Molecular Imaging in Cancer
By Ralph Weissleder. Science, 2006
1,099 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/f978a74d87941a08b8a04de5ec08186418a69bfb
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Miqin Zhang
- Ron M. A. Heeren
- Gillian Murphy
- Hideaki Nagase
- Isaac Koh
- Jerry S H Lee
- Daniel A. Beard
- Conroy Sun
In Pulmonary and Respiratory Medicine
- Ron M. A. Heeren
- Gillian Murphy
- Hideaki Nagase
- Isaac Koh
- Jerry S H Lee
- Kayvan Najarian
- Conroy Sun
- Liam A. McDonnell
In Radiology, Nuclear Medicine and Imaging
- Ron M. A. Heeren
- Gillian Murphy
- Hideaki Nagase
- Isaac Koh
- Kayvan Najarian
- Liam A. McDonnell
- Ashwin Belle
- Lee Josephson
Citations in the corpus
- Progress in matrix metalloproteinase research. (2008, background): “Imaging of the cleavage of near infra red fluorescent substrates allows the visualization of the expression and activity of MMPs, as well as their influence on the tumor via imaging based biomarkers (Weissleder, 2006).”
- Surface-Charge-Dependent Cell Localization and Cytotoxicity of Cerium Oxide Nanoparticles (2010, neutral): “cluding imaging, diagnostics, and therapy.(1) 7 However, nanomaterial’s great-”
- Imaging mass spectrometry. (2007, methodology): “One can certainly envisage a future in which imaging mass spectrometry, and proteomics in general, are used to identify biomarkers of disease that are then targeted by suitable labels for in-vivo PET or NIRF imaging in live organisms.”
- Accessories to the crime: functions of cells recruited to the tumor microenvironment. (2012, positive): “Advancements in noninvasive imaging and analysis of blood-borne tumor-derived material may also prove of value for profiling the constituents of the tumor stroma (Daldrup-Link et al., 2011; Weissleder, 2006).”
- Application of Deep Learning in Automated Analysis of Molecular Images in Cancer: A Survey (2017, neutral): “, apoptosis, angiogenesis, and metastasis) [58].”
- Magnetic Nanoparticle Sensors (2009, positive): “Superparamagnetic nanoparticles made of iron oxide and a polymeric coating are clinically proven magnetic resonance (MR) contrast agents and widely used in pre-clinical, targeted molecular imaging applications [2,3].”
- Surface-structure-regulated cell-membrane penetration by monolayer-protected nanoparticles. (2008, neutral): “dtd" [ ]> Nanomaterials are of great interest for use in biomedicine as imaging tool”