{"id":"https://openalex.org/W4234207808","doi":"https://doi.org/10.1109/cvprw.2009.5204347","title":"Non-rigid registration between histological and MR images of the prostate: A joint segmentation and registration framework","display_name":"Non-rigid registration between histological and MR images of the prostate: A joint segmentation and registration framework","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W4234207808","doi":"https://doi.org/10.1109/cvprw.2009.5204347"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2009.5204347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2009.5204347","pdf_url":null,"source":{"id":"https://openalex.org/S4363608118","display_name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","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/A5049789399","display_name":"Yangming Ou","orcid":"https://orcid.org/0000-0002-7726-6208"},"institutions":[{"id":"https://openalex.org/I922845939","display_name":"Philadelphia University","ror":"https://ror.org/03zzmyz63","country_code":"US","type":"education","lineage":["https://openalex.org/I922845939"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yangming Ou","raw_affiliation_strings":["Department of Radiology, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I922845939"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000937401","display_name":"Dinggang Shen","orcid":"https://orcid.org/0000-0002-7934-5698"},"institutions":[{"id":"https://openalex.org/I1333535994","display_name":"University of North Carolina Health Care","ror":"https://ror.org/00qz24g20","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1333535994"]},{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dinggang Shen","raw_affiliation_strings":["Department of Radiology, UNC Chapel Hill, Chapel Hill, NC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, UNC Chapel Hill, Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I1333535994","https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028140714","display_name":"Michael D. Feldman","orcid":"https://orcid.org/0000-0002-6661-4940"},"institutions":[{"id":"https://openalex.org/I922845939","display_name":"Philadelphia University","ror":"https://ror.org/03zzmyz63","country_code":"US","type":"education","lineage":["https://openalex.org/I922845939"]},{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Feldman","raw_affiliation_strings":["Department of Pathology, UPenn, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Pathology, UPenn, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I922845939","https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109972990","display_name":"John Tomaszewski","orcid":null},"institutions":[{"id":"https://openalex.org/I922845939","display_name":"Philadelphia University","ror":"https://ror.org/03zzmyz63","country_code":"US","type":"education","lineage":["https://openalex.org/I922845939"]},{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Tomaszewski","raw_affiliation_strings":["Department of Pathology, UPenn, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Pathology, UPenn, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I922845939","https://openalex.org/I79576946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034999945","display_name":"Christos Davatzikos","orcid":"https://orcid.org/0000-0002-1025-8561"},"institutions":[{"id":"https://openalex.org/I922845939","display_name":"Philadelphia University","ror":"https://ror.org/03zzmyz63","country_code":"US","type":"education","lineage":["https://openalex.org/I922845939"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christos Davatzikos","raw_affiliation_strings":["Department of Radiology, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I922845939"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5049789399"],"corresponding_institution_ids":["https://openalex.org/I922845939"],"apc_list":null,"apc_paid":null,"fwci":0.50674916,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.72765447,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"125","last_page":"132"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9983000159263611,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9958000183105469,"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/segmentation","display_name":"Segmentation","score":0.7897230386734009},{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.763370931148529},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.7166210412979126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6634153127670288},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6488507986068726},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6405726075172424},{"id":"https://openalex.org/keywords/prostate-cancer","display_name":"Prostate cancer","score":0.5510962605476379},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5197921991348267},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4808253049850464},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.47438719868659973},{"id":"https://openalex.org/keywords/rigid-transformation","display_name":"Rigid