@article{eschweiler2024denoising,
  title={Denoising diffusion probabilistic models for generation of realistic fully-annotated microscopy image datasets},
  author={Eschweiler, Dennis and Yilmaz, R{\"u}veyda and Baumann, Matisse and Laube, Ina and Roy, Rijo and Jose, Abin and Br{\"u}ckner, Daniel and Stegmaier, Johannes},
  journal={PLOS Computational Biology},
  volume={20},
  number={2},
  pages={e1011890},
  year={2024},
}

## Microscopy
@inproceedings{yilmaz2024annotated,
  title={Annotated biomedical video generation using denoising diffusion probabilistic models and flow fields},
  author={Yilmaz, R{\"u}veyda and Eschweiler, Dennis and Stegmaier, Johannes},
  booktitle={International Workshop on Simulation and Synthesis in Medical Imaging},
  pages={197--207},
  year={2024},
}

@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}
}


@inproceedings{wu2024retinal,
  title={Retinal {OCT} synthesis with denoising diffusion probabilistic models for layer segmentation},
  author={Wu, Yuli and He, Weidong and Eschweiler, Dennis and Dou, Ningxin and Fan, Zixin and Mi, Shengli and Walter, Peter and Stegmaier, Johannes},
  booktitle={IEEE International Symposium on Biomedical Imaging},
  pages={1--5},
  year={2024}
}

# Datasets
@inproceedings{fang2022dataset,
  title={Dataset and evaluation algorithm design for {GOALS} challenge},
  author={Fang, Huihui and Li, Fei and Fu, Huazhu and Wu, Junde and Zhang, Xiulan and Xu, Yanwu},
  booktitle={International Workshop on Ophthalmic Medical Image Analysis},
  pages={135--142},
  year={2022}
}

@inproceedings{ronneberger2015u,
  title={U-net: Convolutional networks for biomedical image segmentation},
  author={Ronneberger, Olaf and Fischer, Philipp and Brox, Thomas},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={234--241},
  year={2015}
}

@article{heusel2017gans,
  title={{GAN}s trained by a two time-scale update rule converge to a local {N}ash equilibrium},
  author={Heusel, Martin and Ramsauer, Hubert and Unterthiner, Thomas and Nessler, Bernhard and Hochreiter, Sepp},
  journal={Advances in Neural Information Processing Systems},
  pages = {6626--6637},
  volume={30},
  year={2017}
}

@inproceedings{szegedy2016rethinking,
  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},
  pages={2818--2826},
  year={2016}
}


@article{zhou2023foundation,
  title={A foundation model for generalizable disease detection from retinal images},
  author={Zhou, Yukun and Chia, Mark A. and Wagner, Siegfried K. and Ayhan, Murat S. and Williamson, Dominic J. and Struyven, Robbert R. and Liu, Timing and Xu, Moucheng and Lozano, Mateo G. and Woodward-Court, Peter and  Kihara, Yuka and UK Biobank Eye \& Vision Consortium and Altmann, Andre  and Lee, Aaron Y.  and Topol, Eric J.  and Denniston, Alastair K.  and Alexander, Daniel C.  and Keane, Pearse A. },
  journal={Nature},
  volume={622},
  number={7981},
  pages={156--163},
  year={2023}
}

# Clean FID
@inproceedings{parmar2022aliased,
  title={On aliased resizing and surprising subtleties in {GAN} evaluation},
  author={Parmar, Gaurav and Zhang, Richard and Zhu, Jun-Yan},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages={11410--11420},
  year={2022}
}


# KID
@inproceedings{
    binkowski2018demystifying,
    title={Demystifying {MMD} {GAN}s},
author={Bi\'{n}kowski, Miko{\l}aj and Sutherland, Dougal J. and Arbel, Michael and Gretton, Arthur},
booktitle={International Conference on Learning Representations},
    year={2018},
}

