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Automatic Lesion Morphometrics Reliably Predict Sensorimotor Recovery After Spinal Cord Injury: A Longitudinal, Multicenter Neuroimaging Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate automatic magnetic resonance imaging (MRI)‐derived lesion morphometrics against manual measurements and their prognostic value for characterizing distinct acute to chronic neurological recovery trajectories after spinal cord injury (SCI). Methods We studied a retrospective, multicenter cohort of cervical and thoracolumbar
Dario Pfyffer, Jan Valošek, Lynn Farner, Enamundram Naga Karthik, Gergely David, Norbert Weidner, Rainer Abel, Doris Maier, Armin Curt, Margret Hund‐Georgiadis, Mirko Aach, Michael Baumberger, Julien Cohen‐Adad, Patrick Freund, the Nogo Inhibition in Spinal Cord Injury Study Group, Rainer Abel, Kerstin Rehahn, Mirko Aach, Klaus Röhl, Norbert Weidner, Marion Saur, Nikolaus Weiskopf, Doris Maier, Andreas Badke, Margret Hund‐Georgiadis, Michael Baumberger, Armin Curt, Jesus Benito‐Penalva, Jiri Kriz   +28 more
wiley   +1 more source

Whole-genome sequencing-driven source tracing of foodborne diseases: from cgMLST/SNP typing toward an integrated framework of pan-genomics and machine learning. [PDF]

Front Public Health
Song Y, Zhang C, Li JJ, Dai SY, Zhang Q, Yao ZZ, Ouyang YY, Gong CR.   +7 more
europepmc   +1 more source

STRATUM-structured framework for reporting, assessment, and translational utility of metagenomics. [PDF]

J AOAC Int
Russell JA, Keenum I, Jarvis K, Sanderson H, Sussman MD, Khanipov K, Lacirignola J, Xiao A, Phillips JM, Johns M, Ganesan B, Parsons C, Davis B, Sozhamannan S.   +13 more
europepmc   +1 more source

A methodological framework for real-world performance studies of clinical variant classification platforms at early organizational stages. [PDF]

Front Genet
Mitev V.
europepmc   +1 more source

Explainable artificial intelligence in prostate and bladder cancer: A review of imaging, digital pathology, molecular profiling, and clinical data. [PDF]

Curr Urol
Diamantidis D, Tsakaldimis G, Smyrlis N, Chousein C, Kafalis C, Foutzitzi K, Deligeorgiou E, Panagiotopoulos N, Lailisidis S, Georgellis C, Giannopoulos S, Giannakopoulos S, Kalaitzis C.   +12 more
europepmc   +1 more source

Non-<i>albicans Candida</i> and rare yeasts in vulvovaginal candidiasis: pathogen attribution, antifungal resistance, persistence, and species-informed management. [PDF]

Front Microbiol
Yan Z, Cui Y, Li Y, Xiao X, Liao M, Liu X, Zhou W, Kuang L, Jiang Y.   +8 more
europepmc   +1 more source

CRISPR/Cas diagnostics for <i>Klebsiella pneumoniae</i>: from resistance and hypervirulence markers to clinically interpretable risk reporting. [PDF]

Front Bioeng Biotechnol
Yi W, Luo H, Luo F, Li Q, Huang X, Yu Q, Deng G, Liu S.   +7 more
europepmc   +1 more source

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An attribute grammar for QRS detection

Pattern Recognition, 1986
Abstract In automatic electrocardiogram (ECG) processing the detection of the QRS complexes is of fundamental importance. Many algorithms have been developed for this purpose. These algorithms are divided into three categories: (1) non-syntactic (2) syntactic and (3) hybrid.
George K. Papakonstantinou, Emmanuel Skordalakis, F. Gritzali   +2 more
openaire   +2 more sources

Detection and Attribution

2013
We present a first assessment of the detection of a signal of temperature change over the Mediterranean domain, using HadCRUT3v observation dataset and model outputs from the CMIP3 climate simulations. For this study we have used two new formal detection methodologies, the ‘Regularized Optimal Fingerprint’ and the ‘Temporal Optimal Detection ...
Serge Planton, Armineh Barkhordarian, Aurélien Ribes, Hans Von Storch   +3 more
openaire   +1 more source