1 citations · 3 across the 5 of their papers we have counts for
7 papers
Diagnostic Quality Assessment of Fundus Photographs: Hierarchical Deep Learning with Clinically Significant Explanations
Shanmukh Reddy Manne, Jose-Alain Sahel, Jay Chhablani +2
Fundus photography (FP) remains the primary imaging modality in screening various retinal diseases including age-related macular degeneration, diabetic retinopathy and glaucoma. FP…
Correlation in Neuronal Calcium Spiking: Quantification based on Empirical Mutual Information Rate
Sathish Ande, Srinivas Avasarala, Ajith Karunarathne +2
Quantification of neuronal correlations in neuron populations helps us to understand neural coding rules. Such quantification could also reveal how neurons encode information in no…
Efficient Screening of Diseased Eyes based on Fundus Autofluorescence Images using Support Vector Machine
Shanmukh Reddy Manne, Kiran Kumar Vupparaboina, Gowtham Chowdary Gudapati +6
A variety of vision ailments are associated with geographic atrophy (GA) in the foveal region of the eye. In current clinical practice, the ophthalmologist manually detects potenti…
Heterogeneity in Neuronal Calcium Spike Trains based on Empirical Distance
Sathish Ande, Jayanth R Regatti, Neha Pandey +3
Statistical similarities between neuronal spike trains could reveal significant information on complex underlying processing. In general, the similarity between synchronous spike t…
Information Content in Neuronal Calcium Spike Trains: Entropy Rate Estimation based on Empirical Probabilities
Sathish Ande, Srinivas Avasarala, Jayanth R Regatti +5
Quantification of information content and its temporal variation in intracellular calcium spike trains in neurons helps one understand functions such as memory, learning, and cogni…
Dictionary-based Monitoring of Premature Ventricular Contractions: An Ultra-Low-Cost Point-of-Care Service
Bollepalli S. Chandra, Challa S. Sastry, Laxminarayana Anumandla +1
While cardiovascular diseases (CVDs) are prevalent across economic strata, the economically disadvantaged population is disproportionately affected due to the high cost of traditio…
Euclidean Auto Calibration of Camera Networks: Baseline Constraint Removes Scale Ambiguity
Kiran Kumar Vupparaboina, Kamala Raghavan, Soumya Jana
Metric auto calibration of a camera network from multiple views has been reported by several authors. Resulting 3D reconstruction recovers shape faithfully, but not scale. However,…