# MMD

@article{gretton2006kernel,
  title={A kernel method for the two-sample-problem},
  author={Gretton, Arthur and Borgwardt, Karsten and Rasch, Malte and Sch{\"o}lkopf, Bernhard and Smola, Alex},
  journal={Advances in Neural Information Processing Systems},
  pages = {513--520},  
  volume={19},
  year={2006}
}




@article{mei2022radimagenet,
  title={{RadImageNet}: An open radiologic deep learning research dataset for effective transfer learning},
  author={Mei, Xueyan and Liu, Zelong and Robson, Philip M. and Marinelli, Brett and Huang, Mingqian and Doshi, Amish and Jacobi, Adam and Cao, Chendi and Link, Katherine E. and Yang, Thomas and Wang, Ying and Greenspan, Hayit and Deyer, Timothy and Fayad, Zahi A. and Yang, Yang},
  journal={Radiology: Artificial Intelligence},
  volume={4},
  number={5},
  pages={e210315},
  year={2022}
}



@inproceedings{woodland2024feature,
  title={Feature extraction for generative medical imaging evaluation: New evidence against an evolving trend},
  author={Woodland, McKell and Castelo, Austin and Al Taie, Mais and Albuquerque Marques Silva, Jessica and Eltaher, Mohamed and Mohn, Frank and Shieh, Alexander and Kundu, Suprateek and Yung, Joshua P. and Patel, Ankit B. and Brock, Kristy K. },
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={87--97},
  year={2024}
}


@article{muller2023multimodal,
  title={A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image synthesis},
  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 Nolte, Teresa and Nebelung, Sven and Kather, Jakob Nikolas and Truhn, Daniel },
  journal={Scientific Reports},
  volume={13},
  number={1},
  pages={12098},
  year={2023}
}

@inproceedings{
    song2021denoising,
    title={Denoising diffusion implicit models},
author={Song, Jiaming and Meng, Chenlin and Ermon, Stefano},
booktitle={International Conference on Learning Representations},
    year={2021},
}



@article{goodfellow2014generative,
  title={Generative adversarial nets},
  author={Goodfellow, Ian J. and Pouget-Abadie, Jean and Mirza, Mehdi and Xu, Bing and Warde-Farley, David and Ozair, Sherjil and Courville, Aaron and Bengio, Yoshua},
  journal={Advances in Neural Information Processing Systems},
  volume={27},
  pages = {2672--2680},
  year={2014}
}


@article{de2023airogs,
  title={{AIROGS}: Artificial intelligence for robust glaucoma screening challenge},
author={De Vente, Coen and Vermeer, Koenraad A. and Jaccard, Nicolas and Wang, He and Sun, Hongyi and Khader, Firas and Truhn, Daniel and Aimyshev, Temirgali and Zhanibekuly, Yerkebulan and Le, Tien-Dung and Galdran, Adrian and Ballester, Miguel {\'A}ngel Gonz{\'a}lez and Carneiro, Gustavo and Devika, R. G. and Sethumadhavan, Hrishikesh Panikkasseril and Puthussery, Densen and Liu, Hong and Yang, Zekang and Kondo, Satoshi and Kasai, Satoshi and Wang, Edward and Durvasula, Ashritha and Heras, J{\'o}nathan and Zapata, Miguel {\'A}ngel and Ara{\'u}jo, Teresa and Aresta, Guilherme and Bogunovi{\'c}, Hrvoje and Arikan, Mustafa and Lee, Yeong Chan and Cho, Hyun Bin and Choi, Yoon Ho and Qayyum, Abdul and Razzak, Imran and van Ginneken, Bram and Lemij, Hans G. and S{\'a}nchez, Clara I.},
  journal={IEEE Transactions on Medical Imaging},
  volume={43},
  number={1},
  pages={542--557},
  year={2023}
}

