{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T01:22:31Z","timestamp":1768872151746,"version":"3.49.0"},"reference-count":27,"publisher":"Elsevier BV","issue":"2","license":[{"start":{"date-parts":[[2008,3,1]],"date-time":"2008-03-01T00:00:00Z","timestamp":1204329600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Engineering Applications of Artificial Intelligence"],"published-print":{"date-parts":[[2008,3]]},"DOI":"10.1016\/j.engappai.2007.04.005","type":"journal-article","created":{"date-parts":[[2007,6,12]],"date-time":"2007-06-12T11:11:25Z","timestamp":1181646685000},"page":"129-140","source":"Crossref","is-referenced-by-count":24,"title":["Model-free visualization of suspicious lesions in breast MRI based on supervised and unsupervised learning"],"prefix":"10.1016","volume":"21","author":[{"given":"Thorsten","family":"Twellmann","sequence":"first","affiliation":[]},{"given":"Anke","family":"Meyer-Baese","sequence":"additional","affiliation":[]},{"given":"Oliver","family":"Lange","sequence":"additional","affiliation":[]},{"given":"Simon","family":"Foo","sequence":"additional","affiliation":[]},{"given":"Tim W.","family":"Nattkemper","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"8","key":"10.1016\/j.engappai.2007.04.005_bib1","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1016\/S0304-3835(01)00508-0","article-title":"Feature extraction and classification of breast cancer on dynamic magnetic resonance imaging using artificial neural network","volume":"171","author":"Abdolmaleki","year":"2001","journal-title":"Cancer Letters"},{"key":"10.1016\/j.engappai.2007.04.005_bib2","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.acra.2005.08.035","article-title":"A fuzzy c-means (FCM)-based approach for computerized segmentation of breast lesions in dynamic contrast-enhanced MR images","volume":"13","author":"Chen","year":"2006","journal-title":"Academic Radiology"},{"issue":"5","key":"10.1016\/j.engappai.2007.04.005_bib3","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1109\/MEMB.2004.1360410","article-title":"Dynamic magnetic resonance imaging of tumor perfusion","volume":"23","author":"Collins","year":"2004","journal-title":"IEEE Engineering in Medicine and Biology Magazine"},{"key":"10.1016\/j.engappai.2007.04.005_bib4","series-title":"An Introduction to Support Vector Machines and other Kernel-based Learning Methods","author":"Cristiani","year":"2000"},{"key":"10.1016\/j.engappai.2007.04.005_bib5","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1055\/s-2008-1032652","article-title":"Signal characteristics of malignant and benign lesions in dynamic 2D-MRI of the breast","volume":"158","author":"Fischer","year":"1993","journal-title":"RoeFo"},{"issue":"2","key":"10.1016\/j.engappai.2007.04.005_bib6","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1148\/radiology.171.1.2648479","article-title":"MR imaging of the breast: fast imaging sequences with and without Gd-DTPA","volume":"171","author":"Heywang","year":"1989","journal-title":"Radiology"},{"issue":"4","key":"10.1016\/j.engappai.2007.04.005_bib7","doi-asserted-by":"crossref","first-page":"506","DOI":"10.1002\/mrm.1910330408","article-title":"Pharamcokinetic mapping of the breast. A new method for dynamic MR mammography","volume":"33","author":"Hoffmann","year":"1995","journal-title":"Magnetic Resonance in Medicine"},{"issue":"7","key":"10.1016\/j.engappai.2007.04.005_bib8","doi-asserted-by":"crossref","first-page":"1485","DOI":"10.2214\/ajr.179.6.1791485","article-title":"Clinical testing of high-spatial-resolution parametric contrast-enhanced MR imaging of the breast","volume":"179","author":"Kelcz","year":"2002","journal-title":"American Journal of Roentgenology"},{"issue":"2","key":"10.1016\/j.engappai.2007.04.005_bib9","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1148\/radiology.211.1.r99ap38101","article-title":"Dynamic breast MR imaging: are signal intensity time course data useful for differential diagnosis of enhancing lesions?","volume":"211","author":"Kuhl","year":"1999","journal-title":"Radiology"},{"issue":"8","key":"10.1016\/j.engappai.2007.04.005_bib10","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/S0730-725X(01)00222-3","article-title":"Classification of signal-time curves from dynamic (MR) mammography by neural networks","volume":"19","author":"Lucht","year":"2001","journal-title":"Magnetic Resonance Imaging"},{"issue":"8","key":"10.1016\/j.engappai.2007.04.005_bib11","first-page":"89","article-title":"Neural network-based segmentation of dynamic (MR) mammography images","volume":"20","author":"Lucht","year":"2002","journal-title":"Magnetic Resonance Imaging"},{"key":"10.1016\/j.engappai.2007.04.005_bib12","series-title":"Pattern Recognition for Medical Imaging","author":"Meyer-B\u00e4se","year":"2003"},{"key":"10.1016\/j.engappai.2007.04.005_bib13","doi-asserted-by":"crossref","unstructured":"Meyer-B\u00e4se, A., Wism\u00fcller, A., Lange, O., Leinsinger, G., 2005. Computer-aided diagnosis in breast MRI based on unsupervised clustering techniques. In: Intelligent Computing: Theory and Applications II. Proceedings of the SPIE, vol. 5421, pp. 