{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T18:58:17Z","timestamp":1754161097417,"version":"3.41.2"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031995675"},{"type":"electronic","value":"9783031995682"}],"license":[{"start":{"date-parts":[[2025,7,29]],"date-time":"2025-07-29T00:00:00Z","timestamp":1753747200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,7,29]],"date-time":"2025-07-29T00:00:00Z","timestamp":1753747200000},"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":[[2026]]},"DOI":"10.1007\/978-3-031-99568-2_8","type":"book-chapter","created":{"date-parts":[[2025,7,28]],"date-time":"2025-07-28T15:15:05Z","timestamp":1753715705000},"page":"95-107","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["AI-Based System for\u00a0Assistance in\u00a0Minimally Invasive Renal Procedures Using Mixed Reality. First Steps"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9144-0698","authenticated-orcid":false,"given":"Emilio","family":"Delgado","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2822-0323","authenticated-orcid":false,"given":"Daniel","family":"Caballero","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-5889-0658","authenticated-orcid":false,"given":"Luc\u00eda","family":"Salazar-Carrasco","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-8913-0292","authenticated-orcid":false,"given":"Ignacio","family":"S\u00e1nchez-Varo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-5529-4018","authenticated-orcid":false,"given":"Jes\u00fas","family":"Le\u00f3n-Regalado","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0100-2695","authenticated-orcid":false,"given":"Juan A.","family":"S\u00e1nchez-Margallo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6545-0913","authenticated-orcid":false,"given":"Roberto","family":"Rodr\u00edguez-Echeverria","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2138-988X","authenticated-orcid":false,"given":"Francisco M.","family":"S\u00e1nchez-Margallo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,7,29]]},"reference":[{"key":"8_CR1","doi-asserted-by":"publisher","DOI":"10.2196\/58108","volume":"27","author":"FJ Celdran","year":"2025","unstructured":"Celdran, F.J., Jimenez-Ruescas, J., Lobato, C., Salazar, L., S\u00e1nchez-Margallo, J.A., S\u00e1nchez-Margallo, F.M., et al.: Use of augmented reality for training assistance in laparoscopic surgery: scoping literature review. J. Med. Internet Res. 27, e58108 (2025). https:\/\/doi.org\/10.2196\/58108","journal-title":"J. Med. Internet Res."},{"key":"8_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.soc.2018.07.001","volume":"28","author":"J Chang","year":"2019","unstructured":"Chang, J., Rattner, D.W.: History of minimally invasive surgical oncology. Surg. Oncol. Clin. N. Am. 28, 1\u20139 (2019). https:\/\/doi.org\/10.1016\/j.soc.2018.07.001","journal-title":"Surg. Oncol. Clin. N. Am."},{"key":"8_CR3","doi-asserted-by":"publisher","unstructured":"Chen, Z., Guo, X., Guo, P.Y.M., Yuan, Y.: Super-resolution enhanced medical image diagnosis with sample affinity interaction. IEEE Trans. Med. Imaging 40, 1377\u20131389 (2021). https:\/\/doi.org\/10.1109\/TMI.2021.3055290","DOI":"10.1109\/TMI.2021.3055290"},{"key":"8_CR4","doi-asserted-by":"publisher","first-page":"4047","DOI":"10.1049\/ipr2.13232","volume":"18","author":"E Delgado","year":"2024","unstructured":"Delgado, E., Echeverria, R.R., Fern\u00e1ndez-Garc\u00eda, A.J., Gut\u00ederrez, J.D., \u00c1ngel Suero-Rodrigo, M.: Advancing precision in medical image segmentation: a performance analysis of loss functions for covid-19 lung infection segmentation in computed tomography images. IET Image Proc. 18, 4047\u20134065 (2024). https:\/\/doi.org\/10.1049\/ipr2.13232","journal-title":"IET Image Proc."},{"key":"8_CR5","doi-asserted-by":"publisher","unstructured":"He, Y., et al.: Vista3d: a unified segmentation foundation model for 3D medical imaging (2024). https:\/\/doi.org\/10.48550\/arxiv.2406.05285","DOI":"10.48550\/arxiv.2406.05285"},{"key":"8_CR6","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1038\/s41592-020-01008-z","volume":"18","author":"F Isensee","year":"2020","unstructured":"Isensee, F., Jaeger, P.F., Kohl, S.A., Petersen, J., Maier-Hein, K.H.: nnu-net: a self-configuring method for deep learning-based biomedical image segmentation. Nat. Methods 18, 203\u2013211 (2020). https:\/\/doi.org\/10.1038\/s41592-020-01008-z","journal-title":"Nat. Methods"},{"key":"8_CR7","doi-asserted-by":"publisher","DOI":"10.1136\/bmjopen-2019-031768","volume":"10","author":"MD Jensen","year":"2020","unstructured":"Jensen, M.D., Siersma, V., Rasmussen, J.F., Brodersen, J.: Direct and indirect healthcare costs of lung cancer CT screening in Denmark: a registry study. BMJ Open 10, e031768 (2020). https:\/\/doi.org\/10.1136\/bmjopen-2019-031768","journal-title":"BMJ Open"},{"key":"8_CR8","doi-asserted-by":"publisher","first-page":"913","DOI":"10.1016\/j.eururo.2015.01.005","volume":"67","author":"B Ljungberg","year":"2015","unstructured":"Ljungberg, B., Bensalah, K., Canfield, S., Dabestani, S., Hofmann, F., Hora, M., et al.: EAU guidelines on renal cell carcinoma: 2014 update. Eur. Urol. 67, 913\u2013924 (2015). https:\/\/doi.org\/10.1016\/j.eururo.2015.01.005","journal-title":"Eur. Urol."},{"key":"8_CR9","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1038\/s41592-023-02151-z","volume":"21","author":"L Maier-Hein","year":"2024","unstructured":"Maier-Hein, L., Reinke, A., Godau, P., Tizabi, M.D., Buettner, F., Christodoulou, E., et al.: Metrics reloaded: recommendations for image analysis validation. Nat. Methods 21, 195\u2013212 (2024). https:\/\/doi.org\/10.1038\/s41592-023-02151-z","journal-title":"Nat. Methods"},{"key":"8_CR10","doi-asserted-by":"publisher","DOI":"10.1017\/pcm.2022.9","volume":"1","author":"WC McGough","year":"2023","unstructured":"McGough, W.C., Sanchez, L.E., McCague, C., Stewart, G.D., Schonlieb, C.B., Sala, E., et al.: Artificial intelligence for early detection of renal cancer in computed tomography: a review. Precis. Med. 1, e4 (2023). https:\/\/doi.org\/10.1017\/pcm.2022.9","journal-title":"Precis. Med."},{"key":"8_CR11","doi-asserted-by":"publisher","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-net: convolutional networks for biomedical image segmentation (2015). https:\/\/doi.org\/10.48550\/arxiv.1505.04597","DOI":"10.48550\/arxiv.1505.04597"},{"issue":"9","key":"8_CR12","doi-asserted-by":"publisher","first-page":"1341","DOI":"10.1007\/s00345-018-2286-7","volume":"36","author":"SH Rossi","year":"2018","unstructured":"Rossi, S.H., Klatte, T., Usher-Smith, J., Stewart, G.D.: Epidemiology and screening for renal cancer. World J. Urol. 36(9), 1341\u20131353 (2018). https:\/\/doi.org\/10.1007\/s00345-018-2286-7","journal-title":"World J. Urol."},{"key":"8_CR13","doi-asserted-by":"publisher","DOI":"10.1049\/htl2.12110","volume":"12","author":"L Salazar-Carrasco","year":"2025","unstructured":"Salazar-Carrasco, L., Sanchez-Varo, I., Caballero, D., Iribar-Zabala, A., Bertelsen-Simonetti, A., S\u00e1nchez-Margallo, J.A., et al.: System for assistance in ultrasound-guided percutaneous hepatic interventions using augmented reality: first steps. Healthc. Technol. Lett. 12, e12110 (2025). https:\/\/doi.org\/10.1049\/htl2.12110","journal-title":"Healthc. Technol. Lett."},{"key":"8_CR14","doi-asserted-by":"publisher","DOI":"10.3389\/frvir.2021.692641","volume":"2","author":"JA S\u00e1nchez-Margallo","year":"2022","unstructured":"S\u00e1nchez-Margallo, J.A., Plaza-De-Miguel, C., Fern\u00e1ndez-Anzules, R.A., S\u00e1nchez-Margallo, F.M.: Application of mixed reality in medical training and surgical planning focused on minimally invasive surgery. Front. Virtual Reality 2, e692641 (2022). https:\/\/doi.org\/10.3389\/frvir.2021.692641","journal-title":"Front. Virtual Reality"},{"key":"8_CR15","doi-asserted-by":"publisher","unstructured":"Wasserthal, J., et al.: Totalsegmentator: robust segmentation of 104 anatomic structures in CT images. Radiol. Artif. Intell. 5 (2023). https:\/\/doi.org\/10.1148\/RYAI.230024\/ASSET\/IMAGES\/LARGE\/RYAI.230024.FIG6.JPEG","DOI":"10.1148\/RYAI.230024\/ASSET\/IMAGES\/LARGE\/RYAI.230024.FIG6.JPEG"},{"key":"8_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/J.MEDIA.2023.102996","volume":"91","author":"S Zhang","year":"2024","unstructured":"Zhang, S., Metaxas, D.: On the challenges and perspectives of foundation models for medical image analysis. Med. Image Anal. 91, 102996 (2024). https:\/\/doi.org\/10.1016\/J.MEDIA.2023.102996","journal-title":"Med. Image Anal."}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition and Image Analysis"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-99568-2_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,28]],"date-time":"2025-07-28T15:15:06Z","timestamp":1753715706000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-99568-2_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,29]]},"ISBN":["9783031995675","9783031995682"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-99568-2_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025,7,29]]},"assertion":[{"value":"29 July 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"IbPRIA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Iberian Conference on Pattern Recognition and Image Analysis","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Coimbra","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":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 July 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 July 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ibpria2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ibpria.org\/2025\/?page=home","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}