@inproceedings{joshi2023metaregnet,
  title={Metaregnet: Metamorphic image registration using flow-driven residual networks},
  author={Joshi, Ankita and Hong, Yi},
  booktitle={International Workshop on Computational Mathematics Modeling in Cancer Analysis},
  pages={160--170},
  year={2023},
  organization={Springer}
}

@article{wang2024scaling,
  title={Scaling Image Tokenizers with Grouped Spherical Quantization},
  author={Wang, Jiangtao and Qin, Zhen and Zhang, Yifan and Hu, Vincent Tao and Ommer, Bj{\"o}rn and Briq, Rania and Kesselheim, Stefan},
  journal={arXiv preprint arXiv:2412.02632},
  year={2024}
}
@inproceedings{kirchmeyer2023convolutional,
  title={Convolutional networks with oriented 1d kernels},
  author={Kirchmeyer, Alexandre and Deng, Jia},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={6222--6232},
  year={2023}
}

@inproceedings{zhu2025addressing,
  title={Addressing representation collapse in vector quantized models with one linear layer},
  author={Zhu, Yongxin and Li, Bocheng and Xin, Yifei and Xia, Zhihua and Xu, Linli},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={22968--22977},
  year={2025}
}
@article{bertrand2025closed,
  title={On the Closed-Form of Flow Matching: Generalization Does Not Arise from Target Stochasticity},
  author={Bertrand, Quentin and Gagneux, Anne and Massias, Mathurin and Emonet, R{\'e}mi},
  journal={arXiv preprint arXiv:2506.03719},
  year={2025}
}

@article{kamb2024analytic,
  title={An analytic theory of creativity in convolutional diffusion models},
  author={Kamb, Mason and Ganguli, Surya},
  journal={arXiv preprint arXiv:2412.20292},
  year={2024}
}

@article{biroli2024dynamical,
  title={Dynamical regimes of diffusion models},
  author={Biroli, Giulio and Bonnaire, Tony and De Bortoli, Valentin and M{\'e}zard, Marc},
  journal={Nature Communications},
  volume={15},
  number={1},
  pages={9957},
  year={2024},
  publisher={Nature Publishing Group UK London}
}

@article{gao2024flow,
  title={How do flow matching models memorize and generalize in sample data subspaces?},
  author={Gao, Weiguo and Li, Ming},
  journal={arXiv preprint arXiv:2410.23594},
  year={2024}
}
@article{scarvelis2023closed,
  title={Closed-form diffusion models},
  author={Scarvelis, Christopher and Borde, Haitz S{\'a}ez de Oc{\'a}riz and Solomon, Justin},
  journal={arXiv preprint arXiv:2310.12395},
  year={2023}
}
@article{li2024good,
  title={A good score does not lead to a good generative model},
  author={Li, Sixu and Chen, Shi and Li, Qin},
  journal={arXiv preprint arXiv:2401.04856},
  year={2024}
}

@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{li2022architecture,
  title={Architecture-agnostic masked image modeling--from vit back to cnn},
  author={Li, Siyuan and Wu, Di and Wu, Fang and Zang, Zelin and Li, Stan and others},
  journal={arXiv preprint arXiv:2205.13943},
  year={2022}
}

@inproceedings{schonfeld2020u,
  title={A u-net based discriminator for generative adversarial networks},
  author={Schonfeld, Edgar and Schiele, Bernt and Khoreva, Anna},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={8207--8216},
  year={2020}
}

@inproceedings{pisov2019incorporating,
  title={Incorporating task-specific structural knowledge into CNNs for brain midline shift detection},
  author={Pisov, Maxim and Goncharov, Mikhail and Kurochkina, Nadezhda and Morozov, Sergey and Gombolevskiy, Victor and Chernina, Valeria and Vladzymyrskyy, Anton and Zamyatina, Ksenia and Chesnokova, Anna and Pronin, Igor and others},
  booktitle={International Workshop on Multimodal Learning for Clinical Decision Support},
  pages={30--38},
  year={2019},
  organization={Springer}
}

@inproceedings{wang2020context,
  title={Context-aware refinement network incorporating structural connectivity prior for brain midline delineation},
  author={Wang, Shen and Liang, Kongming and Li, Yiming and Yu, Yizhou and Wang, Yizhou},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={208--217},
  year={2020},
  organization={Springer}
}



@article{liao2010automatic,
  title={{Automatic recognition of midline shift on brain CT images}},
  author={Liao, Chun-Chih and Xiao, Furen and Wong, Jau-Min and Chiang, I-Jen},
  journal={Computers in biology and medicine},
  volume={40},
  number={3},
  pages={331--339},
  year={2010},
  publisher={Elsevier}
}

@article{liao2018brain,
  title={Brain midline shift measurement and its automation: a review of techniques and algorithms},
  author={Liao, Chun-Chih and Chen, Ya-Fang and Xiao, Furen},
  journal={International journal of biomedical imaging},
  volume={2018},
  number={1},
  pages={4303161},
  year={2018},
  publisher={Wiley Online Library}
}

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

@article{thornton2206rethinking,
  title={Rethinking initialization of the Sinkhorn algorithm, 2022},
  author={Thornton, James and Cuturi, Marco},
  journal={URL https://arxiv. org/abs/2206.07630}
}

@article{zhu2024scaling,
  title={Scaling the codebook size of VQ-GAN to 100,000 with a utilization rate of 99\%},
  author={Zhu, Lei and Wei, Fangyun and Lu, Yanye and Chen, Dong},
  journal={Advances in Neural Information Processing Systems},
  volume={37},
  pages={12612--12635},
  year={2024}
}

@article{wang2021posterior,
  title={Posterior collapse and latent variable non-identifiability},
  author={Wang, Yixin and Blei, David and Cunningham, John P},
  journal={Advances in neural information processing systems},
  volume={34},
  pages={5443--5455},
  year={2021}
}

