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Found 9 papers, 0 papers with code
Next-Generation Teleophthalmology: AI-enabled Quality Assessment Aiding Remote Smartphone-based Consultation
Blindness and other eye diseases are a global health concern, particularly in low- and middle-income countries like India.
3-Lead to 12-Lead ECG Reconstruction: A Novel AI-based Spatio-Temporal Method
In contrast, clinicians are generally not trained on the alternative proposal, i. e., the reduced lead (RL) system.
Diagnostic Quality Assessment of Fundus Photographs: Hierarchical Deep Learning with Clinically Significant Explanations
FP allows the clinician to examine the ocular fundus structures such as the macula, the optic disc (OD) and retinal vessels, whose visibility and clarity in an FP image remain central to ensuring diagnostic accuracy, and hence determine the diagnostic quality (DQ).
Correlation in Neuronal Calcium Spiking: Quantification based on Empirical Mutual Information Rate
Such mutual information rate analysis could be used to identify signatures of neuronal behavior in large populations in normal and abnormal conditions.
Efficient Screening of Diseased Eyes based on Fundus Autofluorescence Images using Support Vector Machine
A variety of vision ailments are associated with geographic atrophy (GA) in the foveal region of the eye.
Heterogeneity in Neuronal Calcium Spike Trains based on Empirical Distance
In response, we propose Hellinger distance measure based on empirical probabilities, which we show to be as accurate as existing techniques, yet faster to converge for synthetic as well as experimental spike trains.
Information Content in Neuronal Calcium Spike Trains: Entropy Rate Estimation based on Empirical Probabilities
Significantly, our technique detected structural heterogeneity in the underlying process memory in the responses of the aforementioned neurons.
Dictionary-based Monitoring of Premature Ventricular Contractions: An Ultra-Low-Cost Point-of-Care Service
In particular, with a sensitivity target of at most one undetected PVC in one hundred beats, and a percentage root mean squared difference less than 9% (a clinically acceptable level of fidelity), we achieved about 99. 15% reduction in bandwidth cost, equivalent to 118-fold savings over traditional telecardiology.
Euclidean Auto Calibration of Camera Networks: Baseline Constraint Removes Scale Ambiguity
Metric auto calibration of a camera network from multiple views has been reported by several authors.
