@article{hacihaliloglu2014local,
  title={Local phase tensor features for 3-D ultrasound to statistical shape+ pose spine model registration},
  author={Hacihaliloglu, Ilker and Rasoulian, Abtin and Rohling, Robert N and Abolmaesumi, Purang},
  journal={IEEE transactions on Medical Imaging},
  volume={33},
  number={11},
  pages={2167--2179},
  year={2014},
  publisher={IEEE}
}

@article{hacihaliloglu2017enhancement,
  title={Enhancement of bone shadow region using local phase-based ultrasound transmission maps},
  author={Hacihaliloglu, Ilker},
  journal={International journal of computer assisted radiology and surgery},
  volume={12},
  number={6},
  pages={951--960},
  year={2017},
  publisher={Springer}
}

@article{graham2021levit,
  title={LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference},
  author={Graham, Ben and El-Nouby, Alaaeldin and Touvron, Hugo and Stock, Pierre and Joulin, Armand and J{\'e}gou, Herv{\'e} and Douze, Matthijs},
  journal={arXiv preprint arXiv:2104.01136},
  year={2021}
}

@article{valanarasu2021kiu,
  title={Kiu-net: Overcomplete convolutional architectures for biomedical image and volumetric segmentation},
  author={Valanarasu, Jeya Maria Jose and Sindagi, Vishwanath A and Hacihaliloglu, Ilker and Patel, Vishal M},
  journal={IEEE Transactions on Medical Imaging},
  year={2021},
  publisher={IEEE}
}

@article{hacihaliloglu2017ultrasound,
  title={Ultrasound imaging and segmentation of bone surfaces: A review},
  author={Hacihaliloglu, Ilker},
  journal={Technology},
  volume={5},
  number={02},
  pages={74--80},
  year={2017},
  publisher={World Scientific}
}

@inproceedings{wang2018simultaneous,
  title={Simultaneous segmentation and classification of bone surfaces from ultrasound using a multi-feature guided cnn},
  author={Wang, Puyang and Patel, Vishal M and Hacihaliloglu, Ilker},
  booktitle={International conference on medical image computing and computer-assisted intervention},
  pages={134--142},
  year={2018},
  organization={Springer}
}

@inproceedings{wang2020robust,
  title={Robust Bone Shadow Segmentation from 2D Ultrasound Through Task Decomposition},
  author={Wang, Puyang and Vives, Michael and Patel, Vishal M and Hacihaliloglu, Ilker},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={805--814},
  year={2020},
  organization={Springer}
}

@article{alsinan2020bone,
  title={Bone shadow segmentation from ultrasound data for orthopedic surgery using GAN},
  author={Alsinan, Ahmed Z and Patel, Vishal M and Hacihaliloglu, Ilker},
  journal={International Journal of Computer Assisted Radiology and Surgery},
  volume={15},
  number={9},
  pages={1477--1485},
  year={2020},
  publisher={Springer}
}
@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{alsinan2019spine,
  title={Spine surface segmentation from ultrasound using multi-feature guided cnn},
  author={Alsinan, Ahmed and Vives, Michael and Patel, Vishal and Hacihaliloglu, Ilker},
  journal={CAOS},
  volume={3},
  pages={6--10},
  year={2019}
}


@article{pham2022segtransvae,
  title={SegTransVAE: Hybrid CNN--Transformer with Regularization for medical image segmentation},
  author={Pham, Quan-Dung and Nguyen-Truong, Hai and Phuong, Nam Nguyen and Nguyen, Khoa NA},
  journal={arXiv preprint arXiv:2201.08582},
  year={2022}
}

@article{alsinan2019automatic,
  title={Automatic segmentation of bone surfaces from ultrasound using a filter-layer-guided CNN},
  author={Alsinan, Ahmed Z and Patel, Vishal M and Hacihaliloglu, Ilker},
  journal={International journal of computer assisted radiology and surgery},
  volume={14},
  number={5},
  pages={775--783},
  year={2019},
  publisher={Springer}
}

@article{wang2020cnn,
  title={Robust real-time bone surfaces segmentation from ultrasound using a local phase tensor-guided CNN},
  author={Wang, Puyang and Vives, Michael and Patel, Vishal M and Hacihaliloglu, Ilker},
  journal={International Journal of Computer Assisted Radiology and Surgery},
  volume={15},
  pages={1127--1135},
  year={2020},
  publisher={Springer}
}

@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},
  organization={Springer}
}

@article{xu2021levit,
  title={LeViT-UNet: Make Faster Encoders with Transformer for Medical Image Segmentation},
  author={Xu, Guoping and Wu, Xingrong and Zhang, Xuan and He, Xinwei},
  journal={arXiv preprint arXiv:2107.08623},
  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}
}

