Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Batabyal, Tamal"'
Many neuroscientific applications require robust and accurate localization of neurons. It is still an unsolved problem because of the enormous variation in intensity, texture, spatial overlap, morphology and background artifacts. In addition, curatio
Externí odkaz:
http://arxiv.org/abs/2103.10462
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 and Nutritional Examination Survey (NHANES) with the goal of predicting
Externí odkaz:
http://arxiv.org/abs/1909.00489
Autor:
Sadeghzadehyazdi, Nasrin, Batabyal, Tamal, Dhar, Nibir K., Familoni, B. O., Iftekharuddin, K. M., Acton, Scott T.
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 found that the data involving skeletal representation are amenable for re
Externí odkaz:
http://arxiv.org/abs/1905.07058
Autor:
Sadeghzadehyazdi, Nasrin, Batabyal, Tamal, Glandon, A., Dhar, Nibir K., Familoni, B. O., Iftekharuddin, K. M., Acton, Scott T.
Gait recognition is a leading remote-based identification method, suitable for real-world surveillance and medical applications. Model-based gait recognition methods have been particularly recognized due to their scale and view-invariant properties.
Externí odkaz:
http://arxiv.org/abs/1905.00943
Autor:
Ly, Tiffany T., Batabyal, Tamal, Thompson, Jeremy, Harris, Tajie, Weller, Daniel S., Acton, Scott T.
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 glia skeleton reconstruction techniques fail to capture an accurate t
Externí odkaz:
http://arxiv.org/abs/1903.12210
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 of data, neuronal morphology needs to be encoded in a graph-theoretic
Externí odkaz:
http://arxiv.org/abs/1903.02147
Autor:
Wang, Jie, Batabyal, Tamal, Zhang, Mingxing, Zhang, Ji, Aziz, Arslan, Gahlmann, Andreas, Acton, Scott T.
Bacterial biofilm segmentation poses significant challenges due to lack of apparent structure, poor imaging resolution, limited contrast between conterminous cells and high density of cells that overlap. Although there exist bacterial segmentation al
Externí odkaz:
http://arxiv.org/abs/1902.00166
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 a power normalization stage as preprocessing steps. Because convention
Externí odkaz:
http://arxiv.org/abs/1812.04570
Autor:
Batabyal, Tamal, Acton, Scott T.
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 neuronal cells. Existing methodologies carry out structural and geometr
Externí odkaz:
http://arxiv.org/abs/1802.06913
Publikováno v:
In Expert Systems With Applications July 2021