@article{bengio2013estimating,
  title={Estimating or propagating gradients through stochastic neurons for conditional computation},
  author={Bengio, Yoshua and L{\'e}onard, Nicholas and Courville, Aaron},
  journal={arXiv preprint arXiv:1308.3432},
  year={2013}
}

@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}
}

@article{zhang2024preventing,
  title={Preventing local pitfalls in vector quantization via optimal transport},
  author={Zhang, Borui and Zheng, Wenzhao and Zhou, Jie and Lu, Jiwen},
  journal={arXiv preprint arXiv:2412.15195},
  year={2024}
}

@article{broder2010head,
  title={Head computed tomography interpretation in trauma: a primer},
  author={Broder, Joshua Seth},
  journal={Psychiatric Clinics},
  volume={33},
  number={4},
  pages={821--854},
  year={2010},
  publisher={Elsevier}
}

@misc{chenfm2025,
 title={Weakly-Supervised Midline Shift Quantification through Simulating the Reversed Disease Progression},
 author={Chih-Chieh, Chen and Chang-Fu, Kuo},
 howpublished={MIDL 2025 short paper},
 OPTurl={https://openreview.net/forum?id=y1kZmZ8Bqe#discussion},
 year=2025
}
@inproceedings{irvin2019chexpert,
  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 AAAI conference on artificial intelligence},
  volume={33},
  number={01},
  pages={590--597},
  year={2019}
}

@article{rotemberg2021patient,
  title={A patient-centric dataset of images and metadata for identifying melanomas using clinical context},
  author={Rotemberg, Veronica and Kurtansky, Nicholas and Betz-Stablein, Brigid and Caffery, Liam and Chousakos, Emmanouil and Codella, Noel and Combalia, Marc and Dusza, Stephen and Guitera, Pascale and Gutman, David and others},
  journal={Scientific data},
  volume={8},
  number={1},
  pages={34},
  year={2021},
  publisher={Nature Publishing Group UK London}
}
@inproceedings{peebles2023scalable,
  title={Scalable diffusion models with transformers},
  author={Peebles, William and Xie, Saining},
  booktitle={Proceedings of the IEEE/CVF international conference on computer vision},
  pages={4195--4205},
  year={2023}
}

@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{favero2025conditional,
  title={Conditional Diffusion Models are Medical Image Classifiers that Provide Explainability and Uncertainty for Free},
  author={Favero, Gian Mario and Saremi, Parham and Kaczmarek, Emily and Nichyporuk, Brennan and Arbel, Tal},
  booktitle={Medical Imaging with Deep Learning},
  year={2025}
}

@inproceedings{li2023your,
  title={Your diffusion model is secretly a zero-shot classifier},
  author={Li, Alexander C and Prabhudesai, Mihir and Duggal, Shivam and Brown, Ellis and Pathak, Deepak},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={2206--2217},
  year={2023}
}

@article{barnett2021case,
  title={A case-based interpretable deep learning model for classification of mass lesions in digital mammography},
  author={Barnett, Alina Jade and Schwartz, Fides Regina and Tao, Chaofan and Chen, Chaofan and Ren, Yinhao and Lo, Joseph Y and Rudin, Cynthia},
  journal={Nature Machine Intelligence},
  volume={3},
  number={12},
  pages={1061--1070},
  year={2021},
  publisher={Nature Publishing Group UK London}
}
@inproceedings{sacha2024interpretability,
  title={Interpretability benchmark for evaluating spatial misalignment of prototypical parts explanations},
  author={Sacha, Miko{\l}aj and Jura, Bartosz and Rymarczyk, Dawid and Struski, {\L}ukasz and Tabor, Jacek and Zieli{\'n}ski, Bartosz},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={38},
  number={19},
  pages={21563--21573},
  year={2024}
}

@article{ma2023looks,
  title={This looks like those: Illuminating prototypical concepts using multiple visualizations},
  author={Ma, Chiyu and Zhao, Brandon and Chen, Chaofan and Rudin, Cynthia},
  journal={Advances in Neural Information Processing Systems},
  volume={36},
  pages={39212--39235},
  year={2023}
}

@inproceedings{ma2024interpretable,
  title={Interpretable Image Classification with Adaptive Prototype-based Vision Transformers},
  author={Ma, Chiyu and Donnelly, Jon and Liu, Wenjun and Vosoughi, Soroush and Rudin, Cynthia and Chen, Chaofan},
  booktitle={The Thirty-eighth Annual Conference on Neural Information Processing Systems},
  year={2024}
}

@article{chen2019looks,
  title={This looks like that: deep learning for interpretable image recognition},
  author={Chen, Chaofan and Li, Oscar and Tao, Daniel and Barnett, Alina and Rudin, Cynthia and Su, Jonathan K},
  journal={Advances in neural information processing systems},
  volume={32},
  year={2019}
}

@inproceedings{selvaraju2017grad,
  title={Grad-cam: Visual explanations from deep networks via gradient-based localization},
  author={Selvaraju, Ramprasaath R and Cogswell, Michael and Das, Abhishek and Vedantam, Ramakrishna and Parikh, Devi and Batra, Dhruv},
  booktitle={Proceedings of the IEEE international conference on computer vision},
  pages={618--626},
  year={2017}
}

