{"id":"https://openalex.org/W4415310083","doi":"https://doi.org/10.48550/arxiv.2507.12953","title":"cIDIR: Conditioned Implicit Neural Representation for Regularized Deformable Image Registration","display_name":"cIDIR: Conditioned Implicit Neural Representation for Regularized Deformable Image Registration","publication_year":2025,"publication_date":"2025-07-17","ids":{"openalex":"https://openalex.org/W4415310083","doi":"https://doi.org/10.48550/arxiv.2507.12953"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2507.12953","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2507.12953","pdf_url":"https://arxiv.org/pdf/2507.12953","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2507.12953","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039828017","display_name":"Sidaty El Hadramy","orcid":"https://orcid.org/0009-0000-2917-0706","observed_orcids":["https://orcid.org/0009-0000-2917-0706"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hadramy, Sidaty El","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113186579","display_name":"Oumeymah Cherkaoui","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1850255","display_name":"University of Basel","ror":"https://ror.org/02s6k3f65","country_code":"CH","type":"education","lineage":["https://openalex.org/I1850255"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Cherkaoui, Oumeymah","raw_affiliation_strings":["Department of Biomedical Engineering , University of Basel , Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering , University of Basel , Switzerland","institution_ids":["https://openalex.org/I1850255"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048965835","display_name":"Philippe Claude Cattin","orcid":"https://orcid.org/0000-0001-8785-2713","observed_orcids":["https://orcid.org/0000-0001-8785-2713"]},"institutions":[{"id":"https://openalex.org/I1850255","display_name":"University of Basel","ror":"https://ror.org/02s6k3f65","country_code":"CH","type":"education","lineage":["https://openalex.org/I1850255"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Cattin, Philippe C.","raw_affiliation_strings":["Department of Biomedical Engineering , University of Basel , Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering , University of Basel , Switzerland","institution_ids":["https://openalex.org/I1850255"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"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":0.9897000193595886,"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":0.9897000193595886,"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/T10358","display_name":"Advanced Radiotherapy Techniques","score":0.005400000140070915,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.000699999975040555,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/deformable-image-registration","display_name":"deformable image registration","score":0.9980000257492065},{"id":"https://openalex.org/keywords/implicit-neural-representations","display_name":"implicit neural representations","score":0.9580000042915344},{"id":"https://openalex.org/keywords/deformation-vector-fields","display_name":"deformation vector fields","score":0.8109999895095825},{"id":"https://openalex.org/keywords/conditional-learning","display_name":"conditional learning","score":0.5879999995231628},{"id":"https://openalex.org/keywords/segmentation-masks","display_name":"segmentation masks","score":0.6269999742507935},{"id":"https://openalex.org/keywords/anatomical-consistency","display_name":"anatomical consistency","score":0.5339999794960022}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.7897999882698059},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7239000201225281},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.7085999846458435},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6244999766349792},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.593999981880188},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5508999824523926},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.44690001010894775},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44620001316070557},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3345000147819519},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.32109999656677246},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.31610000133514404},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.31520000100135803},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.30660000443458557},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.29429998993873596},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29190000891685486},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.28110000491142273},{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.27570000290870667},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.2680000066757202},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.25119999051094055}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2507.12953","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2507.12953","pdf_url":"https://arxiv.org/pdf/2507.12953","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2507.12953","doi":"https://doi.org/10.48550/arxiv.2507.12953","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2507.12953","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,"listed_in":[],"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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2507.12953","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2507.12953","pdf_url":"https://arxiv.org/pdf/2507.12953","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415310083.pdf","grobid_xml":"https://content.openalex.org/works/W4415310083.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4414656431","https://openalex.org/W7010623847","https://openalex.org/W4415331400","https://openalex.org/W4386352873","https://openalex.org/W7132737711","https://openalex.org/W7046324279","https://openalex.org/W7083203080","https://openalex.org/W4324301477","https://openalex.org/W3174611603","https://openalex.org/W7132102932"],"abstract_inverted_index":{"Regularization":[0],"is":[1,32,76],"essential":[2],"in":[3,28],"deformable":[4],"image":[5],"registration":[6,59],"(DIR)":[7],"to":[8],"ensure":[9],"that":[10,56,67],"the":[11,58,88,93,119,129],"estimated":[12],"Deformation":[13],"Vector":[14],"Field":[15],"(DVF)":[16],"remains":[17],"smooth,":[18],"physically":[19],"plausible,":[20],"and":[21,104,126],"anatomically":[22],"consistent.":[23],"However,":[24],"fine-tuning":[25],"regularization":[26,62,72,89,112],"parameters":[27],"learning-based":[29],"DIR":[30,48],"frameworks":[31],"computationally":[33],"expensive,":[34],"often":[35],"requiring":[36],"multiple":[37],"training":[38],"iterations.":[39],"To":[40],"address":[41],"this,":[42],"we":[43],"propose":[44],"cIDI,":[45],"a":[46,79,102],"novel":[47],"framework":[49],"based":[50],"on":[51,61,118],"Implicit":[52],"Neural":[53],"Representations":[54],"(INRs)":[55],"conditions":[57],"process":[60],"hyperparameters.":[63],"Unlike":[64],"conventional":[65],"methods":[66],"require":[68],"retraining":[69],"for":[70],"each":[71],"hyperparameter":[73],"setting,":[74],"cIDIR":[75,100],"trained":[77],"over":[78,87],"prior":[80],"distribution":[81],"of":[82,110],"these":[83],"hyperparameters,":[84],"then":[85],"optimized":[86],"hyperparameters":[90],"by":[91],"using":[92],"segmentations":[94],"masks":[95],"as":[96],"an":[97],"observation.":[98],"Additionally,":[99],"models":[101],"continuous":[103],"differentiable":[105],"DVF,":[106],"enabling":[107],"seamless":[108],"integration":[109],"advanced":[111],"techniques":[113],"via":[114],"automatic":[115],"differentiation.":[116],"Evaluated":[117],"DIR-LAB":[120],"dataset,":[121],"$\\operatorname{cIDIR}$":[122],"achieves":[123],"high":[124],"accuracy":[125],"robustness":[127],"across":[128],"dataset.":[130]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2025-10-18T00:00:00"}
