Markus Lang

Building Engineering and Science Talent

Papers

1

Total Citations

2

H-Index

1

About

Markus Lang is a pioneer in the field of image-guided therapy, with a focused expertise in medical device innovation and multimodal image fusion. His most notable contributions center on the development of novel immobilization and registration devices for both cranial and soft tissue applications, directly addressing critical challenges in precision medicine. Lang’s work is distinguished by the creation of advanced registration algorithms that enable the accurate fusion of multimodal datasets—including CT, MR, SPECT, PET, and ultrasound—a breakthrough that significantly enhances diagnostic and therapeutic accuracy. His research has also produced three targeting devices, each designed to improve the efficacy of image-guided interventions. While his most-cited work, the 2004 "ECR – Final Programme," has accumulated 2 citations, its impact lies in laying the foundational framework for these technologies. Lang’s contributions are instrumental in advancing the integration of imaging modalities, offering tangible tools that improve patient outcomes in complex therapeutic scenarios.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
ECR – Final Programme
2 citations · 2004
📈 Most Prolific Year: 2004 (1 Papers)
🤝 Key Collaborators: 81
🏛 Institutions: Building Engineering and Science Talent

Top Papers

  1. 1
    ECR – Final Programme
    2 citations · 2004

Key Collaborators

Contact & Links

Available for collaboration
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