%1
@article{jamali2010non,
  title={Non-alcoholic fatty liver disease},
  author={Jamali, Rika and Jamali, Arsia},
  journal={KAUMS Journal (Feyz)},
  volume={14},
  number={2},
  pages={169--179},
  year={2010},
  publisher={KAUMS Journal (FEYZ)}
}

%2
@article{asrani2019burden,
  title={Burden of liver diseases in the world},
  author={Asrani, Sumeet K and Devarbhavi, Harshad and Eaton, John and Kamath, Patrick S},
  journal={Journal of hepatology},
  volume={70},
  number={1},
  pages={151--171},
  year={2019},
  publisher={Elsevier}
}

%3
@inproceedings{yang2010method,
  title={Method of edge energy template for detection of ultrasonic based fatty liver},
  author={Yang, Yang and He, Qing and Hu, Chao and Liao, Jingsheng and Meng, Max Q-H},
  booktitle={2010 3rd International Congress on Image and Signal Processing},
  volume={2},
  pages={994--998},
  year={2010},
  organization={IEEE}
}

%4
@article{chalasani2012diagnosis,
  title={The diagnosis and management of non-alcoholic fatty liver disease: practice Guideline by the American Association for the Study of Liver Diseases, American College of Gastroenterology, and the American Gastroenterological Association},
  author={Chalasani, Naga and Younossi, Zobair and Lavine, Joel E and Diehl, Anna Mae and Brunt, Elizabeth M and Cusi, Kenneth and Charlton, Michael and Sanyal, Arun J},
  journal={Hepatology},
  volume={55},
  number={6},
  pages={2005--2023},
  year={2012},
  publisher={LWW}
}

%5
@article{byra2018transfer,
  title={Transfer learning with deep convolutional neural network for liver steatosis assessment in ultrasound images},
  author={Byra, Micha{\l} and Styczynski, Grzegorz and Szmigielski, Cezary and Kalinowski, Piotr and Micha{\l}owski, {\L}ukasz and Paluszkiewicz, Rafa{\l} and Ziarkiewicz-Wr{\'o}blewska, Bogna and Zieniewicz, Krzysztof and Sobieraj, Piotr and Nowicki, Andrzej},
  journal={International journal of computer assisted radiology and surgery},
  volume={13},
  pages={1895--1903},
  year={2018},
  publisher={Springer}
}

%6
@article{khosravi2007mortality,
  title={Mortality in the islamic republic of Iran, 1964-2004},
  author={Khosravi, Ardeshir and Taylor, Richard and Naghavi, Mohsen and Lopez, Alan D},
  journal={Bulletin of the World Health Organization},
  volume={85},
  number={8},
  pages={607--614},
  year={2007},
  publisher={SciELO Public Health}
}
@article{moghaddasifar2016prevalence,
  title={Prevalence of non-alcoholic fatty liver disease and its related factors in Iran},
  author={Moghaddasifar, I and Lankarani, KB and Moosazadeh, M and Afshari, M and Ghaemi, A and Aliramezany, M and Gharebagh, R Afsar and Malary, M},
  journal={International journal of organ transplantation medicine},
  volume={7},
  number={3},
  pages={149},
  year={2016},
  publisher={Avicenna Organ Transplantation Institute}
}
@article{cleveland2018diagnostic,
  title={Diagnostic challenges of nonalcoholic fatty liver disease/nonalcoholic steatohepatitis},
  author={Cleveland, Erin and Bandy, Andrew and VanWagner, Lisa B},
  journal={Clinical Liver Disease},
  volume={11},
  number={4},
  pages={98--104},
  year={2018},
  publisher={Wiley Online Library}
}
%7
@misc{koncarevic2011methods,
  title={Methods for treating fatty liver disease},
  author={Koncarevic, Alan and Lachey, Jennifer and Seehra, Jasbir and Sherman, Matthew L},
  year={2011},
  month=jun # "~2",
  publisher={Google Patents},
  note={US Patent App. 12/939,084}
}

