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Ranjeet Ranjan Jha

Showing results (1-10 of 8) with videos related to

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Magnetic Resonance Imaging|January 12, 2022
Single-shell to multi-shell dMRI transformation using spatial and volumetric multilevel hierarchical reconstruction frameworkRanjeet Ranjan Jha, Gaurav Jaswal, Arnav Bhavsar, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
MHATC: Autism Spectrum Disorder Identification Utilizing Multi-Head Attention Encoder Along with Temporal Consolidation ModulesRanjeet Ranjan Jha, Abhishek Bhardwaj, Devin Garg, et al.
Artificial Intelligence in Medicine|October 23, 2024
Enhancing Autism Spectrum Disorder identification in multi-site MRI imaging: A multi-head cross-attention and multi-context approach for addressing variability in un-harmonized dataRanjeet Ranjan Jha, Arvind Muralie, Munish Daroch, et al.
Medical Image Analysis|April 8, 2023
TrGANet: Transforming 3T to 7T dMRI using Trapezoidal Rule and Graph based Attention ModulesRanjeet Ranjan Jha, B V Rathish Kumar, Sudhir K Pathak, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Multi-Shell D-MRI Reconstruction via Residual Learning utilizing Encoder-Decoder Network with Attention (MSR-Net)Ranjeet Ranjan Jha, Aditya Nigam, Arnav Bhavsar, et al.
Computer Methods and Programs in Biomedicine|January 22, 2023
Undersampled single-shell to MSMT fODF reconstruction using CNN-based ODE solverRanjeet Ranjan Jha, B V Rathish Kumar, Sudhir K Pathak, et al.
Magnetic Resonance Imaging|March 28, 2022
VRfRNet: Volumetric ROI fODF reconstruction network for estimation of multi-tissue constrained spherical deconvolution with only single shell dMRIRanjeet Ranjan Jha, Sudhir K Pathak, Vishwesh Nath, et al.
Plant Methods|March 25, 2020
SpikeSegNet-a deep learning approach utilizing encoder-decoder network with hourglass for spike segmentation and counting in wheat plant from visual imagingTanuj Misra, Alka Arora, Sudeep Marwaha, et al.
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Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Magnetic Resonance Imaging|January 12, 2022
Single-shell to multi-shell dMRI transformation using spatial and volumetric multilevel hierarchical reconstruction frameworkRanjeet Ranjan Jha, Gaurav Jaswal, Arnav Bhavsar, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
MHATC: Autism Spectrum Disorder Identification Utilizing Multi-Head Attention Encoder Along with Temporal Consolidation ModulesRanjeet Ranjan Jha, Abhishek Bhardwaj, Devin Garg, et al.
Artificial Intelligence in Medicine|October 23, 2024
Enhancing Autism Spectrum Disorder identification in multi-site MRI imaging: A multi-head cross-attention and multi-context approach for addressing variability in un-harmonized dataRanjeet Ranjan Jha, Arvind Muralie, Munish Daroch, et al.
Medical Image Analysis|April 8, 2023
TrGANet: Transforming 3T to 7T dMRI using Trapezoidal Rule and Graph based Attention ModulesRanjeet Ranjan Jha, B V Rathish Kumar, Sudhir K Pathak, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Multi-Shell D-MRI Reconstruction via Residual Learning utilizing Encoder-Decoder Network with Attention (MSR-Net)Ranjeet Ranjan Jha, Aditya Nigam, Arnav Bhavsar, et al.
Computer Methods and Programs in Biomedicine|January 22, 2023
Undersampled single-shell to MSMT fODF reconstruction using CNN-based ODE solverRanjeet Ranjan Jha, B V Rathish Kumar, Sudhir K Pathak, et al.
Magnetic Resonance Imaging|March 28, 2022
VRfRNet: Volumetric ROI fODF reconstruction network for estimation of multi-tissue constrained spherical deconvolution with only single shell dMRIRanjeet Ranjan Jha, Sudhir K Pathak, Vishwesh Nath, et al.
Plant Methods|March 25, 2020
SpikeSegNet-a deep learning approach utilizing encoder-decoder network with hourglass for spike segmentation and counting in wheat plant from visual imagingTanuj Misra, Alka Arora, Sudeep Marwaha, et al.
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