Results 211 to 220 of about 271,448 (263)

Computational modelling for personalized transcatheter aortic valve replacement planning: a systematic review of complications and decision support. [PDF]

Front Digit Health
Rauseo E, Bevis L, Chen X, Petersen SE, Mathur A, Slabaugh GG, Roney CH.   +6 more
europepmc   +1 more source

Dome-remnant dissociation after coil embolization of a basilar tip aneurysm: serial MR cisternography, silent MRA, and computational fluid dynamics findings suggest early hemodynamic redistribution. Illustrative case. [PDF]

J Neurosurg Case Lessons
Satoh T, Murakami K, Sasaki M, Abe Y.
europepmc   +1 more source

Deep Learning for Brain Tumour Analysis: A Systematic Review of CNN-Transformer Hybrids in Multimodal Imaging. [PDF]

Int J Biomed Imaging
Antwi SB, Appiahene P, Ayawli BBK, Nimbe P.   +3 more
europepmc   +1 more source

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Computational imaging

Advances in Optics and Photonics, 2018
Joseph Mait, Gary W Euliss
exaly   +2 more sources

Computational plenoptic imaging

ACM SIGGRAPH 2012 Courses, 2012
A new generation of computational cameras is emerging, spawned by the introduction of the Lytro light-field camera to the consumer market and recent accomplishments in the speed at which light can be captured. By exploiting the co-design of camera optics and computational processing, these cameras capture unprecedented details of the plenoptic function:
Wetzstein, G., Ihrke, I., Lanman, D., Heidrich, W., Raskar, R., Akeley, K.   +5 more
openaire   +2 more sources

Computational Plenoptic Imaging

Computer Graphics Forum, 2011
AbstractThe plenoptic function is a ray‐based model for light that includes the colour spectrum as well as spatial, temporal and directional variation. Although digital light sensors have greatly evolved in the last years, one fundamental limitation remains: all standard CCD and CMOS sensors integrate over the dimensions of the plenoptic function as ...
Gordon Wetzstein, Ivo Ihrke, Douglas Lanman, Wolfgang Heidrich   +3 more
openaire   +3 more sources

Multiprocessor computing for images

Proceedings of the IEEE, 1988
A review of image-processing systems developed until now is given, highlighting the weak points of such systems and the trends that have dictated their evolution through the years producing different generations of machines. Each generation may be characterized by the hardware architecture, the programmability features and the relative application ...
CANTONI, VIRGINIO, Levialdi Stefano
openaire   +1 more source

Computing Odor Images

Journal of Agricultural and Food Chemistry, 2017
This perspective examines psychophysical methods that may reveal the algorithms that encode odor images by integrating current data from sensory measurement into a computational model of odor perception. There is evidence that algorithms used by the nervous system to process odor sensations require input from only a few odorants, between three and ...
Madeleine M. Rochelle, Géraldine Julie Prévost, Terry E. Acree   +2 more
openaire   +2 more sources

Computing a Subinterval of the Image

Journal of the ACM, 1974
The problem of computing a desired function value to within a prescribed tolerance can be formulated in the following two distinct ways: Formulation I: Given x and ∈ > 0, compute f (x) to within ∈. Formulation II: Given only that x is in a closed interval X, compute
openaire   +1 more source

Imaging Techniques and Computers

Stereotactic and Functional Neurosurgery, 1995
Imaging technology has been the pacesetter of stereotactic technique since its introduction in clinical practice. Quite recently, the extraordinary quality of diagnostic neuroimages and the growing availability of computing power has widened the field of applications of stereotaxy suggesting, at the same time, substantial evolution of its ...
openaire   +2 more sources