Amber L. Simpson

Memorial Sloan Kettering Cancer Center

Papers

5

Total Citations

34

H-Index

4

About

Amber L. Simpson is a leading researcher in medical image computing and computer-assisted interventions, with a focus on advancing minimally invasive surgery. Her work centers on developing novel technologies for image-guided procedures, particularly in soft tissue ablation and kidney and liver surgery. A key contribution is her development of a tracked 3D ultrasound targeting system integrated with an active cannula, enabling mechanically and electronically shapable thermal energy deposition for percutaneous tumor ablation—a system designed to treat large, multiple, and geometrically complex tumors through a single puncture. This work, published in 2012, has garnered 14 citations and underscores her impact on interventional oncology. Simpson also pioneered a framework for measuring target registration error (TRE) at the tip of optically tracked styluses, using robotic manipulators to collect precise tracking data, and introduced a nonrigid registration method for laparoscopic liver surgery that accounts for deformations from abdominal insufflation. Additionally, she developed a texture-mapping technique for conoscopic surfaces to enhance kidney surgery guidance. As a guest editor for the *Journal of Medical Imaging*, she has helped shape the discourse on technology platforms for image-guided procedures and robotic interventions. Her contributions are vital to improving surgical accuracy and patient outcomes in complex soft tissue interventions.

Research Focus

Key Achievements

4
H-Index
5
Papers
34
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Tracked 3D ultrasound targeting with an active cannula
14 citations · 2012
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: Memorial Sloan Kettering Cancer Center

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago