{"id":"https://openalex.org/W2792225808","doi":"https://doi.org/10.1117/12.2293083","title":"HoDOr: histogram of differential orientations for rigid landmark tracking in medical images","display_name":"HoDOr: histogram of differential orientations for rigid landmark tracking in medical images","publication_year":2018,"publication_date":"2018-03-02","ids":{"openalex":"https://openalex.org/W2792225808","doi":"https://doi.org/10.1117/12.2293083","mag":"2792225808"},"language":"en","primary_location":{"id":"doi:10.1117/12.2293083","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2293083","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Image Processing","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/A5068604840","display_name":"Abhishek Tiwari","orcid":"https://orcid.org/0000-0003-3807-4032"},"institutions":[{"id":"https://openalex.org/I4210139030","display_name":"Samsung (India)","ror":"https://ror.org/04cpx2569","country_code":"IN","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210139030"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Abhishek Tiwari","raw_affiliation_strings":["Samsung R&D Institute (India)"],"affiliations":[{"raw_affiliation_string":"Samsung R&D Institute (India)","institution_ids":["https://openalex.org/I4210139030"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054387446","display_name":"Kedar A. Patwardhan","orcid":"https://orcid.org/0009-0002-2709-1339"},"institutions":[{"id":"https://openalex.org/I4210139030","display_name":"Samsung (India)","ror":"https://ror.org/04cpx2569","country_code":"IN","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210139030"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kedar A. Patwardhan","raw_affiliation_strings":["Samsung R&D Institute (India)"],"affiliations":[{"raw_affiliation_string":"Samsung R&D Institute (India)","institution_ids":["https://openalex.org/I4210139030"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5068604840"],"corresponding_institution_ids":["https://openalex.org/I4210139030"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01897578,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"44","last_page":"44"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9970999956130981,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9954000115394592,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8095343112945557},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.7567321062088013},{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.7157003879547119},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6689174175262451},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6604008674621582},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5842512249946594},{"id":"https://openalex.org/keywords/bhattacharyya-distance","display_name":"Bhattacharyya distance","score":0.583278477191925},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.560981810092926},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.5589522123336792},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5522353053092957},{"id":"https://openalex.org/keywords/histogram-matching","display_name":"Histogram matching","score":0.5313487648963928},{"id":"https://openalex.org/keywords/imaging-phantom","display_name":"Imaging phantom","score":0.5098151564598083},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.48101502656936646},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.470008909702301},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.4680742025375366},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.322529137134552},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24471130967140198},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06709271669387817}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8095343112945557},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7567321062088013},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.7157003879547119},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6689174175262451},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6604008674621582},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5842512249946594},{"id":"https://openalex.org/C24145651","wikidata":"https://www.wikidata.org/wiki/Q2901249","display_name":"Bhattacharyya distance","level":2,"score":0.583278477191925},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.560981810092926},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.5589522123336792},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5522353053092957},{"id":"https://openalex.org/C127449775","wikidata":"https://www.wikidata.org/wiki/Q3785871","display_name":"Histogram matching","level":4,"score":0.5313487648963928},{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.5098151564598083},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.48101502656936646},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.470008909702301},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.4680742025375366},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.322529137134552},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24471130967140198},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06709271669387817},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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":1,"locations":[{"id":"doi:10.1117/12.2293083","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2293083","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2008213480","https://openalex.org/W2013081398","https://openalex.org/W2132926984","https://openalex.org/W2161969291","https://openalex.org/W2182415974","https://openalex.org/W2211600892","https://openalex.org/W2294981640","https://openalex.org/W2469470383","https://openalex.org/W6683411478"],"related_works":["https://openalex.org/W2794704245","https://openalex.org/W3082945799","https://openalex.org/W2247097764","https://openalex.org/W2066185872","https://openalex.org/W1998334300","https://openalex.org/W2110241600","https://openalex.org/W2375849557","https://openalex.org/W2109325523","https://openalex.org/W2146297113","https://openalex.org/W2324508068"],"abstract_inverted_index":{"Feature":[0],"extraction":[1],"plays":[2],"a":[3,31],"pivotal":[4],"role":[5],"in":[6],"pattern":[7],"recognition":[8],"and":[9,77,103,116,123],"matching.":[10],"An":[11],"ideal":[12],"feature":[13,54,99,109],"should":[14],"be":[15],"invariant":[16],"to":[17,82],"image":[18,92,121],"transformations":[19],"such":[20,73],"as":[21,59,61,74],"translation,":[22],"rotation,":[23],"scaling,":[24],"etc.":[25],"In":[26,94],"this":[27],"work,":[28],"we":[29],"present":[30],"novel":[32],"rotation-invariant":[33],"feature,":[34],"which":[35],"is":[36],"based":[37],"on":[38,55,110],"Histogram":[39],"of":[40,47,85,91],"Oriented":[41],"Gradients":[42],"(HOG).":[43],"We":[44,66],"compare":[45],"performance":[46],"the":[48,52,86,97,107],"proposed":[49,87,98],"approach":[50,88],"with":[51],"HOG":[53,108],"2D":[56],"phantom":[57,111],"data,":[58],"well":[60],"3D":[62],"medical":[63],"imaging":[64],"data.":[65],"have":[67],"used":[68],"traditional":[69],"histogram":[70],"comparison":[71],"measures":[72],"Bhattacharyya":[75],"distance":[76],"Normalized":[78],"Correlation":[79],"Coefficient":[80],"(NCC)":[81],"assess":[83],"efficacy":[84],"under":[89],"effects":[90],"rotation.":[93],"our":[95],"experiments,":[96],"performs":[100],"40%,":[101],"20%,":[102],"28%":[104],"better":[105],"than":[106],"(2D),":[112],"Computed":[113],"Tomography":[114],"(CT-3D),":[115],"Ultrasound":[117],"(US-3D)":[118],"data":[119],"for":[120],"matching,":[122],"landmark":[124],"tracking":[125],"tasks":[126],"respectively.":[127]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
