Harvard Catalyst Profiles

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Raul N. Uppot, M.D.

Co-Author

This page shows the publications co-authored by Raul Uppot and Dania Daye.
Connection Strength

1.756
  1. CT Texture Analysis and Machine Learning Improve Post-ablation Prognostication in Patients with Adrenal Metastases: A Proof of Concept. Cardiovasc Intervent Radiol. 2019 Dec; 42(12):1771-1776.
    View in: PubMed
    Score: 0.863
  2. Role of Machine Learning and Artificial Intelligence in Interventional Oncology. Curr Oncol Rep. 2021 04 20; 23(6):70.
    View in: PubMed
    Score: 0.242
  3. Infection Control in Interventional Radiology During the COVID-19 Era. Curr Probl Diagn Radiol. 2021 May-Jun; 50(3):284-287.
    View in: PubMed
    Score: 0.237
  4. Early trends and predictors of renal function following computed tomography-guided percutaneous cryoablation of a renal mass in patients with and without prior renal impairment. Radiol Bras. 2020 May-Jun; 53(3):141-147.
    View in: PubMed
    Score: 0.226
  5. Local Control and Survival after Image-Guided Percutaneous Ablation of Adrenal Metastases. J Vasc Interv Radiol. 2018 02; 29(2):276-284.
    View in: PubMed
    Score: 0.188
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.