Beschleunigung der MRT-Diagnostik durch Integration innovativer Methoden der Bildrekonstruktion – Compressed Sensing bis Deep Learning

Walter-Rittel, Thula Cannon

DOI: 10.17169/refubium-52917
Published: 2026
Container: Not recorded
Publisher: Charité - Universitätsmedizin Berlin
Open access: no

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
supportingPublication license: A publication license was supplied: https://www.fu-berlin.de/sites/ub/publizieren/refubium/rechtliches/nutzungsbedingungen.html. Presence improves reuse transparency, not research validity. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.17169/refubium-52917,
  title = {Beschleunigung der MRT-Diagnostik durch Integration innovativer Methoden der Bildrekonstruktion – Compressed Sensing bis Deep Learning},
  author = {Walter-Rittel, Thula Cannon},
  year = {2026},
  doi = {10.17169/refubium-52917},
  url = {https://doi.org/10.17169/refubium-52917}
}

RIS

TY  - JOUR
TI  - Beschleunigung der MRT-Diagnostik durch Integration innovativer Methoden der Bildrekonstruktion – Compressed Sensing bis Deep Learning
AU  - Walter-Rittel, Thula Cannon
PY  - 2026
DO  - 10.17169/refubium-52917
UR  - https://doi.org/10.17169/refubium-52917
ER  -

APA

Cannon, W. T. (2026). Beschleunigung der MRT-Diagnostik durch Integration innovativer Methoden der Bildrekonstruktion – Compressed Sensing bis Deep Learning. https://doi.org/10.17169/refubium-52917

Source records

datacite · retrieved 2026-09-24T21:53:03.453Z