{"id":"https://openalex.org/W4416750268","doi":"https://doi.org/10.1109/iros60139.2025.11246403","title":"Unsupervised Liver Deformation Correction Network Using Optimal Transport for Image-Guided Liver Surgery","display_name":"Unsupervised Liver Deformation Correction Network Using Optimal Transport for Image-Guided Liver Surgery","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4416750268","doi":"https://doi.org/10.1109/iros60139.2025.11246403"},"language":null,"primary_location":{"id":"doi:10.1109/iros60139.2025.11246403","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros60139.2025.11246403","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100443421","display_name":"Mingyang Liu","orcid":"https://orcid.org/0000-0002-4712-0304"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingyang Liu","raw_affiliation_strings":["Shandong University,School of Control Science and Engineering,China"],"affiliations":[{"raw_affiliation_string":"Shandong University,School of Control Science and Engineering,China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029696367","display_name":"Li Geng","orcid":"https://orcid.org/0000-0003-1974-6980"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Geng Li","raw_affiliation_strings":["Shandong University,School of Electrical Engineering,Jinan,China"],"affiliations":[{"raw_affiliation_string":"Shandong University,School of Electrical Engineering,Jinan,China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100337973","display_name":"Hao Yu","orcid":"https://orcid.org/0000-0002-8634-0334"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Yu","raw_affiliation_strings":["Shandong University,School of Information Science and Engineering,Qingdao,China"],"affiliations":[{"raw_affiliation_string":"Shandong University,School of Information Science and Engineering,Qingdao,China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083105501","display_name":"Xinzhe Du","orcid":null},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinzhe Du","raw_affiliation_strings":["Shandong University,School of Control Science and Engineering,China"],"affiliations":[{"raw_affiliation_string":"Shandong University,School of Control Science and Engineering,China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057594828","display_name":"Rui Song","orcid":"https://orcid.org/0000-0002-2790-1752"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Song","raw_affiliation_strings":["Shandong University,School of Control Science and Engineering,China"],"affiliations":[{"raw_affiliation_string":"Shandong University,School of Control Science and Engineering,China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100724405","display_name":"Yibin Li","orcid":"https://orcid.org/0000-0001-9484-149X"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yibin Li","raw_affiliation_strings":["Shandong University,School of Control Science and Engineering,China"],"affiliations":[{"raw_affiliation_string":"Shandong University,School of Control Science and Engineering,China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021531143","display_name":"Max Q.\u2010H. Meng","orcid":"https://orcid.org/0000-0002-5255-5898"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Max Q.-H. Meng","raw_affiliation_strings":["Southern University of Science and Technology,Department of Electronic and Electrical Engineering,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Department of Electronic and Electrical Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040071840","display_name":"Zhe Min","orcid":"https://orcid.org/0000-0002-8903-1561"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]},{"id":"https://openalex.org/I4210144746","display_name":"The London College","ror":"https://ror.org/0546ajs61","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210144746"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhe Min","raw_affiliation_strings":["University College London,UCL Hawkes Institute,The Department of Medical Physics and Biomedical Engineering,London,UK"],"affiliations":[{"raw_affiliation_string":"University College London,UCL Hawkes Institute,The Department of Medical Physics and Biomedical Engineering,London,UK","institution_ids":["https://openalex.org/I4210144746","https://openalex.org/I45129253"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100443421"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3711114,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"505","last_page":"512"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.28700000047683716,"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":0.28700000047683716,"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/T10868","display_name":"Soft Robotics and Applications","score":0.14409999549388885,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.12430000305175781,"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/noise","display_name":"Noise (video)","score":0.6488999724388123},{"id":"https://openalex.org/keywords/displacement","display_name":"Displacement (psychology)","score":0.6366999745368958},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.5936999917030334},{"id":"https://openalex.org/keywords/deformation","display_name":"Deformation (meteorology)","score":0.5317999720573425},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5245000123977661},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.42340001463890076},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.42250001430511475},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4153999984264374}],"concepts":[{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6488999724388123},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.6366999745368958},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.5936999917030334},{"id":"https://openalex.org/C204366326","wikidata":"https://www.wikidata.org/wiki/Q3027650","display_name":"Deformation (meteorology)","level":2,"score":0.5317999720573425},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5245000123977661},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5135999917984009},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5134000182151794},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4401000142097473},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.42340001463890076},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.42250001430511475},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4153999984264374},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4113999903202057},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37040001153945923},{"id":"https://openalex.org/C200336642","wikidata":"https://www.wikidata.org/wiki/Q15058706","display_name":"Point set registration","level":3,"score":0.36309999227523804},{"id":"https://openalex.org/C126691448","wikidata":"https://www.wikidata.org/wiki/Q2028919","display_name":"Magnitude (astronomy)","level":2,"score":0.3449999988079071},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33469998836517334},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3172999918460846},{"id":"https://openalex.org/C2984485829","wikidata":"https://www.wikidata.org/wiki/Q100766421","display_name":"Noise level","level":3,"score":0.31540000438690186},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.28540000319480896},{"id":"https://openalex.org/C195958017","wikidata":"https://www.wikidata.org/wiki/Q1675268","display_name":"Iterative closest point","level":3,"score":0.273499995470047},{"id":"https://openalex.org/C126795593","wikidata":"https://www.wikidata.org/wiki/Q7333813","display_name":"Rigid transformation","level":2,"score":0.2628999948501587}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros60139.2025.11246403","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros60139.2025.11246403","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310075","display_name":"Jinan Science and Technology Bureau","ror":"https://ror.org/016p59286"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335581","display_name":"Young Scientists Fund","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2098466221","https://openalex.org/W2134236847","https://openalex.org/W2588069848","https://openalex.org/W2590716867","https://openalex.org/W2724892359","https://openalex.org/W2990613095","https://openalex.org/W2999095562","https://openalex.org/W3052206760","https://openalex.org/W3097139398","https://openalex.org/W3106932526","https://openalex.org/W3160041389","https://openalex.org/W3199360076","https://openalex.org/W3216353509","https://openalex.org/W4312896435","https://openalex.org/W4366463930","https://openalex.org/W4386066061","https://openalex.org/W4386076224","https://openalex.org/W4386918963","https://openalex.org/W4393183790","https://openalex.org/W4393935425","https://openalex.org/W4402753726","https://openalex.org/W4403090208","https://openalex.org/W4403660530","https://openalex.org/W4403910553","https://openalex.org/W4405270129","https://openalex.org/W4405785396","https://openalex.org/W4408750382","https://openalex.org/W4410299040"],"related_works":[],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,52,79],"propose":[4],"a":[5,206],"novel":[6],"unsupervised":[7],"intraoperative":[8,34,173],"liver":[9,22,123,134],"deformation":[10,144,179],"correction":[11],"method,":[12],"called":[13],"Learning":[14],"Coherent":[15],"point":[16,35,70,174,186],"drift":[17],"Network":[18],"(LCNet),":[19],"for":[20],"image-guided":[21],"surgery":[23],"(IGLS).":[24],"We":[25,110],"first":[26],"estimate":[27],"the":[28,31,38,54,60,65,69,84,99,103,106,116,129,166,170,178,184,194,199],"correspondences":[29],"between":[30,169],"preoperative":[32,171],"and":[33,48,76,90,128,145,156,172,193,222,230],"sets":[36,175],"in":[37,64,161,198],"optimal":[39],"transport":[40],"(OT)":[41],"module":[42],"by":[43,58],"leveraging":[44],"both":[45],"original":[46],"points":[47],"extracted":[49],"features.":[50],"Afterwards,":[51],"compute":[53],"point-wise":[55],"displacement":[56],"vector":[57],"solving":[59],"involved":[61],"matrix":[62],"equation":[63],"Transformation":[66],"module,":[67],"where":[68,92],"localisation":[71],"noise":[72,146,188],"is":[73,176,181,190],"explicitly":[74],"considered":[75],"modeled.":[77],"Additionally,":[78],"present":[80],"three":[81],"variants":[82],"of":[83,96,105,120,125,136,201,220],"proposed":[85],"approach,":[86],"i.e.,":[87],"LCNet,":[88],"LCNet-ED":[89],"LCNet-WD,":[91],"better":[93],"registration":[94,154],"performances":[95],"LCNet":[97,114,150,204],"against":[98],"other":[100],"two":[101],"demonstrate":[102,148],"superiority":[104],"utilised":[107],"Chamfer":[108],"loss.":[109],"have":[111],"extensively":[112],"evaluated":[113],"on":[115,214],"MedShapeNet":[117,215],"dataset":[118,131],"consisting":[119],"615":[121],"different":[122,143],"shapes":[124],"real":[126,137],"patients,":[127],"3Dircadb":[130],"comprising":[132],"20":[133],"models":[135],"patients.":[138],"Extensive":[139],"experimental":[140],"results":[141],"under":[142],"magnitudes":[147],"that":[149],"outperforms":[151],"existing":[152],"state-of-the-art":[153],"algorithms":[155],"holds":[157],"significant":[158],"application":[159],"potential":[160],"IGLS.":[162],"For":[163],"example,":[164],"when":[165],"overlapping":[167],"ratio":[168],"25%,":[177],"magnitude":[180,189],"8":[182],"mm,":[183],"maximum":[185],"localization":[187],"2":[191],"mm":[192,213,226,232],"rotation":[195],"angle":[196],"lies":[197],"range":[200],"[\u221245\u00b0,":[202],"45\u00b0],":[203],"achieves":[205],"root-mean-square":[207],"error":[208],"(RMSE)":[209],"value":[210],"being":[211,224],"3.21":[212],"dataset,":[216],"significantly":[217],"outperforming":[218],"those":[219],"Lepard":[221],"RoITr":[223],"5.41":[225],"(p":[227,233],"<":[228,234],"0.001)":[229,235],"4.90":[231],"respectively.":[236]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-28T00:00:00"}