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Babak Namazi

ResearcherPublications, citations & collaboration network

Babak Namazi is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 24 works, 659 citations, an h-index of 10 and an i10-index of 10.

24
Works
659
Citations
10
h-index
10
i10-index

How has Babak Namazi's publication output changed over time?

ScholarIQpublication output · 2013–2024

Output grew0% over the shown period — from 1 works in 2013 to 1 in 2024.

1
1
1
2
2
2
1
2013201820202021202220232024

What are the most-cited papers on Babak Namazi?

ScholarIQmost cited works
Artificial Intelligence for Intraoperative Guidance
Amin Madani, Babak Namazi, Maria S. Altieri, Daniel A. Hashimoto, Angela María Rivera, Philip H. Pucher, Allison Navarrete-Welton, Ganesh Sankaranarayanan, L. Michael Brunt, Allan Okrainec, Adnan Alseidi
Annals of Surgery. 2020376 CitationsOPEN ACCESS
Validation of an artificial intelligence platform for the guidance of safe laparoscopic cholecystectomy
Simon Laplante, Babak Namazi, Parmiss Kiani, Daniel A. Hashimoto, Adnan Alseidi, Mauricio Pasten, L. Michael Brunt, Sujata Gill, Brian R. Davis, Matthew B. Bloom, Luise I. Pernar, Allan Okrainec, Amin Madani
Surgical Endoscopy. 202259 Citations
A contextual detector of surgical tools in laparoscopic videos using deep learning
Babak Namazi, Ganesh Sankaranarayanan, Venkat Devarajan
Surgical Endoscopy. 202144 CitationsOPEN ACCESS
Developing artificial intelligence models for medical student suturing and knot-tying video-based assessment and coaching
Madhuri B. Nagaraj, Babak Namazi, Ganesh Sankaranarayanan, Daniel J. Scott
Surgical Endoscopy. 202239 CitationsOPEN ACCESS
Automated segmentation of phases, steps, and tasks in laparoscopic cholecystectomy using deep learning
Shruti R. Hegde, Babak Namazi, Niyenth Iyengar, Sarah Cao, Alexis Desir, Carolina Marques, Heidi Mahnken, Ryan P. Dumas, Ganesh Sankaranarayanan
Surgical Endoscopy. 202333 Citations

Related on ScholarIQ

Baylor University Medical Center
Institution
Artificial Intelligence for Intraoperative Guidance
Paper
Validation of an artificial intelligence platform for the guidance of safe laparoscopic cholecystectomy
Paper
A contextual detector of surgical tools in laparoscopic videos using deep learning
Paper
Developing artificial intelligence models for medical student suturing and knot-tying video-based assessment and coaching
Paper
Automated segmentation of phases, steps, and tasks in laparoscopic cholecystectomy using deep learning
Paper
470M+ articles · free account