{"id":"https://openalex.org/W1488001420","doi":"https://doi.org/10.1007/978-3-540-78640-5_52","title":"Edge-Preserving Denoising for Segmentation in CT-images","display_name":"Edge-Preserving Denoising for Segmentation in CT-images","publication_year":2008,"publication_date":"2008-11-05","ids":{"openalex":"https://openalex.org/W1488001420","doi":"https://doi.org/10.1007/978-3-540-78640-5_52","mag":"1488001420"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-540-78640-5_52","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-78640-5_52","pdf_url":null,"source":{"id":"https://openalex.org/S4210235615","display_name":"Informatik aktuell","issn_l":"1431-472X","issn":["1431-472X","2628-8958"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatik aktuell","raw_type":"book-chapter"},"type":"book-chapter","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/A5048357114","display_name":"Eva Eibenberger","orcid":"https://orcid.org/0000-0003-3560-830X"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Eva Eibenberger","raw_affiliation_strings":["Lehrstuhl f\u00fcr Mustererkennung, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lehrstuhl f\u00fcr Mustererkennung, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073716536","display_name":"Anja Borsdorf","orcid":null},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Anja Borsdorf","raw_affiliation_strings":["Lehrstuhl f\u00fcr Mustererkennung, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lehrstuhl f\u00fcr Mustererkennung, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101414319","display_name":"Andreas Wimmer","orcid":"https://orcid.org/0000-0003-1009-4306"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Wimmer","raw_affiliation_strings":["Lehrstuhl f\u00fcr Mustererkennung, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lehrstuhl f\u00fcr Mustererkennung, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058662444","display_name":"Joachim Hornegger","orcid":null},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Joachim Hornegger","raw_affiliation_strings":["Lehrstuhl f\u00fcr Mustererkennung, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lehrstuhl f\u00fcr Mustererkennung, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I181369854"],"apc_list":null,"apc_paid":null,"fwci":1.1887,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.77999124,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"257","last_page":"261"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9990000128746033,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9990000128746033,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9988999962806702,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9884999990463257,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7667679190635681},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.7608013153076172},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7316684722900391},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6826226711273193},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6358252763748169},{"id":"https://openalex.org/keywords/anisotropic-diffusion","display_name":"Anisotropic diffusion","score":0.626367449760437},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6004279255867004},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5442122220993042},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5297556519508362},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5206510424613953},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5152566432952881},{"id":"https://openalex.org/keywords/bilateral-filter","display_name":"Bilateral filter","score":0.49893951416015625},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4454762935638428},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1649458110332489}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7667679190635681},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7608013153076172},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7316684722900391},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6826226711273193},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6358252763748169},{"id":"https://openalex.org/C203504353","wikidata":"https://www.wikidata.org/wiki/Q4765461","display_name":"Anisotropic diffusion","level":3,"score":0.626367449760437},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6004279255867004},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5442122220993042},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5297556519508362},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5206510424613953},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5152566432952881},{"id":"https://openalex.org/C156140930","wikidata":"https://www.wikidata.org/wiki/Q860417","display_name":"Bilateral filter","level":3,"score":0.49893951416015625},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4454762935638428},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1649458110332489}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-540-78640-5_52","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-78640-5_52","pdf_url":null,"source":{"id":"https://openalex.org/S4210235615","display_name":"Informatik aktuell","issn_l":"1431-472X","issn":["1431-472X","2628-8958"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatik aktuell","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.140.9371","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.140.9371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-347/p257.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W76135325","https://openalex.org/W1744049945","https://openalex.org/W2099244020","https://openalex.org/W2150134853","https://openalex.org/W3211330693"],"related_works":["https://openalex.org/W1998728244","https://openalex.org/W2185902295","https://openalex.org/W2475096862","https://openalex.org/W2103507220","https://openalex.org/W233850645","https://openalex.org/W3144569342","https://openalex.org/W2379232376","https://openalex.org/W4313052709","https://openalex.org/W2945274617","https://openalex.org/W2007919187"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
