{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T10:27:14Z","timestamp":1779359234475,"version":"3.51.4"},"reference-count":58,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3204395","type":"journal-article","created":{"date-parts":[[2022,9,5]],"date-time":"2022-09-05T20:05:37Z","timestamp":1662408337000},"page":"96930-96951","source":"Crossref","is-referenced-by-count":104,"title":["ADD-Net: An Effective Deep Learning Model for Early Detection of Alzheimer Disease in MRI Scans"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7269-9725","authenticated-orcid":false,"given":"Mian Muhammad Sadiq","family":"Fareed","sequence":"first","affiliation":[{"name":"Institute of Artificial Intelligence and Marine Robots, Dalian Maritime University, Dalian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shahid","family":"Zikria","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Information Technology University, Lahore, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gulnaz","family":"Ahmed","sequence":"additional","affiliation":[{"name":"Institute of Artificial Intelligence and Marine Robots, Dalian Maritime University, Dalian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Mui-Zzud-Din","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Ghazi University, Dera Ghazi Khan, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Saqib","family":"Mahmood","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhammad","family":"Aslam","sequence":"additional","affiliation":[{"name":"School of Computing Engineering and Physical Sciences, University of the West of Scotland, Glasgow, U.K"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Syeda Fizzah","family":"Jillani","sequence":"additional","affiliation":[{"name":"Department of Physics, Physical Sciences Building, Aberystwyth University, Aberystwyth, U.K"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ahmad","family":"Moustafa","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Nagoya Institute of Technology, Nagoya, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhammad","family":"Asad","sequence":"additional","affiliation":[{"name":"Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","article-title":"Empirical evaluation of rectified activations in convolutional network","author":"xu","year":"2015","journal-title":"arXiv 1505 00853"},{"key":"ref38","doi-asserted-by":"crossref","first-page":"3573","DOI":"10.1109\/TNNLS.2017.2732482","article-title":"Cost-sensitive learning of deep feature representations from imbalanced data","volume":"29","author":"khan","year":"2017","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref33","first-page":"209","article-title":"Deep learning type convolution neural network architecture for multiclass classification of Alzheimer&#x2019;s disease","author":"battineni","year":"2021","journal-title":"Bioimaging"},{"key":"ref32","first-page":"806","article-title":"Efficient image classification for Alzheimer&#x2019;s disease prediction using capsule network","volume":"25","author":"vasukidevi","year":"2021","journal-title":"Annals of the Romanian Society for Cell Biology"},{"key":"ref31","first-page":"580","article-title":"Detection of Alzheimer&#x2019;s disease (AD) in MRI images using deep learning","volume":"10","author":"pradhan","year":"2021","journal-title":"International Journal of Engineering Research and Technology (IJERT)"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3390\/electronics10222860"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.11231"},{"key":"ref36","first-page":"1881","article-title":"Early diagnosis of Alzheimer&#x2019;s disease: A neuroimaging study with deep learning architectures","author":"islam","year":"2018","journal-title":"Proc IEEE\/CVF Conf Comput Vis Pattern Recognit Workshops (CVPRW)"},{"key":"ref35","article-title":"An ensemble of deep convolutional neural networks for Alzheimer&#x2019;s disease detection and classification","author":"islam","year":"2017","journal-title":"arXiv 1712 01675"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1186\/s40708-018-0080-3"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-015-1541-6"},{"key":"ref27","article-title":"OASIS: Cross-sectional, MRI data in young, middle aged, nondemented, and demented, older adults","author":"marcus","year":"0","journal-title":"J Cogn Neurosci"},{"key":"ref29","article-title":"A proposed recognition system for Alzheimer&#x2019;S disease based on deep learning and optimization algorithms","volume":"56","author":"el-aal","year":"2021","journal-title":"J Southwest Jiaotong Univ"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1172\/JCI200317522","article-title":"Neurodegeneration: What is it and where are we","volume":"111","author":"serge","year":"2003","journal-title":"J Clin