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This is a "connection" page, showing publications co-authored by JANIO SZKLARUK and ALIYA QAYYUM.
JANIO SZKLARUK
Connection Strength
0.352
ALIYA QAYYUM
  1. Novel deep learning-based noise reduction technique for prostate magnetic resonance imaging. Abdom Radiol (NY). 2021 07; 46(7):3378-3386.
    View in: PubMed
    Score: 0.194
  2. Feasibility of Automated Volumetric Assessment of Large Hepatocellular Carcinomas' Responses to Transarterial Chemoembolization. Front Oncol. 2020; 10:572.
    View in: PubMed
    Score: 0.046
  3. Automated Volumetric Assessment of Hepatocellular Carcinoma Response to Sorafenib: A Pilot Study. J Comput Assist Tomogr. 2019 May/Jun; 43(3):499-506.
    View in: PubMed
    Score: 0.043
  4. Evaluation of Abdominal Computed Tomography Image Quality Using a New Version of Vendor-Specific Model-Based Iterative Reconstruction. J Comput Assist Tomogr. 2017 Jan; 41(1):67-74.
    View in: PubMed
    Score: 0.037
  5. CAIPIRINHA-VIBE and GRAPPA-VIBE for liver MRI at 1.5 T: a comparative in vivo patient study. J Comput Assist Tomogr. 2015 Mar-Apr; 39(2):263-9.
    View in: PubMed
    Score: 0.032
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.