{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T01:34:13Z","timestamp":1790300053088,"version":"4.1.0"},"reference-count":37,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T00:00:00Z","timestamp":1774915200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T00:00:00Z","timestamp":1774915200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000980","name":"Arthritis Foundation","doi-asserted-by":"publisher","award":["R01AR075422"],"award-info":[{"award-number":["R01AR075422"]}],"id":[{"id":"10.13039\/100000980","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000980","name":"Arthritis Foundation","doi-asserted-by":"publisher","award":["K25AR078928"],"award-info":[{"award-number":["K25AR078928"]}],"id":[{"id":"10.13039\/100000980","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance in Med"],"published-print":{"date-parts":[[2026,8]]},"abstract":"<jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>Quantitative MRI analysis holds significant promise for improving the early diagnosis and prognosis of osteoarthritis (OA), where accurate tissue and lesion segmentation is a critical step for reliable quantification. In particular, bone marrow edema\u2010like lesions (BMELs) are associated with OA, but accurate segmentation methods remain elusive.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A fully automated pipeline\u00a0\u2013\u00a0Segmentation of Clinical images with Ensembling, Morphology, and Attention (SCEMA)\u00a0\u2013\u00a0was developed for segmenting bone, cartilage, and BMEL from standard clinical knee MRI. SCEMA leveraged a UNet\u2010based network enhanced with an added attention mechanism, model ensembling, and morphological postprocessing. A range of network architectures, model configurations, and post\u2010processing pipelines were evaluated to find the optimal model. Statistical analyses on the segmentation annotations were also conducted, assessing the size and quality of BMEL lesions.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The model achieved testing Dice similarity coefficients (DSC) of 0.684, 0.966, 0.830, 0.956, and 0.770 for BMEL, femur bone, femoral cartilage, tibia bone, and tibial cartilage respectively. For BMEL, the model performance was found to be more strongly correlated with BMEL quality than size.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Fully automatic, high\u2010quality anatomical and lesion segmentation was attained from standard clinical knee MRI. For reproducibility, BMEL quality labels and segmentation annotations were shared with the public.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/mrm.70365","type":"journal-article","created":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T17:21:13Z","timestamp":1774977673000},"page":"918-927","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Multi\u2010label Ensemble Model for Knee Joint Anatomy and Lesion Segmentation: Segmentation of Clinical Images With Ensembling, Morphology, and Attention (SCEMA)"],"prefix":"10.1002","volume":"96","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-6987-4646","authenticated-orcid":false,"given":"Andrew Seohwan","family":"Yu","sequence":"first","affiliation":[{"name":"Program of Advanced Musculoskeletal Imaging Cleveland Clinic  Cleveland Ohio USA"},{"name":"Department of Biomedical Engineering Cleveland Clinic  Cleveland Ohio USA"},{"name":"Department of Computer and Data Sciences Case Western Reserve University  Cleveland Ohio USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8902-6316","authenticated-orcid":false,"given":"Mingrui","family":"Yang","sequence":"additional","affiliation":[{"name":"Program of Advanced Musculoskeletal Imaging Cleveland Clinic  Cleveland Ohio USA"},{"name":"Department of Biomedical Engineering Cleveland Clinic  Cleveland Ohio USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kunio","family":"Nakamura","sequence":"additional","affiliation":[{"name":"Program of Advanced Musculoskeletal Imaging Cleveland Clinic  Cleveland Ohio USA"},{"name":"Department of Biomedical Engineering Cleveland Clinic  Cleveland Ohio USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Richard","family":"Lartey","sequence":"additional","affiliation":[{"name":"Program of Advanced Musculoskeletal Imaging Cleveland Clinic  Cleveland Ohio USA"},{"name":"Department of Biomedical Engineering Cleveland Clinic  Cleveland Ohio USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sercan","family":"Tosun","sequence":"additional","affiliation":[{"name":"Program of Advanced Musculoskeletal Imaging Cleveland Clinic  Cleveland Ohio USA"},{"name":"Department of Biomedical Engineering Cleveland Clinic  Cleveland Ohio USA"},{"name":"Department of Diagnostic Radiology Cleveland Clinic  Cleveland Ohio USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Naveen","family":"Subhas","sequence":"additional","affiliation":[{"name":"Program of Advanced Musculoskeletal Imaging Cleveland Clinic  Cleveland Ohio USA"},{"name":"Department of Diagnostic Radiology Cleveland Clinic  Cleveland Ohio USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carl","family":"Winalski","sequence":"additional","affiliation":[{"name":"Program of Advanced Musculoskeletal Imaging Cleveland Clinic  Cleveland Ohio USA"},{"name":"Department of Biomedical Engineering Cleveland Clinic  Cleveland Ohio USA"},{"name":"Department of Diagnostic Radiology Cleveland Clinic  Cleveland Ohio USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vipin","family":"Chaudhary","sequence":"additional","affiliation":[{"name":"Department of Computer and Data Sciences Case Western Reserve University  Cleveland Ohio USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaojuan","family":"Li","sequence":"additional","affiliation":[{"name":"Program of Advanced Musculoskeletal Imaging Cleveland Clinic  Cleveland Ohio USA"},{"name":"Department of Biomedical Engineering Cleveland Clinic  Cleveland Ohio USA"},{"name":"Department of Diagnostic Radiology Cleveland Clinic  Cleveland Ohio USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,3,31]]},"reference":[{"key":"e_1_2_10_2_1","volume-title":"United States Bone and Joint Initiative: The Burden of Musculoskeletal Diseases in the United States (BMUS)","author":"Hochberg M. 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