2 citations · 2 across the 8 of their papers we have counts for
6 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…
LCuts: Linear Clustering of Bacteria using Recursive Graph Cuts
Jie Wang, Tamal Batabyal, Mingxing Zhang +4
Bacterial biofilm segmentation poses significant challenges due to lack of apparent structure, poor imaging resolution, limited contrast between conterminous cells and high density…