{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T11:22:22Z","timestamp":1774610542883,"version":"3.50.1"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783031161582","type":"print"},{"value":"9783031161599","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-16159-9_1","type":"book-chapter","created":{"date-parts":[[2022,8,31]],"date-time":"2022-08-31T11:02:48Z","timestamp":1661943768000},"page":"3-16","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Trustworthy Applications of\u00a0ML Algorithms in\u00a0Medicine - Discussion and\u00a0Preliminary Results for\u00a0a\u00a0Problem of\u00a0Small Vessels Disease Diagnosis"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9286-0670","authenticated-orcid":false,"given":"Ferlin","family":"Maria","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6915-5041","authenticated-orcid":false,"given":"Klawikowska","family":"Zuzanna","sequence":"additional","affiliation":[]},{"given":"Niemierko","family":"Julia","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6533-5774","authenticated-orcid":false,"given":"Grzywi\u0144ska","family":"Ma\u0142gorzata","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7803-0010","authenticated-orcid":false,"given":"Kwasigroch","family":"Arkadiusz","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7042-4381","authenticated-orcid":false,"given":"Szurowska","family":"Edyta","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2453-2410","authenticated-orcid":false,"given":"Grochowski","family":"Micha\u0142","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,9,1]]},"reference":[{"key":"1_CR1","doi-asserted-by":"publisher","unstructured":"Bali, J., Bali, O.: Artificial intelligence applications in medicine: a rapid overview of current paradigms. EMJ Innov. 73\u201381 (2020). https:\/\/doi.org\/10.33590\/emjinnov\/19-00167. ISSN 2513-8634","DOI":"10.33590\/emjinnov\/19-00167"},{"issue":"1","key":"1_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41746-020-0221-y","volume":"3","author":"RT Sutton","year":"2020","unstructured":"Sutton, R.T., Pincock, D., Baumgart, D.C., Sadowski, D.C., Fedorak, R.N., Kroeker, K.I.: An overview of clinical decision support systems: benefits, risks, and strategies for success. NPJ Digit. Med. 3(1), 1\u201310 (2020). https:\/\/doi.org\/10.1038\/s41746-020-0221-y. ISSN 2398-6352","journal-title":"NPJ Digit. Med."},{"key":"1_CR3","doi-asserted-by":"publisher","unstructured":"Chen, L., et al.: Rapid automated quantification of cerebral leukoaraiosis on CT images: a multicenter validation study. Radiology 288(2), 573\u2013581 (2018). https:\/\/doi.org\/10.1148\/radiol.2018171567. ISSN 0033-8419, 1527-1315","DOI":"10.1148\/radiol.2018171567"},{"key":"1_CR4","doi-asserted-by":"publisher","unstructured":"Angelov, P.P., Soares, E.A., Jiang, R., Arnold, N.I., Atkinson, P.M.: Explainable artificial intelligence: an analytical review. WIREs Data Mining Knowl. Discov. 11(5) (2021). https:\/\/doi.org\/10.1002\/widm.1424. ISSN 1942-4787, 1942-4795","DOI":"10.1002\/widm.1424"},{"issue":"7","key":"1_CR5","doi-asserted-by":"publisher","first-page":"689","DOI":"10.1016\/S1474-4422(10)70104-6","volume":"9","author":"L Pantoni","year":"2010","unstructured":"Pantoni, L.: Cerebral small vessel disease: from pathogenesis and clinical characteristics to therapeutic challenges. Lancet Neurol. 9(7), 689\u2013701 (2010). https:\/\/doi.org\/10.1016\/S1474-4422(10)70104-6. ISSN 1474-4422","journal-title":"Lancet Neurol."},{"issue":"8","key":"1_CR6","doi-asserted-by":"publisher","first-page":"822","DOI":"10.1016\/S1474-4422(13)70124-8","volume":"12","author":"JM Wardlaw","year":"2013","unstructured":"Wardlaw, J.M., et al.: Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration. Lancet Neurol. 12(8), 822\u2013838 (2013). https:\/\/doi.org\/10.1016\/S1474-4422(13)70124-8. ISSN 1474-4422","journal-title":"Lancet Neurol."},{"issue":"1","key":"1_CR7","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1038\/jcbfm.2015.172","volume":"36","author":"GA Rosenberg","year":"2016","unstructured":"Rosenberg, G.A., et al.: Consensus statement for diagnosis of subcortical small vessel disease. J. Cereb. Blood Flow Metab. 