Audio-based tissue classification - preliminary investigation for a needle procedure Article Swipe
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1515/cdbme-2023-1087
Image-guided and minimally invasive procedures still require confirmation on having reached a target. Intraoperative imaging is not always sufficient or conclusive as it comes with artifacts that can come with a certain amount of ambiguity and inaccurate location information. As an alternative to imaging, we want to explore sounds produced by the biopsy needle tip while advancing and interacting with tissue. In this paper, we show that by analyzing vibroacoustic signals acquired at the proximal end of the needle we are able to differentiate the tissue type. In total, 419 audio samples of 5 tissues were acquired and converted to spectrograms used as input to a convolutional neural network. Using this experimental setup we were able to differentiate the tissue types with an F1 score of 71.64%. Based on these results we were able to demonstrate the feasibility of our approach, as well as the importance of further experiments to ensure that vibroacoustic sounds produced by the needle tip can be a new navigation method.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1515/cdbme-2023-1087
- https://www.degruyter.com/document/doi/10.1515/cdbme-2023-1087/pdf
- OA Status
- gold
- Cited By
- 1
- References
- 9
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4386936413
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4386936413Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1515/cdbme-2023-1087Digital Object Identifier
- Title
-
Audio-based tissue classification - preliminary investigation for a needle procedureWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-09-01Full publication date if available
- Authors
-
Witold Serwatka, Katarzyna Heryan, Joanna Sorysz, Alfredo Illanes, Axel Boese, Gabrielle A. Krombach, Michael FriebeList of authors in order
- Landing page
-
https://doi.org/10.1515/cdbme-2023-1087Publisher landing page
- PDF URL
-
https://www.degruyter.com/document/doi/10.1515/cdbme-2023-1087/pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.degruyter.com/document/doi/10.1515/cdbme-2023-1087/pdfDirect OA link when available
- Concepts
-
Computer science, Spectrogram, Convolutional neural network, Artificial intelligence, Ambiguity, Needle biopsy, Computer vision, Pattern recognition (psychology), Biopsy, Speech recognition, Biomedical engineering, Radiology, Medicine, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1Per-year citation counts (last 5 years)
- References (count)
-
9Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4386936413 |
|---|---|
| doi | https://doi.org/10.1515/cdbme-2023-1087 |
| ids.doi | https://doi.org/10.1515/cdbme-2023-1087 |
| ids.openalex | https://openalex.org/W4386936413 |
| fwci | 0.33737499 |
| type | article |
| title | Audio-based tissue classification - preliminary investigation for a needle procedure |
| biblio.issue | 1 |
| biblio.volume | 9 |
| biblio.last_page | 350 |
| biblio.first_page | 347 |
| topics[0].id | https://openalex.org/T12419 |
| topics[0].field.id | https://openalex.org/fields/27 |
| topics[0].field.display_name | Medicine |
| topics[0].score | 0.9962999820709229 |
| topics[0].domain.id | https://openalex.org/domains/4 |
| topics[0].domain.display_name | Health Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2740 |
| topics[0].subfield.display_name | Pulmonary and Respiratory Medicine |
| topics[0].display_name | Phonocardiography and Auscultation Techniques |
| topics[1].id | https://openalex.org/T11698 |
| topics[1].field.id | https://openalex.org/fields/19 |
| topics[1].field.display_name | Earth and Planetary Sciences |
| topics[1].score | 0.935699999332428 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1910 |
| topics[1].subfield.display_name | Oceanography |
| topics[1].display_name | Underwater Acoustics Research |
| topics[2].id | https://openalex.org/T11309 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9126999974250793 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1711 |
| topics[2].subfield.display_name | Signal Processing |
| topics[2].display_name | Music and Audio Processing |
| is_xpac | False |
| apc_list.value | 1000 |
| apc_list.currency | EUR |
| apc_list.value_usd | 1078 |
| apc_paid.value | 1000 |
| apc_paid.currency | EUR |
| apc_paid.value_usd | 1078 |
| concepts[0].id | https://openalex.org/C41008148 |
| concepts[0].level | 0 |