@article{karras2021alias,
  title={Alias-free generative adversarial networks},
  author={Karras, Tero and Aittala, Miika and Laine, Samuli and H{\"a}rk{\"o}nen, Erik and Hellsten, Janne and Lehtinen, Jaakko and Aila, Timo},
  journal={Advances in Neural Information Processing Systems},
  volume={34},
  pages={852--863},
  year={2021}
}

@article{
jiralerspong2023feature,
  title={Feature likelihood divergence: Evaluating the generalization of generative models using samples},
  author={Jiralerspong, Marco and Bose, Joey and Gemp, Ian and Qin, Chongli and Bachrach, Yoram and Gidel, Gauthier},
journal={Advances in Neural Information Processing Systems},
  volume={36},
pages={33095--33119},
year={2023}
}

@inproceedings{luzi2023evaluating,
  title={Evaluating generative networks using {G}aussian mixtures of image features},
  author={Luzi, Lorenzo and Marrero, Carlos Ortiz and Wynar, Nile and Baraniuk, Richard G. and Henry, Michael J.},
  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
  pages={279--288},
  year={2023}
}

@article{cafd2018,
  title        = {An improved evaluation framework for generative adversarial networks},
  author       = {Liu, Shaohui and Wei, Yi and Lu, Jiwen and Zhou, Jie},
  Journal      = {arXiv preprint arXiv:1803.07474},
  year         = {2018},
}

@inproceedings{jayasumana2024rethinking,
  title={Rethinking {FID}: Towards a better evaluation metric for image generation},
  author={Jayasumana, Sadeep and Ramalingam, Srikumar and Veit, Andreas and Glasner, Daniel and Chakrabarti, Ayan and Kumar, Sanjiv},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={9307--9315},
  year={2024}
}

@inproceedings{chong2020effectively,
  title={Effectively unbiased {FID} and inception score and where to find them},
  author={Chong, Min Jin and Forsyth, David},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={6070--6079},
  year={2020}
}


@inproceedings{he2016deep,
  title={Deep residual learning for image recognition},
  author={He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={770--778},
  year={2016}
}

@inproceedings{liu2021swin,
  title={Swin {T}ransformer: Hierarchical vision transformer using shifted windows},
  author={Liu, Ze and Lin, Yutong and Cao, Yue and Hu, Han and Wei, Yixuan and Zhang, Zheng and Lin, Stephen and Guo, Baining},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={10012--10022},
  year={2021}
}




@article{salimans2016improved,
  title={Improved techniques for training {GAN}s},
author={Salimans, Tim and Goodfellow, Ian and Zaremba, Wojciech and Cheung, Vicki and Radford, Alec and Chen, Xi},
    journal={Advances in Neural Information Processing Systems},
  pages={2234--2242},
  volume={29},
  year={2016}
}

@inproceedings{theis2016note,
  title={A note on the evaluation of generative models},
author={Theis, Lucas and van den Oord, A\"aron and Bethge, Matthias},
  booktitle={International Conference on Learning Representations},
  year={2016}
}


@article{buzuti2023frechet,
  title={Fr{\'e}chet {A}uto{E}ncoder distance: a new approach for evaluation of generative adversarial networks},
  author={Buzuti, Lucas F. and Thomaz, Carlos E.},
  journal={Computer Vision and Image Understanding},
  volume={235},
  pages={103768},
  year={2023}
}

@article{frechet1957distance,
  title={Sur la distance de deux lois de probabilit{\'e}},
  author={Fr{\'e}chet, Maurice},
  journal={Annales de l'ISUP},
  volume={6},
  number={3},
  pages={183--198},
  year={1957}
}

@article{dowson1982frechet,
  title={The {Fr{\'e}chet} distance between multivariate normal distributions},
  author={Dowson, D. C. and Landau, B. V.},
  journal={Journal of Multivariate Analysis},
  volume={12},
  number={3},
  pages={450--455},
  year={1982},
}