transformation","score":0.4574233293533325},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3435496687889099},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.30114543437957764},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2478412687778473},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12905222177505493}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7897230386734009},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.763370931148529},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.7166210412979126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6634153127670288},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6488507986068726},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6405726075172424},{"id":"https://openalex.org/C2780192828","wikidata":"https://www.wikidata.org/wiki/Q181257","display_name":"Prostate cancer","level":3,"score":0.5510962605476379},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5197921991348267},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4808253049850464},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.47438719868659973},{"id":"https://openalex.org/C126795593","wikidata":"https://www.wikidata.org/wiki/Q7333813","display_name":"Rigid transformation","level":2,"score":0.4574233293533325},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3435496687889099},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.30114543437957764},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2478412687778473},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12905222177505493},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvprw.2009.5204347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2009.5204347","pdf_url":null,"source":{"id":"https://openalex.org/S4363608118","display_name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1520259970","https://openalex.org/W1577109989","https://openalex.org/W1817267053","https://openalex.org/W1996515728","https://openalex.org/W2001666669","https://openalex.org/W2004537679","https://openalex.org/W2021189280","https://openalex.org/W2033732385","https://openalex.org/W2034372240","https://openalex.org/W2034432063","https://openalex.org/W2035945901","https://openalex.org/W2045640483","https://openalex.org/W2059432853","https://openalex.org/W2067704685","https://openalex.org/W2083453707","https://openalex.org/W2084384373","https://openalex.org/W2107535402","https://openalex.org/W2114487471","https://openalex.org/W2114787411","https://openalex.org/W2116040950","https://openalex.org/W2122264115","https://openalex.org/W2125130222","https://openalex.org/W2128409098","https://openalex.org/W2128506906","https://openalex.org/W2135699751","https://openalex.org/W2139212933","https://openalex.org/W2141092372","https://openalex.org/W2147646630","https://openalex.org/W2148673597","https://openalex.org/W2164051596","https://openalex.org/W2171490473","https://openalex.org/W2188930725","https://openalex.org/W6631018937","https://openalex.org/W6638352213","https://openalex.org/W6676115123","https://openalex.org/W6680724680","https://openalex.org/W7034135425"],"related_works":["https://openalex.org/W2168584693","https://openalex.org/W3082975905","https://openalex.org/W2519648241","https://openalex.org/W2784146774","https://openalex.org/W2118640186","https://openalex.org/W2171028602","https://openalex.org/W2027919853","https://openalex.org/W3037197017","https://openalex.org/W3093145556","https://openalex.org/W2004640125"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,40,115,126],"3D":[4,24,41,47],"non-rigid":[5],"registration":[6,49,131,141,170],"algorithm":[7],"between":[8,62,104],"histological":[9,34,42],"and":[10,57,75,79,108,130,140,159],"MR":[11],"images":[12],"of":[13,23,32,168,188],"the":[14,21,27,46,63,80,94,105,121,134,174,189,196,202],"prostate":[15,73,190,198],"with":[16,162],"cancer.":[17],"To":[18],"compensate":[19],"for":[20,181],"loss":[22],"integrity":[25],"in":[26,114,125,146,201],"histology":[28],"sectioning":[29],"process,":[30,101],"series":[31],"2D":[33],"slices":[35],"are":[36,111],"first":[37],"reconstructed":[38],"into":[39,179],"volume.":[43],"After":[44],"that,":[45],"histology-MRI":[48],"is":[50,96,123,152,171],"obtained":[51],"by":[52,98,154,160],"maximizing":[53],"a)":[54],"landmark":[55,92],"similarity":[56],"b)":[58],"cancer":[59,88,128,176,199],"region":[60,119],"overlap":[61],"two":[64,135],"images.":[65],"The":[66,165],"former":[67],"aims":[68,82],"to":[69,83,172],"capture":[70,84],"distortions":[71,85],"at":[72,87],"boundary":[74,107],"internal":[76,109],"blob-like":[77],"structures;":[78],"latter":[81],"specifically":[86],"regions.":[89],"In":[90],"particular,":[91],"similarities,":[93],"former,":[95],"maximized":[97,124],"an":[99,147],"annealing":[100],"where":[102,133],"correspondences":[103],"automatically-detected":[106],"landmarks":[110,158],"iteratively":[112],"established":[113,153],"fuzzy-to-deterministic":[116],"fashion.":[117,149],"Cancer":[118],"overlap,":[120],"latter,":[122],"joint":[127],"segmentation":[129,139],"framework,":[132],"interleaved":[136],"problems":[137],"-":[138,142],"inform":[143],"each":[144],"other":[145,163],"iterative":[148],"Registration":[150],"accuracy":[151],"comparing":[155,161],"against":[156],"human-rater-defined":[157],"methods.":[164],"ultimate":[166],"goal":[167],"this":[169],"warp":[173],"histologically-defined":[175],"ground":[177],"truth":[178],"MRI,":[180],"more":[182],"thoroughly":[183],"understanding":[184],"MRI":[185],"signal":[186],"characteristics":[187],"cancerous":[191],"tissue,":[192],"which":[193],"will":[194],"promote":[195],"MRI-based":[197],"diagnosis":[200],"future":[203],"studies.":[204]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