36(1), 6\u201325 (2016). https:\/\/doi.org\/10.1038\/jcbfm.2015.172. ISSN 0271-678X, 1559-7016","journal-title":"J. Cereb. Blood Flow Metab."},{"issue":"1","key":"1_CR8","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1111\/j.1747-4949.2011.00725.x","volume":"7","author":"C Moran","year":"2012","unstructured":"Moran, C., Phan, T.G., Srikanth, V.K.: Cerebral small vessel disease: a review of clinical, radiological, and histopathological phenotypes. Int. J. Stroke 7(1), 36\u201346 (2012). https:\/\/doi.org\/10.1111\/j.1747-4949.2011.00725.x. ISSN 1747-4930, 1747-4949","journal-title":"Int. J. Stroke"},{"issue":"5","key":"1_CR9","doi-asserted-by":"publisher","first-page":"483","DOI":"10.1016\/S1474-4422(13)70060-7","volume":"12","author":"JM Wardlaw","year":"2013","unstructured":"Wardlaw, J.M., Smith, C., Dichgans, M.: Mechanisms of sporadic cerebral small vessel disease: insights from neuroimaging. Lancet Neurol. 12(5), 483\u2013497 (2013). https:\/\/doi.org\/10.1016\/S1474-4422(13)70060-7. ISSN 1474-4422","journal-title":"Lancet Neurol."},{"issue":"3","key":"1_CR10","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1136\/svn-2016-000035","volume":"1","author":"Y Shi","year":"2016","unstructured":"Shi, Y., Wardlaw, J.M.: Upyear on cerebral small vessel disease: a dynamic whole-brain disease. BMJ 1(3), 83\u201392 (2016). https:\/\/doi.org\/10.1136\/svn-2016-000035. ISSN 2059-8688, 2059-8696","journal-title":"BMJ"},{"issue":"2","key":"1_CR11","doi-asserted-by":"publisher","first-page":"351","DOI":"10.2214\/ajr.149.2.351","volume":"149","author":"F Fazekas","year":"1987","unstructured":"Fazekas, F., Chawluk, J., Alavi, A., Hurtig, H., Zimmerman, R.: MR signal abnormalities at 1.5 T in Alzheimer\u2019s dementia and normal aging. Am. J. Roentgenol. 149(2), 351\u2013356 (1987). https:\/\/doi.org\/10.2214\/ajr.149.2.351. ISSN 0361-803X, 1546-3141","journal-title":"Am. J. Roentgenol."},{"issue":"2","key":"1_CR12","doi-asserted-by":"publisher","first-page":"359","DOI":"10.1161\/STROKEAHA.110.594754","volume":"42","author":"GM Potter","year":"2011","unstructured":"Potter, G.M., Marlborough, F.J., Wardlaw, J.M.: Wide variation in definition, detection, and description of lacunar lesions on imaging. Stroke 42(2), 359\u2013366 (2011). https:\/\/doi.org\/10.1161\/STROKEAHA.110.594754. ISSN 0039-2499, 1524-4628","journal-title":"Stroke"},{"issue":"9","key":"1_CR13","doi-asserted-by":"publisher","first-page":"1105","DOI":"10.1001\/jamaneurol.2017.1397","volume":"74","author":"J Ding","year":"2017","unstructured":"Ding, J., et al.: Large perivascular spaces visible on magnetic resonance imaging, cerebral small vessel disease progression, and risk of dementia: the age, gene\/environment susceptibility-reykjavik study. JAMA Neurol. 74(9), 1105 (2017). https:\/\/doi.org\/10.1001\/jamaneurol.2017.1397. ISSN 2168-6149","journal-title":"JAMA Neurol."},{"issue":"12","key":"1_CR14","doi-asserted-by":"publisher","first-page":"e1294","DOI":"10.1212\/WNL.0000000000009141","volume":"94","author":"AA Al Olama","year":"2020","unstructured":"Al Olama, A.A., et al.: Simple MRI score aids prediction of dementia in cerebral small vessel disease. Neurology 94(12), e1294\u2013e1302 (2020). https:\/\/doi.org\/10.1212\/WNL.0000000000009141. ISSN 0028-3878, 1526-632X","journal-title":"Neurology"},{"key":"1_CR15","doi-asserted-by":"publisher","unstructured":"Miko\u0142ajczyk, A., Grochowski, M., Kwasigroch, A.: Towards explainable classifiers using the counterfactual approach - global explanations for discovering bias in data, no. arXiv:2005.02269 (2020). https:\/\/doi.org\/10.48550\/arXiv.2005.02269","DOI":"10.48550\/arXiv.2005.02269"},{"key":"1_CR16","doi-asserted-by":"publisher","unstructured":"Sorantin, E., et al.: The augmented radiologist: artificial intelligence in the practice of radiology. Pediatr. Radiol. (2021). https:\/\/doi.org\/10.1007\/s00247-021-05177-7. ISSN 0301-0449, 1432-1998","DOI":"10.1007\/s00247-021-05177-7"},{"key":"1_CR17","doi-asserted-by":"publisher","unstructured":"The Precise4Q consortium, Amann, J., Blasimme, A., Vayena, E., Frey, D., Madai, V.I.: Explainability for artificial intelligence in healthcare: a multidisciplinary perspective. BMC Medical Inform. Decis. Mak. 20(1), 310 (2020). https:\/\/doi.org\/10.1186\/s12911-020-01332-6. ISSN 1472-6947","DOI":"10.1186\/s12911-020-01332-6"},{"key":"1_CR18","doi-asserted-by":"publisher","first-page":"102111","DOI":"10.1016\/j.cbpa.2021.102111","volume":"66","author":"Q Liu","year":"2022","unstructured":"Liu, Q., Hu, P.: Extendable and explainable deep learning for pan-cancer radiogenomics research. Curr. Opin. Chem. Biol. 66, 102111 (2022). https:\/\/doi.org\/10.1016\/j.cbpa.2021.102111. ISSN 1367-5931","journal-title":"Curr. Opin. Chem. Biol."