@article{dumont2021overcoming,
  title={Overcoming barriers to data sharing with medical image generation: a comprehensive evaluation},
  author={DuMont Sch{\"u}tte, August and Hetzel, J{\"u}rgen and Gatidis, Sergios and Hepp, Tobias and Dietz, Benedikt and Bauer, Stefan and Schwab, Patrick},
  journal={npj Digital Medicine},
  volume={4},
  number={1},
  pages={141},
  year={2021}
}


@article{
    oquab2024dinov,
    title={{DINO}v2: Learning robust visual features without supervision},
  author={Oquab, Maxime and Darcet, Timoth{\'e}e and Moutakanni, Th{\'e}o and Vo, Huy and Szafraniec, Marc and Khalidov, Vasil and Fernandez, Pierre and Haziza, Daniel and Massa, Francisco and El-Nouby, Alaaeldin and Mido Assran and Nicolas Ballas and Wojciech Galuba and Russell Howes and Po-Yao Huang and Shang-Wen Li and Ishan Misra and Michael Rabbat and Vasu Sharma and Gabriel Synnaeve and Hu Xu and Herve Jegou and Julien Mairal and Patrick Labatut and Armand Joulin and Piotr Bojanowski},
    journal={Transactions on Machine Learning Research},
    year={2024},
}


@inproceedings{radford2021learning,
  title={Learning transferable visual models from natural language supervision},
  author={Radford, Alec and Kim, Jong Wook and Hallacy, Chris and Ramesh, Aditya and Goh, Gabriel and Agarwal, Sandhini and Sastry, Girish and Askell, Amanda and Mishkin, Pamela and Clark, Jack and Krueger, Gretchen  and Sutskever, Ilya },
  booktitle={International Conference on Machine Learning},
  pages={8748--8763},
  year={2021},
}



@inproceedings{alaa2022faithful,
  title={How faithful is your synthetic data? {S}ample-level metrics for evaluating and auditing generative models},
  author={Alaa, Ahmed and Van Breugel, Boris and Saveliev, Evgeny S. and Van Der Schaar, Mihaela},
  booktitle={International Conference on Machine Learning},
  pages={290--306},
  year={2022},
}


@inproceedings{zhang2018unreasonable,
  title={The unreasonable effectiveness of deep features as a perceptual metric},
  author={Zhang, Richard and Isola, Phillip and Efros, Alexei A. and Shechtman, Eli and Wang, Oliver},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages={586--595},
  year={2018}
}

@article{qin2020u2,
  title={{U2-Net}: Going deeper with nested {U}-structure for salient object detection},
  author={Qin, Xuebin and Zhang, Zichen and Huang, Chenyang and Dehghan, Masood and Zaiane, Osmar R. and Jagersand, Martin},
  journal={Pattern Recognition},
  volume={106},
  pages={107404},
  year={2020},
}


@article{wang2004image,
  title={Image quality assessment: from error visibility to structural similarity},
  author={Wang, Zhou and Bovik, Alan C. and Sheikh, Hamid R. and Simoncelli, Eero P.},
  journal={IEEE Transactions on Image Processing},
  volume={13},
  number={4},
  pages={600--612},
  year={2004},
}


@article{han2020breaking,
  title={Breaking medical data sharing boundaries by using synthesized radiographs},
  author={Han, Tianyu and Nebelung, Sven and Haarburger, Christoph and Horst, Nicolas and Reinartz, Sebastian and Merhof, Dorit and Kiessling, Fabian and Schulz, Volkmar and Truhn, Daniel},
  journal={Science Advances},
  volume={6},
  number={49},
  pages={eabb7973},
  year={2020}
}

@article{khader2023denoising,
  title={Denoising diffusion probabilistic models for {3D} medical image generation},
  author={Khader, Firas and M{\"u}ller-Franzes, Gustav and Tayebi Arasteh, Soroosh and Han, Tianyu and Haarburger, Christoph and Schulze-Hagen, Maximilian and Schad, Philipp and Engelhardt, Sandy and Bae{\ss}ler, Bettina and Foersch, Sebastian and Stegmaier, Johannes and Kuhl, Christiane  and Nebelung, Sven  and Kather, Jakob Nikolas  and Truhn, Daniel },
  journal={Scientific Reports},
  volume={13},
  number={1},
  pages={7303},
  year={2023}
}

