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Št. zadetkov: 28
Kidney segmentation in renal magnetic resonance imaging - current status and prospects
Alena-Kathrin Golla, Amira Šerifović-Trbalić, A. Lundervold, Andrzej Materka, Peter Rogelj, Frank G. Zöllner, Marek Kociński, Laura L. Hansen
Pregledni znanstveni članek
Oznake: renal MRI;image segmentation;deep learning;
Leto: 2021 Vir: Repozitorij Univerze na Primorskem (RUP)
Student Sessions 1/28 : Study of the probability to misidentify a pion as an electron
Jens Hansen
Video in druga učna gradiva
Oznake: physics
Leto: 2010 Vir: videolectures.net
Breaking the coherence barrier - A new theory for compressed sensing
Anders Hansen
Video in druga učna gradiva
Oznake: computer science;digital signal processing;machine learning;computational learning theory;deep learning;information theory;mathematics;statistics
This paper provides an extension of compressed sensing which bridges a substantial gap between existing theory and its current use in real-world applications. It introduces a mathematical framework that generalizes the three standard pillars of compressed sensing - namely, sparsity, incoherence and ...
Leto: 2014 Vir: videolectures.net
Modeling fMRI Dynamics
Lars Kai Hansen
Video in druga učna gradiva
Oznake: medicine;neuroscience
Functional MRI modeling is challenged by long-range coupling, non-linearity, and lack of detailed physiological information. I will review our progress in modeling the spatio-temporal dynamics of fMRI including hemodynamic deconvolution, blind deconvolution, and brain state decoding based on spatio- ...
Leto: 2009 Vir: videolectures.net
Resampling Based Methods for Design and Evaluation of Neurotechnology
Lars-Kai Hansen
Video in druga učna gradiva
Oznake: technology;neurotechnology;medicine;neuroscience
Brain imaging by PET, MR, EEG, and MEG has become a cornerstone in systems level neuroscience. Statistical analyses of neuroimage datasets face many interesting challenges including non-linearity and multi-scale spatial and temporal dynamics. The objectives of neuroimaging are dual, we are intereste ...
Leto: 2012 Vir: videolectures.net
Optimality of Bayesian Transduction - Implications for Input Non-stationarity
Lars Kai Hansen
Video in druga učna gradiva
Oznake: computer science;machine learning;bayesian learning
Leto: 2006 Vir: videolectures.net
Characterizing Geographic Variation in Well-Being Using Tweets
Hansen Andrew Schwartz
Video in druga učna gradiva
Oznake: computer science;social media;internet, world wide web;machine learning
The language used in tweets from 1,300 different US counties was found to be predictive of the subjective well-being of people living in those counties as measured by representative surveys. Topics, sets of co-occurring words derived from the tweets using LDA, improved accuracy in predicting life sa ...
Leto: 2013 Vir: videolectures.net
Huda gniloba čebelje zalege: razširjenost, pojavljanje in biotehnično obravnavanje
Henrik Hansen, Jože Šnajder
Izvirni znanstveni članek
Oznake: čebelarstvo;bolezni čebel;
Leto: 1992 Vir: dLib.si Digitalna knjižnica Slovenije
Lean at Odense University Hospital
Gitte Dahl Hansen , Claus Thor
Video in druga učna gradiva
Oznake: medicine;informatics
Leto: 2010 Vir: videolectures.net
Using well-understood single-objective functions in multiobjective black-box optimization test suites
Dimo Brockhoff, Anne Auger, Nikolaus Hansen, Tea Tušar
Izvirni znanstveni članek
Oznake:
Using well-understood single-objective functions in multiobjective black-box optimization test suites
Leto: 2021 Vir: Institut Jožef Stefan (IJS)
Št. zadetkov: 28
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