Sudhir K. Pathak
According to our database1,
Sudhir K. Pathak
authored at least 16 papers
between 2008 and 2024.
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Bibliography
2024
Signal Image Video Process., 2024
MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI.
CoRR, 2024
2023
Comput. Methods Programs Biomed., March, 2023
TrGANet: Transforming 3T to 7T dMRI using Trapezoidal Rule and Graph based Attention Modules.
Medical Image Anal., 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
LFANET: Transforming 3T Single-Shell to 7T Multi-Shell DMRI Using Deep Learning Based Leapfrog and Attention.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso- and macro-connectome.
NeuroImage, 2021
Proceedings of the 22nd IEEE International Conference on Mobile Data Management, 2021
Enhancing HARDI Reconstruction from Undersampled Data Via Multi-Context and Feature Inter-Dependency GAN.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
Deep learning estimation of multi-tissue constrained spherical deconvolution with limited single shell DW-MRI.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
HLGSNet: Hierarchical and Lightweight Graph Siamese Network with Triplet Loss for fMRI-based Classification of ADHD.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Multi-Shell D-MRI Reconstruction via Residual Learning utilizing Encoder-Decoder Network with Attention (MSR-Net).
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
3D Convolutional Neural Network Segmentation of White Matter Tract Masks from MR Diffusion Anisotropy Maps.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2010
2009
High Definition Fiber Tracking Exposes Circuit Diagram for Brain Showing Triarchic Representation, Domain General Control, and Metacognitive Subsystems.
Proceedings of the Biologically Inspired Cognitive Architectures, 2009
2008
Reverse Engineering the Brain with a Circuit Diagram Based on a Segmented Connectome and System Dynamics.
Proceedings of the Biologically Inspired Cognitive Architectures, 2008