Mehran Armand
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Professor
Also affiliated: United States Department of Defense (2016); Harvard University (2015); Johns Hopkins University (2001–2026); University of Waterloo (1998–2002); Johns Hopkins Medicine (2015–2025); Walter Reed National Military Medical Center (2015–2016); Johns Hopkins Bayview Medical Center (2009–2020); Johns Hopkins University Applied Physics Laboratory (2004–2024); Integrative Medicine Institute (2024); Johns Hopkins Hospital (2011–2025); Technical University of Munich (2024); Beihang University (2016)
Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
Mehran Armand's research focuses on developing and evaluating advanced robotic and image-guidance systems for surgical interventions, particularly in orthopaedics. He has led multiple NIH-funded projects totaling over $1.2 million, including a robotic system for spinal decompression and interbody fusion, an image-guided workstation for bone defects, and robotic augmentation for osteoporotic hip procedures, all with biomechanical planning components. His work involves the design of novel robotic manipulators, such as cable-driven and continuum manipulators, for minimally invasive procedures and complex tasks like core decompression of the femoral head.
Armand's research also explores the integration of medical imaging, computer-assisted surgery, and machine learning. He has investigated intraoperative image-based registration techniques, including the use of fiducial-based C-arm tracking and GPU-acceleration. His recent work includes the application of machine learning for X-ray image analysis and systematic reviews on the impact of machine learning in image-guided interventions. He also studies tool tracking for augmented reality head-mounted displays in surgical settings.
With a significant publication record (246 publications, h-index of 37, 4,298 citations), Armand collaborates with researchers at the University of Arkansas at Fayetteville and the University of Arkansas for Medical Sciences. His research group actively maintains a lab website, indicating ongoing research activities and a commitment to advancing surgical technology and methodologies.
Metrics
- h-index: 39
- Publications: 243
- Citations: 4,670
Positions
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Professor 2024–presentUniversity of Arkansas Department of Mechanical Engineering ORCID
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Professor 2019–2024Johns Hopkins University Orthopaedic Surgery, Computer Science, & Mechanical Engineering ORCID
Selected Publications
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PENGWIN 2026: Peripelvic Fracture Segmentation and Reduction Planning Challenge (2026)
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PENGWIN 2026: Peripelvic Fracture Segmentation and Reduction Planning Challenge (2026)
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Extend Your Horizon: A Device-Agnostic Surgical Tool Tracking Framework with Multi-View Optimization for Augmented Reality (2026)
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Revisiting lesion tracking in 3D total body photography (2026)
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FluoroSAM: A Language-Promptable Foundation Model for Flexible X-Ray Image Segmentation (2025)
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Uncertainty Quantification in Image-based 2D/3D Registration and Its Relationship with Accuracy (2025)
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An Image-Guided Robotic System for Transcranial Magnetic Stimulation: System Development and Experimental Evaluation (2025)
Federal Grants 3 $1,218,905 total
Robotic Augmentation of Osteoporotic Hip with Biomechanical Planning
Robotic System for Spinal Decompression and Interbody Fusion
Collaboration Network
Top Collaborators
- An Image-Guided Robotic System for Transcranial Magnetic Stimulation: System Development and Experimental Evaluation
- Extend Your Horizon: A Device-Agnostic Surgical Tool Tracking Framework with Multi-View Optimization for Augmented Reality
- FluoroSAM: A Language-Promptable Foundation Model for Flexible X-Ray Image Segmentation
- Uncertainty Quantification in Image-based 2D/3D Registration and Its Relationship with Accuracy
- FluoroSAM: A Language-Promptable Foundation Model for Flexible X-Ray Image Segmentation
- Uncertainty Quantification in Image-based 2D/3D Registration and Its Relationship with Accuracy
- PENGWIN 2026: Peripelvic Fracture Segmentation and Reduction Planning Challenge
- PENGWIN 2026: Peripelvic Fracture Segmentation and Reduction Planning Challenge
- PENGWIN 2026: Peripelvic Fracture Segmentation and Reduction Planning Challenge
- PENGWIN 2026: Peripelvic Fracture Segmentation and Reduction Planning Challenge
- PENGWIN 2026: Peripelvic Fracture Segmentation and Reduction Planning Challenge
- PENGWIN 2026: Peripelvic Fracture Segmentation and Reduction Planning Challenge
- PENGWIN 2026: Peripelvic Fracture Segmentation and Reduction Planning Challenge
- PENGWIN 2026: Peripelvic Fracture Segmentation and Reduction Planning Challenge
- PENGWIN 2026: Peripelvic Fracture Segmentation and Reduction Planning Challenge
- PENGWIN 2026: Peripelvic Fracture Segmentation and Reduction Planning Challenge
- PENGWIN 2026: Peripelvic Fracture Segmentation and Reduction Planning Challenge
- PENGWIN 2026: Peripelvic Fracture Segmentation and Reduction Planning Challenge
- PENGWIN 2026: Peripelvic Fracture Segmentation and Reduction Planning Challenge
- PENGWIN 2026: Peripelvic Fracture Segmentation and Reduction Planning Challenge
- PENGWIN 2026: Peripelvic Fracture Segmentation and Reduction Planning Challenge
- PENGWIN 2026: Peripelvic Fracture Segmentation and Reduction Planning Challenge
- PENGWIN 2026: Peripelvic Fracture Segmentation and Reduction Planning Challenge
- PENGWIN 2026: Peripelvic Fracture Segmentation and Reduction Planning Challenge
- PENGWIN 2026: Peripelvic Fracture Segmentation and Reduction Planning Challenge
- PENGWIN 2026: Peripelvic Fracture Segmentation and Reduction Planning Challenge
- PENGWIN 2026: Peripelvic Fracture Segmentation and Reduction Planning Challenge
- PENGWIN 2026: Peripelvic Fracture Segmentation and Reduction Planning Challenge
- PENGWIN 2026: Peripelvic Fracture Segmentation and Reduction Planning Challenge
- PENGWIN 2026: Peripelvic Fracture Segmentation and Reduction Planning Challenge
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