| concepts[0].score | 0.7284871339797974 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[0].display_name | Computer science |
| concepts[1].id | https://openalex.org/C45273575 |
| concepts[1].level | 2 |
| concepts[1].score | 0.7048519849777222 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q578970 |
| concepts[1].display_name | Spectrogram |
| concepts[2].id | https://openalex.org/C81363708 |
| concepts[2].level | 2 |
| concepts[2].score | 0.6616991758346558 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q17084460 |
| concepts[2].display_name | Convolutional neural network |
| concepts[3].id | https://openalex.org/C154945302 |
| concepts[3].level | 1 |
| concepts[3].score | 0.6058181524276733 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[3].display_name | Artificial intelligence |
| concepts[4].id | https://openalex.org/C2780522230 |
| concepts[4].level | 2 |
| concepts[4].score | 0.5545399785041809 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q1140419 |
| concepts[4].display_name | Ambiguity |
| concepts[5].id | https://openalex.org/C2992613538 |
| concepts[5].level | 3 |
| concepts[5].score | 0.47053155303001404 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q180071 |
| concepts[5].display_name | Needle biopsy |
| concepts[6].id | https://openalex.org/C31972630 |
| concepts[6].level | 1 |
| concepts[6].score | 0.46414557099342346 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q844240 |
| concepts[6].display_name | Computer vision |
| concepts[7].id | https://openalex.org/C153180895 |
| concepts[7].level | 2 |
| concepts[7].score | 0.4534759819507599 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q7148389 |
| concepts[7].display_name | Pattern recognition (psychology) |
| concepts[8].id | https://openalex.org/C2775934546 |
| concepts[8].level | 2 |
| concepts[8].score | 0.3659747838973999 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q179991 |
| concepts[8].display_name | Biopsy |
| concepts[9].id | https://openalex.org/C28490314 |
| concepts[9].level | 1 |
| concepts[9].score | 0.3483104109764099 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q189436 |
| concepts[9].display_name | Speech recognition |
| concepts[10].id | https://openalex.org/C136229726 |
| concepts[10].level | 1 |
| concepts[10].score | 0.32158732414245605 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q327092 |
| concepts[10].display_name | Biomedical engineering |
| concepts[11].id | https://openalex.org/C126838900 |
| concepts[11].level | 1 |
| concepts[11].score | 0.19744399189949036 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q77604 |
| concepts[11].display_name | Radiology |
| concepts[12].id | https://openalex.org/C71924100 |
| concepts[12].level | 0 |
| concepts[12].score | 0.16979160904884338 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q11190 |
| concepts[12].display_name | Medicine |
| concepts[13].id | https://openalex.org/C199360897 |
| concepts[13].level | 1 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q9143 |
| concepts[13].display_name | Programming language |
| keywords[0].id | https://openalex.org/keywords/computer-science |
| keywords[0].score | 0.7284871339797974 |
| keywords[0].display_name | Computer science |
| keywords[1].id | https://openalex.org/keywords/spectrogram |
| keywords[1].score | 0.7048519849777222 |
| keywords[1].display_name | Spectrogram |
| keywords[2].id | https://openalex.org/keywords/convolutional-neural-network |
| keywords[2].score | 0.6616991758346558 |
| keywords[2].display_name | Convolutional neural network |
| keywords[3].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[3].score | 0.6058181524276733 |
| keywords[3].display_name | Artificial intelligence |
| keywords[4].id | https://openalex.org/keywords/ambiguity |
| keywords[4].score | 0.5545399785041809 |
| keywords[4].display_name | Ambiguity |
| keywords[5].id | https://openalex.org/keywords/needle-biopsy |
| keywords[5].score | 0.47053155303001404 |
| keywords[5].display_name | Needle biopsy |
| keywords[6].id | https://openalex.org/keywords/computer-vision |
| keywords[6].score | 0.46414557099342346 |
| keywords[6].display_name | Computer vision |
| keywords[7].id | https://openalex.org/keywords/pattern-recognition |
| keywords[7].score | 0.4534759819507599 |
| keywords[7].display_name | Pattern recognition (psychology) |
| keywords[8].id | https://openalex.org/keywords/biopsy |
| keywords[8].score | 0.3659747838973999 |
