{"id":"https://openalex.org/W4321524669","doi":"https://doi.org/10.48550/arxiv.2302.10343","title":"Non-rigid Medical Image Registration using Physics-informed Neural Networks","display_name":"Non-rigid Medical Image Registration using Physics-informed Neural Networks","publication_year":2023,"publication_date":"2023-02-20","ids":{"openalex":"https://openalex.org/W4321524669","doi":"https://doi.org/10.48550/arxiv.2302.10343"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2302.10343","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2302.10343","pdf_url":"https://arxiv.org/pdf/2302.10343","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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2302.10343","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040071840","display_name":"Zhe Min","orcid":"https://orcid.org/0000-0002-8903-1561"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Min, Zhe","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065017682","display_name":"Zachary M. C. Baum","orcid":"https://orcid.org/0000-0001-6838-335X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Baum, Zachary M. C.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003506709","display_name":"Shaheer U. Saeed","orcid":"https://orcid.org/0000-0002-5004-0663"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Saeed, Shaheer U.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083172675","display_name":"Mark Emberton","orcid":"https://orcid.org/0000-0003-4230-0338"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Emberton, Mark","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066703217","display_name":"Dean C. Barratt","orcid":"https://orcid.org/0000-0003-2916-655X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Barratt, Dean C.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055587668","display_name":"Zeike A. Taylor","orcid":"https://orcid.org/0000-0002-0718-1663"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Taylor, Zeike A.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5032309114","display_name":"Yipeng Hu","orcid":"https://orcid.org/0000-0003-4902-0486"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Yipeng","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5040071840"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9879000186920166,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9879000186920166,"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":0.9872000217437744,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9855999946594238,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.664923906326294},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6291339993476868},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.580201268196106},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5240359902381897},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5193751454353333},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4695855975151062},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42895370721817017},{"id":"https://openalex.org/keywords/point-set-registration","display_name":"Point set registration","score":0.42598459124565125},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4192759394645691},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3523867726325989},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.34435150027275085},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1660611629486084},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16092374920845032},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.11098375916481018}],"concepts":[{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.664923906326294},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6291339993476868},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.580201268196106},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5240359902381897},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5193751454353333},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4695855975151062},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42895370721817017},{"id":"https://openalex.org/C200336642","wikidata":"https://www.wikidata.org/wiki/Q15058706","display_name":"Point set registration","level":3,"score":0.42598459124565125},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4192759394645691},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3523867726325989},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.34435150027275085},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1660611629486084},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16092374920845032},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.11098375916481018},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:arXiv.org:2302.10343","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2302.10343","pdf_url":"https://arxiv.org/pdf/2302.10343","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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10181116","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10181116/","pdf_url":"https://discovery.ucl.ac.uk/10181116/1/nonrigid%20registration%20pinns.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"     In: Frangi, Alejandro and De Bruijne, Marleen and Wassermann, Demian and Navab, Nassir, (eds.) Information Processing in Medical Imaging: IPMI 2023.  (pp. pp. 601-613).  Springer: Cham, Switzerland. (2023)     ","raw_type":"Proceedings paper"},{"id":"doi:10.48550/arxiv.2302.10343","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2302.10343","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":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2302.10343","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2302.10343","pdf_url":"https://arxiv.org/pdf/2302.10343","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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4321524669.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2037143534","https://openalex.org/W2888631859","https://openalex.org/W2357811830","https://openalex.org/W3154360165","https://openalex.org/W2067230404","https://openalex.org/W2369594106","https://openalex.org/W2171028602","https://openalex.org/W3037197017","https://openalex.org/W2110013921","https://openalex.org/W2016145238"],"abstract_inverted_index":{"Biomechanical":[0],"modelling":[1,78],"of":[2,42,53],"soft":[3],"tissue":[4],"provides":[5,49],"a":[6,72,90,111],"non-data-driven":[7],"method":[8,128],"for":[9,39,77],"constraining":[10],"medical":[11],"image":[12],"registration,":[13],"such":[14,34],"that":[15,114],"the":[16,36,55,65,105,123],"estimated":[17],"spatial":[18,59],"transformation":[19],"is":[20],"considered":[21],"biophysically":[22],"plausible.":[23],"This":[24,62],"has":[25,129],"not":[26],"only":[27],"been":[28,130],"adopted":[29],"in":[30,44,93,135],"real-world":[31],"clinical":[32],"applications,":[33],"as":[35,104],"MR-to-ultrasound":[37],"registration":[38,112],"prostate":[40,79],"intervention":[41],"interest":[43],"this":[45],"work,":[46],"but":[47],"also":[48],"an":[50],"explainable":[51],"means":[52],"understanding":[54],"organ":[56],"motion":[57,80],"and":[58,118,133,138],"correspondence":[60],"establishment.":[61],"work":[63],"instantiates":[64],"recently-proposed":[66],"physics-informed":[67],"neural":[68],"networks":[69],"(PINNs)":[70],"to":[71,96,101],"3D":[73],"linear":[74],"elastic":[75],"model":[76],"commonly":[81],"encountered":[82],"during":[83],"transrectal":[84],"ultrasound":[85],"guided":[86],"procedures.":[87],"To":[88],"overcome":[89],"widely-recognised":[91],"challenge":[92],"generalising":[94],"PINNs":[95],"different":[97],"subjects,":[98],"we":[99],"propose":[100],"use":[102],"PointNet":[103],"nodal-permutation-invariant":[106],"feature":[107],"extractor,":[108],"together":[109],"with":[110],"algorithm":[113],"aligns":[115],"point":[116],"sets":[117],"simultaneously":[119],"takes":[120],"into":[121],"account":[122],"PINN-imposed":[124],"biomechanics.":[125],"The":[126],"proposed":[127],"both":[131,136],"developed":[132],"validated":[134],"patient-specific":[137],"multi-patient":[139],"manner.":[140]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