@inproceedings{rahman2022orientation,
  title={Orientation-Guided Graph Convolutional Network for Bone Surface Segmentation},
  author={Rahman, Aimon and Bandara, Wele Gedara Chaminda and Valanarasu, Jeya Maria Jose and Hacihaliloglu, Ilker and Patel, Vishal M},
  booktitle={Medical Image Computing and Computer Assisted Intervention--MICCAI 2022: 25th International Conference, Singapore, September 18--22, 2022, Proceedings, Part V},
  pages={412--421},
  year={2022},
  organization={Springer}
}

@inproceedings{rahman2022simultaneous,
  title={Simultaneous Bone and Shadow Segmentation Network Using Task Correspondence Consistency},
  author={Rahman, Aimon and Valanarasu, Jeya Maria Jose and Hacihaliloglu, Ilker and Patel, Vishal M},
  booktitle={Medical Image Computing and Computer Assisted Intervention--MICCAI 2022: 25th International Conference, Singapore, September 18--22, 2022, Proceedings, Part IV},
  pages={330--339},
  year={2022},
  organization={Springer}
}

@inproceedings{chen2021uscl,
  title={USCL: pretraining deep ultrasound image diagnosis model through video contrastive representation learning},
  author={Chen, Yixiong and Zhang, Chunhui and Liu, Li and Feng, Cheng and Dong, Changfeng and Luo, Yongfang and Wan, Xiang},
  booktitle={Medical Image Computing and Computer Assisted Intervention--MICCAI 2021: 24th International Conference, Strasbourg, France, September 27--October 1, 2021, Proceedings, Part VIII 24},
  pages={627--637},
  year={2021},
  organization={Springer}
}

@inproceedings{azizi2021big,
  title={Big self-supervised models advance medical image classification},
  author={Azizi, Shekoofeh and Mustafa, Basil and Ryan, Fiona and Beaver, Zachary and Freyberg, Jan and Deaton, Jonathan and Loh, Aaron and Karthikesalingam, Alan and Kornblith, Simon and Chen, Ting and others},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={3478--3488},
  year={2021}
}

@article{cruz2016comparison,
  title={Comparison of two different ultrasound systems for the evaluation of tissue Doppler velocities in fetuses},
  author={Cruz-Lemini, M{\'o}nica and Valenzuela-Alcaraz, Brenda and Figueras, Francesc and Sitges, Marta and G{\'o}mez, Olga and Mart{\'\i}nez, Josep Mar{\'\i}a and Bijnens, Bart and Gratac{\'o}s, Eduard and Crispi, F{\'a}tima},
  journal={Fetal Diagnosis and Therapy},
  volume={40},
  number={1},
  pages={35--40},
  year={2016},
  publisher={Karger Publishers}
}

@inproceedings{basu2022unsupervised,
  title={Unsupervised Contrastive Learning of Image Representations from Ultrasound Videos with Hard Negative Mining},
  author={Basu, Soumen and Singla, Somanshu and Gupta, Mayank and Rana, Pratyaksha and Gupta, Pankaj and Arora, Chetan},
  booktitle={Medical Image Computing and Computer Assisted Intervention--MICCAI 2022: 25th International Conference, Singapore, September 18--22, 2022, Proceedings, Part IV},
  pages={423--433},
  year={2022},
  organization={Springer}
}

@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{tong2022videomae,
  title={Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training},
  author={Tong, Zhan and Song, Yibing and Wang, Jue and Wang, Limin},
  journal={arXiv preprint arXiv:2203.12602},
  year={2022}
}



@article{karamalis2012ultrasound,
  title={Ultrasound confidence maps using random walks},
  author={Karamalis, Athanasios and Wein, Wolfgang and Klein, Tassilo and Navab, Nassir},
  journal={Medical image analysis},
  volume={16},
  number={6},
  pages={1101--1112},
  year={2012},
  publisher={Elsevier}
}

@article{yu2010backscatter,
  title={Backscatter-contour-attenuation joint estimation model for attenuation compensation in ultrasound imagery},
  author={Yu, Yongjian and Wang, Jue},
  journal={IEEE transactions on image processing},
  volume={19},
  number={10},
  pages={2725--2736},
  year={2010},
  publisher={IEEE}
}

@article{girdhar2022omnimae,
  title={Omnimae: Single model masked pretraining on images and videos},
  author={Girdhar, Rohit and El-Nouby, Alaaeldin and Singh, Mannat and Alwala, Kalyan Vasudev and Joulin, Armand and Misra, Ishan},
  journal={arXiv preprint arXiv:2206.08356},
  year={2022}
}

@inproceedings{girdhar2022omnivore,
  title={Omnivore: A single model for many visual modalities},
  author={Girdhar, Rohit and Singh, Mannat and Ravi, Nikhila and van der Maaten, Laurens and Joulin, Armand and Misra, Ishan},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={16102--16112},
  year={2022}
}

