Results 311 to 320 of about 1,930,444 (347)

Comparison of scatter and partial volume correction techniques for quantitative SPECT imaging of ²²⁵Ac. [PDF]

EJNMMI Phys
Liubchenko G, Böning G, Rumiantcev M, Zounek AJ, Zacherl MJ, Sheikh G, Resch S, Werner RA, Ziegler SI, Delker A.   +9 more
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Automatic differentiation of Parkinson's disease motor subtypes based on deep learning and radiomics. [PDF]

Front Neurol
Hui D, Wang X, Xie L, Chen F, Guo Y, Luo Y, He X.   +6 more
europepmc   +1 more source

Enhancing wellbore stability through machine learning for sustainable hydrocarbon exploitation. [PDF]

Sci Rep
Mahetaji M, Brahma J.
europepmc   +1 more source

Interaction of Laguerre-Gaussian laser pulses with borane targets of different hydrogen-boron ratio. [PDF]

Sci Rep
Reichwein L, Pukhov A, Büscher M.
europepmc   +1 more source

Assessment of an unsupervised denoising approach based on Noise2Void in digital mammography. [PDF]

Sci Rep
Angelone F, Franco A, Ponsiglione AM, Ricciardi C, Belfiore MP, Gatta G, Grassi R, Sansone M, Amato F.   +8 more
europepmc   +1 more source

Nonlinear kernel-based fMRI activation detection. [PDF]

Front Neuroimaging
Han C, Yang Z, Zhuang X, Cordes D.
europepmc   +1 more source

Generalization of Optimal Control Saturation Pulse Design for Robust and High CEST Contrast

Stilianu C, Huemer M, Zaiss M, Stollberger R.   +3 more
europepmc   +1 more source

On the Gaussian sum of Gaussian variates, the non-Gaussian sum of Gaussian variates, and the Gaussian sum of non-Gaussian variates [PDF]

Proceedings of the IEEE, 1967
The random variable generated by adding two Gaussian variables may or may not have a Gaussian distribution. Also, the random variable generated by adding two non-Gaussian variables may or may not have a non-Gaussian distribution. Of several examples given, one illustrates how the sum may be Gaussian while the individual variables are not.
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From almost Gaussian to Gaussian

AIP Conference Proceedings, 2015
We consider lower and upper bounds on the difference of differential entropies of a Gaussian random vector and an approximately Gaussian random vector after they are “smoothed” by an arbitrarily distributed random vector of finite power. These bounds are important to establish the optimality of the corner points in the capacity region of Gaussian ...
Max Costa, Olivier Rioul
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Gaussian Optics and Gaussian Brackets*†

Journal of the Optical Society of America, 1943
Not ...
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