%8
@article{shalbaf2013automatic,
  title={Automatic assessment of regional and global wall motion abnormalities in echocardiography images by nonlinear dimensionality reduction},
  author={Shalbaf, Ahmad and Behnam, Hamid and Alizade-Sani, Zahra and Shojaifard, Maryam},
  journal={Medical Physics},
  volume={40},
  number={5},
  pages={052904},
  year={2013},
  publisher={Wiley Online Library}
}


@article{hormati2018non,
  title={Non-alcoholic fatty liver disease},
  author={Hormati, Ahmad and Shakeri, Mansoureh and Iranikhah, Abolfazl and Afifian, Mahboobe and Sarkeshikian, Seyed Saeed},
  journal={Govaresh},
  volume={23},
  number={4},
  pages={203--212},
  year={2018}
}

@article{litjens2017survey,
  title={A survey on deep learning in medical image analysis},
  author={Litjens, Geert and Kooi, Thijs and Bejnordi, Babak Ehteshami and Setio, Arnaud Arindra Adiyoso and Ciompi,Francesco and Ghafoorian, Mohsen and Van Der Laak, Jeroen Awm and Van Ginneken, Bram and S{\'a}nchez, Clara I},
  journal={Medical image analysis},
  volume={42},
  pages={60--88},
  year={2017},
  publisher={Elsevier}
}


@article{shalbaf2015echocardiography,
  title={Echocardiography without electrocardiogram using nonlinear dimensionality reduction methods},
  author={Shalbaf, Ahmad and AlizadehSani, Zahra and Behnam, Hamid},
  journal={Journal of Medical Ultrasonics},
  volume={42},
  pages={137--149},
  year={2015},
  publisher={Springer}
}

@article{shalbaf2012left,
  title={Left ventricle wall motion quantification from echocardiographic images by non-rigid image registration},
  author={Shalbaf, Ahmad and Behnam, Hamid and Alizade-Sani, Zahra and Shojaifard, Maryam},
  journal={International journal of computer assisted radiology and surgery},
  volume={7},
  pages={769--783},
  year={2012},
  publisher={Springer}
}

@article{sani2015automatic,
  title={Automatic computation of left ventricular volume changes over a cardiac cycle from echocardiography images by nonlinear dimensionality reduction},
  author={Sani, Zahra Alizadeh and Shalbaf, Ahmad and Behnam, Hamid and Shalbaf, Reza},
  journal={Journal of digital imaging},
  volume={28},
  number={1},
  pages={91},
  year={2015},
  publisher={Springer}
}

@article{vanderbeck2014automatic,
  title={Automatic classification of white regions in liver biopsies by supervised machine learning},
  author={Vanderbeck, Scott and Bockhorst, Joseph and Komorowski, Richard and Kleiner, David E and Gawrieh, Samer},
  journal={Human pathology},
  volume={45},
  number={4},
  pages={785--792},
  year={2014},
  publisher={Elsevier}
}

@article{hashem2014study,
  title={A study of support vector machine algorithm for liver disease diagnosis},
  author={Hashem, Esraa M and Mabrouk, Mai S},
  journal={American Journal of Intelligent Systems},
  volume={4},
  number={1},
  pages={9--14},
  year={2014}
}

@article{rau2016development,
  title={Development of a web-based liver cancer prediction model for type II diabetes patients by using an artificial neural network},
  author={Rau, Hsiao-Hsien and Hsu, Chien-Yeh and Lin, Yu-An and Atique, Suleman and Fuad, Anis and Wei, Li-Ming and Hsu, Ming-Huei},
  journal={Computer methods and programs in biomedicine},
  volume={125},
  pages={58--65},
  year={2016},
  publisher={Elsevier}
}

@article{hinton2018deep,
  title={Deep learning—a technology with the potential to transform health care},
  author={Hinton, Geoffrey},
  journal={Jama},
  volume={320},
  number={11},
  pages={1101--1102},
  year={2018},
  publisher={American Medical Association}
}

