Zobrazeno 1 - 10
of 65
pro vyhledávání: '"BERLIN, ANDREW"'
Autor:
Berlin, Andrew A., Young, Mon, Kaffas, Ahmed El, Gambhir, Sam, Lutz, Amelie, Storto, Maria Luigia, Willmann, Juergen
Molecularly targeted contrast enhanced ultrasound (mCEUS) is a clinically promising approach for early cancer detection through targeted imaging of VEGFR2 (KDR) receptors. We have developed computational enhancement techniques for mCEUS tailored to a
Externí odkaz:
http://arxiv.org/abs/2006.11993
We introduce a new computer aided detection and diagnosis system for lung cancer screening with low-dose CT scans that produces meaningful probability assessments. Our system is based entirely on 3D convolutional neural networks and achieves state-of
Externí odkaz:
http://arxiv.org/abs/1902.03233
Motivated by the problem of computer-aided detection (CAD) of pulmonary nodules, we introduce methods to propagate and fuse uncertainty information in a multi-stage Bayesian convolutional neural network (CNN) architecture. The question we seek to ans
Externí odkaz:
http://arxiv.org/abs/1712.00497
Autor:
Berlin, Andrew A.
The buckling of compressively-loaded members is one of the most important factors limiting the overall strength and stability of a structure. I have developed novel techniques for using active control to wiggle a structural element in such a way that
Externí odkaz:
http://hdl.handle.net/1721.1/6768
Autor:
Berlin, Andrew, Surati, Rajeev
We describe the key role played by partial evaluation in the Supercomputer Toolkit, a parallel computing system for scientific applications that effectively exploits the vast amount of parallelism exposed by partial evaluation. The Supercomputer Tool
Externí odkaz:
http://hdl.handle.net/1721.1/6629
Autor:
Berlin, Andrew A
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.
Includes bibliographical references (leaves 100-104).
by Andrew A. Berlin.
Ph.D.
Includes bibliographical references (leaves 100-104).
by Andrew A. Berlin.
Ph.D.
Externí odkaz:
http://hdl.handle.net/1721.1/12007
Autor:
Berlin, Andrew A., Surati, Rajeev J.
We describe an approach to parallel compilation that seeks to harness the vast amount of fine-grain parallelism that is exposed through partial evaluation of numerically-intensive scientific programs. We have constructed a compiler for the Supercompu
Externí odkaz:
http://hdl.handle.net/1721.1/6616
Autor:
Abelson, Harold, Berlin, Andrew A., Katzenelson, Jacob, McAllister, William H., Rozas, Guillermo J., Sussman, Gerald Jay, Wisdom, Jack
The Toolkit is a family of hardware modules (processors, memory, interconnect, and input-output devices) and a collection of software modules (compilers, simulators, scientific libraries, and high-level front ends) from which high-performance special
Externí odkaz:
http://hdl.handle.net/1721.1/5974
Autor:
Abelson, Harold, Berlin, Andrew A., Katzenelson, Jacob, McAllister, William H., Rozas, Guillermo J., Sussman, Gerald Jay
The Supercomputer Toolkit is a proposed family of standard hardware and software components from which special-purpose machines can be easily configured. Using the Toolkit, a scientist or an engineer, starting with a suitable computational problem, w
Externí odkaz:
http://hdl.handle.net/1721.1/5997
Autor:
Berlin, Andrew, Weise, Daniel
Scientists are faced with a dilemma: either they can write abstract programs that express their understanding of a problem, but which do not execute efficiently; or they can write programs that computers can execute efficiently, but which are difficu
Externí odkaz:
http://hdl.handle.net/1721.1/6513