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Connection

Ashok Hemal to Coloring Agents

This is a "connection" page, showing publications Ashok Hemal has written about Coloring Agents.
Connection Strength

2.772
  1. Pathak RA, Hemal AK. Intraoperative ICG-fluorescence imaging for robotic-assisted urologic surgery: current status and review of literature. Int Urol Nephrol. 2019 May; 51(5):765-771.
    View in: PubMed
    Score: 0.653
  2. Patel MN, Hemal AK. Molecular Targeted Fluorescence-Guided Intraoperative Imaging of Bladder Cancer Nodal Drainage Using Indocyanine Green During Radical and Partial Cystectomy. Curr Urol Rep. 2016 Oct; 17(10):74.
    View in: PubMed
    Score: 0.550
  3. Manny TB, Patel M, Hemal AK. Fluorescence-enhanced robotic radical prostatectomy using real-time lymphangiography and tissue marking with percutaneous injection of unconjugated indocyanine green: the initial clinical experience in 50 patients. Eur Urol. 2014 Jun; 65(6):1162-8.
    View in: PubMed
    Score: 0.451
  4. Manny TB, Pompeo AS, Hemal AK. Robotic partial adrenalectomy using indocyanine green dye with near-infrared imaging: the initial clinical experience. Urology. 2013 Sep; 82(3):738-42.
    View in: PubMed
    Score: 0.440
  5. Krane LS, Manny TB, Hemal AK. Is near infrared fluorescence imaging using indocyanine green dye useful in robotic partial nephrectomy: a prospective comparative study of 94 patients. Urology. 2012 Jul; 80(1):110-6.
    View in: PubMed
    Score: 0.406
  6. Veccia A, Antonelli A, Hampton LJ, Greco F, PerdonĂ  S, Lima E, Hemal AK, Derweesh I, Porpiglia F, Autorino R. Near-infrared Fluorescence Imaging with Indocyanine Green in Robot-assisted Partial Nephrectomy: Pooled Analysis of Comparative Studies. Eur Urol Focus. 2020 05 15; 6(3):505-512.
    View in: PubMed
    Score: 0.163
  7. Manny TB, Krane LS, Hemal AK. Indocyanine green cannot predict malignancy in partial nephrectomy: histopathologic correlation with fluorescence pattern in 100 patients. J Endourol. 2013 Jul; 27(7):918-21.
    View in: PubMed
    Score: 0.109
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.