{"id":"https://openalex.org/W3081612277","doi":"https://doi.org/10.1145/3406181","title":"Neural Denoising for Path Tracing of Medical Volumetric Data","display_name":"Neural Denoising for Path Tracing of Medical Volumetric Data","publication_year":2020,"publication_date":"2020-08-26","ids":{"openalex":"https://openalex.org/W3081612277","doi":"https://doi.org/10.1145/3406181","mag":"3081612277"},"language":"en","primary_location":{"id":"doi:10.1145/3406181","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3406181","pdf_url":null,"source":{"id":"https://openalex.org/S4210220973","display_name":"Proceedings of the ACM on Computer Graphics and Interactive Techniques","issn_l":"2577-6193","issn":["2577-6193"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Computer Graphics and Interactive Techniques","raw_type":"journal-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/A5030086331","display_name":"Nikolai Hofmann","orcid":"https://orcid.org/0009-0008-8441-5030"},"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":"Nikolai Hofmann","raw_affiliation_strings":["Visual Computing, University of Erlangen-Nuremberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visual Computing, University of Erlangen-Nuremberg, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078694623","display_name":"Jana Martschinke","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":"Jana Martschinke","raw_affiliation_strings":["Visual Computing, University of Erlangen-Nuremberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visual Computing, University of Erlangen-Nuremberg, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035169954","display_name":"Klaus Engel","orcid":"https://orcid.org/0009-0001-1423-898X"},"institutions":[{"id":"https://openalex.org/I4210153902","display_name":"Siemens Healthineers (Germany)","ror":"https://ror.org/0449c4c15","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210153902"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Klaus Engel","raw_affiliation_strings":["Siemens Healthineers, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Siemens Healthineers, Germany","institution_ids":["https://openalex.org/I4210153902"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053580386","display_name":"Marc Stamminger","orcid":"https://orcid.org/0000-0001-8699-3442"},"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":"Marc Stamminger","raw_affiliation_strings":["Visual Computing, University of Erlangen-Nuremberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visual Computing, University of Erlangen-Nuremberg, Germany","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0768,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.79975178,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"3","issue":"2","first_page":"1","last_page":"18"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9983000159263611,"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"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9983000159263611,"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/computer-science","display_name":"Computer science","score":0.8046011924743652},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6934159994125366},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6645086407661438},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6449065208435059},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6429921984672546},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5724524855613708},{"id":"https://openalex.org/keywords/path-tracing","display_name":"Path tracing","score":0.5662422180175781},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.45530739426612854},{"id":"https://openalex.org/keywords/bilateral-filter","display_name":"Bilateral filter","score":0.4276009500026703}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8046011924743652},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6934159994125366},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6645086407661438},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6449065208435059},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6429921984672546},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5724524855613708},{"id":"https://openalex.org/C110541219","wikidata":"https://www.wikidata.org/wiki/Q72948","display_name":"Path tracing","level":3,"score":0.5662422180175781},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.45530739426612854},{"id":"https://openalex.org/C156140930","wikidata":"https://www.wikidata.org/wiki/Q860417","display_name":"Bilateral filter","level":3,"score":0.4276009500026703},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3406181","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3406181","pdf_url":null,"source":{"id":"https://openalex.org/S4210220973","display_name":"Proceedings of the ACM on Computer Graphics and Interactive Techniques","issn_l":"2577-6193","issn":["2577-6193"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Computer Graphics and Interactive Techniques","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W574204587","https://openalex.org/W1535835519","https://openalex.org/W1793657606","https://openalex.org/W1901129140","https://openalex.org/W1969679542","https://openalex.org/W1971958581","https://openalex.org/W1977778188","https://openalex.org/W2020681231","https://openalex.org/W2090346540","https://openalex.org/W2122585444","https://openalex.org/W2133665775","https://openalex.org/W2168668658","https://openalex.org/W2207744012","https://openalex.org/W2519546352","https://openalex.org/W2562637781","https://openalex.org/W2737368828","https://openalex.org/W2738449271","https://openalex.org/W2739234443","https://openalex.org/W2755063399","https://openalex.org/W2811168853","https://openalex.org/W2885656008","https://openalex.org/W2887178829","https://openalex.org/W2902857081","https://openalex.org/W2951412969","https://openalex.org/W2958080091","https://openalex.org/W2961552930","https://openalex.org/W2962698741","https://openalex.org/W2983340109","https://openalex.org/W2986464317","https://openalex.org/W3100398946","https://openalex.org/W4241614188","https://openalex.org/W4288242633","https://openalex.org/W4297833218","https://openalex.org/W4300908245"],"related_works":["https://openalex.org/W2902083801","https://openalex.org/W2391378893","https://openalex.org/W2950602979","https://openalex.org/W4385284185","https://openalex.org/W4300010773","https://openalex.org/W1998728244","https://openalex.org/W4361200097","https://openalex.org/W2013201530","https://openalex.org/W4376115546","https://openalex.org/W233850645"],"abstract_inverted_index":{"In":[0,23],"this":[1],"paper,":[2],"we":[3,84,136,163],"transfer":[4],"machine":[5],"learning":[6],"techniques":[7],"previously":[8],"applied":[9],"to":[10,16,33,38,70,151],"denoising":[11,90],"surface-only":[12],"Monte":[13],"Carlo":[14],"renderings":[15],"path-traced":[17,29,64,91],"visualizations":[18],"of":[19,26,62,74,93,121,149],"medical":[20,27],"volumetric":[21,94,133],"data.":[22],"the":[24,56,60,71,82,98,132,177],"domain":[25],"imaging,":[28],"videos":[30,65,92],"turned":[31],"out":[32],"be":[34],"an":[35],"efficient":[36],"means":[37],"visualize":[39],"and":[40,109,124,146,155],"understand":[41],"internal":[42],"structures,":[43],"in":[44,176],"particular":[45],"for":[46,59,77,89,131,143],"less":[47],"experienced":[48],"viewers":[49],"such":[50],"as":[51,174],"students":[52],"or":[53],"patients.":[54],"However,":[55],"computational":[57],"demands":[58],"rendering":[61],"high-quality":[63],"are":[66],"very":[67],"high":[68],"due":[69],"large":[72],"number":[73],"samples":[75,113,150,157],"necessary":[76],"each":[78],"pixel.":[79],"To":[80],"accelerate":[81],"process,":[83],"present":[85,137],"a":[86,119,125,138,161],"learning-based":[87],"technique":[88],"data":[95],"by":[96],"increasing":[97],"sample":[99],"count":[100],"per":[101],"pixel;":[102],"both":[103,128],"through":[104],"spatial":[105],"(integrating":[106],"neighboring":[107],"samples)":[108],"temporal":[110,153],"filtering":[111],"(reusing":[112],"over":[114,158],"time).":[115],"Our":[116],"approach":[117],"uses":[118],"set":[120],"additional":[122],"features":[123],"loss":[126],"function":[127],"specifically":[129],"designed":[130],"case.":[134],"Furthermore,":[135],"novel":[139],"network":[140],"architecture":[141],"tailored":[142],"our":[144],"purpose,":[145],"introduce":[147],"reprojection":[148],"improve":[152],"stability":[154],"reuse":[156],"frames.":[159],"As":[160],"result,":[162],"achieve":[164],"good":[165],"image":[166],"quality":[167],"even":[168],"from":[169],"severely":[170],"undersampled":[171],"input":[172],"images,":[173],"visible":[175],"teaser":[178],"image.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}