@inproceedings{yilmaz2024cascaded,
  title={Cascaded diffusion models for {2D} and {3D} microscopy image synthesis to enhance cell segmentation},
  author={Yilmaz, R{\"u}veyda and Keven, Kaan and Wu, Yuli and Stegmaier, Johannes},
  booktitle={IEEE 22nd International Symposium on Biomedical Imaging},
  pages={1--5},
  year={2025}
}

@inproceedings{park2019semantic,
  title={Semantic image synthesis with spatially-adaptive normalization},
  author={Park, Taesung and Liu, Ming-Yu and Wang, Ting-Chun and Zhu, Jun-Yan},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages={2337--2346},
  year={2019}
}

@article{chen2024transunet,
  title={{TransUNet}: Rethinking the {U-Net} architecture design for medical image segmentation through the lens of transformers},
  author={Chen, Jieneng and Mei, Jieru and Li, Xianhang and Lu, Yongyi and Yu, Qihang and Wei, Qingyue and Luo, Xiangde and Xie, Yutong and Adeli, Ehsan and Wang, Yan and Lungren, Matthew P.  and Zhang, Shaoting  and Xing, Lei  and Lu, Le  and Yuille, Alan  and Zhou, Yuyin },
  journal={Medical Image Analysis},
  volume={97},
  pages={103280},
  year={2024}
}

@inproceedings{zhang2023adding,
  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}
}

@article{vaserstein1969markov,
  title={Markov processes over denumerable products of spaces, describing large systems of automata},
  author={Vaserstein, Leonid Nisonovich},
  journal={Problemy Peredachi Informatsii},
  volume={5},
  number={3},
  pages={64--72},
  year={1969}
}


@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}
}

@article{konz2024fr,
  title={Fr{\'e}chet Radiomic Distance ({FRD}): A versatile metric for comparing medical imaging datasets},
  author={Konz, Nicholas and Osuala, Richard and Verma, Preeti and Chen, Yuwen and Gu, Hanxue and Dong, Haoyu and Chen, Yaqian and Marshall, Andrew and Garrucho, Lidia and Kushibar, Kaisar and Daniel M. Lang and Gene S. Kim and Lars J. Grimm and John M. Lewin and James S. Duncan and Julia A. Schnabel and Oliver Diaz and Karim Lekadir and Maciej A. Mazurowski},
  journal={arXiv preprint arXiv:2412.01496},
  year={2024}
}

@article{caron2020unsupervised,
  title={Unsupervised learning of visual features by contrasting cluster assignments},
  author={Caron, Mathilde and Misra, Ishan and Mairal, Julien and Goyal, Priya and Bojanowski, Piotr and Joulin, Armand},
  journal={Advances in Neural Information Processing Systems},
  volume={33},
  pages={9912--9924},
  year={2020}
}


@article{van2017neural,
  title={Neural discrete representation learning},
  author={{v}an {d}en Oord, Aaron and Vinyals, Oriol and Kavukcuoglu, Koray},
  journal={Advances in Neural Information Processing Systems},
  volume={30},
  pages={6309--6318},
  year={2017}
}


@article{peyre2019computational,
  title={Computational optimal transport: With applications to data science},
  author={Peyr{\'e}, Gabriel and Cuturi, Marco},
  journal={Foundations and Trends{\textregistered} in Machine Learning},
  volume={11},
  number={5-6},
  pages={355--607},
  year={2019}
}

@inproceedings{rombach2022high,
  title={High-resolution image synthesis with latent diffusion models},
  author={Rombach, Robin and Blattmann, Andreas and Lorenz, Dominik and Esser, Patrick and Ommer, Bj{\"o}rn},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={10684--10695},
  year={2022}
}

