Improved Liver R2* Mapping by Averaging Decay Curves

Bilipschitz Homogeneous Curves in R2 Are Quasicircles

Improved R2* liver iron concentration assessment using a novel fuzzy c-mean clustering scheme

BACKGROUND In thalassemia patients, R2* liver iron concentration (LIC) measurement is a common clinical tool for assessing iron overload and for determining necessary chelator dose and evaluating its efficacy. Despite the importance of accurate LIC measurement, existing methods suffer from LIC variability, especially at the severe iron overload range due to inclusion of vessel parts in LIC calc...

Averaging learning curves across and within participants.

We examine recent concerns that averaged learning curves can present a distorted picture of individual learning. Analyses of practice curve data from a range of paradigms demonstrate that such concerns are well founded for fits of power and exponential functions when the arithmetic average is computed over participants. We also demonstrate that geometric averaging over participants does not, in...

Mapping in structured populations by resample model averaging.

Highly recombinant populations derived from inbred lines, such as advanced intercross lines and heterogeneous stocks, can be used to map loci far more accurately than is possible with standard intercrosses. However, the varying degrees of relatedness that exist between individuals complicate analysis, potentially leading to many false positive signals. We describe a method to deal with these pr...

Improved DADS Performance with Noise Reduction by Averaging

In this paper, a method is proposed to improve the noise performance of the delay and add direct sequence (DADS) modulation scheme by modifying the structure of the reference signal and the demodulation algorithm. It is shown that noise reduction by averaging can enhance the bit error rate (BER) performance of DADS considerably. As the number of noisy chips exploited at the receiver increases, ...