29\u201337.","DOI":"10.1117\/12.542249"},{"key":"10.1016\/j.engappai.2007.04.005_bib14","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1148\/radiology.220.1.r01jl3113","article-title":"MR imaging of the breast for the detection, diagnosis, and staging of breast cancer","volume":"220","author":"Orel","year":"2001","journal-title":"Radiology"},{"issue":"3","key":"10.1016\/j.engappai.2007.04.005_bib15","doi-asserted-by":"crossref","first-page":"1249","DOI":"10.1109\/18.144705","article-title":"Vector quantization by deterministic annealing","volume":"38","author":"Rose","year":"1992","journal-title":"IEEE Transactions on Information Theory"},{"issue":"8","key":"10.1016\/j.engappai.2007.04.005_bib16","doi-asserted-by":"crossref","first-page":"435","DOI":"10.1016\/j.compmedimag.2004.07.004","article-title":"Interactive detection and visualisation of breast lesions from dynamic enhanced MRI volumes","volume":"28","author":"Subramaninan","year":"2004","journal-title":"Computerized Medical Imaging and Graphics"},{"key":"10.1016\/j.engappai.2007.04.005_bib17","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1002\/(SICI)1522-2586(199909)10:3<223::AID-JMRI2>3.0.CO;2-S","article-title":"Estimating kinetic parameters from dynamic contrast enhanced T1-weighted MRI of a diffusible tracer: standardized quantities and symbols","volume":"10","author":"Tofts","year":"1999","journal-title":"Journal of Magnetic Resonance Imaging"},{"issue":"12","key":"10.1016\/j.engappai.2007.04.005_bib18","doi-asserted-by":"crossref","first-page":"1293","DOI":"10.1109\/42.974924","article-title":"Feature extraction and classification of dynamic contrast-enhanced T2-weighted breast image data","volume":"20","author":"Torheim","year":"2001","journal-title":"IEEE Transactions on Medical Imaging"},{"issue":"35","key":"10.1016\/j.engappai.2007.04.005_bib19","article-title":"Image fusion for dynamic contrast-enhanced magnetic resonance imaging","volume":"3","author":"Twellmann","year":"2004","journal-title":"BMC BioMedical Engineering OnLine"},{"key":"10.1016\/j.engappai.2007.04.005_bib20","unstructured":"Twellmann, T., Saalbach, A., M\u00fcller, C., Nattkemper, T.W., Wism\u00fcller, A., 2004b. Detection of suspicious lesions in dynamic contrast-enhanced MRI data. In: Proceedings of EMBC 2004."},{"issue":"12","key":"10.1016\/j.engappai.2007.04.005_bib21","doi-asserted-by":"crossref","first-page":"1256","DOI":"10.1109\/TMI.2005.854517","article-title":"An adaptive tissue characterization network for model-free visualization of dynamic contrast-enhanced magnetic resonance image data","volume":"24","author":"Twellmann","year":"2005","journal-title":"IEEE Transactions on Medical Imaging"},{"key":"10.1016\/j.engappai.2007.04.005_bib22","series-title":"The Nature of Statistical Learning Theory","author":"Vapnik","year":"1995"},{"key":"10.1016\/j.engappai.2007.04.005_bib23","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1148\/radiology.210.1.r99ja18233","article-title":"Breast fibroadenoma: mapping of pathophysiologic features with three-time-point, contrast-enhanced MR imaging\u2014pilot study","volume":"210","author":"Weinstein","year":"1999","journal-title":"Radiology"},{"issue":"2","key":"10.1016\/j.engappai.2007.04.005_bib24","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1023\/A:1013550313321","article-title":"Cluster analysis of biomedical image time-series","volume":"46","author":"Wism\u00fcller","year":"2002","journal-title":"International Journal on Computer Vision"},{"issue":"1","key":"10.1016\/j.engappai.2007.04.005_bib25","doi-asserted-by":"crossref","DOI":"10.1117\/1.2178776","article-title":"Segmentation and classification of dynamic breast magnetic resonance image data","volume":"15","author":"Wism\u00fcller","year":"2006","journal-title":"Journal of Electronic Imaging"},{"issue":"12","key":"10.1016\/j.engappai.2007.04.005_bib26","doi-asserted-by":"crossref","first-page":"647","DOI":"10.1097\/00004424-200212000-00002","article-title":"Independent component analysis for the examination of dynamic contrast-enhanced breast magnetic resonance imaging data","volume":"37","author":"Yoo","year":"2002","journal-title":"Investigative Radiology"},{"issue":"2","key":"10.1016\/j.engappai.2007.04.005_bib27","doi-asserted-by":"crossref","first-page":"761","DOI":"10.1148\/radiology.150.3.6695077","article-title":"Magnetic resonance imaging of the breast","volume":"150","author":"Yousef","year":"1984","journal-title":"Radiology"}],"container-title":["Engineering Applications of Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0952197607000528?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0952197607000528?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2019,4,29]],"date-time":"2019-04-29T01:54:29Z","timestamp":1556502869000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0952197607000528"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008,3]]},"references-count":27,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2008,3]]}},"alternative-id":["S0952197607000528"],"URL":"https:\/\/doi.org\/10.1016\/j.engappai.2007.04.005","relation":{},"ISSN":["0952-1976"],"issn-type":[{"value":"0952-1976","type":"print"}],"subject":[],"published":{"date-parts":[[2008,3]]}}}