@inproceedings{zhou2016learning,
  title={Learning deep features for discriminative localization},
  author={Zhou, Bolei and Khosla, Aditya and Lapedriza, Agata and Oliva, Aude and Torralba, Antonio},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={2921--2929},
  year={2016}
}
@article{choi2023generative,
  title={Generative modeling through the semi-dual formulation of unbalanced optimal transport},
  author={Choi, Jaemoo and Choi, Jaewoong and Kang, Myungjoo},
  journal={Advances in Neural Information Processing Systems},
  volume={36},
  pages={42433--42455},
  year={2023}
}
@article{liero2018optimal,
  title={Optimal entropy-transport problems and a new Hellinger--Kantorovich distance between positive measures},
  author={Liero, Matthias and Mielke, Alexander and Savar{\'e}, Giuseppe},
  journal={Inventiones mathematicae},
  volume={211},
  number={3},
  pages={969--1117},
  year={2018},
  publisher={Springer}
}
@article{chizat2018unbalanced,
  title={Unbalanced optimal transport: Dynamic and Kantorovich formulations},
  author={Chizat, Lenaic and Peyr{\'e}, Gabriel and Schmitzer, Bernhard and Vialard, Fran{\c{c}}ois-Xavier},
  journal={Journal of Functional Analysis},
  volume={274},
  number={11},
  pages={3090--3123},
  year={2018},
  publisher={Elsevier}
}

@inproceedings{amos2017input,
  title={Input convex neural networks},
  author={Amos, Brandon and Xu, Lei and Kolter, J Zico},
  booktitle={International conference on machine learning},
  pages={146--155},
  year={2017},
  organization={PMLR}
}

@article{otto2001geometry,
  title={The geometry of dissipative evolution equations: the porous medium equation},
  author={Otto, Felix},
  year={2001},
  publisher={Taylor \& Francis}
}

@article{jordan1998variational,
  title={The variational formulation of the Fokker--Planck equation},
  author={Jordan, Richard and Kinderlehrer, David and Otto, Felix},
  journal={SIAM journal on mathematical analysis},
  volume={29},
  number={1},
  pages={1--17},
  year={1998},
  publisher={SIAM}
}

@article{brenier1991polar,
  title={Polar factorization and monotone rearrangement of vector-valued functions},
  author={Brenier, Yann},
  journal={Communications on pure and applied mathematics},
  volume={44},
  number={4},
  pages={375--417},
  year={1991},
  publisher={Wiley Online Library}
}
@article{mokrov2021large,
  title={Large-scale {W}asserstein gradient flows},
  author={Mokrov, Petr and Korotin, Alexander and Li, Lingxiao and Genevay, Aude and Solomon, Justin M and Burnaev, Evgeny},
  journal={Advances in Neural Information Processing Systems},
  volume={34},
  pages={15243--15256},
  year={2021}
}

@article{fan2021variational,
  title={Variational {W}asserstein gradient flow},
  author={Fan, Jiaojiao and Zhang, Qinsheng and Taghvaei, Amirhossein and Chen, Yongxin},
  journal={International Conference on Machine
Learning},
  year={2022}
}

@article{choi2024scalable,
  title={Scalable {w}asserstein gradient flow for generative modeling through unbalanced optimal transport},
  author={Choi, Jaemoo and Choi, Jaewoong and Kang, Myungjoo},
  journal={Forty-first International Conference on Machine Learning (ICML)},
  year={2024}
}


@misc{kingma2013auto,
  title={Auto-encoding variational bayes},
  author={Kingma, Diederik P and Welling, Max and others},
  year={2013},
  publisher={Banff, Canada}
}

@article{karras2020training,
  title={Training generative adversarial networks with limited data},
  author={Karras, Tero and Aittala, Miika and Hellsten, Janne and Laine, Samuli and Lehtinen, Jaakko and Aila, Timo},
  journal={Advances in neural information processing systems},
  volume={33},
  pages={12104--12114},
  year={2020}
}

@inproceedings{kadkhodaiegeneralization,
  title={Generalization in diffusion models arises from geometry-adaptive harmonic representations},
  author={Kadkhodaie, Zahra and Guth, Florentin and Simoncelli, Eero P and Mallat, St{\'e}phane},
  booktitle={The Twelfth International Conference on Learning Representations}
}

@article{sandkuhler2018airlab,
  title={AirLab: autograd image registration laboratory},
  author={Sandk{\"u}hler, Robin and Jud, Christoph and Andermatt, Simon and Cattin, Philippe C},
  journal={arXiv preprint arXiv:1806.09907},
  year={2018}
}

@inproceedings{niethammer2011geometric,
  title={Geometric metamorphosis},
  author={Niethammer, Marc and Hart, Gabriel L and Pace, Danielle F and Vespa, Paul M and Irimia, Andrei and Van Horn, John D and Aylward, Stephen R},
  booktitle={Medical Image Computing and Computer-Assisted Intervention--MICCAI 2011: 14th International Conference, Toronto, Canada, September 18-22, 2011, Proceedings, Part II 14},
  pages={639--646},
  year={2011},
  organization={Springer}
}
@article{cross2024happens,
  title={What happens to diffusion model likelihood when your model is conditional?},
  author={Cross, Mattias and Ragni, Anton},
  journal={arXiv preprint arXiv:2409.06364},
  year={2024}
}

@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{kirillov2023segment,
  title={Segment anything},
  author={Kirillov, Alexander and Mintun, Eric and Ravi, Nikhila and Mao, Hanzi and Rolland, Chloe and Gustafson, Laura and Xiao, Tete and Whitehead, Spencer and Berg, Alexander C and Lo, Wan-Yen and others},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={4015--4026},
  year={2023}
}
@article{reis2020brain,
  title={Brain hemorrhage extended (bhx): Bounding box extrapolation from thick to thin slice ct images},
  author={Reis, Eduardo Pontes and Nascimento, Felipe and Aranha, Mateus and Secol, Fernando Mainetti and Machado, Birajara and Felix, Marcelo and Stein, Anouk and Amaro, Edson},
  journal={PhysioNet},
  volume={101},
  number={23},
  pages={e215--20},
  year={2020}
}

