{"id":"https://openalex.org/W7165040250","doi":"https://doi.org/10.48550/arxiv.2606.17379","title":"MeiBRD: Meta-Learning Intraoperative Biomechanical Residual Deformation","display_name":"MeiBRD: Meta-Learning Intraoperative Biomechanical Residual Deformation","publication_year":2026,"publication_date":"2026-06-16","ids":{"openalex":"https://openalex.org/W7165040250","doi":"https://doi.org/10.48550/arxiv.2606.17379"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.17379","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.17379","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.17379","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5138812643","display_name":"Casey Meisenzahl","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meisenzahl, Casey","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138794980","display_name":"Jon Heiselman","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Heiselman, Jon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138783444","display_name":"Michael Holtz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Holtz, Michael","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084816906","display_name":"Yubo Ye","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ye, Yubo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138828688","display_name":"Michael Miga","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Miga, Michael","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138768052","display_name":"Linwei Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Linwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.26159998774528503,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.26159998774528503,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.2282000035047531,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.07720000296831131,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6455000042915344},{"id":"https://openalex.org/keywords/imaging-phantom","display_name":"Imaging phantom","score":0.6025999784469604},{"id":"https://openalex.org/keywords/deformation","display_name":"Deformation (meteorology)","score":0.5909000039100647},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5558000206947327},{"id":"https://openalex.org/keywords/biomechanics","display_name":"Biomechanics","score":0.4535999894142151},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4350999891757965},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.41609999537467957}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6455000042915344},{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.6025999784469604},{"id":"https://openalex.org/C204366326","wikidata":"https://www.wikidata.org/wiki/Q3027650","display_name":"Deformation (meteorology)","level":2,"score":0.5909000039100647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5633000135421753},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5558000206947327},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49399998784065247},{"id":"https://openalex.org/C170700871","wikidata":"https://www.wikidata.org/wiki/Q193378","display_name":"Biomechanics","level":2,"score":0.4535999894142151},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4350999891757965},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42289999127388},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.41609999537467957},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.40230000019073486},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.37770000100135803},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34529998898506165},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.3269999921321869},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3107999861240387},{"id":"https://openalex.org/C2776805002","wikidata":"https://www.wikidata.org/wiki/Q614984","display_name":"Fluoroscopy","level":2,"score":0.3018999993801117},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.25769999623298645}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.17379","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.17379","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.17379","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.17379","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.40648311376571655,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"intraoperative":[1,13,57,107,132],"liver":[2,90,142],"registration":[3,48,147],"is":[4],"challenging":[5],"due":[6,28],"to":[7,29,152],"substantial":[8],"soft-tissue":[9],"deformation":[10,64,70,118],"yet":[11],"sparse":[12,56,98,106],"measurements.":[14],"Biomechanical":[15],"models":[16],"regularize":[17],"this":[18,128],"ill-posedness":[19],"with":[20,37,84,135],"prior":[21,54],"knowledge":[22],"but":[23],"exhibit":[24],"persistent":[25],"prediction":[26],"bias":[27],"simplifying":[30],"assumptions,":[31],"while":[32],"data-driven":[33,156],"learning":[34,61],"solutions":[35],"struggle":[36],"data":[38],"efficiency,":[39],"generalization,":[40],"and":[41,149,155,162],"physical":[42],"plausibility.":[43],"We":[44],"propose":[45],"a":[46,52,62,68,79,102,140],"hybrid":[47],"framework":[49],"that":[50,72],"adapts":[51],"biomechanical":[53,75],"using":[55],"correspondences.":[58],"Rather":[59],"than":[60],"full":[63],"field,":[65],"we":[66,100],"learn":[67],"residual":[69,117,129],"function":[71,83,119,130],"corrects":[73],"linear":[74],"predictions,":[76],"modeled":[77],"as":[78,109],"graph":[80],"neural":[81],"diffusion":[82],"geometry-aware":[85],"attention":[86],"over":[87],"the":[88,116,124],"3D":[89],"mesh.":[91],"To":[92],"enable":[93],"long-range":[94],"information":[95],"transfer":[96],"of":[97,105,115],"observations,":[99],"take":[101],"novel":[103],"perspective":[104],"measurements":[108],"\\textit{context}":[110],"samples":[111,134],"where":[112],"input-output":[113],"pairs":[114],"are":[120],"fully":[121],"observed,":[122],"casting":[123],"problem":[125],"into":[126],"learning-to-learn":[127],"from":[131],"context":[133],"feedforward":[136],"meta-learners.":[137],"Experiments":[138],"on":[139],"deformable":[141],"phantom":[143],"dataset":[144],"demonstrate":[145],"improved":[146],"accuracy":[148],"generalization":[150],"compared":[151],"rigid,":[153],"biomechanical,":[154],"baselines,":[157],"particularly":[158],"for":[159],"out-of-distribution":[160],"geometries":[161],"deformations.":[163]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-18T00:00:00"}
