Research Areas
Biomedical Subjects
Links
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)
-
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)
Collaboration Network
Top Collaborators
- Abstract No. 294 Analysis of Non-Tunneled Central Venous Catheter Placement Trends Among Medicare Patients (2010-2022): Procedural Volume, Specialty Involvement, and Reimbursement Patterns
- Abstract No. 294 Analysis of Non-Tunneled Central Venous Catheter Placement Trends Among Medicare Patients (2010-2022): Procedural Volume, Specialty Involvement, and Reimbursement Patterns
- Abstract No. 294 Analysis of Non-Tunneled Central Venous Catheter Placement Trends Among Medicare Patients (2010-2022): Procedural Volume, Specialty Involvement, and Reimbursement Patterns
- Generalizability of AI-based image segmentation and centering estimation algorithm: a multi-region, multi-center, and multi-scanner study
- Generalizability of AI-based image segmentation and centering estimation algorithm: a multi-region, multi-center, and multi-scanner study
- Generalizability of AI-based image segmentation and centering estimation algorithm: a multi-region, multi-center, and multi-scanner study
- Generalizability of AI-based image segmentation and centering estimation algorithm: a multi-region, multi-center, and multi-scanner study
- Generalizability of AI-based image segmentation and centering estimation algorithm: a multi-region, multi-center, and multi-scanner study
- Generalizability of AI-based image segmentation and centering estimation algorithm: a multi-region, multi-center, and multi-scanner study
- Generalizability of AI-based image segmentation and centering estimation algorithm: a multi-region, multi-center, and multi-scanner study
- Generalizability of AI-based image segmentation and centering estimation algorithm: a multi-region, multi-center, and multi-scanner study
- Generalizability of AI-based image segmentation and centering estimation algorithm: a multi-region, multi-center, and multi-scanner study
Similar Researchers
Based on overlapping research topics