@article{spiegler2024uncertainty,
  title={Uncertainty-Rectified YOLO-SAM for Weakly Supervised ICH Segmentation},
  author={Spiegler, Pascal and Rasoulian, Amirhossein and Xiao, Yiming},
  journal={arXiv preprint arXiv:2407.20461},
  year={2024}
}
@inproceedings{gong2023diffusion,
  title={Diffusion model based semi-supervised learning on brain hemorrhage images for efficient midline shift quantification},
  author={Gong, Shizhan and Chen, Cheng and Gong, Yuqi and Chan, Nga Yan and Ma, Wenao and Mak, Calvin Hoi-Kwan and Abrigo, Jill and Dou, Qi},
  booktitle={International Conference on Information Processing in Medical Imaging},
  pages={69--81},
  year={2023},
  organization={Springer}
}
@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}
}

@inproceedings{gao2025diffusionmeetsflow,
  author = {Gao, Ruiqi and Hoogeboom, Emiel and Heek, Jonathan and Bortoli, Valentin De and Murphy, Kevin P. and Salimans, Tim},
  title = {Diffusion Meets Flow Matching: Two Sides of the Same Coin},
  year = {2024},
  url  = {https://diffusionflow.github.io/}
}
@inproceedings{ho2021classifier,
  title={Classifier-Free Diffusion Guidance},
  author={Ho, Jonathan and Salimans, Tim},
  booktitle={NeurIPS 2021 Workshop on Deep Generative Models and Downstream Applications},
  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}
}
@inproceedings{
albergo2023building,
title={Building Normalizing Flows with Stochastic Interpolants},
author={Michael Samuel Albergo and Eric Vanden-Eijnden},
url={https://arxiv.org/abs/2209.15571},
booktitle={The Eleventh International Conference on Learning Representations },
year={2023},
}

@article{tongimproving,
  title={Improving and generalizing flow-based generative models with minibatch optimal transport},
  author={Tong, Alexander and FATRAS, Kilian and Malkin, Nikolay and Huguet, Guillaume and Zhang, Yanlei and Rector-Brooks, Jarrid and Wolf, Guy and Bengio, Yoshua},
  journal={Transactions on Machine Learning Research},
year={2023}
}
@inproceedings{lipmanflow,
  title={Flow Matching for Generative Modeling},
  author={Lipman, Yaron and Chen, Ricky TQ and Ben-Hamu, Heli and Nickel, Maximilian and Le, Matthew},
  booktitle={The Eleventh International Conference on Learning Representations},
year={2023}
}
@inproceedings{liu2023flow,
  title={Flow straight and fast: Learning to generate and transfer data with rectified flow},
  author={Liu, Xingchao and Gong, Chengyue and Liu, Qiang},
  booktitle={The Eleventh International Conference on Learning Representations},
year={2023}
}

@article{lipman2022flow,
  title={Flow matching for generative modeling},
  author={Lipman, Yaron and Chen, Ricky TQ and Ben-Hamu, Heli and Nickel, Maximilian and Le, Matt},
  journal={arXiv preprint arXiv:2210.02747},
  year={2022}
}

@article{mkadry2017towards,
  title={Towards deep learning models resistant to adversarial attacks},
  author={M{\k{a}}dry, Aleksander and Makelov, Aleksandar and Schmidt, Ludwig and Tsipras, Dimitris and Vladu, Adrian},
  journal={stat},
  volume={1050},
  number={9},
  year={2017}
}

@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},
  year={2014}
}
@article{goodfellow2014explaining,
  title={Explaining and harnessing adversarial examples},
  author={Goodfellow, Ian J and Shlens, Jonathon and Szegedy, Christian},
  journal={arXiv preprint arXiv:1412.6572},
  year={2014}
}

@inproceedings{cai2024rethinking,
  title={Rethinking autoencoders for medical anomaly detection from a theoretical perspective},
  author={Cai, Yu and Chen, Hao and Cheng, Kwang-Ting},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={544--554},
  year={2024},
  organization={Springer}
}
@inproceedings{nguyen2021brain,
  title={Brain midline shift detection and quantification by a cascaded deep network pipeline on non-contrast computed tomography scans},
  author={Nguyen, Nguyen P and Yoo, Youngjin and Chekkoury, Andrei and Eibenberger, Eva and Re, Thomas J and Das, Jyotipriya and Balachandran, Abishek and Lui, Yvonne W and Sanelli, Pina C and Schroeppel, Thomas J and others},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={487--495},
  year={2021}
}
@inproceedings{qin20213d,
  title={3D brain midline delineation for hematoma patients},
  author={Qin, Chenchen and Li, Haoming and Liu, Yixun and Shang, Hong and Pei, Hanqi and Wang, Xiaoning and Chen, Yihao and Chang, Jianbo and Feng, Ming and Wang, Renzhi and others},
  booktitle={Medical Image Computing and Computer Assisted Intervention--MICCAI 2021: 24th International Conference, Strasbourg, France, September 27--October 1, 2021, Proceedings, Part V 24},
  pages={510--518},
  year={2021},
  organization={Springer}
}
@article{rudin2019stop,
  title={Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead},
  author={Rudin, Cynthia},
  journal={Nature machine intelligence},
  volume={1},
  number={5},
  pages={206--215},
  year={2019},
  publisher={Nature Publishing Group UK London}
}

