{"id":"https://openalex.org/W4415332136","doi":"https://doi.org/10.48550/arxiv.2509.23176","title":"Confidence-Calibrating Regularization for Robust Brain MRI Segmentation Under Domain Shift","display_name":"Confidence-Calibrating Regularization for Robust Brain MRI Segmentation Under Domain Shift","publication_year":2025,"publication_date":"2025-09-27","ids":{"openalex":"https://openalex.org/W4415332136","doi":"https://doi.org/10.48550/arxiv.2509.23176"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2509.23176","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.23176","pdf_url":"https://arxiv.org/pdf/2509.23176","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2509.23176","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085502049","display_name":"Behraj Khan","orcid":"https://orcid.org/0000-0003-0985-9543"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Khan, Behraj","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5004232654","display_name":"Tahir Syed","orcid":"https://orcid.org/0000-0003-0638-9689"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Syed, Tahir Qasim","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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9763000011444092,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9588000178337097,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5852000117301941},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5630999803543091},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5257999897003174},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5178999900817871},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49790000915527344},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4814000129699707},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4618000090122223},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44839999079704285}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6280999779701233},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5852000117301941},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5630999803543091},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5476999878883362},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5257999897003174},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5178999900817871},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49790000915527344},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4814000129699707},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4618000090122223},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4611000120639801},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44839999079704285},{"id":"https://openalex.org/C2779751349","wikidata":"https://www.wikidata.org/wiki/Q1474480","display_name":"Scanner","level":2,"score":0.4235000014305115},{"id":"https://openalex.org/C51110983","wikidata":"https://www.wikidata.org/wiki/Q16503490","display_name":"Overconfidence effect","level":2,"score":0.39649999141693115},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.3953999876976013},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.3634999990463257},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3154999911785126},{"id":"https://openalex.org/C2778915421","wikidata":"https://www.wikidata.org/wiki/Q3643177","display_name":"Performance improvement","level":2,"score":0.3034999966621399},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30160000920295715},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2992999851703644},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.2903999984264374},{"id":"https://openalex.org/C29406490","wikidata":"https://www.wikidata.org/wiki/Q1420659","display_name":"Fisher information","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.27140000462532043},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.25839999318122864},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.2556999921798706},{"id":"https://openalex.org/C3020402766","wikidata":"https://www.wikidata.org/wiki/Q104376712","display_name":"Prior information","level":2,"score":0.25110000371932983}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2509.23176","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.23176","pdf_url":"https://arxiv.org/pdf/2509.23176","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2509.23176","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2509.23176","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2509.23176","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.23176","pdf_url":"https://arxiv.org/pdf/2509.23176","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,63],"Segment":[1],"Anything":[2],"Model":[3],"(SAM)":[4],"exhibits":[5],"strong":[6],"zero-shot":[7],"performance":[8],"on":[9,47,89],"natural":[10],"images":[11],"but":[12],"suffers":[13],"from":[14],"domain":[15,37,168],"shift":[16,38],"and":[17,51,79,86,116,138,148,154,170],"overconfidence":[18],"when":[19],"applied":[20],"to":[21,36],"medical":[22],"volumes.":[23],"We":[24],"propose":[25],"\\textbf{CalSAM},":[26],"a":[27,40,58,97,106,117,131,139,159],"lightweight":[28],"adaptation":[29],"framework":[30],"that":[31],"(i)":[32],"reduces":[33],"encoder":[34],"sensitivity":[35],"via":[39],"\\emph{Feature":[41],"Fisher":[42,156],"Information":[43],"Penalty}":[44,61],"(FIP)":[45],"computed":[46],"3D":[48],"feature":[49],"maps":[50],"(ii)":[52],"penalizes":[53],"overconfident":[54],"voxel-wise":[55],"errors":[56],"through":[57],"\\emph{Confidence":[59],"Misalignment":[60],"(CMP).":[62],"combined":[64],"loss,":[65],"\\(\\mathcal{L}_{\\mathrm{CalSAM}}\\)":[66],"fine-tunes":[67],"only":[68],"the":[69,90,155,180],"mask":[70],"decoder":[71],"while":[72,178],"keeping":[73],"SAM's":[74,185],"encoders":[75],"frozen.":[76],"On":[77,125],"cross-center":[78],"scanner-shift":[80],"evaluations,":[81],"CalSAM":[82,95,129,164],"substantially":[83],"improves":[84],"accuracy":[85],"calibration:":[87],"e.g.,":[88],"BraTS":[91],"scanner":[92],"split":[93],"(Siemens$\\to$GE)":[94],"shows":[96],"$+7.4\\%$":[98],"relative":[99,133],"improvement":[100,134],"in":[101,109,120,135,142],"$\\mathrm{DSC}$":[102,136],"(80.1\\%":[103],"vs.\\":[104,113,123],"74.6\\%),":[105],"$-26.9\\%$":[107],"reduction":[108,119,141],"$\\mathrm{HD95}$":[110],"(4.6":[111],"mm":[112],"6.3":[114],"mm),":[115],"$-39.5\\%$":[118],"$\\mathrm{ECE}$":[121,143],"(5.2\\%":[122],"8.6\\%).":[124],"ATLAS-C":[126],"(motion":[127],"corruptions),":[128],"achieves":[130],"$+5.3\\%$":[132],"(75.9\\%)":[137],"$-32.6\\%$":[140],"(5.8\\%).":[144],"Ablations":[145],"show":[146],"FIP":[147],"CMP":[149],"contribute":[150],"complementary":[151],"gains":[152],"($p<0.01$),":[153],"penalty":[157],"incurs":[158],"modest":[160],"$\\sim$15\\%":[161],"training-time":[162],"overhead.":[163],"therefore":[165],"delivers":[166],"improved":[167],"generalization":[169],"better-calibrated":[171],"uncertainty":[172],"estimates":[173],"for":[174],"brain":[175],"MRI":[176],"segmentation,":[177],"retaining":[179],"computational":[181],"benefits":[182],"of":[183],"freezing":[184],"encoder.":[186]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-19T00:00:00"}