3 citations · 10 across the 17 of their papers we have counts for
7 papers · 1 filter
An Efficient Convolutional Neural Network for Coronary Heart Disease Prediction
Aniruddha Dutta, Tamal Batabyal, Meheli Basu +1
This study proposes an efficient neural network with convolutional layers to classify significantly class-imbalanced clinical data. The data are curated from the National Health an…
GlidarCo: gait recognition by 3D skeleton estimation and biometric feature correction of flash lidar data
Nasrin Sadeghzadehyazdi, Tamal Batabyal, Nibir K. Dhar +3
Gait recognition using noninvasively acquired data has been attracting an increasing interest in the last decade. Among various modalities of data sources, it is experimentally fou…
Glidar3DJ: A View-Invariant gait identification via flash lidar data correction
Nasrin Sadeghzadehyazdi, Tamal Batabyal, A. Glandon +4
Gait recognition is a leading remote-based identification method, suitable for real-world surveillance and medical applications. Model-based gait recognition methods have been part…
Hieroglyph: Hierarchical Glia Graph Skeletonization and Matching
Tiffany T. Ly, Tamal Batabyal, Jeremy Thompson +3
Automatic 3D reconstruction of glia morphology is a powerful tool necessary for investigating the role of microglia in neurological disorders in the central nervous system. Current…
NeuroPath2Path: Classification and elastic morphing between neuronal arbors using path-wise similarity
Tamal Batabyal, Barry Condron, Scott T. Acton
The shape and connectivity of a neuron determine its function. Modern imaging methods have proven successful at extracting such information. However, in order to analyze this type…
Segmentation of Cortical Spreading Depression Wavefronts Through Local Similarity Metric
M. Filip Sluzewski, Petr Tvrdik, Scott T. Acton
In this paper, we present a novel region-based segmentation method for cortical spreading depressions in 2-photon microscopy images. Fluorescent microscopy has become an important…