| keywords[8].display_name | Biopsy |
| keywords[9].id | https://openalex.org/keywords/speech-recognition |
| keywords[9].score | 0.3483104109764099 |
| keywords[9].display_name | Speech recognition |
| keywords[10].id | https://openalex.org/keywords/biomedical-engineering |
| keywords[10].score | 0.32158732414245605 |
| keywords[10].display_name | Biomedical engineering |
| keywords[11].id | https://openalex.org/keywords/radiology |
| keywords[11].score | 0.19744399189949036 |
| keywords[11].display_name | Radiology |
| keywords[12].id | https://openalex.org/keywords/medicine |
| keywords[12].score | 0.16979160904884338 |
| keywords[12].display_name | Medicine |
| language | en |
| locations[0].id | doi:10.1515/cdbme-2023-1087 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S2738284397 |
| locations[0].source.issn | 2364-5504 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2364-5504 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Current Directions in Biomedical Engineering |
| locations[0].source.host_organization | https://openalex.org/P4310313990 |
| locations[0].source.host_organization_name | De Gruyter |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310313990 |
| locations[0].license | cc-by-nc-nd |
| locations[0].pdf_url | https://www.degruyter.com/document/doi/10.1515/cdbme-2023-1087/pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by-nc-nd |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Current Directions in Biomedical Engineering |
| locations[0].landing_page_url | https://doi.org/10.1515/cdbme-2023-1087 |
| locations[1].id | pmh:oai:doaj.org/article:5d1d93616b0e4cc9b42174bce481f86a |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306401280 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[1].source.host_organization | |
| locations[1].source.host_organization_name | |
| locations[1].source.host_organization_lineage | |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | article |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | Current Directions in Biomedical Engineering, Vol 9, Iss 1, Pp 347-350 (2023) |
| locations[1].landing_page_url | https://doaj.org/article/5d1d93616b0e4cc9b42174bce481f86a |
| indexed_in | crossref, doaj |
| authorships[0].author.id | https://openalex.org/A5092917858 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Witold Serwatka |
| authorships[0].countries | PL |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I686019 |
| authorships[0].affiliations[0].raw_affiliation_string | Faculty of Computer Science, Electronics and Telecommunications, AGH University of Science and Technology, al. A. Mickiewicza 30 , Kraków , Poland |
| authorships[0].institutions[0].id | https://openalex.org/I686019 |
| authorships[0].institutions[0].ror | https://ror.org/00bas1c41 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I686019 |
| authorships[0].institutions[0].country_code | PL |
| authorships[0].institutions[0].display_name | AGH University of Krakow |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Witold Serwatka |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | Faculty of Computer Science, Electronics and Telecommunications, AGH University of Science and Technology, al. A. Mickiewicza 30 , Kraków , Poland |
| authorships[1].author.id | https://openalex.org/A5041074444 |
| authorships[1].author.orcid | https://orcid.org/0000-0001-8104-7828 |
| authorships[1].author.display_name | Katarzyna Heryan |
| authorships[1].countries | PL |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I686019 |
| authorships[1].affiliations[0].raw_affiliation_string | Department of Measurement and Electronics, AGH University of Science and Technology , Kraków , Poland |
| authorships[1].institutions[0].id | https://openalex.org/I686019 |
| authorships[1].institutions[0].ror | https://ror.org/00bas1c41 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I686019 |
| authorships[1].institutions[0].country_code | PL |
| authorships[1].institutions[0].display_name | AGH University of Krakow |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Katarzyna Heryan |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Department of Measurement and Electronics, AGH University of Science and Technology , Kraków , Poland |
| authorships[2].author.id | https://openalex.org/A5004617197 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-9213-5468 |
| authorships[2].author.display_name | Joanna Sorysz |
| authorships[2].countries | PL |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I686019 |
