}: Realistic Anatomy and Pathology-Aware {X}-ray Generation via Controllable Diffusion Model},
    author = {Hashmi, Anees Ur Rehman and Almakky, Ibrahim and Qazi, Mohammad Areeb and Sanjeev, Santosh and Papineni, Vijay Ram and Jagdish, Jagalpathy and Yaqub, Mohammad},
    OPTeprinttype = {arXiv},
    OPTeprint = {2403.09240},
    howpublished = {Eprint \href{https://arxiv.org/abs/2403.09240}{arXiv:2403.09240}},
    OPTurl = {https://arxiv.org/abs/2403.09240},
    year = {2024}
}

@misc{maskmedpaint,
    title = {{MaskMedPaint}: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations},
    author = {Jin, Qixuan and Gerych, Walter and Ghassemi, Marzyeh},
    OPTeprinttype = {arXiv},
    OPTeprint = {2411.10686},
    howpublished = {Eprint \href{https://arxiv.org/abs/2411.10686}{arXiv:2411.10686}},
    OPTurl = {https://arxiv.org/abs/2411.10686},
    year = {2024}
}

@misc{llmcxr,
    title = {{LLM-CXR}: Instruction-finetuned {LLM} for {CXR} image understanding and generation},
    author = {Lee, Suhyeon and Kim, Won Jun and Chang, Jinho and Ye, Jong Chul},
    OPTeprinttype = {arXiv},
    OPTeprint = {2305.11490},
    howpublished = {Eprint \href{https://arxiv.org/abs/2305.11490}{arXiv:2305.11490}},
    OPTurl = {https://arxiv.org/abs/2305.11490},
    year = {2023}
}

@misc{braintumorinpainting,
    title = {Multitask Brain Tumor Inpainting with Diffusion Models: A Methodological Report},
    author = {Rouzrokh, Pouria and Khosravi, Bardia and Faghani, Shahriar and Moassefi, Mana and Vahdati, Sanaz and Erickson, Bradley J.},
    OPTeprinttype = {arXiv},
    OPTeprint = {2210.12113},
    howpublished = {Eprint \href{https://arxiv.org/abs/2210.12113}{arXiv:2210.12113}},
    OPTurl = {https://arxiv.org/abs/2210.12113},
    year = {2023}
}

@misc{c3.1,
    title = {The Big Data Myth: Using Diffusion Models for Dataset Generation to Train Deep Detection Models},
    author = {Voetman, Roy and Aghaei, Maya and Dijkstra, Klaas},
    OPTeprinttype = {arXiv},
    OPTeprint = {2306.09762},
    howpublished = {Eprint \href{https://arxiv.org/abs/2306.09762}{arXiv:2306.09762}},
    OPTurl = {https://arxiv.org/abs/2306.09762},
    year = {2023}
}

@misc{gptoss,
    title = {gpt-oss-120b \& gpt-oss-20b Model Card},
    author = {{OpenAI} and Agarwal, Sandhini and Ahmad, Lama and Ai, Jason and Altman, Sam and Applebaum, Andy and Arbus, Edwin and Arora, Rahul K. and Bai, Yu and Baker, Bowen and Bao, Haiming and others},
    OPTeprinttype = {arXiv},
    OPTeprint = {2508.10925},
    howpublished = {Eprint \href{https://arxiv.org/abs/2508.10925}{arXiv:2508.10925}},
    OPTurl = {https://arxiv.org/abs/2508.10925},
    year = {2025}
}

@misc{mimic1,
    title = {{MIMIC-CXR-JPG}, a large publicly available database of labeled chest radiographs},
    author = {Johnson, Alistair E. W. and Pollard, Tom J. and Greenbaum, Nathaniel R. and Lungren, Matthew P. and Deng, Chih-Ying and Peng, Yifan and Lu, Zhiyong and Mark, Roger G. and Berkowitz, Seth J. and Horng, Steven},
    OPTeprinttype = {arXiv},
    OPTeprint = {1901.07042},
    howpublished = {Eprint \href{https://arxiv.org/abs/1901.07042}{arXiv:1901.07042}},
    OPTurl = {https://arxiv.org/abs/1901.07042},
    year = {2019}
}