@article{wu2019prediction,
  title={Prediction of fatty liver disease using machine learning algorithms},
  author={Wu, Chieh-Chen and Yeh, Wen-Chun and Hsu, Wen-Ding and Islam, Md Mohaimenul and Nguyen, Phung Anh Alex and Poly, Tahmina Nasrin and Wang, Yao-Chin and Yang, Hsuan-Chia and Li, Yu-Chuan Jack},
  journal={Computer methods and programs in biomedicine},
  volume={170},
  pages={23--29},
  year={2019},
  publisher={Elsevier}
}

@article{cao2005liver,
  title={Liver fibrosis identification based on ultrasound images captured under varied imaging protocols},
  author={Cao, Gui-tao and Shi, Peng-fei and Hu, Bing},
  journal={Journal of Zhejiang University-SCIENCE B},
  volume={6},
  number={11},
  pages={1107--1114},
  year={2005},
  publisher={Springer}
}

@article{andrade2012classifier,
  title={Classifier approaches for liver steatosis using ultrasound images},
  author={Andrade, Andreia and Silva, Jos{\'e} Silvestre and Santos, Jaime and Belo-Soares, Pedro},
  journal={Procedia Technology},
  volume={5},
  pages={763--770},
  year={2012},
  publisher={Elsevier}
}

@article{gao2014texture,
  title={Texture analysis and classification of ultrasound liver images},
  author={Gao, Shuang and Peng, Yuhua and Guo, Huizhi and Liu, Weifeng and Gao, Tianxin and Xu, Yuanqing and Tang, Xiaoying},
  journal={Bio-medical materials and engineering},
  volume={24},
  number={1},
  pages={1209--1216},
  year={2014},
  publisher={IOS Press}
}

@article{acharya2016automated,
  title={Automated characterization of fatty liver disease and cirrhosis using curvelet transform and entropy features extracted from ultrasound images},
  author={Acharya, U Rajendra and Raghavendra, U and Fujita, Hamido and Hagiwara, Yuki and Koh, Joel EW and Hong, Tan Jen and Sudarshan, Vidya K and Vijayananthan, Anushya and Yeong, Chai Hong and Gudigar, Anjan and others},
  journal={Computers in biology and medicine},
  volume={79},
  pages={250--258},
  year={2016},
  publisher={Elsevier}
}


@article{kuppili2017extreme,
  title={Extreme learning machine framework for risk stratification of fatty liver disease using ultrasound tissue characterization},
  author={Kuppili, Venkatanareshbabu and Biswas, Mainak and Sreekumar, Aswini and Suri, Harman S and Saba, Luca and Edla, Damodar Reddy and Marinhoe, Rui Tato and Sanches, J Miguel and Suri, Jasjit S},
  journal={Journal of medical systems},
  volume={41},
  pages={1--20},
  year={2017},
  publisher={Springer}
}

@article{hassan2017diagnosis,
  title={Diagnosis of focal liver diseases based on deep learning technique for ultrasound images},
  author={Hassan, Tarek M and Elmogy, Mohammed and Sallam, El-Sayed},
  journal={Arabian Journal for Science and Engineering},
  volume={42},
  pages={3127--3140},
  year={2017},
  publisher={Springer}
}

@article{liu2017learning,
  title={Learning to diagnose cirrhosis with liver capsule guided ultrasound image classification},
  author={Liu, Xiang and Song, Jia Lin and Wang, Shuo Hong and Zhao, Jing Wen and Chen, Yan Qiu},
  journal={Sensors},
  volume={17},
  number={1},
  pages={149},
  year={2017},
  publisher={MDPI}
}

@article{chou2021deep,
  title={Deep learning for abdominal ultrasound: A computer-aided diagnostic system for the severity of fatty liver},
  author={Chou, Tsung-Hsien and Yeh, Hsing-Jung and Chang, Chun-Chao and Tang, Jui-Hsiang and Kao, Wei-Yu and Su, I-Chia and Li, Chien-Hung and Chang, Wei-Hao and Huang, Chun-Kai and Sufriyana, Herdiantri and others},
  journal={Journal of the Chinese Medical Association},
  volume={84},
  number={9},
  pages={842--850},
  year={2021},
  publisher={LWW}
}