@inproceedings{liu2022convnet,
  title={A convnet for the 2020s},
  author={Liu, Zhuang and Mao, Hanzi and Wu, Chao-Yuan and Feichtenhofer, Christoph and Darrell, Trevor and Xie, Saining},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={11976--11986},
  year={2022}
}
@inproceedings{yang2022st++,
  title={St++: Make self-training work better for semi-supervised semantic segmentation},
  author={Yang, Lihe and Zhuo, Wei and Qi, Lei and Shi, Yinghuan and Gao, Yang},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={4268--4277},
  year={2022}
}
@article{tsai2017chang,
  title={{C}hang {G}ung {R}esearch {D}atabase: A multi-institutional database consisting of original medical records},
  author={Tsai, Ming-Shao and Lin, Meng-Hung and Lee, Chuan-Pin and Yang, Yao-Hsu and Chen, Wen-Cheng and Chang, Geng-He and Tsai, Yao-Te and Chen, Pau-Chung and Tsai, Ying-Huang},
  journal={biomedical journal},
  volume={40},
  number={5},
  pages={263--269},
  year={2017},
  publisher={Elsevier}
}
@inproceedings{xu2023rethink,
  title={Rethink long-tailed recognition with vision transforms},
  author={Xu, Zhengzhuo and Yang, Shuo and Wang, Xingjun and Yuan, Chun},
  booktitle={ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  pages={1--5},
  year={2023},
  organization={IEEE}
}
@article{loshchilov2017fixing,
  title={Fixing weight decay regularization in adam},
  author={Loshchilov, Ilya and Hutter, Frank and others},
  journal={arXiv preprint arXiv:1711.05101},
  volume={5},
  year={2017}
}
@article{lian2021mlp,
  title={As-mlp: An axial shifted mlp architecture for vision},
  author={Lian, Dongze and Yu, Zehao and Sun, Xing and Gao, Shenghua},
  journal={arXiv preprint arXiv:2107.08391},
  year={2021}
}


@inproceedings{hu2018squeeze,
  title={Squeeze-and-excitation networks},
  author={Hu, Jie and Shen, Li and Sun, Gang},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={7132--7141},
  year={2018}
}
@article{geirhos2018imagenet,
  title={ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness},
  author={Geirhos, Robert and Rubisch, Patricia and Michaelis, Claudio and Bethge, Matthias and Wichmann, Felix A and Brendel, Wieland},
  journal={arXiv preprint arXiv:1811.12231},
  year={2018}
}
@article{li2024lite,
  title={Lite-UNet: A lightweight and efficient network for cell localization},
  author={Li, Bo and Zhang, Yong and Ren, Yunhan and Zhang, Chengyang and Yin, Baocai},
  journal={Engineering Applications of Artificial Intelligence},
  volume={129},
  pages={107634},
  year={2024},
  publisher={Elsevier}
}

@inproceedings{liu2021swin,
  title={Swin transformer: 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}
}
@inproceedings{isensee2021nnu,
  title={nnU-Net for brain tumor segmentation},
  author={Isensee, Fabian and J{\"a}ger, Paul F and Full, Peter M and Vollmuth, Philipp and Maier-Hein, Klaus H},
  booktitle={Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 6th International Workshop, BrainLes 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Revised Selected Papers, Part II 6},
  pages={118--132},
  year={2021},
  organization={Springer}
}

@inproceedings{baheti2020eff,
  title={Eff-unet: A novel architecture for semantic segmentation in unstructured environment},
  author={Baheti, Bhakti and Innani, Shubham and Gajre, Suhas and Talbar, Sanjay},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition workshops},
  pages={358--359},
  year={2020}
}

@article{guan2019fully,
  title={Fully dense UNet for 2-D sparse photoacoustic tomography artifact removal},
  author={Guan, Steven and Khan, Amir A and Sikdar, Siddhartha and Chitnis, Parag V},
  journal={IEEE journal of biomedical and health informatics},
  volume={24},
  number={2},
  pages={568--576},
  year={2019},
  publisher={IEEE}
}

@inproceedings{zhou2018unet++,
  title={Unet++: A nested u-net architecture for medical image segmentation},
  author={Zhou, Zongwei and Rahman Siddiquee, Md Mahfuzur and Tajbakhsh, Nima and Liang, Jianming},
  booktitle={Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings 4},
  pages={3--11},
  year={2018},
  organization={Springer}
}

@misc{de2015isbi,
  title={ISBI cell tracking challenge},
  author={de Sol{\'o}rzano, CO and Kozubek, M and Meijering, E and Barrutia, AM},
  year={2015}
}

@inproceedings{zaki2011qualitative,
  title={Qualitative and quantitative comparisons of haemorrhage intracranial segmentation in CT brain images},
  author={Zaki, W Mimi Diyana W and Fauzi, M Faizal A and Besar, R and Ahmad, WSH Munirah W},
  booktitle={TENCON 2011-2011 IEEE Region 10 Conference},
  pages={369--373},
  year={2011},
  organization={IEEE}
}
@inproceedings{roy2015intraparenchymal,
  title={Intraparenchymal hemorrhage segmentation from clinical head CT of patients with traumatic brain injury},
  author={Roy, Snehashis and Wilkes, Sean and Diaz-Arrastia, Ramon and Butman, John A and Pham, Dzung L},
  booktitle={Medical Imaging 2015: Image Processing},
  volume={9413},
  pages={125--130},
  year={2015},
  organization={SPIE}
}
@article{bhadauria2013integrated,
  title={An integrated method for hemorrhage segmentation from brain CT imaging},
  author={Bhadauria, Harvendra Singh and Singh, Annapurna and Dewal, ML},
  journal={Computers \& Electrical Engineering},
  volume={39},
  number={5},
  pages={1527--1536},
  year={2013},
  publisher={Elsevier}
}

@article{bardera2009semi,
  title={Semi-automated method for brain hematoma and edema quantification using computed tomography},
  author={Bardera, Anton and Boada, Imma and Feixas, Miquel and Remollo, Sebastian and Blasco, Gerard and Silva, Yolanda and Pedraza, Salvador},
  journal={Computerized medical imaging and graphics},
  volume={33},
  number={4},
  pages={304--311},
  year={2009},
  publisher={Elsevier}
}