@misc{chestxdet10,
    title = {{ChestX-Det10}: Chest {X}-ray Dataset on Detection of Thoracic Abnormalities},
    author = {Liu, Jingyu and Lian, Jie and Yu, Yizhou},
    OPTeprinttype = {arXiv},
    OPTeprint = {2006.10550},
    howpublished = {Eprint \href{https://arxiv.org/abs/2006.10550}{arXiv:2006.10550}},
    OPTurl = {https://arxiv.org/abs/2006.10550},
    year = 2020
}

-----

@article{blendedlatent,
    title= {Blended Latent Diffusion},
    author={Avrahami, Omri and Fried, Ohad and Lischinski, Dani},
    journal = TOG,
    volume = {42},
    number = {4},
    numpages = {11},
    year = {2023},
    publisher = {Association for Computing Machinery}
}

-----

@article{detection_reflacx,
    title = {{REFLACX}, a dataset of reports and eye-tracking data for localization of abnormalities in chest x-rays},
    author = "Bigolin Lanfredi, Ricardo and Zhang, Mingyuan and Auffermann, William F. and Chan, Jessica and Duong, Phuong-Anh T. and Srikumar, Vivek and Drew, Trafton and Schroeder, Joyce D. and Tasdizen, Tolga",
    journal = {Sci. Data},
    volume = {9},
    number = {1},
    pages = {350},
    year = {2022},
}

@article{chestmask1,
    title = {{CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images}},
    author = {Gaggion, Nicol\'as and Mosquera, Candelaria and Mansilla, Lucas and Saidman, Julia Mariel and Aineseder, Martina and Milone, Diego H. and Ferrante, Enzo},
    journal = {Sci. Data},
    volume = {11},
    number = {1},
    pages = {511},
    year = {2024},
}

@article{vindr1,
    title = {{VinDr-CXR}: An open dataset of chest {X}-rays with radiologist's annotations},
    author = {Nguyen, Ha Q. and Lam, Khanh and Le, Linh T. and Pham, Hieu H. and Tran, Dat Q. and Nguyen, Dung B. and Le, Dung D. and Pham, Chi M. and Tong, Hang T. T. and Dinh, Diep H. and others},
    journal = {Sci. Data},
    volume = {9},
    number = {1},
    pages = {429},
    year = {2022}
}
# ... Do, Cuong D. and Doan, Luu T. and Nguyen, Cuong N. and Nguyen, Binh T. and Nguyen, Que V. and Hoang, Au D. and Phan, Hien N. and Nguyen, Anh T. and Ho, Phuong H. and Ngo, Dat T. and Nguyen, Nghia T. and Nguyen, Nhan T. and Dao, Minh and Vu, Van

@article{detection_vindrpcxr,
    title = {{PediCXR}: An open, large-scale chest radiograph dataset for interpretation of common thoracic diseases in children},
    author = {Pham, Hieu H. and Nguyen, Ngoc H. and Tran, Thanh T. and Nguyen, Tuan N. M. and Nguyen, Ha Q.},
    journal = {Sci. Data},
    volume = {10},
    number = {1},
    pages = {240},
    year = {2023}
}

@article{mimic-cxr-1,
    title = {{MIMIC-CXR}, a de-identified publicly available database of chest radiographs with free-text reports},
    author = {Johnson, Alistair E. W. and Pollard, Tom J. and Berkowitz, Seth J. and Greenbaum, Nathaniel R. and Lungren, Matthew P. and Deng, Chih-Ying and Mark, Roger G. and Horng, Steven},
    journal = {Sci. Data},
    volume = {6},
    number = {1},
    pages = {317},
    year = {2019},
}

