Alejandro Martin‐Gomez Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Assistant Professor

University of Arkansas at Fayetteville

faculty

11 h-index 57 pubs 398 cited

Research Areas

Robotics and Sensor-Based Localization Medical Imaging Techniques and Applications Surgical Simulation and Training Advanced Neural Network Applications Technology Adoption and User Behaviour Computer Graphics and Visualization Techniques Interprofessional Education and Collaboration

Links

ORCID Lab Website Research Group

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OverviewAI-generated summary

Alejandro Martin‐Gomez's research focuses on the application of augmented reality (AR) and virtual reality (VR) technologies in medical settings, particularly in surgical navigation and training. His work investigates how these immersive technologies can enhance surgical precision and improve educational outcomes for healthcare professionals.

Martin‐Gomez has published research on surgical tool tracking using off-the-shelf AR head-mounted displays and the development of robotic navigation autonomy for procedures like subretinal injections. He also explores the perceptual aspects of AR, examining how focus and context visualization techniques impact depth perception in optical see-through displays. His publications include work on deep learning-based registration for OCT-guided robotic surgery and methods for generating surgical scenes for physics-based iOCT synthesis. He has a scholarly output of 57 publications with 398 citations and an h-index of 11.

Metrics

h-index: 11
Publications: 57
Citations: 398

Selected Publications

Explainable AI for Automated User-Specific Feedback in Surgical Skill Acquisition (2025) DOI
End-to-end 2D/3D registration from pre-operative MRI to intra-operative fluoroscopy for orthopedic procedures (2025) DOI
An Image-Guided Robotic System for Transcranial Magnetic Stimulation: System Development and Experimental Evaluation (2025) DOI