@article{reddy2023video,
  title={Video-Based Deep Learning for Automated Assessment of Left Ventricular Ejection Fraction in Pediatric Patients},
  author={Reddy, Charitha D and Lopez, Leo and Ouyang, David and Zou, James Y and He, Bryan},
  journal={Journal of the American Society of Echocardiography},
  year={2023},
  publisher={Elsevier}
}

@article{ouyang2020video,
  title={Video-based AI for beat-to-beat assessment of cardiac function},
  author={Ouyang, David and He, Bryan and Ghorbani, Amirata and Yuan, Neal and Ebinger, Joseph and Langlotz, Curtis P and Heidenreich, Paul A and Harrington, Robert A and Liang, David H and Ashley, Euan A and others},
  journal={Nature},
  volume={580},
  number={7802},
  pages={252--256},
  year={2020},
  publisher={Nature Publishing Group UK London}
}

@inproceedings{li2022rethinking,
  title={Rethinking Breast Lesion Segmentation in Ultrasound: A New Video Dataset and A Baseline Network},
  author={Li, Jialu and Zheng, Qingqing and Li, Mingshuang and Liu, Ping and Wang, Qiong and Sun, Litao and Zhu, Lei},
  booktitle={Medical Image Computing and Computer Assisted Intervention--MICCAI 2022: 25th International Conference, Singapore, September 18--22, 2022, Proceedings, Part IV},
  pages={391--400},
  year={2022},
  organization={Springer}
}

@article{van2018automated,
  title={Automated measurement of fetal head circumference using 2D ultrasound images},
  author={van den Heuvel, Thomas LA and de Bruijn, Dagmar and de Korte, Chris L and Ginneken, Bram van},
  journal={PloS one},
  volume={13},
  number={8},
  pages={e0200412},
  year={2018},
  publisher={Public Library of Science San Francisco, CA USA}
}

@phdthesis{mohabir2020knee,
  title={Knee cartilage segmentation of ultrasound images using convolutional neural networks and local phase enhancement},
  author={Mohabir, Justin Heeralall},
  year={2020},
  school={Rutgers The State University of New Jersey, School of Graduate Studies}
}

 @misc{choudhari_2022, title={PCOS detection using ultrasound images}, url={https://www.kaggle.com/datasets/anaghachoudhari/pcos-detection-using-ultrasound-images}, journal={Kaggle}, author={Choudhari, Anagha}, year={2022}, month={Apr}} 

 @article{yu2022automatic,
  title={Automatic detection and diagnosis of thyroid ultrasound images based on attention mechanism},
  author={Yu, Zhenggang and Liu, Shunlan and Liu, Peizhong and Liu, Yao},
  journal={Computers in Biology and Medicine},
  pages={106468},
  year={2022},
  publisher={Elsevier}
}

 @misc{aabo_2020, title={Dataset-BUSI}, url={https://www.kaggle.com/datasets/anaselmasry/datasetbusiwithgt}, journal={Kaggle}} 

 @misc{shengwang1130_2021, title={Ultrasound image set of Hemangioma3}, url={https://www.kaggle.com/datasets/shengwang1130/ultrasound-image-set-of-hemangioma3}, journal={Kaggle}, author={ShengWang1130}, year={2021}, month={Dec}} 

 @inproceedings{pedraza2015open,
  title={An open access thyroid ultrasound image database},
  author={Pedraza, Lina and Vargas, Carlos and Narv{\'a}ez, Fabi{\'a}n and Dur{\'a}n, Oscar and Mu{\~n}oz, Emma and Romero, Eduardo},
  booktitle={10th International symposium on medical information processing and analysis},
  volume={9287},
  pages={188--193},
  year={2015},
  organization={SPIE}
}

@inproceedings{valanarasu2020kiu,
  title={Kiu-net: Towards accurate segmentation of biomedical images using over-complete representations},
  author={Valanarasu, Jeya Maria Jose and Sindagi, Vishwanath A and Hacihaliloglu, Ilker and Patel, Vishal M},
  booktitle={Medical Image Computing and Computer Assisted Intervention--MICCAI 2020: 23rd International Conference, Lima, Peru, October 4--8, 2020, Proceedings, Part IV 23},
  pages={363--373},
  year={2020},
  organization={Springer}
}

@inproceedings{wang2019learning,
  title={Learning correspondence from the cycle-consistency of time},
  author={Wang, Xiaolong and Jabri, Allan and Efros, Alexei A},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={2566--2576},
  year={2019}
}

@article{al2020dataset,
  title={Dataset of breast ultrasound images},
  author={Al-Dhabyani, Walid and Gomaa, Mohammed and Khaled, Hussien and Fahmy, Aly},
  journal={Data in brief},
  volume={28},
  pages={104863},
  year={2020},
  publisher={Elsevier}
}

@inproceedings{kang2023deblurring,
  title={Deblurring masked autoencoder is better recipe for ultrasound image recognition},
  author={Kang, Qingbo and Gao, Jun and Li, Kang and Lao, Qicheng},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={352--362},
  year={2023},
  organization={Springer}
}