Results 221 to 230 of about 392,201 (264)

kCSD-python, reliable current source density estimation with quality control. [PDF]

PLoS Comput Biol
Chintaluri C, Bejtka M, Średniawa W, Czerwiński M, Dzik JM, Jędrzejewska-Szmek J, Wójcik DK.   +6 more
europepmc   +1 more source

Sertraline Treatment Can Mimic Niemann‐Pick Type C Biomarker Profile: A Diagnostic Pitfall

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Oxysterols (cholestane‐3β,5α,6β‐triol and 7‐ketocholesterol) and N‐palmitoyl‐O‐phosphocholineserine (PPCS) are sensitive biomarkers for Niemann‐Pick disease type C (NPC) screening. However, false‐positive results occur, with a biomarker profile suggestive of NPC despite the absence of pathogenic variants in genes involved in NPC or ...
Maria Makrygianni, Cecile Pagan, Antony Citterio‐Quentin, Isabelle Rouvet, Giulia Dingeo, Cyril Hanin, Claudine Laurent‐Levinson, Samia Pichard, Bénédicte Héron, Clément Gourguechon, Daniele Mandia, Jerome Guitton, Carole Lacout, Nicolas Schleinitz, Florient Potier, Olivier Flabeau, Elsa Besse‐Pinot, Foudil Lamari, Magali Pettazzoni, Yann Nadjar   +19 more
wiley   +1 more source

Asynchronous calibration of a CT scanner for bone mineral density estimation: sources of error and correction. [PDF]

JBMR Plus
Dudle A, Ith M, Egli R, Heverhagen J, Gugler Y, Wapp C, Frauchiger DA, Lippuner K, Jackowski C, Zysset P.   +9 more
europepmc   +1 more source

Correction of density estimators which are not densities

, 1999
Glad, Ingrid K., Hjort, Nils Lid, Ushakov, Nikolai G.   +2 more
openaire   +2 more sources

An Evaluation of Multi-Channel Sensors and Density Estimation Learning for Detecting Fire Blight Disease in Pear Orchards. [PDF]

Sensors (Basel)
Veres M, Tarry C, Grigg-McGuffin K, McFadden-Smith W, Moussa M.   +4 more
europepmc   +1 more source

Volumetric Breast Density Estimation From Three-Dimensional Reconstructed Digital Breast Tomosynthesis Images Using Deep Learning. [PDF]

JCO Clin Cancer Inform
Ahluwalia VS, Doiphode N, Mankowski WC, Cohen EA, Pati S, Pantalone L, Bakas S, Brooks A, Vachon CM, Conant EF, Gastounioti A, Kontos D.   +11 more
europepmc   +1 more source

Built environment and physical activity in adolescents: Use of the kernel density estimation and the walkability index. [PDF]

PLoS One
Caetano IT, Fermino RC, Falcão RO, Amorim PRDS.   +3 more
europepmc   +1 more source

Erratum: Volumetric Breast Density Estimation From Three-Dimensional Reconstructed Digital Breast Tomosynthesis Images Using Deep Learning. [PDF]

JCO Clin Cancer Inform
europepmc   +1 more source

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Correction of Density Estimators that are not Densities

Scandinavian Journal of Statistics, 2003
Abstract. Several old and new density estimators may have good theoretical performance, but are hampered by not being bona fide densities; they may be negative in certain regions or may not integrate to 1. One can therefore not simulate from them, for example.
Glad, Ingrid K., Hjort, Nils Lid, Ushakov, Nikolai G.   +2 more
openaire   +2 more sources

On parametric density estimation

Biometrika, 1989
Let p(x,\(\vartheta)\) be the density of a random variable x. A random sample \(s_ n=(x_ 1,...,x_ n)\) of size n is available from the distribution. By y a future observation from this distribution is denoted. Two distinct methods of estimating p(y\(| \vartheta)\) are known. The estimative method uses \[ p(y| {\hat \vartheta}_ n)=p(y| \vartheta ={\hat \
El-Sayyad, G. M., Samiuddin, M., Al-Harbey, A. A.   +2 more
openaire   +2 more sources