------

# Computer Vision -- ECCV xxxx

@inproceedings{ms-cxr-1,
    author = {Boecking, Benedikt and Usuyama, Naoto and Bannur, Shruthi and Coelho de Castro, Daniel and Schwaighofer, Anton and Hyland, Stephanie and Wetscherek, Maria and Naumann, Tristan and Nori, Aditya and Alvarez-Valle, Javier and Poon, Hoifung and Oktay, Ozan},
    title = {Making the Most of Text Semantics to Improve Biomedical Vision--Language Processing},
    booktitle = {Computer Vision -- ECCV 2022},
    pages = {1--21},
    year = {2022},
    publisher = {Springer Nature Switzerland},
}

@inproceedings{radedit,
    title = {{RadEdit}: Stress-Testing Biomedical Vision Models via Diffusion Image Editing},
    author = {P\'erez-Garc\'ia, Fernando and Bond-Taylor, Sam and Sanchez, Pedro P. and van Breugel, Boris and Coelho de Castro, Daniel and Sharma, Harshita and Salvatelli, Valentina and Wetscherek, Maria T. A. and Richardson, Hannah and Lungren, Matthew P. and others},
    booktitle = {Computer Vision -- ECCV 2024},
    pages = {358--376},
    year = {2024},
    publisher = {Springer Nature Switzerland},
}
# ... Nori, Aditya and Alvarez-Valle, Javier and Oktay, Ozan and Ilse, Maximilian

-----

#  >= 2021: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
# - : Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

@inproceedings{ldm,
    title = {High-Resolution Image Synthesis With Latent Diffusion Models},
    author = {Rombach, Robin and Blattmann, Andreas and Lorenz, Dominik and Esser, Patrick and Ommer, Bj\"orn},
    booktitle= {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    pages={10684--10695},
    year={2022}
}

@inproceedings{inception,
    title = {Rethinking the Inception Architecture for Computer Vision},
    author = {Szegedy, Christian and Vanhoucke, Vincent and Ioffe, Sergey and Shlens, Jon and Wojna, Zbigniew},
    booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    pages={2818--2826},
    year={2016}
}

@inproceedings{yolo,
    author = {Wang, Chien-Yao and Bochkovskiy, Alexey and Liao, Hong-Yuan Mark},
    title = {{Scaled-YOLOv4}: Scaling Cross Stage Partial Network},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    year = {2021},
    pages = {13029--13038}
}

@inproceedings{detection_NIH,
    author = {Wang, Xiaosong and Peng, Yifan and Lu, Le and Lu, Zhiyong and Bagheri, Mohammadhadi and Summers, Ronald M.},
    title = {{ChestX-ray8}: Hospital-scale Chest {X}-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases},
    booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    pages={2097--2106},
    year = {2017}
}

-----

# Medical Image Computing and Computer Assisted Intervention -- MICCAI xxxx

@inproceedings{hybrid,
    title = {Hybrid Graph Convolutional Neural Networks for Landmark-Based Anatomical Segmentation},
    author = {Gaggion, Nicol\'as and Mansilla, Lucas and Milone, Diego H. and Ferrante, Enzo},
    booktitle = {Medical Image Computing and Computer Assisted Intervention -- MICCAI 2021},
    pages = {600--610},
    year = {2021},
    publisher = {Springer International Publishing},
}

@inproceedings{cxrclip,
	title = {{CXR-CLIP}: Toward Large Scale Chest {X}-ray Language-Image Pre-training},
    author = {You, Kihyun and Gu, Jawook and Ham, Jiyeon and Park, Beomhee and Kim, Jiho and Hong, Eun K. and Baek, Woonhyuk and Roh, Byungseok},
	pages = {101--111},
	booktitle = {Medical Image Computing and Computer Assisted Intervention -- MICCAI 2023},
    year = {2023},
    publisher = {Springer Nature Switzerland},
}

@inproceedings{RLCXR,
    author = {Han, Woojung and Kim, Chanyoung and Ju, Dayun and Shim, Yumin and Hwang, Seong Jae},
    title = {Advancing Text-Driven Chest {X}-Ray Generation with Policy-Based Reinforcement Learning},
    booktitle = {Medical Image Computing and Computer Assisted Intervention -- MICCAI 2024},
    pages = {56--66},
    year = {2024},
    publisher = {Springer Nature Switzerland},
}

-----

# Proceedings of The 5th International Conference on Medical Imaging with Deep Learning
# MIDL

@inproceedings{torch1,
    title = {{TorchXRayVision}: A library of chest {X}-ray datasets and models},
    author = {Cohen, Joseph Paul and Viviano, Joseph D. and Bertin, Paul and Morrison, Paul and Torabian, Parsa and Guarrera, Matteo and Lungren, Matthew P. and Chaudhari, Akshay and Brooks, Rupert and Hashir, Mohammad and Bertrand, Hadrien},
    booktitle = {Proceedings of The 5th International Conference on Medical Imaging with Deep Learning},
    year = {2022},
    pages = {231--249},
    volume = {172},
    publisher = {PMLR},
}

# 2024 IEEE International Symposium on Biomedical Imaging (ISBI)

@inproceedings{chestdiff,
    title = {{Chest-Diffusion}: A Light-Weight Text-to-Image Model for Report-to-{CXR} Generation},
    author = {Huang, Peng and Gao, Xue and Huang, Lihong and Jiao, Jing and Li, Xiaokang and Wang, Yuanyuan and Guo, Yi},
    booktitle = {2024 IEEE International Symposium on Biomedical Imaging (ISBI)},
    pages = {1--5},
    year = {2024},
}

# Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence and Thirty-First Innovative Applications of Artificial Intelligence Conference and Ninth AAAI Symposium on Educational Advances in Artificial Intelligence
# AAAI'19/IAAI'19/EAAI'19

@inproceedings{c21,
    title = {{CheXpert}: a large chest radiograph dataset with uncertainty labels and expert comparison},
    author = {Irvin, Jeremy and Rajpurkar, Pranav and Ko, Michael and Yu, Yifan and Ciurea-Ilcus, Silviana and Chute, Chris and Marklund, Henrik and Haghgoo, Behzad and Ball, Robyn and Shpanskaya, Katie and others},
    booktitle={Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence and Thirty-First Innovative Applications of Artificial Intelligence Conference and Ninth AAAI Symposium on Educational Advances in Artificial Intelligence},
    year = {2019}, 
    numpages = {8},
    publisher = {AAAI Press}
}
# ... Seekins, Jayne and Mong, David A. and Halabi, Safwan S. and Sandberg, Jesse K. and Jones, Ricky and Larson, David B. and Langlotz, Curtis P. and Patel, Bhavik N. and Lungren, Matthew P. and Ng, Andrew Y.

# Advances in Knowledge Discovery and Data Mining
# PAKKD 2023

@inproceedings{cascade,
    author = {Weber, Tobias and Ingrisch, Michael and Bischl, Bernd and R\"ugamer, David},
    title = {Cascaded Latent Diffusion Models for High-Resolution Chest {X}-ray Synthesis},
    booktitle = {Advances in Knowledge Discovery and Data Mining},
    year = {2023},
    publisher= {Springer Nature Switzerland},
    pages = {180--191},
}

----

@article{padchest,
    title = {{PadChest-GR}: A Bilingual Chest {X}-Ray Dataset for Grounded Radiology Report Generation},
    author = {Coelho de Castro, Daniel and Bustos, Aurelia and Bannur, Shruthi and Hyland, Stephanie L. and Bouzid, Kenza and Wetscherek, Maria Teodora and S\'anchez-Valverde, Maria Dolores and Jaques-P\'erez, Lara and P\'erez-Rodr\'iguez, Lourdes and Takeda, Kenji and others},
    journal = {NEJM AI},
    volume = {2},
    number = {7},
    pages = {AIdbp2401120},
    year = {2025},
    publisher = {Massachusetts Medical Society}
}
# ... Salinas-Serrano, Jos\'e Mar\'ia and Alvarez-Valle, Javier and Galant-Herrero, Joaqu\'in and Pertusa, Antonio