| authorships[2].affiliations[0].raw_affiliation_string | Department of Measurement and Electronics, AGH University of Science and Technology , Kraków , Poland |
| authorships[2].institutions[0].id | https://openalex.org/I686019 |
| authorships[2].institutions[0].ror | https://ror.org/00bas1c41 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I686019 |
| authorships[2].institutions[0].country_code | PL |
| authorships[2].institutions[0].display_name | AGH University of Krakow |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Joanna Sorysz |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Department of Measurement and Electronics, AGH University of Science and Technology , Kraków , Poland |
| authorships[3].author.id | https://openalex.org/A5062352480 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-0118-0483 |
| authorships[3].author.display_name | Alfredo Illanes |
| authorships[3].countries | DE |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I95793202 |
| authorships[3].affiliations[0].raw_affiliation_string | Intelligente Katheter, Otto-von-Guericke Universtät , Magdeburg , Germany |
| authorships[3].institutions[0].id | https://openalex.org/I95793202 |
| authorships[3].institutions[0].ror | https://ror.org/00ggpsq73 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I95793202 |
| authorships[3].institutions[0].country_code | DE |
| authorships[3].institutions[0].display_name | Otto-von-Guericke University Magdeburg |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Alfredo Illanes |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Intelligente Katheter, Otto-von-Guericke Universtät , Magdeburg , Germany |
| authorships[4].author.id | https://openalex.org/A5035721017 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-5874-7145 |
| authorships[4].author.display_name | Axel Boese |
| authorships[4].countries | DE |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I95793202 |
| authorships[4].affiliations[0].raw_affiliation_string | Intelligente Katheter, Otto-von-Guericke Universtät , Magdeburg , Germany |
| authorships[4].institutions[0].id | https://openalex.org/I95793202 |
| authorships[4].institutions[0].ror | https://ror.org/00ggpsq73 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I95793202 |
| authorships[4].institutions[0].country_code | DE |
| authorships[4].institutions[0].display_name | Otto-von-Guericke University Magdeburg |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Axel Boese |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Intelligente Katheter, Otto-von-Guericke Universtät , Magdeburg , Germany |
| authorships[5].author.id | https://openalex.org/A5113106734 |
| authorships[5].author.orcid | |
| authorships[5].author.display_name | Gabrielle A. Krombach |
| authorships[5].countries | DE |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I200763008 |
| authorships[5].affiliations[0].raw_affiliation_string | Department of Diagnostic and Interventional Radiology, University Hospital, Justus-Liebig-University , Giessen , Germany |
| authorships[5].institutions[0].id | https://openalex.org/I200763008 |
| authorships[5].institutions[0].ror | https://ror.org/033eqas34 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I200763008 |
| authorships[5].institutions[0].country_code | DE |
| authorships[5].institutions[0].display_name | Justus-Liebig-Universität Gießen |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Gabrielle A. Krombach |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | Department of Diagnostic and Interventional Radiology, University Hospital, Justus-Liebig-University , Giessen , Germany |
| authorships[6].author.id | https://openalex.org/A5006854061 |
| authorships[6].author.orcid | https://orcid.org/0000-0002-8624-0800 |
| authorships[6].author.display_name | Michael Friebe |
| authorships[6].countries | PL |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I686019 |
| authorships[6].affiliations[0].raw_affiliation_string | Department of Biocybernetics and Biomedical Engineering, AGH University of Science and Technology , Kraków , Poland |
| authorships[6].institutions[0].id | https://openalex.org/I686019 |
| authorships[6].institutions[0].ror | https://ror.org/00bas1c41 |
| authorships[6].institutions[0].type | education |
| authorships[6].institutions[0].lineage | https://openalex.org/I686019 |
| authorships[6].institutions[0].country_code | PL |
| authorships[6].institutions[0].display_name | AGH University of Krakow |