@inproceedings{yun2019cutmix,
  title={Cutmix: Regularization strategy to train strong classifiers with localizable features},
  author={Yun, Sangdoo and Han, Dongyoon and Oh, Seong Joon and Chun, Sanghyuk and Choe, Junsuk and Yoo, Youngjoon},
  booktitle={Proceedings of the IEEE/CVF international conference on computer vision},
  pages={6023--6032},
  year={2019}
}

@inproceedings{wei2019regression,
  title={Regression-based line detection network for delineation of largely deformed brain midline},
  author={Wei, Hao and Tang, Xiangyu and Zhang, Minqing and Li, Qingfeng and Xing, Xiaodan and Zhou, Xiang Sean and Xue, Zhong and Zhu, Wenzhen and Chen, Zailiang and Shi, Feng},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={839--847},
  year={2019},
  organization={Springer}
}

@inproceedings{wu2023bhsd,
  title={BHSD: A 3D Multi-class Brain Hemorrhage Segmentation Dataset},
  author={Wu, Biao and Xie, Yutong and Zhang, Zeyu and Ge, Jinchao and Yaxley, Kaspar and Bahadir, Suzan and Wu, Qi and Liu, Yifan and To, Minh-Son},
  booktitle={International Workshop on Machine Learning in Medical Imaging},
  pages={147--156},
  year={2023},
  organization={Springer}
}

@article{kidwell2004comparison,
  title={Comparison of MRI and CT for detection of acute intracerebral hemorrhage},
  author={Kidwell, Chelsea S and Chalela, Julio A and Saver, Jeffrey L and Starkman, Sidney and Hill, Michael D and Demchuk, Andrew M and Butman, John A and Patronas, Nicholas and Alger, Jeffry R and Latour, Lawrence L and others},
  journal={Jama},
  volume={292},
  number={15},
  pages={1823--1830},
  year={2004},
  publisher={American Medical Association}
}

@article{fisher1980relation,
  title={Relation of cerebral vasospasm to subarachnoid hemorrhage visualized by computerized tomographic scanning},
  author={Fisher, CM and Kistler, JP and Davis, JM},
  journal={Neurosurgery},
  volume={6},
  number={1},
  pages={1--9},
  year={1980},
  publisher={LWW}
}

@article{chilamkurthy2018deep,
  title={Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study},
  author={Chilamkurthy, Sasank and Ghosh, Rohit and Tanamala, Swetha and Biviji, Mustafa and Campeau, Norbert G and Venugopal, Vasantha Kumar and Mahajan, Vidur and Rao, Pooja and Warier, Prashant},
  journal={The Lancet},
  volume={392},
  number={10162},
  pages={2388--2396},
  year={2018},
  publisher={Elsevier}
}

@article{scherer2016development,
  title={Development and validation of an automatic segmentation algorithm for quantification of intracerebral hemorrhage},
  author={Scherer, Moritz and Cordes, Jonas and Younsi, Alexander and Sahin, Yasemin-Aylin and G{\"o}tz, Michael and M{\"o}hlenbruch, Markus and Stock, Christian and B{\"o}sel, Julian and Unterberg, Andreas and Maier-Hein, Klaus and others},
  journal={Stroke},
  volume={47},
  number={11},
  pages={2776--2782},
  year={2016},
  publisher={Am Heart Assoc}
}
@article{li2024code,
  title={Code ICH: a call to action},
  author={Li, Qi and Yakhkind, Aleksandra and Alexandrov, Anne W and Alexandrov, Andrei V and Anderson, Craig S and Dowlatshahi, Dar and Frontera, Jennifer A and Hemphill, J Claude and Ganti, Latha and Kellner, Chris and others},
  journal={Stroke},
  volume={55},
  number={2},
  pages={494--505},
  year={2024},
  publisher={Am Heart Assoc}
}
@book{Lamport:Book:1989,
 author = {Lamport, Leslie},
 title = {Latex: A Document Preparation System},
 year = {1986},
 isbn = {0-201-15790-X},
 publisher = {Addison-Wesley Longman Publishing Co., Inc.},
 address = {Boston, MA, USA},
}

@book{caplan2015vertebrobasilar,
  title={Vertebrobasilar ischemia and hemorrhage: clinical findings, diagnosis and management of posterior circulation disease},
  author={Caplan, Louis R},
  year={2015},
  publisher={Cambridge University Press}
}

@article{xiong2024efficient,
  title={Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications},
  author={Xiong, Yuwen and Li, Zhiqi and Chen, Yuntao and Wang, Feng and Zhu, Xizhou and Luo, Jiapeng and Wang, Wenhai and Lu, Tong and Li, Hongsheng and Qiao, Yu and others},
  journal={arXiv preprint arXiv:2401.06197},
  year={2024}
}
@article{antonelli2022medical,
  title={The medical segmentation decathlon},
  author={Antonelli, Michela and Reinke, Annika and Bakas, Spyridon and Farahani, Keyvan and Kopp-Schneider, Annette and Landman, Bennett A and Litjens, Geert and Menze, Bjoern and Ronneberger, Olaf and Summers, Ronald M and others},
  journal={Nature communications},
  volume={13},
  number={1},
  pages={4128},
  year={2022},
  publisher={Nature Publishing Group UK London}
}
@misc{Hinton:arXiv:2015:Distilling,
 title={Distilling the knowledge in a neural network},
 author={Hinton, Geoffrey and Vinyals, Oriol and Dean, Jeff},
 OPTeprinttype={arXiv},
 OPTeprint={1503.02531},
 howpublished={Eprint \href{http://arxiv.org/abs/1503.02531}{arXiv:1503.02531}},
 OPTurl={http://arxiv.org/abs/1503.02531},
 year=2015
}
@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{btcv,
  title={MICCAI multi-atlas labeling beyond the cranial vault-workshop and challenge (2015)},
  author={Landman, B and Xu, Z and Igelsias, J and Styner, M and Langerak, T and Klein, A},
  journal={DOI: https://doi. org/10.7303/syn3193805},
  year={2015}
}

@article{abdomen1k,
  title={Abdomenct-1k: Is abdominal organ segmentation a solved problem?},
  author={Ma, Jun and Zhang, Yao and Gu, Song and Zhu, Cheng and Ge, Cheng and Zhang, Yichi and An, Xingle and Wang, Congcong and Wang, Qiyuan and Liu, Xin and others},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  volume={44},
  number={10},
  pages={6695--6714},
  year={2021},
  publisher={IEEE}
}

@article{nnunet,
  title={nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation},
  author={Isensee, Fabian and Jaeger, Paul F and Kohl, Simon AA and Petersen, Jens and Maier-Hein, Klaus H},
  journal={Nature methods},
  volume={18},
  number={2},
  pages={203--211},
  year={2021},
  publisher={Nature Publishing Group}
}

@inproceedings{nonewnet,
  title={No new-net},
  author={Isensee, Fabian and Kickingereder, Philipp and Wick, Wolfgang and Bendszus, Martin and Maier-Hein, Klaus H},
  booktitle={Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, Part II 4},
  pages={234--244},
  year={2019},
  organization={Springer}
}

@inproceedings{swinunetr,
  title={Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images},
  author={Hatamizadeh, Ali and Nath, Vishwesh and Tang, Yucheng and Yang, Dong and Roth, Holger R and Xu, Daguang},
  booktitle={International MICCAI Brainlesion Workshop},
  pages={272--284},
  year={2021},
  organization={Springer}
}

@inproceedings{unetr,
  title={Unetr: Transformers for 3d medical image segmentation},
  author={Hatamizadeh, Ali and Tang, Yucheng and Nath, Vishwesh and Yang, Dong and Myronenko, Andriy and Landman, Bennett and Roth, Holger R and Xu, Daguang},
  booktitle={Proceedings of the IEEE/CVF winter conference on applications of computer vision},
  pages={574--584},
  year={2022}
}

@article{cmunext,
  title={Cmunext: An efficient medical image segmentation network based on large kernel and skip fusion},
  author={Tang, Fenghe and Ding, Jianrui and Wang, Lingtao and Ning, Chunping and Zhou, S Kevin},
  journal={arXiv preprint arXiv:2308.01239},
  year={2023}
}

@inproceedings{unext,
  title={Unext: Mlp-based rapid medical image segmentation network},
  author={Valanarasu, Jeya Maria Jose and Patel, Vishal M},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={23--33},
  year={2022},
  organization={Springer}
}

@article{rsnaich,
  title={Construction of a machine learning dataset through collaboration: the RSNA 2019 brain CT hemorrhage challenge},
  author={Flanders, Adam E and Prevedello, Luciano M and Shih, George and Halabi, Safwan S and Kalpathy-Cramer, Jayashree and Ball, Robyn and Mongan, John T and Stein, Anouk and Kitamura, Felipe C and Lungren, Matthew P and others},
  journal={Radiology: Artificial Intelligence},
  volume={2},
  number={3},
  pages={e190211},
  year={2020},
  publisher={Radiological Society of North America}
}

@article{expertich,
  title={Expert-level detection of acute intracranial hemorrhage on head computed tomography using deep learning},
  author={Kuo, Weicheng and Hӓne, Christian and Mukherjee, Pratik and Malik, Jitendra and Yuh, Esther L},
  journal={Proceedings of the National Academy of Sciences},
  volume={116},
  number={45},
  pages={22737--22745},
  year={2019},
  publisher={National Acad Sciences}
}

@article{cardoso2022monai,
  title={Monai: An open-source framework for deep learning in healthcare},
  author={Cardoso, M Jorge and Li, Wenqi and Brown, Richard and Ma, Nic and Kerfoot, Eric and Wang, Yiheng and Murrey, Benjamin and Myronenko, Andriy and Zhao, Can and Yang, Dong and others},
  journal={arXiv preprint arXiv:2211.02701},
  year={2022}
}
@inproceedings{myronenko20193d,
  title={3D MRI brain tumor segmentation using autoencoder regularization},
  author={Myronenko, Andriy},
  booktitle={Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, Part II 4},
  pages={311--320},
  year={2019},
  organization={Springer}
}
@inproceedings{metaformer,
  title={Metaformer is actually what you need for vision},
  author={Yu, Weihao and Luo, Mi and Zhou, Pan and Si, Chenyang and Zhou, Yichen and Wang, Xinchao and Feng, Jiashi and Yan, Shuicheng},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={10819--10829},
  year={2022}
}

@article{sunet,
  title={Stacked U-Nets: a no-frills approach to natural image segmentation},
  author={Shah, Sohil and Ghosh, Pallabi and Davis, Larry S and Goldstein, Tom},
  journal={arXiv preprint arXiv:1804.10343},
  year={2018}
}

@article{falx,
  title={Falx and interhemispheric fissure on axial CT: II. Recognition and differentiation of interhemispheric subarachnoid and subdural hemorrhage.},
  author={Zimmerman, RD and Russell, EJ and Yurberg, E and Leeds, NE},
  journal={American Journal of Neuroradiology},
  volume={3},
  number={6},
  pages={635--642},
  year={1982},
  publisher={Am Soc Neuroradiology}
}