# Journal of the Royal Statistical Society: Series B (Statistical Methodology)
@article{botev2017normal,
    title = {The normal law under linear restrictions: simulation and estimation via minimax tilting},
    author = {Botev, Zdravko I.},
    journal = {J. R. Stat. Soc. Ser. B Stat. Methodol.},
    volume = {79},
    number = {1},
    pages = {125--148},
    year = {2017},
}


@article{c71roent,
    title = {A vision–language foundation model for the generation of realistic chest {X}-ray images},
    author={Bluethgen, Christian and Chambon, Pierre and Delbrouck, Jean-Benoit and van der Sluijs, Rogier and Po{\l}acin, Ma{\l}gorzata and Zambrano Chaves, Juan Manuel and Abraham, Tanishq Mathew and Purohit, Shivanshu and Langlotz, Curtis P. and Chaudhari, Akshay S.},
    journal = {Nat. Biomed. Eng.},
    volume = {9},
    number = {4},
    pages = {494--506},
    year = {2025},
    publisher={Nature Publishing Group UK London}
}

@article{cxral14,
    title={A deep-learning-based framework for identifying and localizing multiple abnormalities and assessing cardiomegaly in chest {X}-ray},
    author={Fan, Weijie and Yang, Yi and Qi, Jing and Zhang, Qichuan and Liao, Cuiwei and Wen, Li and Wang, Shuang and Wang, Guangxian and Xia, Yu and Wu, Qihua and others},
    journal = {Nat. Commun.},
    volume = {15},
    number = {1},
    pages = {1347},
    year = {2024},
}

@article{ktena,
    title = {Generative models improve fairness of medical classifiers under distribution shifts},
    author = {Ktena, Ira and Wiles, Olivia and Albuquerque, Isabela and Rebuffi, Sylvestre-Alvise and Tanno, Ryutaro and Roy, Abhijit Guha and Azizi, Shekoofeh and Belgrave, Danielle and Kohli, Pushmeet and Cemgil, Taylan and Karthikesalingam, Alan and Gowal, Sven},
    journal = {Nat. Med.},
    volume = {30},
    number = {4},
    pages = {1166--1173},
    year = {2024},
}

@article{chexlocalize,
    title = {Benchmarking saliency methods for chest {X}-ray interpretation},
    author = {Saporta, Adriel and Gui, Xiaotong and Agrawal, Ashwin and Pareek, Anuj and Truong, Steven Q. H. and Nguyen, Chanh D. T. and Ngo, Van-Doan and Seekins, Jayne and Blankenberg, Francis G. and Ng, Andrew Y. and Lungren, Matthew P. and Rajpurkar, Pranav},
    journal = {Nat. Mach. Intell.},
    year = {2022},
    pages = {867--878},
    volume = {4},
    number = {10},
}

@article{multilabel,
    title = {Multi-label pathology editing of chest {X}-rays with a {C}ontrolled {D}iffusion {M}odel},
    journal = {Med. Image Anal.},
    volume = {103},
    pages = {103584},
    year = {2025},
    author = {Chu, Huan and Qi, Xiaolong and Wang, Huiling and Liang, Yi},
}

@article{diffm_survey,
    author = {Huang, Yi and Huang, Jiancheng and Liu, Yifan and Yan, Mingfu and Lv, Jiaxi and Liu, Jianzhuang and Xiong, Wei and Zhang, He and Cao, Liangliang and Chen, Shifeng},
    journal = {IEEE Trans. Pattern Anal. Mach. Intell.}, 
    title = {Diffusion Model-Based Image Editing: A Survey}, 
    year = {2025},
    volume = {47},
    number = {6},
    pages = {4409--4437},
}

