Colorado PROFILES, The Colorado Clinical and Translational Sciences Institute (CCTSI)
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Connection

Harrison Bai to Kidney Neoplasms

This is a "connection" page, showing publications Harrison Bai has written about Kidney Neoplasms.

 
Connection Strength
 
 
 
1.288
 
  1. Choi JW, Hu R, Zhao Y, Purkayastha S, Wu J, McGirr AJ, Stavropoulos SW, Silva AC, Soulen MC, Palmer MB, Zhang PJL, Zhu C, Ahn SH, Bai HX. Preoperative prediction of the stage, size, grade, and necrosis score in clear cell renal cell carcinoma using MRI-based radiomics. Abdom Radiol (NY). 2021 06; 46(6):2656-2664.
    View in: PubMed
    Score: 0.480
  2. Purkayastha S, Zhao Y, Wu J, Hu R, McGirr A, Singh S, Chang K, Huang RY, Zhang PJ, Silva A, Soulen MC, Stavropoulos SW, Zhang Z, Bai HX. Differentiation of low and high grade renal cell carcinoma on routine MRI with an externally validated automatic machine learning algorithm. Sci Rep. 2020 11 11; 10(1):19503.
    View in: PubMed
    Score: 0.475
  3. Zhao Y, Chang M, Wang R, Xi IL, Chang K, Huang RY, Vallières M, Habibollahi P, Dagli MS, Palmer M, Zhang PJ, Silva AC, Yang L, Soulen MC, Zhang Z, Bai HX, Stavropoulos SW. Deep Learning Based on MRI for Differentiation of Low- and High-Grade in Low-Stage Renal Cell Carcinoma. J Magn Reson Imaging. 2020 11; 52(5):1542-1549.
    View in: PubMed
    Score: 0.114
  4. Xi IL, Zhao Y, Wang R, Chang M, Purkayastha S, Chang K, Huang RY, Silva AC, Vallières M, Habibollahi P, Fan Y, Zou B, Gade TP, Zhang PJ, Soulen MC, Zhang Z, Bai HX, Stavropoulos SW. Deep Learning to Distinguish Benign from Malignant Renal Lesions Based on Routine MR Imaging. Clin Cancer Res. 2020 04 15; 26(8):1944-1952.
    View in: PubMed
    Score: 0.112
  5. Wu J, Chang J, Bai HX, Su C, Zhang PJ, Karakousis G, Reddy S, Hunt S, Soulen MC, Stavropoulos SW, Zhang Z. A Comparison of Cryoablation with Heat-Based Thermal Ablation for Treatment of Clinical T1a Renal Cell Carcinoma: A National Cancer Database Study. J Vasc Interv Radiol. 2019 Jul; 30(7):1027-1033.e3.
    View in: PubMed
    Score: 0.108
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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