User profiles for Shivesh Chaudhary
 | Shivesh ChaudharyGeorgia Institute of Technology Verified email at gatech.edu Cited by 94 |
[HTML][HTML] Fast, efficient, and accurate neuro-imaging denoising via supervised deep learning
Volumetric functional imaging is widely used for recording neuron activities in vivo, but there
exist tradeoffs between the quality of the extracted calcium traces, imaging speed, and laser …
exist tradeoffs between the quality of the extracted calcium traces, imaging speed, and laser …
Graphical-model framework for automated annotation of cell identities in dense cellular images
Although identifying cell names in dense image stacks is critical in analyzing functional
whole-brain data enabling comparison across experiments, unbiased identification is very difficult…
whole-brain data enabling comparison across experiments, unbiased identification is very difficult…
Two dimensional modelling of water uptake in proton exchange membrane fuel cell
With the focus on water uptake by proton exchange membrane, a two-phase, non isothermal,
transient and two-dimensional model of fuel cell is developed. Further, in order to obtain …
transient and two-dimensional model of fuel cell is developed. Further, in order to obtain …
Fast, versatile and quantitative annotation of complex images
K Bates, S Jiang, S Chaudhary, E Jackson-Holmes… - …, 2019 - Future Science
We report a generic smartphone app for quantitative annotation of complex images. The app
is simple enough to be used by children, and annotation tasks are distributed across app …
is simple enough to be used by children, and annotation tasks are distributed across app …
[HTML][HTML] Automated cell annotation in multi-cell images using an improved CRF_ID algorithm
Cell identification is an important yet difficult process in data analysis of biological images.
Previously, we developed an automated cell identification method called CRF_ID and …
Previously, we developed an automated cell identification method called CRF_ID and …
Fast, Efficient, and Accurate Neuro-Imaging Denoising via Deep Learning
Volumetric functional imaging is widely used for recording neuron activities in vivo, but there
exist tradeoffs between the quality of the extracted calcium traces, imaging speed, and laser …
exist tradeoffs between the quality of the extracted calcium traces, imaging speed, and laser …
[PDF][PDF] Point-set registration framework with Conditional Random Fields for automatic tracking of neurons in C. elegans whole-brain videos Point-set registration …
S Chaudhary, H Lu - Work Worm Neural Inf Process 31st Conf …, 2018 - researchgate.net
Advanced microscopic techniques combined with microfluidics allow fast collection of whole
brain functional recordings in C. elegans. However generating important neuroscience …
brain functional recordings in C. elegans. However generating important neuroscience …
[CITATION][C] Deep Learning Tools for Dense Fluorescent Microscopic Images and C. Elegans Whole-Brain Imaging
S Chaudhary, H Lu - 2021 AIChE Annual Meeting, 2021 - aiche.confex.com
[PDF][PDF] Water flooding in the proton exchange membrane fuel cell
PK Bhattacharya - Directions, 2015 - sciencetheearth.com
… Author is thankful to Shivesh Chaudhary (dual degree graduate in chemical engineering
from IIT-Kanpur in 2013) for his efforts in developing the model. Efforts of Juhi Chandra (a …
from IIT-Kanpur in 2013) for his efforts in developing the model. Efforts of Juhi Chandra (a …
Time-resolved single-cell assay for measuring intracellular reactive oxygen species upon exposure to ambient particulate matter
Health risks associated with exposure to ambient particulate matter (PM) are a major concern
around the world. Adverse PM health effects have been proposed to be linked to oxidative …
around the world. Adverse PM health effects have been proposed to be linked to oxidative …