@article{PhysioNet,
    author = {Goldberger, Ary L. and Amaral, Luis A. N. and Glass, Leon and Hausdorff, Jeffrey M. and Ivanov, Plamen Ch. and Mark, Roger G. and Mietus, Joseph E. and Moody, George B. and Peng, Chung-Kang and Stanley, H. Eugene },
    title = {{PhysioBank, PhysioToolkit, and PhysioNet}: Components of a new research resource for complex physiologic signals},
    journal = {Circulation},
    year = {2000},
    volume = {101},
    number = {23},
    pages = {e215--e220},
}

@article{mimicrepo,
    title = {{The MIMIC Code Repository}: enabling reproducibility in critical care research},
    author = {Johnson, Alistair E. W. and Stone, David J. and Celi, Leo A. and Pollard, Tom J.},
    journal = {J. Am. Med. Inform. Assoc.},
    volume = {25},
    number = {1},
    pages = {32--39},
    year = {2018},
    publisher = {Oxford University Press},
}

@article{c3.0c4.0,
    title = {Synthetically enhanced: unveiling synthetic data's potential in medical imaging research},
    author = {Khosravi, Bardia and Li, Frank and Dapamede, Theo and Rouzrokh, Pouria and Gamble, Cooper U. and Trivedi, Hari M. and Wyles, Cody C. and Sellergren, Andrew B. and Purkayastha, Saptarshi and Erickson, Bradley J. and Gichoya, Judy W.},
    journal = {eBioMedicine},
    volume = {104},
    year = {2024},
    publisher = {Elsevier}
} 

@article{seganatomy,
    title = {Deep architectures for high-resolution multi-organ chest {X}-ray image segmentation},
    author = {G\'omez, Oscar and Mesejo, Pablo and Ib\'a\~nez, Oscar and Valsecchi, Andrea and Cord\'on, Oscar},
    journal = {Neural Comput. \& Applic.},
    volume = {32},
    number = {20},
    year = {2020},
    pages = {15949--15963}
}

-----

@misc{truncate,
    author = {Brunzema, Paul and Kim, Jungtaek},
    title = {Efficient sampling from the truncated {MVN}},
    year = {2021},
    publisher = {GitHub},
    journal = {GitHub repository},
    howpublished = {\url{https://github.com/brunzema/truncated-mvn-sampler}},
}

@misc{c12,
    author = {{Mayo Clinic}},
    title = {{Chest X-rays}},
    year = {2024},
    howpublished = {\url{https://www.mayoclinic.org/tests-procedures/chest-x-rays/about/pac-20393494}},
}

@misc{yolov8_ultralytics,
    author = {Jocher, Glenn and Chaurasia, Ayush and Qiu, Jing},
    title = {{Ultralytics YOLOv8}},
    year = {2023},
    version = {8.0.0},
    publisher = {GitHub},
    journal = {GitHub repository},
    howpublished = {\url{https://github.com/ultralytics/ultralytics}},
    orcid = {0000-0001-5950-6979, 0000-0002-7603-6750, 0000-0003-3783-7069},
    license = {AGPL-3.0}
}

@misc{yolo11_ultralytics,
    author = {Jocher, Glenn and Qiu, Jing},
    title = {{Ultralytics YOLO11}},
    version = {11.0.0},
    year = {2024},
    publisher = {GitHub},
    journal = {GitHub repository},
    howpublished = {\url{https://github.com/ultralytics/ultralytics}},
    orcid = {0000-0001-5950-6979, 0000-0003-3783-7069},
    license = {AGPL-3.0}
}

@misc{mimiccode,
    author = {Johnson, Alistair E. W. and Pollard, Tom J. and Blundell, Jim and Gow, Brian and {erinhong} and Paris, Nicolas and {shu98} and {JackieMe} and Dang, Kien and Zhang, Angus and others},
    title = {{MIT-LCP/mimic-code: MIMIC Code v2.2.1 (v2.2.1)}},
    year = {2022},
    howpublished = {Zenodo. \url{https://doi.org/10.5281/zenodo.6818823}},
}
# ... Carlson, Eric and Zhao, Qinyu and {etheleon} and Barros, Andrew and {a-chahin} and Bulgarelli, Lucas and {Hans0124SG} and Szolovits, Peter and Hao, Sicheng and Cosgriff, C. V. and {Sravan R.} and Ward, Thomas M. and {alexmbennett2} and Hao, Bibo and {cx1111} and {emilyva} and Andreotti, Fernando and Hussain, Ishrar and Wiggins, James and Gieringer, Josh

