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Phil G. Campbell

dblp:64/2660 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2008
0000-0003-4309-250XORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1Graphics, computer vision, multimedia, augmented reality and games · 1Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Computational fabrication · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%
Artificial intelligence
1 paper
Probabilistic and Bayesian machine learning · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational fabrication › microfabrication
microrobot fabrication		 0.112007
Microrobotically Fabricated Biological Scaffolds for Tissue Engineering · ICRA 2007
Machine learning › Probabilistic and Bayesian machine learning › experimental design
bayesian experimental design		 0.012005
Bayesian computer-aided experimental design of heterogeneous scaffolds for tissue engineering · Comput. Aided Des. 2005

Methods — techniques the papers use, named apart from their topics

bayesian experimental design · 0.1polymer solidification · 0.1micropipette drawing · 0.1
YearPublicationVenuePosition
2008 Cell population tracking and lineage construction with spatiotemporal context
Eric D. Miller, Takeo Kanade, Lee E. Weiss, Phil G. Campbell
 Medical Image Anal.6
2007 Microrobotically Fabricated Biological Scaffolds for Tissue Engineering
abstract
A microrobotic method for fabricating multilayered poly(lactic acid) (PLA) biological scaffolds using micropipettes for tissue engineering applications is presented. Biological scaffolds are fabricated over several different substrates by drawing and solidification of a viscous liquid polymer solution pumped continuously through a glass micropipette. The proposed method produces highly aligned, multilayered, crisscrossed fiber scaffolds with user specified pore sizes and diameters in the range from 1 to 10 micrometer. Attachment, proliferation and differentiation of C2C12 mouse pluripotential cells seeded on individual, parallel, and intersecting fibers is successfully demonstrated. The proposed robotic methodology consistently provides parameterized biological scaffolds to aid studies in tissue engineering and to develop novel MEMS, filtration and controlled drug delivery devices
Amrinder S. Nain, Franklin Chung, Michael Rule, Julie A. Jadlowiec, Phil G. Campbell, Cristina H. Amon, Metin Sitti
 ICRA5
2005 Bayesian computer-aided experimental design of heterogeneous scaffolds for tissue engineering
Lee E. Weiss, Cristina H. Amon, Susan Finger, Eric D. Miller, David A. Romero, I. Verdinelli, Lynn Walker, Phil G. Campbell
 Comput. Aided Des.8