{"id":"https://openalex.org/W4285210326","doi":"https://doi.org/10.1364/translational.2022.jtu3a.39","title":"U-net empowered real-time LED-based Photoacoustic imaging","display_name":"U-net empowered real-time LED-based Photoacoustic imaging","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285210326","doi":"https://doi.org/10.1364/translational.2022.jtu3a.39"},"language":"en","primary_location":{"id":"doi:10.1364/translational.2022.jtu3a.39","doi":"https://doi.org/10.1364/translational.2022.jtu3a.39","is_oa":false,"landing_page_url":"https://doi.org/10.1364/translational.2022.jtu3a.39","pdf_url":null,"source":{"id":"https://openalex.org/S4363605665","display_name":"Optics in the Life Sciences","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"Biophotonics Congress: Biomedical Optics 2022 (Translational, Microscopy, OCT, OTS, BRAIN)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5050889945","display_name":"Avijit Paul","orcid":"https://orcid.org/0009-0005-7949-8482","observed_orcids":["https://orcid.org/0009-0005-7949-8482"]},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Avijit Paul","raw_affiliation_strings":["Department of Biomedical Engineering, Tufts University, Medford, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Tufts University, Medford, MA, USA","institution_ids":["https://openalex.org/I121934306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058568678","display_name":"Srivalleesha Mallidi","orcid":"https://orcid.org/0000-0003-1547-1764","observed_orcids":["https://orcid.org/0000-0003-1547-1764"]},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]},{"id":"https://openalex.org/I4210087915","display_name":"Massachusetts General Hospital","ror":"https://ror.org/002pd6e78","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210087915","https://openalex.org/I48633490"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Srivalleesha Mallidi","raw_affiliation_strings":["Department of Biomedical Engineering, Tufts University, Medford, MA, USA","Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, MA 02114"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Tufts University, Medford, MA, USA","institution_ids":["https://openalex.org/I121934306"]},{"raw_affiliation_string":"Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, MA 02114","institution_ids":["https://openalex.org/I4210087915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09248449,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"JTu3A.39","last_page":"JTu3A.39"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":1.0,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.0,"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":0.0,"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/photoacoustic-imaging","display_name":"photoacoustic imaging","score":0.9139999747276306},{"id":"https://openalex.org/keywords/u-net","display_name":"U-Net","score":0.8539999723434448},{"id":"https://openalex.org/keywords/real-time-imaging","display_name":"real-time imaging","score":0.8040000200271606},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"noise reduction","score":0.7829999923706055},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"signal-to-noise ratio","score":0.8190000057220459},{"id":"https://openalex.org/keywords/contrast-to-noise-ratio","display_name":"contrast-to-noise ratio","score":0.9850000143051147},{"id":"https://openalex.org/keywords/subcutaneous-tumor-model","display_name":"subcutaneous tumor model","score":0.8109999895095825},{"id":"https://openalex.org/keywords/in-vivo-imaging","display_name":"in vivo imaging","score":0.7459999918937683}],"concepts":[{"id":"https://openalex.org/C54932901","wikidata":"https://www.wikidata.org/wiki/Q7187705","display_name":"Photoacoustic imaging in biomedicine","level":2,"score":0.7603504657745361},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6654653549194336},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.646854817867279},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.574508786201477},{"id":"https://openalex.org/C86190813","wikidata":"https://www.wikidata.org/wiki/Q5165749","display_name":"Contrast-to-noise ratio","level":4,"score":0.5665591359138489},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5221636295318604},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.4713660776615143},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.46095114946365356},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4525319039821625},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4505780041217804},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33981460332870483},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.2793732285499573},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20627349615097046},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.20551443099975586},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15153947472572327},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.13249865174293518},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0927068293094635},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1364/translational.2022.jtu3a.39","doi":"https://doi.org/10.1364/translational.2022.jtu3a.39","is_oa":false,"landing_page_url":"https://doi.org/10.1364/translational.2022.jtu3a.39","pdf_url":null,"source":{"id":"https://openalex.org/S4363605665","display_name":"Optics in the Life Sciences","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"Biophotonics Congress: Biomedical Optics 2022 (Translational, Microscopy, OCT, OTS, BRAIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1970322047","https://openalex.org/W2078517045","https://openalex.org/W2884630383","https://openalex.org/W2919115771","https://openalex.org/W2974799347","https://openalex.org/W3017237793","https://openalex.org/W3045376140"],"related_works":["https://openalex.org/W4394850236","https://openalex.org/W7144196582","https://openalex.org/W3008670170","https://openalex.org/W4407948226","https://openalex.org/W4392682795","https://openalex.org/W4410580654","https://openalex.org/W3088393730","https://openalex.org/W2758275078","https://openalex.org/W4404885992","https://openalex.org/W3212310744"],"abstract_inverted_index":{"High":[0],"frame-averaging":[1],"ameliorates":[2],"low-fluence":[3],"LED-based":[4],"photoacoustic":[5],"imaging":[6,10],"by":[7],"compromising":[8],"real-time":[9,24],"capability.":[11],"Our":[12],"generalized":[13],"and":[14,21],"noise-robust":[15],"U-net":[16],"framework":[17],"achieves":[18],"high":[19],"signal-to-noise-ratio":[20],"contrast-to-noise-ratio":[22],"in":[23],"for":[25],"in-vivo":[26],"subcutaneous":[27],"tumor":[28],"models,":[29],"outperforming":[30],"standard":[31],"noise":[32],"reduction":[33],"algorithms.":[34]},"counts_by_year":[],"updated_date":"2026-10-26T11:51:55.731654","created_date":"2022-07-14T00:00:00"}