Alejandro Martin Gomez
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor
Also affiliated: Johns Hopkins University (2021–2026); Klinik und Poliklinik für Hals-, Nasen-, Ohrenheilkunde (2023); Technical University of Munich (2019–2022)
Research Areas
Biomedical Subjects
Links
Biography and Research Information
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 computer graphics and visualization techniques can enhance precision and user interaction in these environments. He has published on topics such as surgical tool tracking using off-the-shelf AR head-mounted displays and the development of AR principles for medical applications. Gomez also explores the impact of different visualization techniques on user perception, such as depth perception in optical see-through displays and alignment in VR. His research includes work on robotic navigation autonomy for subretinal injections, utilizing intelligent real-time virtual imaging and deep learning-based registration approaches. Gomez holds an h-index of 12 with 461 total citations across 55 publications. Key collaborators include Mehran Armand and Simon C. Mears.
Metrics
- h-index: 12
- Publications: 52
- Citations: 485
Positions
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Assistant Professor 2024–presentUniversity of Arkansas Department of Electrical Engineering and Computer Science ORCID
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Assistant Research Professor 2022–2024Johns Hopkins University Computer Science ORCID
Selected Publications
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Explainable AI for Automated User-Specific Feedback in Surgical Skill Acquisition (2025)
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End-to-end 2D/3D registration from pre-operative MRI to intra-operative fluoroscopy for orthopedic procedures (2025)
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An Image-Guided Robotic System for Transcranial Magnetic Stimulation: System Development and Experimental Evaluation (2025)
Collaboration Network
Top Collaborators
- An Image-Guided Robotic System for Transcranial Magnetic Stimulation: System Development and Experimental Evaluation
- End-to-end 2D/3D registration from pre-operative MRI to intra-operative fluoroscopy for orthopedic procedures
- An Image-Guided Robotic System for Transcranial Magnetic Stimulation: System Development and Experimental Evaluation
- An Image-Guided Robotic System for Transcranial Magnetic Stimulation: System Development and Experimental Evaluation
- An Image-Guided Robotic System for Transcranial Magnetic Stimulation: System Development and Experimental Evaluation
- An Image-Guided Robotic System for Transcranial Magnetic Stimulation: System Development and Experimental Evaluation
- An Image-Guided Robotic System for Transcranial Magnetic Stimulation: System Development and Experimental Evaluation
- An Image-Guided Robotic System for Transcranial Magnetic Stimulation: System Development and Experimental Evaluation
- An Image-Guided Robotic System for Transcranial Magnetic Stimulation: System Development and Experimental Evaluation
- End-to-end 2D/3D registration from pre-operative MRI to intra-operative fluoroscopy for orthopedic procedures
- End-to-end 2D/3D registration from pre-operative MRI to intra-operative fluoroscopy for orthopedic procedures
- End-to-end 2D/3D registration from pre-operative MRI to intra-operative fluoroscopy for orthopedic procedures
- End-to-end 2D/3D registration from pre-operative MRI to intra-operative fluoroscopy for orthopedic procedures
- End-to-end 2D/3D registration from pre-operative MRI to intra-operative fluoroscopy for orthopedic procedures
- End-to-end 2D/3D registration from pre-operative MRI to intra-operative fluoroscopy for orthopedic procedures
- Explainable AI for Automated User-Specific Feedback in Surgical Skill Acquisition
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