Results 21 to 30 of about 11,625,642 (355)

Video-rate or high-precision: A flexible range imaging camera [PDF]

, 2008
A range imaging camera produces an output similar to a digital photograph, but every pixel in the image contains distance information as well as intensity.
Dorrington, Adrian A., Payne, Andrew D., Conroy, Richard M., Andrew D. Payne, Jongenelen, Adrian P.P., Adrian A. Dorrington, Adrian P. P. Jongenelen, Carnegie, Dale A., Michael J. Cree, John P. Godbaz, Godbaz, John Peter, Dale A. Carnegie, Richard M. Conroy, Cree, Michael J.   +13 more
core   +1 more source

3D Slicer as an Image Computing Platform for the Quantitative Imaging Network

Magnetic Resonance Imaging, 2012
Quantitative analysis has tremendous but mostly unrealized potential in healthcare to support objective and accurate interpretation of the clinical imaging.
Andrey Fedorov, R. Beichel, Jayashree Kalpathy-Cramer, Julien Finet, J. Fillion-Robin, S. Pujol, Christian Bauer, D. Jennings, F. Fennessy, M. Sonka, J. Buatti, S. Aylward, James V. Miller, S. Pieper, R. Kikinis   +14 more
semanticscholar   +1 more source

Noninvasive molecular imaging of neuroinflammation [PDF]

, 2011
Inflammation is a highly dynamic and complex adaptive process to preserve and restore tissue homeostasis. Originally viewed as an immune-privileged organ, the central nervous system (CNS) is now recognized to have a constant interplay with the innate and
Jacobs, A.H. (Andreas), Bertrand Tavitian, Windhorst, A.D., Lammertsma, A.A., Andreas H Jacobs, Jacobs, A.H., Jacobs, Andreas H., Tavitian, B. (Bertrand), INMiND consortium, Tavitian, Bertrand, Boutin, Herve; id_orcid, Planas, Anna M., Tavitian, B., et al., HENEKA, Michael, Jacobs, Andreas H   +15 more
core   +1 more source

Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

Nature Communications, 2014
Human cancers exhibit strong phenotypic differences that can be visualized noninvasively by medical imaging. Radiomics refers to the comprehensive quantification of tumour phenotypes by applying a large number of quantitative image features.
H. Aerts, E. R. Velazquez, R. Leijenaar, C. Parmar, Patrick Grossmann, Sara Cavalho, J. Bussink, R. Monshouwer, Benjamin Haibe-Kains, D. Rietveld, F. Hoebers, M. Rietbergen, C. Leemans, A. Dekker, John Quackenbush, R. Gillies, P. Lambin   +16 more
semanticscholar   +1 more source

Toward-1mm depth precision with a solid state full-field range imaging system [PDF]

, 2006
Previously, we demonstrated a novel heterodyne based solid-state full-field range-finding imaging system. This system is comprised of modulated LED illumination, a modulated image intensifier, and a digital video camera. A 10 MHz drive is provided with 1
Dorrington, Adrian A., Carnegie, Dale A., Cree, Michael J.   +2 more
core   +1 more source

2D Image Relighting with Image-to-Image Translation

CoRR, 2020
12 pages, 52 Postscript figures, uses cvpr_eso.sty eso-pic.sty ruler ...
Paul Gafton, Erick Maraz
openaire   +2 more sources

Ultra-sensitive fluorescent proteins for imaging neuronal activity

Nature, 2013
Fluorescent calcium sensors are widely used to image neural activity. Using structure-based mutagenesis and neuron-based screening, we developed a family of ultrasensitive protein calcium sensors (GCaMP6) that outperformed other sensors in cultured ...
Tsai-Wen Chen, T. Wardill, Yi Sun, S. Pulver, S. Renninger, Amy Baohan, E. Schreiter, R. Kerr, M. Orger, V. Jayaraman, L. Looger, K. Svoboda, Douglas S. Kim   +12 more
semanticscholar   +1 more source

Laboratory implementation of edge illumination X-ray phase-contrast imaging with energy-resolved detectors [PDF]

, 2015
Edge illumination (EI) X-ray phase-contrast imaging (XPCI) has potential for applications in different fields of research, including materials science, non-destructive industrial testing, small-animal imaging, and medical imaging.
A. Olivo, De Ruvo, L, Endrizzi, M., Kallon, G, SPANDRE, GLORIA, G. Spandre, Vincenzi, A, Kallon, G., A. Brez, Hagen, C. K., Olivo, A, L. De Ruvo, Basta, D, P. C. Diemoz, F. A. Vittoria, Hagen, CK, Olivo, A., C. K. Hagen, Spandre, G, Brez, A., M. Marenzana, Brez, A, DELOGU, PASQUALE, Vittoria, F. A., Marenzana, M., Bellazzini, R, Diemoz, P. C., Vincenzi, A., BELLAZZINI, RONALDO, A. Vincenzi, D. Basta, M. Endrizzi, G. Kallon, R. Bellazzini, Diemoz, PC, Vittoria, FA, Delogu, P, Endrizzi, M, Marenzana, M, De Ruvo, L., Basta, D., P. Delogu   +41 more
core   +1 more source

Medical imaging analysis with artificial neural networks [PDF]

, 2010
Given that neural networks have been widely reported in the research community of medical imaging, we provide a focused literature survey on recent neural network developments in computer-aided diagnosis, medical image segmentation and edge detection ...
Jiang, J., Ren, Jinchang, Trundle, P.
core   +2 more sources

4th Internatinal TPCF Preclinical Imaging Symposium

Frontiers in Biomedical Technologies, 2021
Due to the huge costs and time spent for development of new drugs (around almost $ 1 billion (USD) and 12 Years), investing on the preclinical phase of drug development could be regarded as a great investment for de-risking the clinical phases ...
4th Internatinal TPCF Preclinical Imaging
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