{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T19:29:24Z","timestamp":1775590164030,"version":"3.50.1"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032176103","type":"print"},{"value":"9783032176110","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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\/978-3-032-17611-0_7","type":"book-chapter","created":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T17:13:20Z","timestamp":1771002800000},"page":"64-74","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Radiomic Fingerprints for\u00a0Knee MR Image Assessment"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-5906-899X","authenticated-orcid":false,"given":"Yaxi","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-2780-6118","authenticated-orcid":false,"given":"Simin","family":"Ni","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5004-0663","authenticated-orcid":false,"given":"Shaheer U.","family":"Saeed","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-4113-8928","authenticated-orcid":false,"given":"Aleksandra","family":"Ivanova","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0953-8443","authenticated-orcid":false,"given":"Rikin","family":"Hargunani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7951-2217","authenticated-orcid":false,"given":"Jie","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9854-4043","authenticated-orcid":false,"given":"Chaozong","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4902-0486","authenticated-orcid":false,"given":"Yipeng","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,2,14]]},"reference":[{"key":"7_CR1","doi-asserted-by":"crossref","unstructured":"Al\u00a0Mohammad, B., Gharaibeh, M.A.: Magnetic resonance imaging of anterior cruciate ligament injury. Orthopedic Res. Rev., 233\u2013242 (2024)","DOI":"10.2147\/ORR.S450336"},{"key":"7_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2021.106609","volume":"215","author":"AA Ardakani","year":"2022","unstructured":"Ardakani, A.A., Bureau, N.J., Ciaccio, E.J., Acharya, U.R.: Interpretation of radiomics features-a pictorial review. Comput. Methods Programs Biomed. 215, 106609 (2022)","journal-title":"Comput. Methods Programs Biomed."},{"issue":"11","key":"7_CR3","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pmed.1002699","volume":"15","author":"N Bien","year":"2018","unstructured":"Bien, N., et al.: Deep-learning-assisted diagnosis for knee magnetic resonance imaging: development and retrospective validation of mrnet. PLoS Med. 15(11), e1002699 (2018)","journal-title":"PLoS Med."},{"issue":"1","key":"7_CR4","doi-asserted-by":"publisher","first-page":"156","DOI":"10.1038\/s41746-022-00699-2","volume":"5","author":"H Chen","year":"2022","unstructured":"Chen, H., Gomez, C., Huang, C.M., Unberath, M.: Explainable medical imaging ai needs human-centered design: guidelines and evidence from a systematic review. NPJ Digital Med. 5(1), 156 (2022)","journal-title":"NPJ Digital Med."},{"key":"7_CR5","doi-asserted-by":"crossref","unstructured":"Chen, Y., et al.: Patient-specific radiomic feature selection with reconstructed healthy persona of knee mr images. arXiv preprint arXiv:2503.13131 (2025)","DOI":"10.1007\/978-3-032-05185-1_43"},{"key":"7_CR6","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"issue":"1","key":"7_CR7","doi-asserted-by":"publisher","first-page":"10942","DOI":"10.1038\/s41598-021-90555-2","volume":"11","author":"K Kobayashi","year":"2021","unstructured":"Kobayashi, K., Miyake, M., Takahashi, M., Hamamoto, R.: Observing deep radiomics for the classification of glioma grades. Sci. Rep. 11(1), 10942 (2021)","journal-title":"Sci. Rep."},{"key":"7_CR8","unstructured":"Lavrova, E., Woodruff, H.C., Khan, H., Salmon, E., Lambin, P., Phillips, C.: A review of handcrafted and deep radiomics in neurological diseases: transitioning from oncology to clinical neuroimaging. arXiv preprint arXiv:2407.13813 (2024)"},{"key":"7_CR9","doi-asserted-by":"crossref","unstructured":"Manna, S., Bhattacharya, S., Pal, U.: Self-supervised representation learning for knee injury diagnosis from magnetic resonance data. IEEE Trans. Artifi. Intell. (2023)","DOI":"10.36227\/techrxiv.21382737.v1"},{"issue":"3","key":"7_CR10","doi-asserted-by":"publisher","first-page":"278","DOI":"10.1016\/j.cmpb.2009.09.002","volume":"98","author":"M Modat","year":"2010","unstructured":"Modat, M., Ridgway, G.R., Taylor, Z.A., Lehmann, M., Barnes, J., Hawkes, D.J., et al.: Fast free-form deformation using graphics processing units. Comput. Methods Programs Biomed. 98(3), 278\u2013284 (2010)","journal-title":"Comput. Methods Programs Biomed."},{"issue":"2","key":"7_CR11","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1080\/00913847.2015.1016865","volume":"43","author":"M Salzler","year":"2015","unstructured":"Salzler, M., et al.: State-of-the-art anterior cruciate ligament tears: a primer for primary care physicians. Phys. Sportsmedicine 43(2), 169\u2013177 (2015)","journal-title":"Phys. Sportsmedicine"},{"key":"7_CR12","unstructured":"Tsai, C.H., Kiryati, N., Konen, E., Eshed, I., Mayer, A.: Knee injury detection using mri with efficiently-layered network (elnet). In: Medical Imaging with Deep Learning, pp. 784\u2013794. PMLR (2020)"},{"issue":"21","key":"7_CR13","doi-asserted-by":"publisher","first-page":"e104","DOI":"10.1158\/0008-5472.CAN-17-0339","volume":"77","author":"JJ Van Griethuysen","year":"2017","unstructured":"Van Griethuysen, J.J., et al.: Computational radiomics system to decode the radiographic phenotype. Can. Res. 77(21), e104\u2013e107 (2017)","journal-title":"Can. Res."},{"issue":"10","key":"7_CR14","doi-asserted-by":"publisher","first-page":"1834","DOI":"10.3390\/sym15101834","volume":"15","author":"W Zhang","year":"2023","unstructured":"Zhang, W., Guo, Y., Jin, Q.: Radiomics and its feature selection: a review. Symmetry 15(10), 1834 (2023)","journal-title":"Symmetry"}],"container-title":["Lecture Notes in Computer Science","Interpretability of Machine Intelligence in Medical Image Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-17611-0_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T17:13:24Z","timestamp":1771002804000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-17611-0_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032176103","9783032176110"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-17611-0_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"14 February 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"iMIMIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Interpretability of Machine Intelligence in Medical Image Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Daejeon","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Korea (Republic of)","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":"27 September 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 September 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"imimic2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/imimic-workshop.com\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}