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Presence Current · Arkansas
Last published 2026
Sources OpenAlex · ORCID
Refreshed 2026-10-06

Giridhar Dasegowda

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8 h-index 31 pubs 179 cited

  • Tomography, X-Ray Computed
  • Humans
  • Artificial Intelligence
  • Adult
  • Middle Aged
  • Aged
  • Female
  • Male
  • Radiography, Thoracic
  • Radiology
  • Retrospective Studies
  • Contrast Media
  • Radiation Dosage
  • Radiography
  • Aged, 80 and over

Biography and Research Information

OverviewAI-generated summary

Giridhar Dasegowda's research focuses on the application of artificial intelligence (AI) in medical imaging, particularly in radiology. His work addresses challenges in implementing AI tools in clinical practice and investigates methods to improve the trustworthiness of AI algorithms, such as saliency maps. He has published on the development of AI models for identifying suboptimal chest radiographs and reducing missed findings on these images. Dasegowda also explores the potential of advanced imaging techniques, like photon counting computed tomography, for artifact reduction in chest CT scans. Additionally, his research includes validating machine learning approaches for medical image classification, such as identifying clavicle fractures without requiring traditional coding.

Metrics

  • h-index: 8
  • Publications: 31
  • Citations: 179

Selected Publications

  • Generalizability of AI-based image segmentation and centering estimation algorithm: a multi-region, multi-center, and multi-scanner study (2025)
    Radiation Protection Dosimetry 1 citation DOI OpenAlex
  • Abstract No. 294 Analysis of Non-Tunneled Central Venous Catheter Placement Trends Among Medicare Patients (2010-2022): Procedural Volume, Specialty Involvement, and Reimbursement Patterns (2024)
    Journal of Vascular and Interventional Radiology DOI OpenAlex

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Collaboration Network

12 Collaborators 4 Institutions 1 Country

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