@misc{ensemble,
    author = {Nikita Vinokurov},
    title = {{VinBigData Chest X-ray Abnormalities Detection}},
    year = {2021},
    publisher = {GitHub},
    journal = {GitHub repository},
    howpublished = {\url{https://github.com/Beaver48/kaggle-vinbigdata}}},
}

@misc{diffusers,
    author = {von Platen, Patrick and Patil, Suraj and Lozhkov, Anton and Cuenca, Pedro and Lambert, Nathan and Rasul, Kashif and Davaadorj, Mishig and Nair, Dhruv and Paul, Sayak and Berman, William and others},
    title = {{Diffusers: State-of-the-art diffusion models}},
    year = {2022},
    publisher = {GitHub},
    journal = {GitHub repository},
    howpublished = {\url{https://github.com/huggingface/diffusers}}},
}
# ... Xu, Yiyi and Liu, Steven and Wolf, Thomas

-----

@article{ms-cxr-2,
  author = {Boecking, Benedikt and Usuyama, Naoto and Bannur, Shruthi and {Coelho de Castro}, Daniel and Schwaighofer, Anton and Hyland, Stephanie and Sharma, Harshita and Wetscherek, Maria Teodora and Naumann, Tristan and Nori, Aditya and others},
  title = {{MS-CXR: Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing}},
  journal = {{PhysioNet}},
  year = {2022},
  note = {Version 0.1},
}
# ... Alvarez-Valle, Javier and Poon, Hoifung and Oktay, Ozan

@article{chestmask2,
    author = {Gaggion, Nicol\'as and Mosquera, Candelaria and Aineseder, Martina and Mansilla, Lucas and Milone,  Diego H. and Ferrante, Enzo},
    title = {{CheXmask Database}: a large-scale dataset of anatomical segmentation masks for chest x-ray images},
    journal = {PhysioNet},
    year = {2024},
    note = {Version 0.4},
}

@article{mimic-cxr-2,
    title = {{MIMIC-CXR Database}},
    author = {Johnson, Alistair E. W. and Pollard, Tom J. and Mark, Roger G. and Berkowitz, Seth J. and Horng, Steven},
    journal = {PhysioNet},
    year = {2019},
    note = {Version 2.0.0},
}

@article{mimic2,
    author = {Johnson, Alistair E. W. and Lungren, Matthew P. and Peng, Yifan and Lu, Zhiyong and Mark, Roger G. and Berkowitz, Seth J. and Horng, Steven},
    title = {{MIMIC-CXR-JPG - chest radiographs with structured labels}},
    journal = {PhysioNet},
    year = {2024},
    note = {Version 2.1.0}
}

@article{vindr2,
    author = {Nguyen, Ha Q. and Pham, Hieu H. and Le, Linh T. and Dao, Minh and Lam, Khanh},
    title = {{VinDr-CXR: An open dataset of chest X-rays with radiologist annotations}},
    journal = {PhysioNet},
    year = {2021},
    note = {Version 1.0.0}
}

@article{imagen,
    author = {Wu, Joy and Agu, Nkechinyere and Lourentzou, Ismini and Sharma, Arjun and Paguio, Joseph and Yao, Jasper Seth and Dee, Edward Christopher and Mitchell, William and Kashyap, Satyananda and Giovannini, Andrea and others},
    title = {{Chest ImaGenome Dataset}},
    journal = {{PhysioNet}},
    year = {2021},
    note = {Version 1.0.0},
}
# ... Celi, Leo Anthony and Syeda-Mahmood, Tanveer and Moradi, Mehdi
