David D. Sampson
Biomedical Engineering · 2014
A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Biomedical Engineering — 13 citations into it
- Radiology, Nuclear Medicine and Imaging — 10 citations into it
Whom David D. Sampson trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Valerie M. Weaver (in Cell Biology)
- Mathias Fink (in Radiology, Nuclear Medicine and Imaging)
- Jeremy Bercoff (in Radiology, Nuclear Medicine and Imaging)
- Mickaël Tanter (in Radiology, Nuclear Medicine and Imaging)
- Kathryn Nightingale (in Radiology, Nuclear Medicine and Imaging)
- Matthew J. Paszek (in Cell Biology)
- Christopher C DuFort (in Cell Biology)
- Gregg E. Trahey (in Radiology, Nuclear Medicine and Imaging)
- Mark L. Palmeri (in Radiology, Nuclear Medicine and Imaging)
Papers from David D. Sampson's perspective
Ordered by how strongly the researchers David D. Sampson trusts endorse each paper. Same corpus, a different order for every researcher.
- On the feasibility of remote palpation using acoustic radiation force. (Journal of the Acoustical Society of America)
- Supersonic shear imaging: a new technique for soft tissue elasticity mapping (IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control)
- Selected methods for imaging elastic properties of biological tissues. (Annual Review of Biomedical Engineering)
- Transient elastography: a new noninvasive method for assessment of hepatic fibrosis. (Ultrasound in Medicine and Biology)
- Breast disease: clinical application of US elastography for diagnosis. (Radiology)
- Acoustic Radiation Force Elasticity Imaging in Diagnostic Ultrasound (IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control)
- Biomechanics and biophysics of cancer cells. (Acta Biomaterialia)
- Nanomechanical analysis of cells from cancer patients. (Nature Nanotechnology)
- Model-based elastography: a survey of approaches to the inverse elasticity problem (Physics in Medicine and Biology)
- The mechanical efficiency of natural materials
Their papers
- A Review of Optical Coherence Elastography: Fundamentals, Techniques and Prospects (2014) — 313 citations