Harvard Catalyst Profiles

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Dushyant V. Sahani, M.D.

Co-Author

This page shows the publications co-authored by Dushyant Sahani and Anushri Parakh.
Connection Strength

6.057
  1. Reply to "Minimizing IV Iodine Doses for Contrast-Enhanced CT". AJR Am J Roentgenol. 2019 Jul; 213(1):W49.
    View in: PubMed
    Score: 0.823
  2. Low-keV and Low-kVp CT for Positive Oral Contrast Media in Patients with Cancer: A Randomized Clinical Trial. Radiology. 2019 06; 291(3):620-629.
    View in: PubMed
    Score: 0.810
  3. Dual-Energy Computed Tomography: Dose Reduction, Series Reduction, and Contrast Load Reduction in Dual-Energy Computed Tomography. Radiol Clin North Am. 2018 Jul; 56(4):601-624.
    View in: PubMed
    Score: 0.768
  4. Role of rapid kV-switching dual-energy CT in assessment of post-surgical local recurrence of pancreatic adenocarcinoma. Abdom Radiol (NY). 2018 02; 43(2):497-504.
    View in: PubMed
    Score: 0.746
  5. Recognizing and Minimizing Artifacts at Dual-Energy CT. Radiographics. 2021 May-Jun; 41(3):E96.
    View in: PubMed
    Score: 0.234
  6. Recognizing and Minimizing Artifacts at Dual-Energy CT. Radiographics. 2021 Mar-Apr; 41(2):509-523.
    View in: PubMed
    Score: 0.230
  7. Dual-Energy CT Images: Pearls and Pitfalls. Radiographics. 2021 Jan-Feb; 41(1):98-119.
    View in: PubMed
    Score: 0.228
  8. Radiomics Texture Features in Advanced Colorectal Cancer: Correlation with BRAF Mutation and 5-year Overall Survival. Radiol Imaging Cancer. 2020 09; 2(5):e190084.
    View in: PubMed
    Score: 0.224
  9. Correction to: Diagnostic performance of dual-energy CT and subtraction CT for renal lesion detection and characterization. Eur Radiol. 2019 Dec; 29(12):7080.
    View in: PubMed
    Score: 0.212
  10. Urinary Stone Detection on CT Images Using Deep Convolutional Neural Networks: Evaluation of Model Performance and Generalization. Radiol Artif Intell. 2019 Jul; 1(4):e180066.
    View in: PubMed
    Score: 0.207
  11. Diagnostic performance of dual-energy CT and subtraction CT for renal lesion detection and characterization. Eur Radiol. 2019 Dec; 29(12):6559-6570.
    View in: PubMed
    Score: 0.204
  12. Role of dual energy CT to improve diagnosis of non-traumatic abdominal vascular emergencies. Abdom Radiol (NY). 2019 02; 44(2):406-421.
    View in: PubMed
    Score: 0.200
  13. Iodine material density images in dual-energy CT: quantification of contrast uptake and washout in HCC. Abdom Radiol (NY). 2018 12; 43(12):3317-3323.
    View in: PubMed
    Score: 0.198
  14. Virtual Monochromatic Dual-Energy Aortoiliac CT Angiography With Reduced Iodine Dose: A Prospective Randomized Study. AJR Am J Roentgenol. 2019 02; 212(2):467-474.
    View in: PubMed
    Score: 0.197
  15. Dual-energy CT: a phantom comparison of different platforms for abdominal imaging. Eur Radiol. 2018 Jul; 28(7):2745-2755.
    View in: PubMed
    Score: 0.187
  16. 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: 0.184
  17. Material density iodine images in dual-energy CT: Detection and characterization of hypervascular liver lesions compared to magnetic resonance imaging. Eur J Radiol. 2017 Oct; 95:300-306.
    View in: PubMed
    Score: 0.181
  18. Virtual Unenhanced Images: Qualitative and Quantitative Comparison Between Different Dual-Energy CT Scanners in a Patient and Phantom Study. Invest Radiol. 2022 01 01; 57(1):52-61.
    View in: PubMed
    Score: 0.061
  19. Dual-layer dual-energy CT for characterization of adrenal nodules: can virtual unenhanced images replace true unenhanced acquisitions? Abdom Radiol (NY). 2021 09; 46(9):4345-4352.
    View in: PubMed
    Score: 0.058
  20. Abdominal CT manifestations of adverse events to immunotherapy: a primer for radiologists. Abdom Radiol (NY). 2020 09; 45(9):2624-2636.
    View in: PubMed
    Score: 0.056
  21. Systemically Administered Hemostatic Nanoparticles for Identification and Treatment of Internal Bleeding. ACS Biomater Sci Eng. 2019 May 13; 5(5):2563-2576.
    View in: PubMed
    Score: 0.051
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.