{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,30]],"date-time":"2025-12-30T23:56:06Z","timestamp":1767138966682,"version":"build-2238731810"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319912615","type":"print"},{"value":"9783319912622","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","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":[[2018]]},"DOI":"10.1007\/978-3-319-91262-2_12","type":"book-chapter","created":{"date-parts":[[2018,5,10]],"date-time":"2018-05-10T09:22:44Z","timestamp":1525944164000},"page":"127-136","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Analytical Realization of the EM Algorithm for Emission Positron Tomography"],"prefix":"10.1007","author":[{"given":"Robert","family":"Cierniak","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Piotr","family":"Dobosz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Piotr","family":"Pluta","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zbigniew","family":"Filutowicz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,5,11]]},"reference":[{"issue":"3","key":"12_CR1","doi-asserted-by":"publisher","first-page":"534","DOI":"10.1109\/78.193196","volume":"41","author":"K Sauer","year":"1993","unstructured":"Sauer, K., Bouman, C.: A local update strategy for iterative reconstruction from projections. IEEE Trans. Signal Process. 41(3), 534\u2013548 (1993)","journal-title":"IEEE Trans. Signal Process."},{"issue":"2","key":"12_CR2","doi-asserted-by":"publisher","first-page":"290","DOI":"10.1109\/42.293921","volume":"13","author":"JA Fessler","year":"1994","unstructured":"Fessler, J.A.: Penalized weighted least-squares image reconstruction for positron emission tomography. IEEE Trans. Med. Imaging 13(2), 290\u2013300 (1994)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"2","key":"12_CR3","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1109\/TMI.1982.4307558","volume":"MI\u20131","author":"LA Shepp","year":"1982","unstructured":"Shepp, L.A., Vardi, Y.: Maximum likelihood reconstruction for emission tomography. IEEE Trans. Med. Imaging MI\u20131(2), 113\u2013122 (1982)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"1","key":"12_CR4","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1109\/42.52985","volume":"9","author":"PJ Green","year":"1990","unstructured":"Green, P.J.: Bayesian reconstructions from emission tomography data using a modified EM algorithm. IEEE Trans. Med. Imaging 9(1), 84\u201393 (1990)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"12_CR5","doi-asserted-by":"publisher","first-page":"3238","DOI":"10.1016\/j.neucom.2009.02.005","volume":"72","author":"R Cierniak","year":"2009","unstructured":"Cierniak, R.: New neural network algorithm for image reconstruction from fan-beam projections. Neurocomputing 72, 3238\u20133244 (2009)","journal-title":"Neurocomputing"},{"issue":"2","key":"12_CR6","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1016\/j.artmed.2008.03.003","volume":"43","author":"R Cierniak","year":"2008","unstructured":"Cierniak, R.: A new approach to tomographic image reconstruction using a Hopfield-type neural network. Int. J. Artif. Intell. Med. 43(2), 113\u2013125 (2008)","journal-title":"Int. J. Artif. Intell. Med."},{"key":"12_CR7","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"505","DOI":"10.1007\/978-3-642-13208-7_63","volume-title":"Artificial Intelligence and Soft Computing","author":"R Cierniak","year":"2010","unstructured":"Cierniak, R.: A three-dimentional neural network based approach to the image reconstruction from projections problem. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2010. LNCS (LNAI), vol. 6113, pp. 505\u2013514. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-13208-7_63"},{"key":"12_CR8","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"890","DOI":"10.1007\/11785231_93","volume-title":"Artificial Intelligence and Soft Computing \u2013 ICAISC 2006","author":"R Cierniak","year":"2006","unstructured":"Cierniak, R.: A novel approach to image reconstruction from discrete projections using Hopfield-type neural network. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., \u017burada, J.M. (eds.) ICAISC 2006. LNCS (LNAI), vol. 4029, pp. 890\u2013898. Springer, Heidelberg (2006). https:\/\/doi.org\/10.1007\/11785231_93"},{"issue":"2","key":"12_CR9","doi-asserted-by":"publisher","first-page":"147","DOI":"10.2478\/v10006-008-0014-y","volume":"183","author":"R Cierniak","year":"2008","unstructured":"Cierniak, R.: A new approach to image reconstruction from projections problem using a recurrent neural network. Int. J. Appl. Math. Comput. Sci. 183(2), 147\u2013157 (2008)","journal-title":"Int. J. Appl. Math. Comput. Sci."},{"key":"12_CR10","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"752","DOI":"10.1007\/978-3-540-69731-2_72","volume-title":"Artificial Intelligence and Soft Computing \u2013 ICAISC 2008","author":"R Cierniak","year":"2008","unstructured":"Cierniak, R.: A novel approach to image reconstruction problem from fan-beam projections using recurrent neural network. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2008. LNCS (LNAI), vol. 5097, pp. 752\u2013761. Springer, Heidelberg (2008). https:\/\/doi.org\/10.1007\/978-3-540-69731-2_72"},{"key":"12_CR11","doi-asserted-by":"publisher","first-page":"375","DOI":"10.1007\/s13246-011-0089-x","volume":"34","author":"R Cierniak","year":"2011","unstructured":"Cierniak, R.: Neural network algorithm for image reconstruction using the grid-friendly projections. Australas. Phys. Eng. Sci. Med. 34, 375\u2013389 (2011)","journal-title":"Australas. Phys. Eng. Sci. Med."},{"issue":"1","key":"12_CR12","first-page":"7","volume":"24","author":"R Cierniak","year":"2014","unstructured":"Cierniak, R.: An analytical iterative statistical algorithm for image reconstruction from projections. Appl. Math. Comput. Sci. 24(1), 7\u201317 (2014)","journal-title":"Appl. Math. Comput. Sci."},{"issue":"1","key":"12_CR13","doi-asserted-by":"publisher","first-page":"5","DOI":"10.2478\/jaiscr-2014-0021","volume":"4","author":"JL Chu","year":"2014","unstructured":"Chu, J.L., Krzy\u017aak, A.: The recognition of partially occluded objects with support vector machines, convolutional neural networks and deep belief networks. J. Artif. Intell. Soft Comput. Res. 4(1), 5\u201319 (2014)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"issue":"1","key":"12_CR14","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1515\/jaiscr-2016-0001","volume":"6","author":"E Bas","year":"2016","unstructured":"Bas, E.: The training of multiplicative neuron model artificial neural networks with differential evolution algorithm for forecasting. J. Artif. Intell. Soft Comput. Res. 6(1), 5\u201311 (2016)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"issue":"1","key":"12_CR15","doi-asserted-by":"publisher","first-page":"43","DOI":"10.2478\/jaiscr-2014-0024","volume":"4","author":"M Chen","year":"2014","unstructured":"Chen, M., Ludwig, S.A.: Particle swarm optimization based fuzzy clustering approach to identify optimal number of clusters. J. Artif. Intell. Soft Comput. Res. 4(1), 43\u201356 (2014)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"issue":"4","key":"12_CR16","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1515\/jaiscr-2015-0031","volume":"5","author":"MH Aghdam","year":"2015","unstructured":"Aghdam, M.H., Heidari, S.: Feature selection using particle swarm optimization in text categorization. J. Artif. Intell. Soft Comput. Res. 5(4), 231\u2013238 (2015)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"issue":"4","key":"12_CR17","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1515\/jaiscr-2015-0032","volume":"5","author":"AF El-Samak","year":"2015","unstructured":"El-Samak, A.F., Ashour, W.: Optimization of traveling salesman problem using affinity propagation clustering and genetic algorithm. J. Artif. Intell. Soft Comput. Res. 5(4), 239\u2013245 (2015)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"issue":"2","key":"12_CR18","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1515\/jaiscr-2016-0009","volume":"6","author":"M Leon","year":"2016","unstructured":"Leon, M., Xiong, N.: Adapting differential evolution algorithms for continuous optimization via greedy adjustment of control parameters. J. Artif. Intell. Soft Comput. Res. 6(2), 103\u2013118 (2016)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"issue":"4","key":"12_CR19","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1515\/jaiscr-2015-0035","volume":"5","author":"H Miyajima","year":"2015","unstructured":"Miyajima, H., Shigei, N., Miyajima, H.: Performance comparison of hybrid electromagnetism-like mechanism