@article{touvron2022resmlp,
  title={Resmlp: Feedforward networks for image classification with data-efficient training},
  author={Touvron, Hugo and Bojanowski, Piotr and Caron, Mathilde and Cord, Matthieu and El-Nouby, Alaaeldin and Grave, Edouard and Izacard, Gautier and Joulin, Armand and Synnaeve, Gabriel and Verbeek, Jakob and others},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  volume={45},
  number={4},
  pages={5314--5321},
  year={2022},
  publisher={IEEE}
}

@inproceedings{touvron2021training,
  title={Training data-efficient image transformers \& distillation through attention},
  author={Touvron, Hugo and Cord, Matthieu and Douze, Matthijs and Massa, Francisco and Sablayrolles, Alexandre and J{\'e}gou, Herv{\'e}},
  booktitle={International conference on machine learning},
  pages={10347--10357},
  year={2021},
  organization={PMLR}
}

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

@article{tolstikhin2021mlp,
  title={Mlp-mixer: An all-mlp architecture for vision},
  author={Tolstikhin, Ilya O and Houlsby, Neil and Kolesnikov, Alexander and Beyer, Lucas and Zhai, Xiaohua and Unterthiner, Thomas and Yung, Jessica and Steiner, Andreas and Keysers, Daniel and Uszkoreit, Jakob and others},
  journal={Advances in neural information processing systems},
  volume={34},
  pages={24261--24272},
  year={2021}
}

@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}
}

@article{luo2016understanding,
  title={Understanding the effective receptive field in deep convolutional neural networks},
  author={Luo, Wenjie and Li, Yujia and Urtasun, Raquel and Zemel, Richard},
  journal={Advances in neural information processing systems},
  volume={29},
  year={2016}
}

@article{mumford1989optimal,
  title={Optimal approximations by piecewise smooth functions and associated variational problems},
  author={Mumford, David Bryant and Shah, Jayant},
  journal={Communications on pure and applied mathematics},
  year={1989},
  publisher={Wiley-Blackwell}
}

@article{mumford-shah,
  title={Mumford--Shah loss functional for image segmentation with deep learning},
  author={Kim, Boah and Ye, Jong Chul},
  journal={IEEE Transactions on Image Processing},
  volume={29},
  pages={1856--1866},
  year={2019},
  publisher={IEEE}
}

@article{coordconv,
  title={An intriguing failing of convolutional neural networks and the coordconv solution},
  author={Liu, Rosanne and Lehman, Joel and Molino, Piero and Petroski Such, Felipe and Frank, Eric and Sergeev, Alex and Yosinski, Jason},
  journal={Advances in neural information processing systems},
  volume={31},
  year={2018}
}

@article{patchfcn,
  title={PatchFCN for intracranial hemorrhage detection},
  author={Kuo, Weicheng and H{\"a}ne, Christian and Yuh, Esther and Mukherjee, Pratik and Malik, Jitendra},
  journal={arXiv preprint arXiv:1806.03265},
  year={2018}
}

@article{segnext,
  title={Segnext: Rethinking convolutional attention design for semantic segmentation},
  author={Guo, Meng-Hao and Lu, Cheng-Ze and Hou, Qibin and Liu, Zhengning and Cheng, Ming-Ming and Hu, Shi-Min},
  journal={Advances in Neural Information Processing Systems},
  volume={35},
  pages={1140--1156},
  year={2022}
}

@inproceedings{imagenet,
  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={2009 IEEE conference on computer vision and pattern recognition},
  pages={248--255},
  year={2009},
  organization={Ieee}
}

@inproceedings{cityscapes,
  title={The cityscapes dataset for semantic urban scene understanding},
  author={Cordts, Marius and Omran, Mohamed and Ramos, Sebastian and Rehfeld, Timo and Enzweiler, Markus and Benenson, Rodrigo and Franke, Uwe and Roth, Stefan and Schiele, Bernt},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={3213--3223},
  year={2016}
}

@inproceedings{ade20k,
  title={Scene parsing through ade20k dataset},
  author={Zhou, Bolei and Zhao, Hang and Puig, Xavier and Fidler, Sanja and Barriuso, Adela and Torralba, Antonio},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={633--641},
  year={2017}
}

@inproceedings{stackedhourglass,
  title={Stacked hourglass networks for human pose estimation},
  author={Newell, Alejandro and Yang, Kaiyu and Deng, Jia},
  booktitle={Computer Vision--ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part VIII 14},
  pages={483--499},
  year={2016},
  organization={Springer}
}

@article{monteiro2020multiclass,
  title={Multiclass semantic segmentation and quantification of traumatic brain injury lesions on head CT using deep learning: an algorithm development and multicentre validation study},
  author={Monteiro, Miguel and Newcombe, Virginia FJ and Mathieu, Francois and Adatia, Krishma and Kamnitsas, Konstantinos and Ferrante, Enzo and Das, Tilak and Whitehouse, Daniel and Rueckert, Daniel and Menon, David K and others},
  journal={The Lancet Digital Health},
  volume={2},
  number={6},
  pages={e314--e322},
  year={2020},
  publisher={Elsevier}
}

@article{gibson2022artificial,
  title={Artificial Intelligence with Statistical Confidence Scores for Detection of Acute or Subacute Hemorrhage on Noncontrast CT Head Scans},
  author={Gibson, Eli and Georgescu, Bogdan and Ceccaldi, Pascal and Trigan, Pierre-Hugo and Yoo, Youngjin and Das, Jyotipriya and Re, Thomas J and Rs, Vishwanath and Balachandran, Abishek and Eibenberger, Eva and others},
  journal={Radiology: Artificial Intelligence},
  volume={4},
  number={3},
  pages={e210115},
  year={2022},
  publisher={Radiological Society of North America}
}

@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={2009 IEEE conference on computer vision and pattern recognition},
  pages={248--255},
  year={2009},
  organization={Ieee}
}