{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T12:18:15Z","timestamp":1742991495421,"version":"3.40.3"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031464386"},{"type":"electronic","value":"9783031464393"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-46439-3_4","type":"book-chapter","created":{"date-parts":[[2024,1,6]],"date-time":"2024-01-06T13:02:23Z","timestamp":1704546143000},"page":"49-62","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Automated Radiotherapy Treatment Planning Optimization: A Comparison Between Robust Optimization and Adaptive Planning"],"prefix":"10.1007","author":[{"given":"Hugo","family":"Ponte","sequence":"first","affiliation":[]},{"given":"Humberto","family":"Rocha","sequence":"additional","affiliation":[]},{"given":"Joana","family":"Dias","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,1,7]]},"reference":[{"key":"4_CR1","unstructured":"Globocan, Cancer facts 2020 (2020). https:\/\/gco.iarc.fr\/today\/data\/factsheets\/cancers\/39-All-cancers-fact-sheet.pdf"},{"key":"4_CR2","doi-asserted-by":"publisher","first-page":"431","DOI":"10.1007\/s10100-013-0289-4","volume":"22","author":"J Dias","year":"2014","unstructured":"Dias, J., Rocha, H., Ferreira, B., Lopes, M.C.: A genetic algorithm with neural network fitness function evaluation for IMRT beam angle optimization. Cent. Eur. J. Oper. 22, 431\u2013455 (2014). https:\/\/doi.org\/10.1007\/s10100-013-0289-4","journal-title":"Cent. Eur. J. Oper."},{"key":"4_CR3","doi-asserted-by":"publisher","first-page":"697","DOI":"10.1016\/0360-3016(93)90399-g","volume":"27","author":"JM Galvin","year":"1993","unstructured":"Galvin, J.M., Chen, X., Smith, R.M.: Combining multileaf fields to modulate fluence distributions. Int. J. Radiat. Oncol. Biol. Phys. 27, 697\u2013705 (1993). https:\/\/doi.org\/10.1016\/0360-3016(93)90399-g","journal-title":"Int. J. Radiat. Oncol. Biol. Phys."},{"key":"4_CR4","doi-asserted-by":"publisher","first-page":"R363","DOI":"10.1088\/0031-9155\/51\/13\/R21","volume":"51","author":"T Bortfeld","year":"2007","unstructured":"Bortfeld, T.: IMRT: a review and preview. Phys. Med. Biol. 51, R363-79 (2007). https:\/\/doi.org\/10.1088\/0031-9155\/51\/13\/R21","journal-title":"Phys. Med. Biol."},{"key":"4_CR5","unstructured":"Rocha H., Dias, J.M.: On the optimization of radiation therapy planning. Inesc Coimbra Research Reports (2009). www.uc.pt\/en\/org\/inescc\/"},{"key":"4_CR6","doi-asserted-by":"publisher","DOI":"10.1118\/1.4875700","volume":"41","author":"M Zarepisheh","year":"2014","unstructured":"Zarepisheh, M., Long, T., Li, N., Tian, Z., Romeijn, H.E., Jia, X., Jiang, S.B.: A DVH-guided IMRT optimization algorithm for automatic treatment planning and adaptive radiotherapy replanning. Med. Phys. 41, 061711 (2014). https:\/\/doi.org\/10.1118\/1.4875700","journal-title":"Med. Phys."},{"key":"4_CR7","doi-asserted-by":"publisher","first-page":"141426","DOI":"10.1109\/ACCESS.2019.2942393","volume":"7","author":"Q Jia","year":"2019","unstructured":"Jia, Q., Li, Y., Wu, A., Guo, F., Qi, M., Mai, Y., Kong, F., Zhen, X., Zhou, L., Song, T.: OAR dose distribution prediction and gEUD based automatic treatment planning optimization for intensity modulated radiotherapy. IEEE Access 7, 141426\u2013141437 (2019). https:\/\/doi.org\/10.1109\/ACCESS.2019.2942393","journal-title":"IEEE Access"},{"key":"4_CR8","doi-asserted-by":"publisher","first-page":"4139","DOI":"10.1002\/mp.14993","volume":"48","author":"BWKM Schipaanboord","year":"2021","unstructured":"Schipaanboord, B.W.K.M., Gizynska, K., Rossi, L., de Vries, K.C., Heijmen, B.J.M., Breedveld, S.: Fully automated treatment planning for MLC-based robotic radiotherapy. Med. Phys. 48, 4139\u20134147 (2021). https:\/\/doi.org\/10.1002\/mp.14993","journal-title":"Med. Phys."},{"key":"4_CR9","doi-asserted-by":"publisher","first-page":"926","DOI":"10.1080\/0284186X.2020.1766697","volume":"59","author":"R Bijman","year":"2020","unstructured":"Bijman, R., Rossi, L., Janssen, T., de Ruiter, P., Carbaat, C., van Triest, B., Breedveld, S., Sonke, J.J., Heijmen, B.: First system for fully-automated multi-criterial treatment planning for a high-magnetic field MR-Linac applied to rectal cancer. Acta. Oncol. 59, 926\u2013932 (2020). https:\/\/doi.org\/10.1080\/0284186X.2020.1766697","journal-title":"Acta. Oncol."},{"key":"4_CR10","doi-asserted-by":"publisher","first-page":"1083","DOI":"10.1118\/1.4941007","volume":"43","author":"J Dias","year":"2016","unstructured":"Dias, J., Rocha, H., Ventura, T., Ferreira, B., Lopes, M.D.C.: Automated fluence map optimization based on fuzzy inference systems. Med. Phys. 43, 1083\u20131095 (2016). https:\/\/doi.org\/10.1118\/1.4941007","journal-title":"Med. Phys."},{"key":"4_CR11","doi-asserted-by":"publisher","DOI":"10.1118\/1.4788659","volume":"40","author":"D Yan","year":"2013","unstructured":"Yan, D., Liang, J.: Expected treatment dose construction and adaptive inverse planning optimization: implementation for offline head and neck cancer adaptive radiotherapy. Med. Phys. 40, 021719 (2013). https:\/\/doi.org\/10.1118\/1.4788659","journal-title":"Med. Phys."},{"key":"4_CR12","doi-asserted-by":"publisher","unstructured":"Murthy, V., Master, Z., Adurkar, P., Mallick, I., Mahantshetty, U., Bakshi, G., Tongaonkar, H., Shrivastava, S.: \u201cPlan of the day\u201d adaptive radiotherapy for bladder cancer using helical tomotherapy. Radiother. Oncol. 99, 55\u201360 (2011). https:\/\/doi.org\/10.1016\/j.radonc.2011.01.027","DOI":"10.1016\/j.radonc.2011.01.027"},{"key":"4_CR13","doi-asserted-by":"publisher","first-page":"960","DOI":"10.1016\/j.ijrobp.2003.12.024","volume":"59","author":"JL Barker","year":"2004","unstructured":"Barker, J.L., Garden, A.S., Ang, K.K., O\u2019Daniel, J.C., Wang, H., Court, L.E., Morrison, W.H., Rosenthal, D.I., Chao, K.S., Tucker, S.L., Mohan, R., Dong, L.: Quantification of volumetric and geometric changes occurring during fractionated radiotherapy for head-and-neck cancer using an integrated CT\/linear accelerator system. Int. J. Radiat. Oncol. Biol. Phys. 59, 960\u201370 (2004). https:\/\/doi.org\/10.1016\/j.ijrobp.2003.12.024","journal-title":"Int. J. Radiat. Oncol. Biol. Phys."},{"key":"4_CR14","doi-asserted-by":"publisher","first-page":"2556","DOI":"10.1002\/mp.12251","volume":"44","author":"HP Wieser","year":"2017","unstructured":"Wieser, H.P., Cisternas, E., Wahl, N., Ulrich, S., Stadler, A., Mescher, H., Muller, L.R., Klinge, T., Gabrys, H., Burigo, L., Mairani, A., Ecker, S., Ackermann, B., Ellerbrock, M., Parodi, K., Jakel, O., Bangert, M.: Development of the open-source dose calculation and optimization toolkit matRad. Med. Phys. 44, 2556\u20132568 (2017). https:\/\/doi.org\/10.1002\/mp.12251","journal-title":"Med. Phys."}],"container-title":["Springer Proceedings in Mathematics &amp; Statistics","Operational Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-46439-3_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,24]],"date-time":"2024-04-24T10:13:09Z","timestamp":1713953589000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-46439-3_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031464386","9783031464393"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-46439-3_4","relation":{},"ISSN":["2194-1009","2194-1017"],"issn-type":[{"type":"print","value":"2194-1009"},{"type":"electronic","value":"2194-1017"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"7 January 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"APDIO","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Congress of the Portuguese Association of Operational Research","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Evora","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","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":"6 November 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 November 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"apdio12022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}