Search Results - statistical quantification methods of comparison of algorithms

Deeply uncertain: comparing methods of uncertainty quantification in deep learning algorithms by Caldeira, João, Nord, Brian

“…We present a comparison of methods for uncertainty quantification (UQ) in deep learning algorithms in the context of a simple physical system…”
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Wave reflection quantification based on pressure waveforms alone—Methods, comparison, and clinical covariates by Hametner, Bernhard, Wassertheurer, Siegfried, Kropf, Johannes, Mayer, Christopher, Holzinger, Andreas, Eber, Bernd, Weber, Thomas

“…Within the last decade the quantification of pulse wave reflections mainly focused on measures of central aortic systolic pressure and its augmentation through reflections based on pulse wave analysis (PWA…”
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Comparison of fatty liver index with noninvasive methods for steatosis detection and quantification by Zelber-Sagi, Shira, Webb, Muriel, Assy, Nimer, Blendis, Laurie, Yeshua, Hanny, Leshno, Moshe, Ratziu, Vlad, Halpern, Zamir, Oren, Ran, Santo, Erwin

“…To compare noninvasive methods presently used for steatosis detection and quantification in nonalcoholic fatty liver disease (NAFLD…”
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Simultaneous Quantification of Metronidazole and Spiramycin by Ultraviolet-Visible Method: Comparison of Wavelength Selection Techniques by Luu, Nguyen Duy, Duy, Nguyen Hung Nhat, Quoc, Pham Phu, Khang, Nguyen The, Huyen, Le Thanh, Luyen, Nguyen Dinh, Binh, Tran Thuc

“… . Developing a method for simultaneous quantification of metronidazole ( MTZ ) and spiramycin ( SPI ) that is rapid, accurate, reliable, and cost-effective is imperative…”
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Comparative study of machine learning and statistical methods for automatic identification and quantification in γ-ray spectrometry by Phan, Dinh Triem, Bobin, Jérôme, Thiam, Cheick, Bobin, Christophe

“…During the last decade, a large number of different numerical methods have been proposed to tackle the automatic identification and quantification in γ-ray spectrometry…”
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Cerebral OEF quantification: A comparison study between quantitative susceptibility mapping and dual‐gas calibrated BOLD imaging by Ma, Yuhan, Sun, Hongfu, Cho, Junghun, Mazerolle, Erin L., Wang, Yi, Pike, G. Bruce

“…‐gas calibrated BOLD imaging (DGC‐BOLD) in healthy subjects. Methods Ten healthy subjects were scanned using a 3T MR system…”
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Comparison of uncertainty quantification process using statistical and data mining algorithms by Chai, W., Saidi, A., Zine, A., Droz, C., You, W., Ichchou, M.

“… This paper proposes a visual comparison of these two uncertainty quantification methods, using datasets retrieved from vibroacoustic models…”
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Elucidating the relationships between two automated handwriting feature quantification systems for multiple pairwise comparisons by Fuglsby, Cami, Saunders, Christopher, Ommen, Danica M., Buscaglia, JoAnn, Caligiuri, Michael P.

“…Recent advances in complex automated handwriting identification systems have led to a lack of understandability of these systems’ computational processes and…”
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4D flow MRI velocity uncertainty quantification by Rothenberger, Sean M., Zhang, Jiacheng, Markl, Michael, Craig, Bruce A., Vlachos, Pavlos P., Rayz, Vitaliy L.

