Results 111 to 120 of about 2,533,249 (165)

No More False Alert: Contrastive Learning for Predicting Health Deterioration from Imbalanced Care Records. [PDF]

Sensors (Basel)
Kaneko H, Inoue S.
europepmc   +1 more source

TIPP-SD: A new method for species detection in microbiomes. [PDF]

PLoS Comput Biol
Shen C, Wedell E, Pop M, Warnow T.
europepmc   +1 more source

A Comprehensive Benchmark Database of Per- and Polyfluoroalkyl Substance Properties from Quantum Mechanical Methods. [PDF]

J Chem Inf Model
Marciesky M, Simpson S, Keith J, Ng C.
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Differentiating malignancy from liver parenchyma in Ex-Vivo OCT images using anomaly detection. [PDF]

Sci Rep
Krispel U, Pamler A, Girmen C, König N, Schmitt R, Eggeling E, Büsker S, Beetz O, Oldhafer F, Truhn D, Vondran FWR, Amygdalos I.   +11 more
europepmc   +1 more source

Peptide-to-Protein Data Aggregation Using Fisher's Method Improves Target Identification in Chemical Proteomics. [PDF]

Anal Chem
Lyu H, Gharibi H, Meng Z, Sokolova B, Lundström S, Zhang X, Zubarev RA.   +6 more
europepmc   +1 more source

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Stabilized conservative level set method

Journal of Computational Physics, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Navid Shervani-Tabar, Oleg V. Vasilyev 0002   +1 more
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The Level Set Method for Systems of PDEs

Communications in Partial Differential Equations, 2007
We propose a level set method for systems of PDEs which is consistent with the previous research pursued by Evans (1996) for the heat equation and by Giga and Sato (2001) for Hamilton–Jacobi equations. Our approach follows a geometric construction related to the notion of barriers introduced by De Giorgi.
BELLETTINI G, CHERMISI H, NOVAGA, MATTEO
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An Image Level Set Method for Denoising

2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2010
In this paper, we propose a new algorithm for image denoising. Our method based on image level set and partial differential equations (PDE) operator. The new method is feasible and easy to implement. Moreover, our method can also retain the key information and some fine structures of image.
Dazhi Zhang, Songsong Li, Boying Wu, Jiebao Sun   +3 more
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Level set methods in image science

Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), 2004
In this article, we discuss the question "what level set methods can do for image science". We examine the presence of these and related methods in image science and introduce some relevant level set techniques that are potentially useful for this class of applications.
Yen-Hsi Tsai, Stanley J. Osher
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