algorithms with descent method. J. Artif. Intell. Soft Comput. Res. 5(4), 271\u2013282 (2015)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"issue":"1","key":"12_CR20","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1515\/jaiscr-2016-0005","volume":"6","author":"A Rutkowska","year":"2016","unstructured":"Rutkowska, A.: Influence of membership function\u2019s shape on portfolio optimization results. J. Artif. Intell. Soft Comput. Res. 6(1), 45\u201354 (2016)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"issue":"4","key":"12_CR21","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1515\/jaiscr-2017-0019","volume":"7","author":"G Bologna","year":"2017","unstructured":"Bologna, G., Hayashi, Y.: Characterization of symbolic rules embedded in deep DIMLP networks: a challenge to transparency of deep learning. J. Artif. Intell. Soft Comput. Res. 7(4), 265\u2013286 (2017)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"issue":"4","key":"12_CR22","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1515\/jaiscr-2017-0017","volume":"7","author":"G Notomista","year":"2017","unstructured":"Notomista, G., Botsch, M.: A machine learning approach for the segmentation of driving maneuvers and its application in autonomous parking. J. Artif. Intell. Soft Comput. Res. 7(4), 243\u2013255 (2017)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"issue":"3","key":"12_CR23","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1515\/jaiscr-2017-0013","volume":"7","author":"C Rotar","year":"2017","unstructured":"Rotar, C., Iantovics, L.B.: Directed evolution - a new metaheuristc for optimization. J. Artif. Intell. Soft Comput. Res. 7(3), 183\u2013200 (2017)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"issue":"2","key":"12_CR24","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1515\/jaiscr-2017-0009","volume":"7","author":"O Chang","year":"2017","unstructured":"Chang, O., Constante, P., Gordon, A., Singana, M.: A novel deep neural network that uses space-time features for tracking and recognizing a moving object. J. Artif. Intell. Soft Comput. Res. 7(2), 125\u2013136 (2017)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"issue":"2","key":"12_CR25","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1515\/jaiscr-2017-0008","volume":"7","author":"H Liu","year":"2017","unstructured":"Liu, H., Gegov, A., Cocea, M.: Rule based networks: an efficient and interpretable representation of computational models. J. Artif. Intell. Soft Comput. Res. 7(2), 111\u2013123 (2017)","journal-title":"J. Artif. Intell. Soft Comput. Res."}],"updated-by":[{"DOI":"10.1007\/978-3-319-91262-2_71","type":"correction","label":"Correction","source":"publisher","updated":{"date-parts":[[2019,1,19]],"date-time":"2019-01-19T00:00:00Z","timestamp":1547856000000}}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence and Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-91262-2_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T06:29:00Z","timestamp":1710311340000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-91262-2_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319912615","9783319912622"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-91262-2_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"11 May 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"19 January 2019","order":2,"name":"change_date","label":"Change Date","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"Correction","order":3,"name":"change_type","label":"Change Type","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"In the original version the name of the 4th author was incorrectly stated as \u201cPiotr Filutowicz\u201d. It was corrected to \u201cZbigniew Filutowicz\u201d.","order":4,"name":"change_details","label":"Change Details","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICAISC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Intelligence and Soft Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Zakopane","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":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 June 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 June 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icaisc2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/icaisc.eu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}