{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T15:28:21Z","timestamp":1759332501175,"version":"3.40.3"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030588014"},{"type":"electronic","value":"9783030588021"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-58802-1_5","type":"book-chapter","created":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T15:07:37Z","timestamp":1601564857000},"page":"60-74","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Classification of Active Multiple Sclerosis Lesions in MRI Without the Aid of Gadolinium-Based Contrast Using Textural and Enhanced Features from FLAIR Images"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1467-559X","authenticated-orcid":false,"given":"Paulo G. L.","family":"Freire","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9032-9712","authenticated-orcid":false,"given":"Marcos Hideki","family":"Idagawa","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4939-7200","authenticated-orcid":false,"given":"Enedina Maria Lobato","family":"de Oliveira","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0421-0959","authenticated-orcid":false,"given":"Nitamar","family":"Abdala","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2972-163X","authenticated-orcid":false,"suffix":"Jr.","given":"Henrique","family":"Carrete","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1197-2553","authenticated-orcid":false,"given":"Ricardo J.","family":"Ferrari","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,10,2]]},"reference":[{"issue":"6","key":"5_CR1","first-page":"700","volume":"113","author":"AA Ardakani","year":"2017","unstructured":"Ardakani, A.A., Nabavi, S., Farzan, A., Najafabad, B.: Quantitative MRI texture analysis in differentiating enhancing and non-enhancing T1-hypointense lesions without application of contrast agent in multiple sclerosis. Czech and Slovak Neurol. Neurosurg. 113(6), 700\u2013707 (2017)","journal-title":"Czech and Slovak Neurol. Neurosurg."},{"key":"5_CR2","doi-asserted-by":"crossref","unstructured":"Bennett, J., Lanning, S.: The Netflix prize. In: KDD Cup and Workshop in Conjunction with KDD (2007)","DOI":"10.1145\/1345448.1345459"},{"key":"5_CR3","doi-asserted-by":"crossref","unstructured":"Buades, A., Coll, B., Morel, J.-M.: A non-local algorithm for image denoising. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 60\u201365 (2005)","DOI":"10.1109\/CVPR.2005.38"},{"key":"5_CR4","doi-asserted-by":"publisher","first-page":"1078","DOI":"10.1016\/j.mri.2016.05.005","volume":"34","author":"L Burke","year":"2016","unstructured":"Burke, L., Ramalho, M., AlObaidy, M., Chang, E., Jay, M., Semelka, R.: Self-reported gadolinium toxicity: a survey of patients with chronic symptoms. Magn. Reson. Imaging 34, 1078\u20131080 (2016)","journal-title":"Magn. Reson. Imaging"},{"key":"5_CR5","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1016\/j.neuroimage.2016.12.064","volume":"148","author":"A Carass","year":"2017","unstructured":"Carass, A., et al.: Longitudinal multiple sclerosis lesion segmentation: resource and challenge. NeuroImage 148, 77\u2013102 (2017)","journal-title":"NeuroImage"},{"issue":"12","key":"5_CR6","doi-asserted-by":"publisher","first-page":"1061","DOI":"10.1016\/j.crad.2004.07.008","volume":"59","author":"G Castellano","year":"2004","unstructured":"Castellano, G., Bonilha, L., LM, L., Cendes, F.: Texture analysis of medical images. Clin. Radiol. 59(12), 1061\u20131069 (2004)","journal-title":"Clin. Radiol."},{"key":"5_CR7","doi-asserted-by":"crossref","unstructured":"Chen, T., Guestrin, C.: XGBoost: a scalable tree boosting system. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2016, pp. 785\u2013794. ACM, New York (2016)","DOI":"10.1145\/2939672.2939785"},{"key":"5_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1007\/978-3-319-75238-9_2","volume-title":"Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries","author":"A Doyle","year":"2018","unstructured":"Doyle, A., Elliott, C., Karimaghaloo, Z., Subbanna, N., Arnold, D.L., Arbel, T.: Lesion detection, segmentation and prediction in multiple sclerosis clinical trials. In: Crimi, A., Bakas, S., Kuijf, H., Menze, B., Reyes, M. (eds.) BrainLes 2017. LNCS, vol. 10670, pp. 15\u201328. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-75238-9_2"},{"key":"5_CR9","volume-title":"Pattern Classification","author":"OR Duda","year":"2000","unstructured":"Duda, O.R., Hart, P.E., Stork, D.G.: Pattern Classification, 2nd edn. Wiley-Interscience, Hoboken (2000)","edition":"2"},{"key":"5_CR10","unstructured":"European Medicines Agency: EMA reviewing gadolinium contrast agents used in MRI scans (2016). http:\/\/bit.ly\/EuropeanMedicinesAgency-2016. Accessed 02 Apr 2017"},{"key":"5_CR11","unstructured":"European Medicines Agency: EMA\u2019s final opinion confirms restrictions on use of linear gadolinium agents in body scans, July 2017. http:\/\/bit.ly\/EuropeanMedicinesAgency2017. Accessed 01 July 2019"},{"key":"5_CR12","doi-asserted-by":"publisher","first-page":"338","DOI":"10.1016\/j.bspc.2018.12.021","volume":"49","author":"PGL Freire","year":"2019","unstructured":"Freire, P.G.L., Ferrari, R.J.: Multiple sclerosis lesion enhancement and white matter region estimation using hyperintensities in FLAIR images. Biomed. Signal Process. Control 49, 338\u2013348 (2019)","journal-title":"Biomed. Signal Process. Control"},{"issue":"6","key":"5_CR13","doi-asserted-by":"publisher","first-page":"610","DOI":"10.1109\/TSMC.1973.4309314","volume":"3","author":"R Haralick","year":"1973","unstructured":"Haralick, R., Shanmugam, K., Dinstein, I.: Textural feature for image classification. IEEE Trans. Syst. Man Cybern. 3(6), 610\u2013621 (1973)","journal-title":"IEEE Trans. Syst. Man Cybern."},{"issue":"11","key":"5_CR14","doi-asserted-by":"publisher","first-page":"1590","DOI":"10.1007\/s00247-016-3646-3","volume":"46","author":"HH Hu","year":"2016","unstructured":"Hu, H.H., Pokorney, A., Towbin, R.B., Miller, J.H.: Increased signal intensities in the dentate nucleus and globus pallidus on unenhanced T1-weighted images: evidence in children undergoing multiple gadolinium MRI exams. Pediatr. Radiol. 46(11), 1590\u20131598 (2016). https:\/\/doi.org\/10.1007\/s00247-016-3646-3","journal-title":"Pediatr. Radiol."},{"issue":"4","key":"5_CR15","doi-asserted-by":"publisher","first-page":"1074","DOI":"10.1007\/s00415-015-7689-4","volume":"262","author":"L Jonkman","year":"2015","unstructured":"Jonkman, L., et al.: Can MS lesion stages be distinguished with MRI? A portmortem MRI and histopathology study. J. Neurol. 262(4), 1074\u20131080 (2015). https:\/\/doi.org\/10.1007\/s00415-015-7689-4","journal-title":"J. Neurol."},{"issue":"2","key":"5_CR16","doi-asserted-by":"publisher","first-page":"772","DOI":"10.1007\/s00330-016-4418-z","volume":"27","author":"M Kromrey","year":"2016","unstructured":"Kromrey, M., et al.: Intravenous injection of gadobutrol in an epidemiological study group did not lead to a difference in relative signal intensities of certain brain structures after 5 years. Eur. Radiol. 27(2), 772\u2013777 (2016). https:\/\/doi.org\/10.1007\/s00330-016-4418-z","journal-title":"Eur. Radiol."},{"key":"5_CR17","doi-asserted-by":"crossref","unstructured":"Lewis, P.A., Spillane, J.E.: Chapter 7 - Multiple Sclerosis. In: Lewis, P.A., Spillane, J.E. (eds.) The Molecular and Clinical Pathology of Neurodegenerative Disease, pp. 221\u2013251. Academic Press (2019)","DOI":"10.1016\/B978-0-12-811069-0.00007-0"},{"key":"5_CR18","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1016\/j.media.2017.07.005","volume":"42","author":"G Litjens","year":"2017","unstructured":"Litjens, G., et al.: A survey on deep learning in medical image analysis. Med. Image Anal. 42, 60\u201388 (2017)","journal-title":"Med. Image Anal."},{"issue":"42","key":"5_CR19","first-page":"99","volume":"2015","author":"CP Loizou","year":"2014","unstructured":"Loizou, C.P., Petroudi, S., Seimenis, I., Pantziaris, M., Pattichis, C.S.: Quantitative texture analysis of brain white matter lesions derived from T2-weighted MR images in MS patients with clinically isolated syndrome. J. Neuroradiol. 