Results 41 to 50 of about 30,785,842 (283)

Contrast agents and renal cell apoptosis [PDF]

, 2008
Contrast media (CM) induce a direct toxic effect on renal tubular cells. This toxic effect may have a role in the pathophysiology of contrast nephropathy.
Romano, Giulia
core   +1 more source

R_Contrast: Rapid measurement of recognition contrast thresholds. [PDF]

, 1997
R_Contrast is a program for the rapid assessment of recognition contrast thresholds on the ...
Strasburger, Hans, Hans Strasburger
core   +1 more source

Assessment of epicardial adipose tissue on virtual non-contrast images derived from photon-counting detector coronary CTA datasets

European Radiology, 2022
Objectives To assess epicardial adipose tissue (EAT) volume and attenuation of different virtual non-contrast (VNC) reconstructions derived from coronary CTA (CCTA) datasets of a photon-counting detector (PCD) CT-system to replace true non-contrast (TNC)
Franka Risch, F. Schwarz, Franziska Braun, Stefanie Bette, Judith Becker, C. Scheurig-Muenkler, T. Kroencke, J. Decker   +7 more
semanticscholar   +1 more source

Peeling Plaids Apart: Context Counteracts Cross-Orientation Contrast Masking [PDF]

, 2009
Background: Contrast discrimination for an image is usually harder if another image is superimposed on top. We asked whether such contrast masking may be enhanced or relieved depending on cues promoting integration of both images as a single pattern ...
Verghese, P., Preeti Verghese, Freeman, E, Verghese, P, Freeman, E. D., Elliot Freeman   +5 more
core   +2 more sources

Non-preferred contrast responses Supporting Functions

, 2021
Supporting Functions (in Matlab) for extracting data and plotting summary statistics from the Paper "Non-preferred contrast responses in the Drosophila motion pathways reveala receptive field structure that explains a common visual illusion" See related
Pablo Reimers (11467862), Michael Reiser (4542505), Eyal Gruntman (8088133), Sandro Romani (8088151)   +3 more
core   +1 more source

Deep learning-driven brain tumor classification and segmentation using non-contrast MRI

Scientific Reports
This study aims to enhance the accuracy and efficiency of MRI-based brain tumor diagnosis by leveraging deep learning (DL) techniques applied to multichannel MRI inputs.
N. Lu, Yung-Hui Huang, Kuo-Ying Liu, Tai-Been Chen   +3 more
semanticscholar   +1 more source

The time course of adaptation to spatial contrast [PDF]

, 1991
We explored the buildup and decay of threshold elevation during and after adaptation to sinewave gratings in a series of experiments investigating the effects of adapting time, adapting contrast, spatial frequency and retinal eccentricity.
Harris, J. P., Georgeson, M. A., Magnussen, S., Greenlee, Mark W.   +3 more
core   +1 more source

Deep learning-assisted diagnosis of liver tumors using non-contrast magnetic resonance imaging: a multicenter study

Frontiers in Oncology
ObjectivesNon-contrast MRI(NC-MRI) is an attractive option for liver tumors screening and follow-up. This study aims to develop and validate a deep convolutional neural network for the classification of liver lesions using non-contrast MRI.MethodsA total
Shihui Zhen, Shihui Zhen, Shihui Zhen, Peng Zhang, Hanxiao Huang, Zhiyu Jiang, Yankai Jiang, Yankai Jiang, Jihong Sun, Liqing Zhang, Mei Ruan, Qingqing Chen, Yujun Wang, Yubo Tao, Weizhi Luo, Ming Cheng, Zhetuo Qi, Wei Lu, Hai Lin, Xiujun Cai   +19 more
doaj   +1 more source

Binocular summation of contrast remains intact in strabismic amblyopia [PDF]

, 2007
PURPOSE. Strabismic amblyopia is typically associated with several visual deficits, including loss of contrast sensitivity in the amblyopic eye and abnormal binocular vision.
Meese, Tim S., Hess, Robert F., Meese, Timothy S., Mansouri, Behzad, Baker, Daniel H.   +4 more
core   +1 more source

DataSheet2_Progression Patterns in Non-Contrast-Enhancing Gliomas Support Brain Tumor Responsiveness to Surgical Lesions.PDF

, 2022
Purpose: The overall benefit of surgical treatments for patients with glioma is undisputed. We have shown preclinically that brain tumor cells form a network that is capable of detecting damage to the tumor, and repair itself.
Philip Vogt (12676853), Nima Etminan (305664), Felix Sahm (126791), Miriam Ratliff (50838), Elena Maier (12676856), Erik Jung (12676859), Steffen Brenner (6789725), Wolfgang Wick (126794), Frank Winkler (6193829), Sebastian Hartzendorf (12676850)   +9 more
core   +1 more source