Rudrasis Chakraborty

Jadavpur University — India

Mathematics · Physical Sciences

18h-index1.4kcitations100works0.12yr avg
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Research Topics

Morphological variations and asymmetry(16), Advanced Neuroimaging Techniques and Applications(15), Medical Image Segmentation Techniques(12), Face and Expression Recognition(11), 3D Shape Modeling and Analysis(11)

Publications100 total

Synthesis of eggshell and fish scale supported TiO2 for photocatalytic methanol production by CO2 reduction using water as a proton source in batch reactor under UV irradiation
Brazilian Journal of Chemical Engineering·2026
Sustainable Bio-Ethyl Alcohol Production from Waste Cynodon dactylon using Cellulase-Immobilized ZnO-MoO <sub>3</sub> Bio-Nano-Photocomposite through Photocatalytic and Electromagnetic Synergism
ACS Sustainable Resource Management·2026
Intelligent Control and Optimized Power Management of a Hybrid Microgrid Integrating PV, Wind, and Battery Storage
2025
FoGE: Fock Space inspired encoding for graph prompting
arXiv (Cornell University)·2025Open Access
Fock Space inspired encoding for graph prompting
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)·2024Open Access
Variational Sampling of Temporal Trajectories
arXiv (Cornell University)·2024· 1 citedOpen Access
Statistics on the Stiefel manifold
TIB Data Manager·2024Open Access
Vector-cardiogram dataset
TIB Data Manager·2024Open Access
On the Versatile Uses of Partial Distance Correlation in Deep Learning
arXiv (Cornell University)·2022Open Access
Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)·2022· 1 citedOpen Access
Understanding Uncertainty Maps in Vision with Statistical Testing
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)·2022· 5 citedOpen Access
Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets
arXiv (Cornell University)·2022Open Access
Mixed Effects Neural ODE: A Variational Approximation for Analyzing the Dynamics of Panel Data
arXiv (Cornell University)·2022· 2 citedOpen Access
On the Versatile Uses of Partial Distance Correlation in Deep Learning
Lecture notes in computer science·2022· 20 citedOpen Access
Forward Operator Estimation in Generative Models with Kernel Transfer Operators
PubMed·2021Open Access
Altered structural connectivity detected with dilated convolutional neural network analysis in the DIAN study and the Wisconsin Registry for Alzheimer’s Prevention
Alzheimer s & Dementia·2021Open Access
An Online Riemannian PCA for Stochastic Canonical Correlation Analysis.
PubMed·2021· 2 citedOpen Access
Quantifying Meibomian Gland Morphology Using Artificial Intelligence
Optometry and Vision Science·2021· 49 citedOpen Access
A Variational Approximation for Analyzing the Dynamics of Panel Data.
PubMed·2021· 2 citedOpen Access
An Online Riemannian PCA for Stochastic Canonical Correlation Analysis
arXiv (Cornell University)·2021· 2 citedOpen Access
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Frequent Co-authors

Baba C. Vemuri(20), Vikas Singh(12), Stella X. Yu(11), Monami Banerjee(11), Xingjian Zhen(7), Jiayun Wang(6), David E. Vaillancourt(6), Arijit Ghosal(5), Bibhas Chandra Dhara(5), Sanjoy Kumar Saha(5), Jose Bouza(4), Yifei Xing(4), Derek B. Archer(4), Yunyang Xiong(3), Jonathan H. Manton(3), Chun-Hao Yang(3), Zhanpeng Zeng(2), Mingxing Tan(2), Yubei Chen(2), Nikhil R. Pal(2)