“…Purpose An automatic method is presented for estimating 4D flow MRI velocity measurement uncertainty in each voxel…”
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Motility Mapping Quantification Using the Classical Optical Flow Algorithm for Small Bowel Crohn’s Disease: Comparison with Balloon-assisted Enteroscopy Findings by Watanabe, Ryosuke, Tsuchiya, Junichi, Kimura, Koichiro, Fujii, Toshimitsu, Watanabe, Mamoru, Kitazume, Yoshio, Nagahori, Masakazu, Ohtsuka, Kazuo, Takenaka, Kento, Tateishi, Ukihide, Ozawa, Yasuo

“…) and BAE between March and May 2017. We developed computer software to present motion vector magnitudes between consecutive cine MR images as bowel motility maps via a classical optical flow algorithm using the Horn-Schunck method…”
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Uncertainty quantification for regularized inversion of electromagnetic geophysical data—Part I: motivation and theory by Blatter, Daniel, Morzfeld, Matthias, Key, Kerry, Constable, Steven

“…SUMMARY We present a method for computing a meaningful uncertainty quantification (UQ…”
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Evaluating the Impact of Intracranial Volume Correction Approaches on the Quantification of Intracranial Structures in MRI: A Systematic Analysis by Hu, Minqi, Lou, Yunxia, Zhu, Caiting, Chen, Jiachen, Liu, Shizhou, Liang, Yongfeng, Liu, Shuwei, Tang, Yuchun

“… However, there is currently no standardized method for the correction of intracranial structure measurements…”
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Bayesian deep convolutional encoder–decoder networks for surrogate modeling and uncertainty quantification by Zhu, Yinhao, Zabaras, Nicholas

“… A recently introduced variational gradient descent algorithm based on Stein's method is scaled to deep convolutional networks to perform approximate Bayesian inference on millions of uncertain network parameters…”
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A comparison of two Bayesian approaches for uncertainty quantification by Mara, Thierry A., Delay, Frederick, Lehmann, François, Younes, Anis

“…Statistical calibration of model parameters conditioned on observations is performed in a Bayesian framework by evaluating the joint posterior probability density function (pdf) of the parameters…”
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A Bayesian framework for performance assessment and comparison of imaging biomarker quantification methods by Smith, Brian J, Beichel, Reinhard R

“… of interest in images, and the algorithms that calculate biomarkers from regions. Moreover, these sources may differ within and between the quantification methods employed…”
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Rapid T 1 quantification from high resolution 3D data with model‐based reconstruction by Maier, Oliver, Schoormans, Jasper, Schloegl, Matthias, Strijkers, Gustav J., Lesch, Andreas, Benkert, Thomas, Block, Tobias, Coolen, Bram F., Bredies, Kristian, Stollberger, Rudolf

“…Magnetic resonance imaging protocols for the assessment of quantitative information suffer from long acquisition times since multiple measurements in a…”
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Comparison of signal-to-noise, blank determination, and linear regression methods for the estimation of detection and quantification limits for volatile organic compounds by gas chromatography by Sanagi, M Marsin, Ling, Susie L, Nasir, Zalilah, Hermawan, Dadan, Ibrahim, Wan Aini Wan, Abu Naim, Ahmedy

“…LOD and LOQ are two important performance characteristics in method validation. This work compares three methods based on the International Conference…”
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Uncertainty quantification for deep neural networks: An empirical comparison and usage guidelines by Weiss, Michael, Tonella, Paolo

“… properties of learning algorithms, which can provide only statistical warranties. Hence, developers have to cope with some residual error probability…”
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A comprehensive comparison of RNA-Seq-based transcriptome analysis from reads to differential gene expression and cross-comparison with microarrays: a case study in Saccharomyces cerevisiae by Nookaew, Intawat, Papini, Marta, Pornputtapong, Natapol, Scalcinati, Gionata, Fagerberg, Linn, Uhlén, Matthias, Nielsen, Jens

“…RNA-seq, has recently become an attractive method of choice in the studies of transcriptomes, promising several advantages compared with microarray…”
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Uncertainty quantification of pollutant source retrieval: comparison of Bayesian methods with application to the Chernobyl and Fukushima Daiichi accidental releases of radionuclides by Liu, Y., Haussaire, J.‐M., Bocquet, M., Roustan, Y., Saunier, O., Mathieu, A.

“…Inverse modelling of the emissions of atmospheric species and pollutants has significantly progressed over the past 15 years. However, in spite of seemingly…”
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