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Aditya Nigam

Showing results (1-10 of 18) with videos related to

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The Visual Computer|April 28, 2021
A comprehensive survey and deep learning-based approach for human recognition using ear biometricAman Kamboj, Rajneesh Rani, Aditya Nigam
Education and Information Technologies|June 28, 2021
A Systematic Review on AI-based Proctoring Systems: Past, Present and FutureAditya Nigam, Rhitvik Pasricha, Tarishi Singh, et al.
The Journal of the Acoustical Society of America|August 3, 2019
Deep metric learning for bioacoustic classification: Overcoming training data scarcity using dynamic triplet lossAnshul Thakur, Daksh Thapar, Padmanabhan Rajan, et al.
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 & Biological Engineering & Computing|January 4, 2020
Localization of common carotid artery transverse section in B-mode ultrasound images using faster RCNN: a deep learning approachPankaj K Jain, Saurabh Gupta, Arnav Bhavsar, et al.
Journal of Materials Chemistry. B|May 29, 2024
A small-molecule probe to decipher stress-induced ER microenvironments and ER-Golgi communicationTanoy Dutta, Barsha Chakraborty, Aditya Nigam, 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.
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.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
The Visual Computer|April 28, 2021
A comprehensive survey and deep learning-based approach for human recognition using ear biometricAman Kamboj, Rajneesh Rani, Aditya Nigam
Education and Information Technologies|June 28, 2021
A Systematic Review on AI-based Proctoring Systems: Past, Present and FutureAditya Nigam, Rhitvik Pasricha, Tarishi Singh, et al.
The Journal of the Acoustical Society of America|August 3, 2019
Deep metric learning for bioacoustic classification: Overcoming training data scarcity using dynamic triplet lossAnshul Thakur, Daksh Thapar, Padmanabhan Rajan, et al.
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 & Biological Engineering & Computing|January 4, 2020
Localization of common carotid artery transverse section in B-mode ultrasound images using faster RCNN: a deep learning approachPankaj K Jain, Saurabh Gupta, Arnav Bhavsar, et al.
Journal of Materials Chemistry. B|May 29, 2024
A small-molecule probe to decipher stress-induced ER microenvironments and ER-Golgi communicationTanoy Dutta, Barsha Chakraborty, Aditya Nigam, 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.
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.
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