@inproceedings{deng2009imagenet,
  title={{ImageNet}: A large-scale hierarchical image database},
  author={Deng, Jia and Dong, Wei and Socher, Richard and Li, Li-Jia and Li, Kai and Fei-Fei, Li},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages={248--255},
  year={2009},
}

@inproceedings{
konz2024rethinking,
title={Rethinking perceptual metrics for medical image translation},
author={Konz, Nicholas and Chen, Yuwen and Gu, Hanxue and Dong, Haoyu and Mazurowski, Maciej A.},
booktitle={Medical Imaging with Deep Learning},
year={2024},
}

@article{wu2023gamma,
  title={{GAMMA} challenge: {G}laucoma grading from multi-modality images},
  journal = {Medical Image Analysis},
author={
Wu, Junde and
Fang, Huihui and
Li, Fei and
Fu, Huazhu and
Lin, Fengbin and
Li, Jiongcheng and
Huang, Lexing and
Yu, Qinji and
Song, Sifan and
Xu, Xinxing and
Xu, Yanyu and
Wang, Wensai and
Wang, Lingxiao and
Lu, Shuai and
Li, Huiqi and
Huang, Shihua and
Lu, Zhichao and
Ou, Chubin and
Wei, Xifei and
Liu, Bingyuan and
Kobbi, Riadh and
Tang, Xiaoying and
Lin, Li and
Zhou, Qiang and
Hu, Qiang and
Bogunovic, Hrvoje and
Orlando, Jos{\'e} Ignacio and
Zhang, Xiulan and
Xu, Yanwu
},
  volume={90},
  page={102938},
  year={2023},
  publisher={Elsevier}
}

@article{ilanchezian2025development,
  title={Development and validation of an AI algorithm to generate realistic and meaningful counterfactuals for retinal imaging based on diffusion models},
  author={Ilanchezian, Indu and Boreiko, Valentyn and K{\"u}hlewein, Laura and Huang, Ziwei and Se{\c{c}}kin Ayhan, Murat and Hein, Matthias and Koch, Lisa and Berens, Philipp},
  journal={PLOS Digital Health},
  volume={4},
  number={5},
  pages={e0000853},
  year={2025},
  publisher={Public Library of Science San Francisco, CA USA}
}

@ARTICLE{huang2024diverse,
  author={Huang, Kun and Ma, Xiao and Zhang, Zetian and Zhang, Yuhan and Yuan, Songtao and Fu, Huazhu and Chen, Qiang},
  journal={IEEE Transactions on Medical Imaging}, 
  title={Diverse data generation for retinal layer segmentation with potential structure modeling}, 
  year={2024},
  volume={43},
  number={10},
  pages={3584--3595},
  doi={10.1109/TMI.2024.3384484}}


@article{hou2023high,
author = {Hou, Benjamin },
journal = {Biomedical Optics Express},
number = {2},
pages = {533--549},
publisher = {Optica Publishing Group},
title = {High-fidelity diabetic retina fundus image synthesis from freestyle lesion maps},
volume = {14},
year = {2023},
doi = {10.1364/BOE.477906},}


@article{muller2025disentangling,
  title={Disentangling representations of retinal images with generative models},
  author={M{\"u}ller, Sarah and Koch, Lisa M. and Lensch, Hendrik P. A. and Berens, Philipp},
  journal={Medical Image Analysis},
  pages={103628},
  year={2025},
  publisher={Elsevier}
}


@inproceedings{lang2021explaining,
  title={Explaining in style: Training a GAN to explain a classifier in stylespace},
  author={Lang, Oran and Gandelsman, Yossi and Yarom, Michal and Wald, Yoav and Elidan, Gal and Hassidim, Avinatan and Freeman, William T and Isola, Phillip and Globerson, Amir and Irani, Michal and Mosseri, Inbar },
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={693--702},
  year={2021}
}