{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T20:58:34Z","timestamp":1771102714915,"version":"3.50.1"},"reference-count":98,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2017,9,1]],"date-time":"2017-09-01T00:00:00Z","timestamp":1504224000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Multimedia"],"published-print":{"date-parts":[[2017,9]]},"DOI":"10.1109\/tmm.2017.2729400","type":"journal-article","created":{"date-parts":[[2017,7,19]],"date-time":"2017-07-19T18:07:47Z","timestamp":1500487667000},"page":"2093-2104","source":"Crossref","is-referenced-by-count":55,"title":["Retrieval From and Understanding of Large-Scale Multi-modal Medical Datasets: A Review"],"prefix":"10.1109","volume":"19","author":[{"given":"Henning","family":"Muller","sequence":"first","affiliation":[]},{"given":"Devrim","family":"Unay","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2016.01.001"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2015.7319008"},{"key":"ref33","first-page":"550","article-title":"Autoencoding the retrieval relevance of medical images","author":"\u00e7amlica","year":"0","journal-title":"Proc Int Conf Image Process Theory Tools Appl"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2016.2592329"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2014.2365494"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-011-0643-8"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2016.2623840"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.5220\/0006202105570566"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2016.10.023"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2016.7727562"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2014.2361481"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.07.011"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2012.2185829"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2578680"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s13278-016-0362-9"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24471-6_10"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-015-9809-1"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2015.2461671"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.05.036"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1186\/1475-925X-14-6"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.09.041"},{"key":"ref51","article-title":"Visualizing and enhancing a deep learning framework using patients age and gender for chest x-ray image retrieval","volume":"9785","author":"anavi","year":"0","journal-title":"Proc SPIE"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-23708-9_12"},{"key":"ref58","article-title":"Overview of the ImageCLEF 2013 medical tasks","author":"garc\u00eda seco de herrera","year":"2013"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.4018\/978-1-4666-2833-5.ch018"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.11.008"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2014.2375491"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-016-3261-1"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2014.05.006"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2010.2063711"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1118\/1.4966030"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1177\/146045829900500107"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1148\/rg.226025058"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-010-9290-9"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2003.11.024"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2281020126"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CBMI.2015.7153618"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-013-9619-2"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2015.04.003"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2011.5872776"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CBMS.2015.16"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ISM.2015.21"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2012.6235925"},{"key":"ref42","first-page":"2028","article-title":"High-level feature based pet image retrieval with deep learning architecture","volume":"55","author":"liu","year":"2014","journal-title":"J Nucl Med"},{"key":"ref41","article-title":"Deeply learnt hashing forests for content based image retrieval in prostate MR images","volume":"9784","author":"shah","year":"0","journal-title":"Proc SPIE"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2016.7493401"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICARCV.2014.7064415"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.18359\/rmed.1184"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1016\/j.jalz.2012.06.004"},{"key":"ref71","first-page":"23","article-title":"Khresmoi for radiologists—Visual search in radiology archives and the open-access medical literature","volume":"13","author":"markonis","year":"2013","journal-title":"Health Management"},{"key":"ref70","first-page":"349","article-title":"Crowdsourcing for reference correspondence generation in endoscopic images","author":"maier-hein","year":"2014","journal-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention"},{"key":"ref76","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1007\/978-3-642-15181-1_6","article-title":"Fusion techniques for combining textual and visual information retrieval","volume":"32","author":"depeursinge","year":"2010","journal-title":"ImageCLEF"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1145\/2598394.2598395"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-010-9290-9"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2009.2038152"},{"key":"ref78","first-page":"248","article-title":"ImageNet: A large-scale hierarchical image database","author":"deng","year":"0","journal-title":"Proc IEEE Conf Comput Vis Pattern