Results 171 to 180 of about 230,662 (251)

Self-supervised model-informed deep learning for low-SNR SS-OCT domain transformation. [PDF]

Sci Rep
Rakhshani S, Arbab A, Habibi A, Pourazizi M, Tajmirriahi M, Sedighin F, Rabbani H.   +6 more
europepmc   +1 more source

Deep learning image enhancement for confident diagnosis of TMJ osteoarthritis in zero-TE MR imaging. [PDF]

Dentomaxillofac Radiol
Lee C, Lee J, Mandava S, Fung M, Choi YJ, Jeon KJ, Han SS.   +6 more
europepmc   +1 more source

Circadian rhythmicity and reinforcement processing: a dataset of MRI, fMRI, and behavioral measurements. [PDF]

Sci Data
Scislewska P, Zareba MR, Lengier J, Schirmer AE, Bebas P, Szatkowska I.   +5 more
europepmc   +1 more source

A Novel Adaptive Independent Component Analysis Method for Multi-Channel Optically Pumped Magnetometers' Magnetocardiography Signals. [PDF]

Biosensors (Basel)
Liang S, Qi J, He J, Jia Y, Wang A, Zhao T, Wei C, Jiao H, Feng L, Cheng H.   +9 more
europepmc   +1 more source

Enhancing registration accuracy and eminence of multispectral transmission breast images by fusing multi-wavelength gen using vision transformer and LSTM. [PDF]

Sci Rep
Fahad M, Zhang T, Khan SU, Albanyan A, Geng Y, Zhao X, Win NSS, Li G, Lin L, Siddiqui F.   +9 more
europepmc   +1 more source

Deep learning and iterative image reconstruction for head CT: Impact on image quality and radiation dose reduction-Comparative study.

Neuroradiol J
Pula M, Kucharczyk E, Zdanowicz-Ratajczyk A, Dorochowicz M, Guzinski M.   +4 more
europepmc   +1 more source

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The intrinsic signal‐to‐noise ratio in NMR imaging

Magnetic Resonance in Medicine, 1986
AbstractThe fundamental limit for NMR imaging is set by an intrinsic signal‐to‐noise ratio (SNR) for a particular combination of rf antenna and imaging subjects. The intrinsic SNR is the signal from a small volume of material in the sample competing with electrical noise from thermally generated, random noise currents in the sample.
Gary H. Glover, Christopher J. Hardy, Rowland W. Redington, William A. Edelstein   +3 more
openaire   +4 more sources

EFFECTS OF IMAGING ON SIGNAL‐TO‐NOISE RATIO, WITH VARYING SIGNAL CONDITIONS [PDF]

British Journal of Psychology, 1969
Perky's finding, that an observer confuses his internal imagery with a normally supraliminal stimulus, has been reinterpreted in signal detection language. Two experiments compared a task where the subject was asked concurrently to image items and discriminate signals from noise to a task where the subject only discriminated signals.
Sydney Joelson Segal, Vincent Fusella
openaire   +3 more sources

Reducing the dark current of cuprous oxide/Au schottky photodetector for high signal-to-noise ratio imaging

Journal of Physics D: Applied Physics, 2020
Photodetectors (PDs) as image sensors have been widely used in imaging system due to their outstanding photosensitivity. The improvement of imaging quality (signal-to-noise ratio (SNR)) can be realized by reducing the dark current of PDs. Conventionally,
Yujin Liu, Jundong Zhu, D. Xie, Yuxin Gao, Yong Yan, Wan-Chien Li, Zhong Ji, Chuanxi Zhao, W. Mai   +8 more
semanticscholar   +1 more source

Signal-to-noise ratio in correlation plenoptic imaging

Quantum Technologies 2020, 2020
We review the signal-to-noise properties of two setups for Correlation Plenoptic Imaging (CPI), a novel technique that exploits the correlations of light intensity to perform the typical tasks of plenoptic imaging: refocusing out-of- focus parts of the scene, extending the depth of field, reconstruct 3D objects, As opposed to first-order plenoptic ...
Giovanni Scala, Gianlorenzo Massaro, Milena D'Angelo, Augusto Garuccio, Saverio Pascazio, Francesco V. Pepe   +5 more
openaire   +2 more sources