Rosa M. Martinez

University of Zurich

Papers

1

Total Citations

36

H-Index

1

About

Rosa M. Martinez is a pioneering researcher in forensic radiology and minimally invasive postmortem investigation, whose work has fundamentally advanced the integration of robotic technology into forensic pathology. Her primary research focuses on CT-guided needle biopsy techniques and robotic-assisted tissue sampling for postmortem diagnosis, addressing critical challenges in forensic medicine where traditional autopsy methods may be limited or undesirable. Martinez’s most significant contribution is her landmark study on the B-Rob II needle-positioning robot for CT-guided postmortem needle biopsy, which demonstrated that robotic systems can achieve precise tissue and fluid sample retrieval for histologic diagnosis in forensic investigations. This work, cited 36 times, established a new paradigm for minimally invasive autopsy procedures, offering a less destructive alternative to conventional methods while maintaining diagnostic accuracy. Her research has profound implications for cases requiring tissue preservation, cultural or religious objections to autopsy, and situations where rapid, targeted sampling is essential. By bridging robotics, radiology, and forensic pathology, Martinez has created a foundation for future innovations in postmortem diagnostics. Her work continues to influence the development of automated forensic tools and has been recognized as a critical step toward standardizing image-guided, robot-assisted autopsy techniques in medicolegal practice worldwide.

Research Focus

Key Achievements

1
H-Index
1
Papers
36
Total Citations
36
Avg Citations/Paper
🏆 Most Cited Paper
<scp>CT</scp>‐Guided, Minimally Invasive, Postmortem Needle Biopsy Using the <scp>B</scp>‐<scp>R</scp>ob <scp>II</scp> Needle‐Positioning Robot
36 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Zurich

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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