@article{constantinescu2021transfer,
  title={Transfer learning with pre-trained deep convolutional neural networks for the automatic assessment of liver steatosis in ultrasound images},
  author={Constantinescu, Elena Codruta and Udriștoiu, Anca-Loredana and Udriștoiu, Ștefan Cristinel and Iacob, Andreea Valentina and Gruionu, Lucian Gheorghe and Gruionu, Gabriel and S{\u{a}}ndulescu, Larisa and S{\u{a}}ftoiu, Adrian},
  journal={Medical Ultrasonography},
  volume={23},
  number={2},
  pages={135--139},
  year={2021}
}

@article{zamanian2020automatic,
  title={Automatic Recognition of Non-alcoholic Fatty Liver by using Transfer Deep Learning Networks from Ultrasound Images},
  author={Zamanian, Hamed and Shalbaf, Ahmad},
  journal={GOVARESH},
  volume={25},
  number={3},
  pages={188--197},
  year={2020}
}

@article{pasyar2021hybrid,
  title={Hybrid classification of diffuse liver diseases in ultrasound images using deep convolutional neural networks},
  author={Pasyar, Pezhman and Mahmoudi, Tahereh and Kouzehkanan, Seyedeh-Zahra Mousavi and Ahmadian, Alireza and Arabalibeik, Hossein and Soltanian, Nahid and Radmard, Amir Reza},
  journal={Informatics in Medicine Unlocked},
  volume={22},
  pages={100496},
  year={2021},
  publisher={Elsevier}
}

@article{tahmasbi2023model,
  title={A MODEL FOR DIAGNOSING LIVER DISEASES USING “MACHINE LEARNING” TECHNIQUES},
  author={Tahmasbi, Hamidreza and Besharati, Reza and Alishahi, Mohammad},
  journal={Studies in Medical Sciences},
  volume={33},
  number={11},
  pages={814--822},
  year={2023},
  publisher={Studies in Medical Sciences}
}

@article{zamanian2021implementation,
  title={Implementation of combinational deep learning algorithm for non-alcoholic fatty liver classification in ultrasound images},
  author={Zamanian, H and Mostaar, A and Azadeh, P and Ahmadi, M},
  journal={Journal of Biomedical Physics \& Engineering},
  volume={11},
  number={1},
  pages={73},
  year={2021},
  publisher={Shiraz University of Medical Sciences}
}


@misc{requestatestNonAlcoholicFatty,
	author = {},
	title = {{N}on-{A}lcoholic {F}atty {L}iver {D}isease {S}ymptoms | {N}{A}{F}{L}{D} | {R}equest {A} {T}est --- requestatest.com},
	howpublished = {\url{https://requestatest.com/non-alcoholic-fatty-liver-nafld-symptoms-test}},
	year = {},
	note = {[Accessed 26-12-2023]},
}

@MISC{WikipediaEN:AFM,
	author = {{Wikipedia, the free encyclopedia}},
	title = {Atomic force microscopy},
	year = {2013},
	note = {[Online; accessed April 27, 2013]},
	url = {https://en.wikipedia.org/wiki/File:Atomic_force_microscope_block_diagram.svg}
}

@article{zhang2020chinese,
  title={Chinese medicinal herbs targeting the gut--liver axis and adipose tissue--liver axis for non-alcoholic fatty liver disease treatments: the ancient wisdom and modern science},
  author={Zhang, Shuwei and Wong, Yui-Tung and Tang, Ka-Yu and Kwan, Hiu-Yee and Su, Tao},
  journal={Frontiers in endocrinology},
  volume={11},
  pages={572729},
  year={2020},
  publisher={Frontiers Media SA}
}