activity
20182021
most citedGlidarCo: gait recognition by 3D skeleton estimation and biometric feature correction of flash lidar data

2 citations · 2 across the 8 of their papers we have counts for

collaborators

9 papers

q-bio.QM2021

Cellcounter: a deep learning framework for high-fidelity spatial localization of neurons

Tamal Batabyal, Aijaz Ahmad Naik, Daniel Weller +1

Many neuroscientific applications require robust and accurate localization of neurons. It is still an unsolved problem because of the enormous variation in intensity, texture, spat…

q-bio.QM2019

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…

eess.IV2019★ 2 cited

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…

eess.IV2019

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…

eess.IV2019

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…

q-bio.NC2019

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…

eess.IV2019

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…

eess.SP2018

PrecoG: an efficient unitary split preconditioner for the transform-domain LMS filter via graph Laplacian regularization

Tamal Batabyal, Daniel S. Weller, Jaideep Kapur +1

Transform-domain least mean squares (LMS) adaptive filters encompass the class of algorithms where the input data are subjected to a data-independent unitary transform followed by…

eess.IV2018

ElasticPath2Path: Automated morphological classification of neurons by elastic path matching

Tamal Batabyal, Scott T. Acton

In the study of neurons, morphology influences function. The complexity in the structure of neurons poses a challenge in the identification and analysis of similar and dissimilar n…