Search

Your search keyword '"Sze, Raymond W."' showing total 244 results
Start Over Author "Sze, Raymond W."
244 results on '"Sze, Raymond W."'

22. Supplementary Figure 1 from Tumor Paint: A Chlorotoxin:Cy5.5 Bioconjugate for Intraoperative Visualization of Cancer Foci

Author

Veiseh, Mandana, primary, Gabikian, Patrik, primary, Bahrami, S-Bahram, primary, Veiseh, Omid, primary, Zhang, Miqin, primary, Hackman, Robert C., primary, Ravanpay, Ali C., primary, Stroud, Mark R., primary, Kusuma, Yumiko, primary, Hansen, Stacey J., primary, Kwok, Deborah, primary, Munoz, Nina M., primary, Sze, Raymond W., primary, Grady, William M., primary, Greenberg, Norman M., primary, Ellenbogen, Richard G., primary, and Olson, James M., primary

Published
2023
Full Text
View/download PDF

23. Supplementary Table 1 from Tumor Paint: A Chlorotoxin:Cy5.5 Bioconjugate for Intraoperative Visualization of Cancer Foci

Author

Veiseh, Mandana, primary, Gabikian, Patrik, primary, Bahrami, S-Bahram, primary, Veiseh, Omid, primary, Zhang, Miqin, primary, Hackman, Robert C., primary, Ravanpay, Ali C., primary, Stroud, Mark R., primary, Kusuma, Yumiko, primary, Hansen, Stacey J., primary, Kwok, Deborah, primary, Munoz, Nina M., primary, Sze, Raymond W., primary, Grady, William M., primary, Greenberg, Norman M., primary, Ellenbogen, Richard G., primary, and Olson, James M., primary

Published
2023
Full Text
View/download PDF

24. Supplementary Figure 2 from Tumor Paint: A Chlorotoxin:Cy5.5 Bioconjugate for Intraoperative Visualization of Cancer Foci

Author

Veiseh, Mandana, primary, Gabikian, Patrik, primary, Bahrami, S-Bahram, primary, Veiseh, Omid, primary, Zhang, Miqin, primary, Hackman, Robert C., primary, Ravanpay, Ali C., primary, Stroud, Mark R., primary, Kusuma, Yumiko, primary, Hansen, Stacey J., primary, Kwok, Deborah, primary, Munoz, Nina M., primary, Sze, Raymond W., primary, Grady, William M., primary, Greenberg, Norman M., primary, Ellenbogen, Richard G., primary, and Olson, James M., primary

Published
2023
Full Text
View/download PDF

25. Deep learning-based prediction of rib fracture presence in frontal radiographs of children under two years of age: a proof-of-concept study

Author

Ghosh, Adarsh, primary, Bose, Saurav, additional, Patton, Daniella, additional, Kumar, Ishaan, additional, Khalkhali, Vahid, additional, Henry, M. Katherine, additional, Ouyang, Minhui, additional, Huang, Hao, additional, Vossough, Arastoo, additional, Sze, Raymond W, additional, Sotardi, Susan, additional, and Francavilla, Michael, additional

Published
2023
Full Text
View/download PDF

26. MR Enterography Image Fusion in Small Bowel Analysis

Author

Cerrolaza, Juan J., Safdar, Nabile M., Sze, Raymond W., Linguraru, Marius George, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Erdt, Marius, editor, Linguraru, Marius George, editor, Oyarzun Laura, Cristina, editor, Shekhar, Raj, editor, Wesarg, Stefan, editor, González Ballester, Miguel Angel, editor, and Drechsler, Klaus, editor

Published
2014
Full Text
View/download PDF

28. Efficient Symbolic Signatures for Classifying Craniosynostosis Skull Deformities

Author

Lin, H. Jill, Ruiz-Correa, Salvador, Sze, Raymond W., Cunningham, Michael L., Speltz, Matthew L., Hing, Anne V., Shapiro, Linda G., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Liu, Yanxi, editor, Jiang, Tianzi, editor, and Zhang, Changshui, editor

Published
2005
Full Text
View/download PDF

38. Symbolic signatures for deformable shapes

Author

Ruiz-Correa, Salvador, Shapiro, Linda G., Meila, Marina, Berson, Gabriel, Cunningham, Michael L., and Sze, Raymond W.

Subjects
Algorithm, Geometric figures -- Structure, Craniosynostoses -- Analysis, Algorithms -- Analysis
Abstract

Recognizing classes of objects from their shape is an unsolved problem in machine vision that entails the ability of a computer system to represent and generalize complex geometrical information on the basis of a finite amount of prior data. A practical approach to this problem is particularly difficult to implement, not only because the shape variability of relevant object classes is generally large, but also because standard sensing devices used to capture the real world only provide a partial view of a scene, so there is partial information pertaining to the objects of interest. In this work, we develop an algorithmic framework for recognizing classes of deformable shapes from range data. The basic idea of our component-based approach is to generalize existing surface representations that have proven effective in recognizing specific 3D objects to the problem of object classes using our newly introduced symbolic-signature representation that is robust to deformations, as opposed to a numeric representation that is often tied to a specific shape. Based on this approach, we present a system that is capable of recognizing and classifying a variety of object shape classes from range data. We demonstrate our system in a series of large-scale experiments that were motivated by specific applications in scene analysis and medical diagnosis. Index Terms--Three-dimensional object recognition and classification, deformable shapes, range data, numeric and symbolic signatures, Mercer kernel, scene analysis, craniosynostosis, craniofacial malformations.

Published
2006

43. Composite iron oxide–Prussian blue nanoparticles for magnetically guided T1-weighted magnetic resonance imaging and photothermal therapy of tumors

Author

Kale, Shraddha S, Burga, Rachel A, Sweeney, Elizabeth E, Zun, Zungho, Sze, Raymond W, Tuesca, Anthony, Subramony, J Anand, and Fernandes, Rohan

Subjects
theranostics, iron oxide, photothermal therapy, Prussian blue, Contrast Media, Gadolinium, Mice, Inbred Strains, Phototherapy, Signal-To-Noise Ratio, Ferric Compounds, Magnetic Resonance Imaging, Xenograft Model Antitumor Assays, Theranostic Nanomedicine, Magnetics, Neuroblastoma, cancer, Animals, Humans, Nanoparticles, Female, Original Research, MRI, Ferrocyanides
Abstract

Theranostic nanoparticles offer the potential for mixing and matching disparate diagnostic and therapeutic functionalities within a single nanoparticle for the personalized treatment of diseases. In this article, we present composite iron oxide-gadolinium-containing Prussian blue nanoparticles (Fe3O4@GdPB) as a novel theranostic agent for T1-weighted magnetic resonance imaging (MRI) and photothermal therapy (PTT) of tumors. These particles combine the well-described properties and safety profiles of the constituent Fe3O4 nanoparticles and gadolinium-containing Prussian blue nanoparticles. The Fe3O4@GdPB nanoparticles function both as effective MRI contrast agents and PTT agents as determined by characterizing studies performed in vitro and retain their properties in the presence of cells. Importantly, the Fe3O4@GdPB nanoparticles function as effective MRI contrast agents in vivo by increasing signal:noise ratios in T1-weighted scans of tumors and as effective PTT agents in vivo by decreasing tumor growth rates and increasing survival in an animal model of neuroblastoma. These findings demonstrate the potential of the Fe3O4@GdPB nanoparticles to function as effective theranostic agents.

Published
2017

Catalog

Books, media, physical & digital resources
See catalog results