| authorships[6].author_position | last |
| authorships[6].raw_author_name | Michael Friebe |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | Department of Biocybernetics and Biomedical Engineering, AGH University of Science and Technology , Kraków , Poland |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.degruyter.com/document/doi/10.1515/cdbme-2023-1087/pdf |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2023-09-22T00:00:00 |
| display_name | Audio-based tissue classification - preliminary investigation for a needle procedure |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T12419 |
| primary_topic.field.id | https://openalex.org/fields/27 |
| primary_topic.field.display_name | Medicine |
| primary_topic.score | 0.9962999820709229 |
| primary_topic.domain.id | https://openalex.org/domains/4 |
| primary_topic.domain.display_name | Health Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2740 |
| primary_topic.subfield.display_name | Pulmonary and Respiratory Medicine |
| primary_topic.display_name | Phonocardiography and Auscultation Techniques |
| related_works | https://openalex.org/W2092820169, https://openalex.org/W2081545967, https://openalex.org/W2102984496, https://openalex.org/W3146344619, https://openalex.org/W2986315147, https://openalex.org/W2586697405, https://openalex.org/W110326197, https://openalex.org/W2041255953, https://openalex.org/W2034720634, https://openalex.org/W2427532180 |
| cited_by_count | 1 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 1 |
| locations_count | 2 |
| best_oa_location.id | doi:10.1515/cdbme-2023-1087 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S2738284397 |
| best_oa_location.source.issn | 2364-5504 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2364-5504 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Current Directions in Biomedical Engineering |
| best_oa_location.source.host_organization | https://openalex.org/P4310313990 |
| best_oa_location.source.host_organization_name | De Gruyter |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310313990 |
| best_oa_location.license | cc-by-nc-nd |
| best_oa_location.pdf_url | https://www.degruyter.com/document/doi/10.1515/cdbme-2023-1087/pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by-nc-nd |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Current Directions in Biomedical Engineering |
| best_oa_location.landing_page_url | https://doi.org/10.1515/cdbme-2023-1087 |
| primary_location.id | doi:10.1515/cdbme-2023-1087 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S2738284397 |
| primary_location.source.issn | 2364-5504 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2364-5504 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Current Directions in Biomedical Engineering |
| primary_location.source.host_organization | https://openalex.org/P4310313990 |
| primary_location.source.host_organization_name | De Gruyter |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310313990 |
| primary_location.license | cc-by-nc-nd |
| primary_location.pdf_url | https://www.degruyter.com/document/doi/10.1515/cdbme-2023-1087/pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by-nc-nd |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Current Directions in Biomedical Engineering |
| primary_location.landing_page_url | https://doi.org/10.1515/cdbme-2023-1087 |
| publication_date | 2023-09-01 |
| publication_year | 2023 |
| referenced_works | https://openalex.org/W2886178186, https://openalex.org/W3208743843, https://openalex.org/W1981276685, https://openalex.org/W4327602354, https://openalex.org/W2980063649, https://openalex.org/W2187089797, https://openalex.org/W1972567154, https://openalex.org/W2107789863, https://openalex.org/W4290709727 |
| referenced_works_count | 9 |
| abstract_inverted_index.5 | 94 |
| abstract_inverted_index.a | 12, 31, 106, 162 |
| abstract_inverted_index.As | 40 |
| abstract_inverted_index.F1 | 124 |
| abstract_inverted_index.In | 62, 88 |
| abstract_inverted_index.an | 41, 123 |
| abstract_inverted_index.as | 22, 103, 142, 144 |
| abstract_inverted_index.at | 73 |
| abstract_inverted_index.be | 161 |
| abstract_inverted_index.by | 51, 68, 156 |
| abstract_inverted_index.is | 16 |
| abstract_inverted_index.it | 23 |
| abstract_inverted_index.of | 34, 77, 93, 126, 139, 147 |
| abstract_inverted_index.on | 9, 129 |
| abstract_inverted_index.or | 20 |
| abstract_inverted_index.to | 43, 47, 83, 100, 105, 117, 135, 150 |
