Papers

2

Total Citations

21

H-Index

2

About

Francisco Haiter‐Neto is a leading figure in oral and maxillofacial radiology, whose research centers on improving the diagnostic accuracy of cone beam computed tomography (CBCT). His major contributions lie in systematically identifying and mitigating image artifacts that compromise clinical interpretation. Notably, his 2019 study on movement and motion-artifact correction systems demonstrated how these technologies significantly enhance image quality and interpretability for critical tasks like implant planning in the anterior maxilla, directly impacting patient care. This work, with 19 citations, has become a reference for understanding detector geometry and artifact management. More recently, he has explored the combined effects of exomass-related and motion artifacts, further refining protocols for artifact reduction. Haiter‐Neto’s research is distinguished by its practical, clinically-oriented approach, bridging technical imaging physics with everyday dental and surgical decision-making. His findings are essential reading for radiologists and clinicians seeking to optimize CBCT workflows and ensure reliable diagnoses in complex anatomical regions.

Research Focus

Key Achievements

2
H-Index
2
Papers
21
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Impact of movement and motion-artefact correction on image quality and interpretability in CBCT units with aligned and lateral-offset detectors
19 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Universidade Estadual de Campinas (UNICAMP), Methodist University of Piracicaba

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago