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Connection

Rodrigo Canellas to Humans

This is a "connection" page, showing publications Rodrigo Canellas has written about Humans.

 
Connection Strength
 
 
 
0.115
 
  1. Canellas R, Kohli MD, Westphalen AC. The Evidence for Using Artificial Intelligence to Enhance Prostate Cancer MR Imaging. Curr Oncol Rep. 2023 04; 25(4):243-250.
    View in: PubMed
    Score: 0.021
  2. Canellas R, Rosenkrantz AB, Taouli B, Sala E, Saini S, Pedrosa I, Wang ZJ, Sahani DV. Abbreviated MRI Protocols for the Abdomen. Radiographics. 2019 May-Jun; 39(3):744-758.
    View in: PubMed
    Score: 0.016
  3. Canellas R, Patel MJ, Agarwal S, Sahani DV. Lesion detection performance of an abbreviated gadoxetic acid-enhanced MRI protocol for colorectal liver metastasis surveillance. Eur Radiol. 2019 Nov; 29(11):5852-5860.
    View in: PubMed
    Score: 0.016
  4. Canellas R, Ackman JB, Digumarthy SR, Price M, Otrakji A, McDermott S, Sharma A, Kalra MK. Submillisievert chest dual energy computed tomography: a pilot study. Br J Radiol. 2018 Feb; 91(1082):20170735.
    View in: PubMed
    Score: 0.015
  5. Canellas R, Burk KS, Parakh A, Sahani DV. Prediction of Pancreatic Neuroendocrine Tumor Grade Based on CT Features and Texture Analysis. AJR Am J Roentgenol. 2018 Feb; 210(2):341-346.
    View in: PubMed
    Score: 0.015
  6. Canellas R, Lo G, Bhowmik S, Ferrone C, Sahani D. Pancreatic neuroendocrine tumor: Correlations between MRI features, tumor biology, and clinical outcome after surgery. J Magn Reson Imaging. 2018 02; 47(2):425-432.
    View in: PubMed
    Score: 0.014
  7. Canellas R, Mehrkhani F, Patino M, Kambadakone A, Sahani D. Characterization of Portal Vein Thrombosis (Neoplastic Versus Bland) on CT Images Using Software-Based Texture Analysis and Thrombus Density (Hounsfield Units). AJR Am J Roentgenol. 2016 Nov; 207(5):W81-W87.
    View in: PubMed
    Score: 0.013
  8. Almeida RR, Lo GC, Patino M, Bizzo B, Canellas R, Sahani DV. Advances in Pancreatic CT Imaging. AJR Am J Roentgenol. 2018 Jul; 211(1):52-66.
    View in: PubMed
    Score: 0.004
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.

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