| abstract_inverted_index.we | 45, 65, 80, 114, 132 |
| abstract_inverted_index.419 | 90 |
| abstract_inverted_index.and | 2, 36, 58, 98 |
| abstract_inverted_index.are | 81 |
| abstract_inverted_index.can | 28, 160 |
| abstract_inverted_index.end | 76 |
| abstract_inverted_index.new | 163 |
| abstract_inverted_index.not | 17 |
| abstract_inverted_index.our | 140 |
| abstract_inverted_index.the | 52, 74, 78, 85, 119, 137, 145, 157 |
| abstract_inverted_index.tip | 55, 159 |
| abstract_inverted_index.able | 82, 116, 134 |
| abstract_inverted_index.come | 29 |
| abstract_inverted_index.show | 66 |
| abstract_inverted_index.that | 27, 67, 152 |
| abstract_inverted_index.this | 63, 111 |
| abstract_inverted_index.used | 102 |
| abstract_inverted_index.want | 46 |
| abstract_inverted_index.well | 143 |
| abstract_inverted_index.were | 96, 115, 133 |
| abstract_inverted_index.with | 25, 30, 60, 122 |
| abstract_inverted_index.Based | 128 |
| abstract_inverted_index.Using | 110 |
| abstract_inverted_index.audio | 91 |
| abstract_inverted_index.comes | 24 |
| abstract_inverted_index.input | 104 |
| abstract_inverted_index.score | 125 |
| abstract_inverted_index.setup | 113 |
| abstract_inverted_index.still | 6 |
| abstract_inverted_index.these | 130 |
| abstract_inverted_index.type. | 87 |
| abstract_inverted_index.types | 121 |
| abstract_inverted_index.while | 56 |
| abstract_inverted_index.always | 18 |
| abstract_inverted_index.amount | 33 |
| abstract_inverted_index.biopsy | 53 |
| abstract_inverted_index.ensure | 151 |
| abstract_inverted_index.having | 10 |
| abstract_inverted_index.needle | 54, 79, 158 |
| abstract_inverted_index.neural | 108 |
| abstract_inverted_index.paper, | 64 |
| abstract_inverted_index.sounds | 49, 154 |
| abstract_inverted_index.tissue | 86, 120 |
| abstract_inverted_index.total, | 89 |
| abstract_inverted_index.71.64%. | 127 |
| abstract_inverted_index.certain | 32 |
| abstract_inverted_index.explore | 48 |
| abstract_inverted_index.further | 148 |
| abstract_inverted_index.imaging | 15 |
| abstract_inverted_index.method. | 165 |
| abstract_inverted_index.reached | 11 |
| abstract_inverted_index.require | 7 |
| abstract_inverted_index.results | 131 |
| abstract_inverted_index.samples | 92 |
| abstract_inverted_index.signals | 71 |
| abstract_inverted_index.target. | 13 |
| abstract_inverted_index.tissue. | 61 |
| abstract_inverted_index.tissues | 95 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.acquired | 72, 97 |
| abstract_inverted_index.imaging, | 44 |
| abstract_inverted_index.invasive | 4 |
| abstract_inverted_index.location | 38 |
| abstract_inverted_index.network. | 109 |
| abstract_inverted_index.produced | 50, 155 |
| abstract_inverted_index.proximal | 75 |
| abstract_inverted_index.advancing | 57 |
| abstract_inverted_index.ambiguity | 35 |
| abstract_inverted_index.analyzing | 69 |
| abstract_inverted_index.approach, | 141 |
| abstract_inverted_index.artifacts | 26 |
| abstract_inverted_index.converted | 99 |
| abstract_inverted_index.minimally | 3 |
| abstract_inverted_index.conclusive | 21 |
| abstract_inverted_index.importance | 146 |
| abstract_inverted_index.inaccurate | 37 |
| abstract_inverted_index.navigation | 164 |
| abstract_inverted_index.procedures | 5 |
| abstract_inverted_index.sufficient | 19 |
| abstract_inverted_index.alternative | 42 |
| abstract_inverted_index.demonstrate | 136 |
| abstract_inverted_index.experiments | 149 |
| abstract_inverted_index.feasibility | 138 |
| abstract_inverted_index.interacting | 59 |
| abstract_inverted_index.Image-guided | 1 |
| abstract_inverted_index.confirmation | 8 |
| abstract_inverted_index.experimental | 112 |
| abstract_inverted_index.information. | 39 |
| abstract_inverted_index.spectrograms | 101 |
| abstract_inverted_index.convolutional | 107 |
| abstract_inverted_index.differentiate | 84, 118 |
| abstract_inverted_index.vibroacoustic | 70, 153 |
| abstract_inverted_index.Intraoperative | 14 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| corresponding_author_ids | https://openalex.org/A5092917858 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 7 |
| corresponding_institution_ids | https://openalex.org/I686019 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/14 |
| sustainable_development_goals[0].score | 0.5299999713897705 |
| sustainable_development_goals[0].display_name | Life below water |
| citation_normalized_percentile.value | 0.66217491 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |