{"id":"https://openalex.org/W7134828875","doi":"https://doi.org/10.48550/arxiv.2603.08279","title":"OSCAR: Occupancy-based Shape Completion via Acoustic Neural Implicit Representations","display_name":"OSCAR: Occupancy-based Shape Completion via Acoustic Neural Implicit Representations","publication_year":2026,"publication_date":"2026-03-09","ids":{"openalex":"https://openalex.org/W7134828875","doi":"https://doi.org/10.48550/arxiv.2603.08279"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.08279","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.08279","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2603.08279","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047003454","display_name":"Magdalena Wysocki","orcid":"https://orcid.org/0009-0008-8239-1629"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wysocki, Magdalena","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128669880","display_name":"Kadir Burak Buldu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Buldu, Kadir Burak","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128653388","display_name":"Miruna-Alexandra Gafencu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gafencu, Miruna-Alexandra","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086762168","display_name":"Mohammad Farid Azampour","orcid":"https://orcid.org/0000-0003-4077-1021"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Azampour, Mohammad Farid","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128648077","display_name":"Nassir Navab","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Navab, Nassir","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/T14510","display_name":"Medical Imaging and Analysis","score":0.44190001487731934,"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"}},"topics":[{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.44190001487731934,"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"}},{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.09640000015497208,"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":0.07649999856948853,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.54339998960495},{"id":"https://openalex.org/keywords/imaging-phantom","display_name":"Imaging phantom","score":0.5429999828338623},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5281999707221985},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4650000035762787},{"id":"https://openalex.org/keywords/surface-reconstruction","display_name":"Surface reconstruction","score":0.4034999907016754},{"id":"https://openalex.org/keywords/acoustic-shadow","display_name":"Acoustic shadow","score":0.40209999680519104},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.39250001311302185},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.3846000134944916},{"id":"https://openalex.org/keywords/3d-ultrasound","display_name":"3D ultrasound","score":0.37299999594688416}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6692000031471252},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.625},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5838000178337097},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.54339998960495},{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.5429999828338623},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5281999707221985},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4650000035762787},{"id":"https://openalex.org/C20885615","wikidata":"https://www.wikidata.org/wiki/Q825595","display_name":"Surface reconstruction","level":3,"score":0.4034999907016754},{"id":"https://openalex.org/C47070683","wikidata":"https://www.wikidata.org/wiki/Q1906457","display_name":"Acoustic shadow","level":3,"score":0.40209999680519104},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.39250001311302185},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.3846000134944916},{"id":"https://openalex.org/C2780170424","wikidata":"https://www.wikidata.org/wiki/Q229399","display_name":"3D ultrasound","level":3,"score":0.37299999594688416},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3578000068664551},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.3368000090122223},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.32820001244544983},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.30809998512268066},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.30320000648498535},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.28929999470710754},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.28870001435279846},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2879999876022339},{"id":"https://openalex.org/C50637493","wikidata":"https://www.wikidata.org/wiki/Q1136781","display_name":"Morphing","level":2,"score":0.28630000352859497},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.2759999930858612},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.2651999890804291},{"id":"https://openalex.org/C2986892559","wikidata":"https://www.wikidata.org/wiki/Q234904","display_name":"Ultrasound imaging","level":3,"score":0.26100000739097595},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.26089999079704285},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.08279","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.08279","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.08279","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.08279","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"3D":[1,38],"reconstruction":[2,161],"of":[3,111,162],"vertebral":[4],"anatomy":[5,164],"from":[6,41,56,156],"ultrasound":[7,43,135],"is":[8],"important":[9],"for":[10,46,62,133],"guiding":[11],"minimally":[12],"invasive":[13],"spine":[14],"interventions,":[15],"but":[16],"it":[17],"remains":[18],"challenging":[19],"due":[20],"to":[21,107],"acoustic":[22,100,105,121],"shadowing":[23,117],"and":[24,81,99,147,165,173],"view-dependent":[25],"signal":[26,122],"variations.":[27],"We":[28,124,141],"propose":[29],"an":[30],"occupancy-based":[31],"shape":[32,131],"completion":[33,69,132],"method":[34,103,128],"that":[35,93,126],"reconstructs":[36],"complete":[37],"anatomical":[39,53,63,84],"geometry":[40],"partial":[42],"observations.":[44],"Crucially":[45],"intra-operative":[47],"applications,":[48],"our":[49,143],"approach":[50,144],"extracts":[51],"the":[52,57,60,78,82,102,112],"surface":[54],"directly":[55],"image,":[58],"avoiding":[59],"need":[61],"labels":[64,118],"during":[65],"inference.":[66],"This":[67],"label-free":[68],"relies":[70],"on":[71,148,178],"a":[72,88],"coupled":[73],"latent":[74],"space":[75],"representing":[76],"both":[77,96,145],"image":[79],"appearance":[80],"underlying":[83],"shape.":[85],"By":[86],"leveraging":[87],"Neural":[89],"Implicit":[90],"Representation":[91],"(NIR)":[92],"jointly":[94],"models":[95,155],"spatial":[97],"occupancy":[98],"interactions,":[101],"uses":[104],"parameters":[106],"become":[108],"implicitly":[109],"aware":[110],"unseen":[113],"regions":[114],"without":[115],"explicit":[116],"through":[119],"tracking":[120],"transmission.":[123],"show":[125],"this":[127],"outperforms":[129],"state-of-the-art":[130],"B-mode":[134],"by":[136],"80%":[137],"in":[138],"HD95":[139],"score.":[140],"validate":[142],"in-silico":[146],"phantom":[149],"US":[150],"images":[151],"with":[152],"registered":[153],"mesh":[154],"CT":[157],"labels,":[158],"demonstrating":[159],"accurate":[160],"occluded":[163],"robust":[166],"generalization":[167],"across":[168],"diverse":[169],"imaging":[170],"conditions.":[171],"Code":[172],"data":[174],"will":[175],"be":[176],"released":[177],"publication.":[179]},"counts_by_year":[],"updated_date":"2026-08-16T07:02:28.622633","created_date":"2026-03-11T00:00:00"}
