iBench: A ground truth approach for advanced validation of mass spectrometry identification method
Sign Up to like & getrecommendations! Published in 2022 at "Proteomics"
DOI: 10.1002/pmic.202200271
Abstract: The discovery of many noncanonical peptides detectable with sensitive mass spectrometry inside, outside, and on cells shepherded the development of novel methods for their identification, often not supported by a systematic benchmarking with other methods.… read more here.
Keywords: mass spectrometry; ground truth; spectrometry; identification ... See more keywords
Identifying ground truth in opinion spam: an empirical survey based on review psychology
Sign Up to like & getrecommendations! Published in 2020 at "Applied Intelligence"
DOI: 10.1007/s10489-020-01764-7
Abstract: Because it is very harmful, opinion spam, especially that involving untruthful reviews, has attracted much attention in the last decade. However, the lack of annotations, i.e., the ground truth problem, still serves as the key… read more here.
Keywords: psychology; survey; ground truth; opinion ... See more keywords
An analysis of correctness for API recommendation: are the unmatched results useless?
Sign Up to like & getrecommendations! Published in 2020 at "Science China Information Sciences"
DOI: 10.1007/s11432-019-2929-9
Abstract: API recommendation is a promising approach which is widely used during software development. However, the evaluation of API recommendation is not explored with sufficient rigor. The current evaluation of API recommendation mainly focuses on correctness,… read more here.
Keywords: recommendation; api recommendation; evaluation; correctness ... See more keywords
Generation of annotated multimodal ground truth datasets for abdominal medical image registration
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Computer Assisted Radiology and Surgery"
DOI: 10.1007/s11548-021-02372-7
Abstract: Sparsity of annotated data is a major limitation in medical image processing tasks such as registration. Registered multimodal image data are essential for the diagnosis of medical conditions and the success of interventional medical procedures.… read more here.
Keywords: ground truth; medical image; image; registration ... See more keywords
SHYBRID: A Graphical Tool for Generating Hybrid Ground-Truth Spiking Data for Evaluating Spike Sorting Performance
Sign Up to like & getrecommendations! Published in 2020 at "Neuroinformatics"
DOI: 10.1007/s12021-020-09474-8
Abstract: Spike sorting is the process of retrieving the spike times of individual neurons that are present in an extracellular neural recording. Over the last decades, many spike sorting algorithms have been published. In an effort… read more here.
Keywords: hybrid ground; graphical tool; ground truth; spike sorting ... See more keywords
Identifying network structure similarity using spectral graph theory
Sign Up to like & getrecommendations! Published in 2018 at "Applied Network Science"
DOI: 10.1007/s41109-017-0042-3
Abstract: Most real networks are too large or they are not available for real time analysis. Therefore, in practice, decisions are made based on partial information about the ground truth network. It is of great interest… read more here.
Keywords: network structure; network; theory; similarity ... See more keywords
Auto-segmentations by convolutional neural network in cervical and anorectal cancer with clinical structure sets as the ground truth
Sign Up to like & getrecommendations! Published in 2020 at "Clinical and Translational Radiation Oncology"
DOI: 10.1016/j.ctro.2020.09.004
Abstract: Highlights • The network provided auto-segmentations with high overlap with ground truth volumes.• Evaluation of femoral heads/bladder auto-segmentations showed highest overlap.• Annotated structure sets from daily clinical practice is feasible as ground truth. read more here.
Keywords: ground truth; structure sets; network; auto segmentations ... See more keywords
Segmentation evaluation with sparse ground truth data: Simulating true segmentations as perfect/imperfect as those generated by humans
Sign Up to like & getrecommendations! Published in 2021 at "Medical image analysis"
DOI: 10.1016/j.media.2021.101980
Abstract: Fully annotated data sets play important roles in medical image segmentation and evaluation. Expense and imprecision are the two main issues in generating ground truth (GT) segmentations. In this paper, in an attempt to overcome… read more here.
Keywords: ground truth; segmentation evaluation; evaluation; workload ... See more keywords
Deep learning reveals untapped information for local white-matter fiber reconstruction in diffusion-weighted MRI.
Sign Up to like & getrecommendations! Published in 2019 at "Magnetic resonance imaging"
DOI: 10.1016/j.mri.2019.07.012
Abstract: PURPOSE Diffusion-weighted magnetic resonance imaging (DW-MRI) is of critical importance for characterizing in-vivo white matter. Models relating microarchitecture to observed DW-MRI signals as a function of diffusion sensitization are the lens through which DW-MRI data… read more here.
Keywords: diffusion; histology; deep learning; diffusion weighted ... See more keywords
Empirical validation of directed functional connectivity
Sign Up to like & getrecommendations! Published in 2017 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2016.11.037
Abstract: Abstract Mapping directions of influence in the human brain connectome represents the next phase in understanding its functional architecture. However, a host of methodological uncertainties have impeded the application of directed connectivity methods, which have… read more here.
Keywords: connectivity; directed functional; empirical validation; ground truth ... See more keywords
High throughput and quantitative enzymology in the genomic era.
Sign Up to like & getrecommendations! Published in 2021 at "Current opinion in structural biology"
DOI: 10.1016/j.sbi.2021.07.010
Abstract: Accurate predictions from models based on physical principles are the ultimate metric of our biophysical understanding. Although there has been stunning progress toward structure prediction, quantitative prediction of enzyme function has remained challenging. Realizing this goal… read more here.
Keywords: quantitative enzymology; enzymology genomic; ground truth; enzymology ... See more keywords