Invest"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.0000000000005108"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1177\/0972753121990175"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3389\/fninf.2019.00005"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"30","DOI":"10.3389\/fninf.2016.00030","article-title":"Volbrain: An online MRI brain volumetry system","volume":"10","author":"manj\u00f3n","year":"2016","journal-title":"Frontiers in Neuroinformatics"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_53"},{"key":"ref26","first-page":"111e","article-title":"The Alzheimer&#x2019;s disease neuroimaging initiative: A review of papers published since its inception","volume":"9","author":"weiner","year":"0","journal-title":"Alzheimer's &amp; Dementia"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3390\/app10134523"},{"key":"ref50","doi-asserted-by":"crossref","DOI":"10.1088\/1757-899X\/1084\/1\/012017","article-title":"Deep learning based multilevel classification of Alzheimer&#x2019;s disease using MRI scans","volume":"1084","author":"raju","year":"2021","journal-title":"IOP Conf Ser Mater Sci Eng"},{"key":"ref51","doi-asserted-by":"crossref","first-page":"108","DOI":"10.3390\/info11020108","article-title":"Fastai: A layered API for deep learning","volume":"11","author":"howard","year":"2020","journal-title":"Information"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.3390\/s22030740"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.3390\/math10081259"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics11061071"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.114338"},{"key":"ref53","article-title":"Quantifying translation-invariance in convolutional neural networks","author":"kauderer-abrams","year":"2017","journal-title":"arXiv 1801 01450"},{"key":"ref52","author":"dozat","year":"2016","journal-title":"Incorporating nesterov momentum into adam"},{"key":"ref10","first-page":"208","article-title":"Drugs for Alzheimer&#x2019;s disease: Are they effective?","volume":"35","author":"casey","year":"2010","journal-title":"Pharmacology &amp; Therapeutics"},{"key":"ref11","article-title":"Dementia U.K.: Overview","author":"prince","year":"2014"},{"key":"ref40","article-title":"Deep learning using rectified linear units (ReLU)","author":"agarap","year":"2018","journal-title":"arXiv 1803 08375"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1002\/alz.051496"},{"key":"ref13","first-page":"1","article-title":"Machine learning techniques for the diagnosis of Alzheimer&#x2019;s disease: A review","volume":"16","author":"tanveer","year":"2020","journal-title":"ACM Trans Multimedia Comput Commun Appl"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2019.105242"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59710-8_13"},{"key":"ref16","first-page":"145","article-title":"Multiclass classification of Alzheimer&#x2019;s disease using hybrid deep convolutional neural network","volume":"8","author":"suganthe","year":"2021","journal-title":"NVEO-NATURAL VOLATILES & ESSENTIAL OILS Journal | Nveo"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1166\/jmihi.2020.3001"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-015-9847-8"},{"key":"ref19","article-title":"A novel CNN based Alzheimer&#x2019;s disease classification using hybrid enhanced ICA segmented gray matter of MRI","volume":"81","author":"basheera","year":"2020","journal-title":"Computerized Med Imag Graph"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-019-00265-5"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.cger.2017.02.005"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.2147\/IJN.S200490"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2007.02.002"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1097\/WAD.0b013e3182163b62"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s00401-009-0532-1"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.4304\/jsw.3.9.28-35"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3233\/JAD-2010-091579"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2005.50"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/s11222-009-9153-8"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/S0954-1810(01)00002-4"},{"key":"ref47","article-title":"The computational limits of deep learning","author":"thompson","year":"2020","journal-title":"arXiv 2007 05558"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/IECBES.2018.8626714"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref43","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017","journal-title":"arXiv 1704 04861"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09877809.pdf?arnumber=9877809","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,3]],"date-time":"2024-10-03T07:21:22Z","timestamp":1727940082000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9877809\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":58,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3204395","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}