2015(42), 99\u2013114 (2014)","journal-title":"J. Neuroradiol."},{"issue":"12","key":"5_CR20","doi-asserted-by":"publisher","first-page":"e0145497","DOI":"10.1371\/journal.pone.0145497","volume":"10","author":"N Michoux","year":"2015","unstructured":"Michoux, N., Guillet, A., Rommel, D., Mazzamuto, G., Sindic, C., Duprez, T.: Texture analysis of T2-weighted MR images to assess acute inflammation in brain MS lesions. PLoS One 10(12), e0145497 (2015)","journal-title":"PLoS One"},{"key":"5_CR21","unstructured":"Multiple Sclerosis International Federation: 2013 Atlas of MS (2013). http:\/\/www.msif.org\/about-us\/advocacy\/atlas\/. Accessed 01 Dec 2015"},{"issue":"2","key":"5_CR22","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1109\/42.836373","volume":"19","author":"LG Nyul","year":"2000","unstructured":"Nyul, L.G., Udupa, J., Zhang, X.: New variants of a method of MRI scale standardization. IEEE Trans. Med. Imaging 19(2), 143\u2013150 (2000)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"5_CR23","doi-asserted-by":"crossref","unstructured":"Tustison, N., Gee, J.: N4ITK: Nick\u2019s N3 ITK implementation for MRI bias field correction. Penn Image Computing and Science Laboratory (2009)","DOI":"10.54294\/jculxw"},{"key":"5_CR24","unstructured":"U.S. Food and Drug Administration: FDA Drug Safety Communication: FDA evaluating the risk of brain deposits with repeated use of gadolinium-based contrast agents for magnetic resonance imaging (MRI) (2015). http:\/\/www.fda.gov\/Drugs\/DrugSafety\/ucm455386.htm. Accessed 07 May 2018"},{"key":"5_CR25","unstructured":"U.S. Food and Drug Administration: FDA warns that gadolinium-based contrast agents (GBCAs) are retained in the body; requires new class warnings, May 2017. https:\/\/www.fda.gov\/media\/109825\/download. Accessed 01 July 2019"},{"key":"5_CR26","unstructured":"U.S. Food and Drug Administration: Update on FDA approach to safety issue of gadolinium retention after administration of gadolinium-based contrast agents, September 2018. https:\/\/www.fda.gov\/media\/116492\/download. Accessed 01 July 2019"},{"issue":"6","key":"5_CR27","doi-asserted-by":"publisher","first-page":"478","DOI":"10.1007\/s11547-015-0614-1","volume":"121","author":"B Beomonte Zobel","year":"2015","unstructured":"Beomonte Zobel, B., Quattrocchi, C.C., Errante, Y., Grasso, R.F.: Gadolinium-based contrast agents: did we miss something in the last 25\u00a0years? Radiol. Med. 121(6), 478\u2013481 (2015). https:\/\/doi.org\/10.1007\/s11547-015-0614-1","journal-title":"Radiol. Med."}],"container-title":["Lecture Notes in Computer Science","Computational Science and Its Applications \u2013 ICCSA 2020"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-58802-1_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,15]],"date-time":"2024-08-15T08:01:02Z","timestamp":1723708862000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-58802-1_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030588014","9783030588021"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-58802-1_5","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"2 October 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCSA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Science and Its Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cagliari","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 July 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 July 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccsa2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.iccsa.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Cyber chair 4","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1450","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"466","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"32","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"32% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.5","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"6","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Conference was held virtually due to COVID-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}