Recog"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.07.005"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-27814-6_31"},{"key":"ref62","article-title":"Recording and analyzing benchmarking results: The aims of the mediaEval working notes proceedings","author":"larson","year":"0","journal-title":"Proc Mediaeval Workshop"},{"key":"ref61","first-page":"1","article-title":"TRECVID 2003: An overview","author":"smeaton","year":"0","journal-title":"Proc TRECVID 2003"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2014.2377694"},{"key":"ref64","article-title":"Bringing the algorithms to the data: Cloud-based benchmarking for medical image analysis","author":"hanbury","year":"2012","journal-title":"International Conference of the Cross- Language Evaluation Forum for European Languages"},{"key":"ref65","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-319-24471-6_10","article-title":"Overview of the VISCERAL retrieval benchmark 2015","volume":"9059","author":"jimenez-del-toro","year":"2015","journal-title":"Multimodal Retrieval in the Medical Domain (MRMD) 2015"},{"key":"ref66","first-page":"163","article-title":"Creating a large-scale silver corpus from multiple algorithmic segmentations","volume":"8848","author":"krenn","year":"2014","journal-title":"Proc MICCAI Workshop Med Comput Vis Algorithms Big Data MCV"},{"key":"ref67","article-title":"Evaluation-as-a-service: Overview and outlook","author":"hanbury","year":"2015","journal-title":"CoRR"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1145\/2390803.2390808"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1197\/jamia.M2273"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1007\/s11606-013-2536-8"},{"key":"ref1","article-title":"Riding the wave: How Europe can gain from the rising tide of scientific data","year":"2010"},{"key":"ref95","article-title":"Making sense of large datasets without annotations: Analyzing age-related correlations from lung CT scans","volume":"10138","author":"cid","year":"0","journal-title":"Proc SPIE"},{"key":"ref94","doi-asserted-by":"crossref","first-page":"408","DOI":"10.1016\/j.procs.2015.04.021","article-title":"A survey of big data analytics in healthcare and government","volume":"50","author":"archenaa","year":"2015","journal-title":"Procedia Comput Sci"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1016\/j.bdr.2015.02.002"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/370194"},{"key":"ref91","first-page":"239","article-title":"Big data for all: Privacy and user control in the age of analytics","volume":"11","author":"tene","year":"2013","journal-title":"Northwest J of Technol Intellect Prop"},{"key":"ref90","first-page":"762","article-title":"Big data security and privacy issues in healthcare","author":"patil","year":"0","journal-title":"Proc IEEE Int Congr Big Data"},{"key":"ref98","article-title":"The socio-economic impact of mobile health","year":"2012"},{"key":"ref96","article-title":"Special section guest editorial: Radiomics and imaging genomics: Quantitative imaging for precision medicine","volume":"2","author":"napel","year":"2015","journal-title":"Imag Med"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2011.2173585"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/34.895972"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/1348246.1348248"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2281021654"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2007.02.002"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2009.12.001"},{"key":"ref15","author":"hughes","year":"2010","journal-title":"European Textbook on Ethics in Research"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1201\/b14770-26"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1038\/srep24454"},{"key":"ref17","article-title":"Report on the testing and analysis of an investigation into the comparative efficiency of indexing systems","author":"cleverdon","year":"1962"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2528162"},{"key":"ref18","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-15181-1","volume":"32","author":"m\u00fcller","year":"2010","journal-title":"ImageCLEF Experimental Evaluation in Visual Information Retrieval"},{"key":"ref84","first-page":"403","article-title":"A deep learning architecture for image representation, visual interpretability and automated basal-cell carcinoma cancer detection","author":"cruz-roa","year":"2013","journal-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2009.2013851"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.4103\/2153-3539.186902"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2553401"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1186\/2047-2501-2-3"},{"key":"ref85","article-title":"The ‘big data’ revolution in healthcare: Accelerating value and innovation","author":"groves","year":"2013"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2009.01.050"},{"key":"ref87","first-page":"696","article-title":"Why most published research findings are false","volume":"2","author":"ioanidis","year":"2005","journal-title":"PLoS ONE"},{"key":"ref88","first-page":"71","article-title":"A review on big data security and privacy in healthcare applications","author":"khan","year":"2017","journal-title":"Managing big data"}],"container-title":["IEEE Transactions on Multimedia"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6046\/8010475\/07984864.pdf?arnumber=7984864","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:03:48Z","timestamp":1642003428000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7984864\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,9]]},"references-count":98,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/tmm.2017.2729400","relation":{},"ISSN":["1520-9210","1941-0077"],"issn-type":[{"value":"1520-9210","type":"print"},{"value":"1941-0077","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,9]]}}}