},{"key":"1_CR19","doi-asserted-by":"publisher","first-page":"103514","DOI":"10.1016\/j.dsp.2022.103514","volume":"126","author":"SSA Zaidi","year":"2022","unstructured":"Zaidi, S.S.A., Ansari, M.S., Aslam, A., Kanwal, N., Asghar, M., Lee, B.: A survey of modern deep learning based object detection models. Digit. Signal Process. 126, 103514 (2022). https:\/\/doi.org\/10.1016\/j.dsp.2022.103514. ISSN 1051-2004","journal-title":"Digit. Signal Process."},{"key":"1_CR20","doi-asserted-by":"publisher","first-page":"302","DOI":"10.1016\/j.neucom.2019.11.118","volume":"406","author":"S Hao","year":"2020","unstructured":"Hao, S., Zhou, Y., Guo, Y.: A brief survey on semantic segmentation with deep learning. Neurocomputing 406, 302\u2013321 (2020). https:\/\/doi.org\/10.1016\/j.neucom.2019.11.118. ISSN 0925-2312","journal-title":"Neurocomputing"},{"issue":"1","key":"1_CR21","doi-asserted-by":"publisher","first-page":"2","DOI":"10.3390\/technologies9010002","volume":"9","author":"A Jaiswal","year":"2020","unstructured":"Jaiswal, A., Babu, A.R., Zadeh, M.Z., Banerjee, D., Makedon, F.: A survey on contrastive self-supervised learning. Technologies 9(1), 2 (2020). https:\/\/doi.org\/10.3390\/technologies9010002. ISSN 2227-7080","journal-title":"Technologies"},{"key":"1_CR22","doi-asserted-by":"publisher","first-page":"103612","DOI":"10.1016\/j.compind.2022.103612","volume":"137","author":"D Schuster","year":"2022","unstructured":"Schuster, D., van Zelst, S.J., van der Aalst, W.M.: Utilizing domain knowledge in data-driven process discovery: a literature review. Comput. Ind. 137, 103612 (2022). https:\/\/doi.org\/10.1016\/j.compind.2022.103612. ISSN 0166-3615","journal-title":"Comput. Ind."},{"issue":"18","key":"1_CR23","doi-asserted-by":"publisher","first-page":"2208","DOI":"10.3390\/electronics10182208","volume":"10","author":"MA Ferlin","year":"2021","unstructured":"Ferlin, M.A., et al.: A comprehensive analysis of deep neural-based cerebral microbleeds detection system. Electronics 10(18), 2208 (2021). https:\/\/doi.org\/10.3390\/electronics10182208. ISSN 2079-9292","journal-title":"Electronics"},{"key":"1_CR24","unstructured":"GoogleAI: Responsible AI practices. https:\/\/ai.google\/responsibilities\/responsible-ai-practices?category=general. Accessed 14 May 2022"}],"container-title":["Lecture Notes in Networks and Systems","Intelligent and Safe Computer Systems in Control and Diagnostics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-16159-9_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,26]],"date-time":"2022-09-26T10:04:26Z","timestamp":1664186666000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-16159-9_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,1]]},"ISBN":["9783031161582","9783031161599"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-16159-9_1","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"value":"2367-3370","type":"print"},{"value":"2367-3389","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,9,1]]},"assertion":[{"value":"1 September 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DPS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Diagnostics of Processes and Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chmielno","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Poland","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 September 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 September 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dps2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/dps2022.konsulting.gda.pl\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}