Sriprabha Ramanarayanan

According to our database, Sriprabha Ramanarayanan authored at least 15 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

OCUCFormer: An Over-Complete Under-Complete Transformer Network for accelerated MRI reconstruction.

Mohammad Al Fahim, Sriprabha Ramanarayanan, Rahul G. S., NagaGayathri Matcha, Arunima Sarkar, Keerthi Ram, Mohanasankar Sivaprakasam

Image Vis. Comput., 2024

DCE-former: A Transformer-Based Model with Mutual Information and Frequency-Based Loss Functions for Early and Late Response Prediction in Prostate DCE-MRI.

Sadhana S, Sriprabha Ramanarayanan, Arunima Sarkar, Keerthi Ram, NagaGayathri Matcha, Suresh Joel, Harsh Agarwal, Ramesh Venkatesan, Mohanasankar Sivaprakasam

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

DCE-diff: Diffusion Model for Synthesis of Early and Late Dynamic Contrast-Enhanced MR Images from Non-Contrast Multimodal Inputs.

Kishore Kumar M, Sriprabha Ramanarayanan, Sadhana S, Arunima Sarkar, Matcha Naga Gayathri, Keerthi Ram, Mohanasankar Sivaprakasam

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

MCI-HyperNet: A multiple contextual information-based adaptive weight learning network for controllable image reconstruction.

Sriprabha Ramanarayanan, Balamurali Murugesan, Arun Palla, Keerthi Ram, Ramesh Venkatesan, Mohanasankar Sivaprakasam

Neurocomputing, October, 2023

Generalizing supervised deep learning MRI reconstruction to multiple and unseen contrasts using meta-learning hypernetworks.

Sriprabha Ramanarayanan, Arun Palla, Keerthi Ram, Mohanasankar Sivaprakasam

Appl. Soft Comput., October, 2023

SFT-KD-Recon: Learning a Student-friendly Teacher for Knowledge Distillation in Magnetic Resonance Image Reconstruction.

NagaGayathri Matcha, Sriprabha Ramanarayanan, Mohammad Al Fahim, Rahul G. S., Keerthi Ram, Mohanasankar Sivaprakasam

Proceedings of the Medical Imaging with Deep Learning, 2023

SDLFormer: A Sparse and Dense Locality-Enhanced Transformer for Accelerated MR Image Reconstruction.

Rahul G. S., Sriprabha Ramanarayanan, Mohammad Al Fahim, Keerthi Ram, Preejith S. P, Mohanasankar Sivaprakasam

Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023

HyperCoil-Recon: A Hypernetwork-based Adaptive Coil Configuration Task Switching Network for MRI Reconstruction.

Sriprabha Ramanarayanan, Mohammad Al Fahim, Rahul G. S., Amrit Kumar Jethi, Keerthi Ram, Mohanasankar Sivaprakasam

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Generalizable Deep Learning Method for Suppressing Unseen and Multiple MRI Artifacts Using Meta-learning.

Arun Palla, Sriprabha Ramanarayanan, Keerthi Ram, Mohanasankar Sivaprakasam

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2021

A deep cascade of ensemble of dual domain networks with gradient-based T1 assistance and perceptual refinement for fast MRI reconstruction.

Balamurali Murugesan, Sriprabha Ramanarayanan, Sricharan Vijayarangan, Keerthi Ram, Naranamangalam R. Jagannathan, Mohanasankar Sivaprakasam

Comput. Medical Imaging Graph., 2021

Reference-Based Texture Transfer For Single Image Super-Resolution Of Magnetic Resonance Images.

Madhu Mithra K. K, Sriprabha Ramanarayanan, Keerthi Ram, Mohanasankar Sivaprakasam

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

MAC-ReconNet: A Multiple Acquisition Context based Convolutional Neural Network for MR Image Reconstruction using Dynamic Weight Prediction.

Sriprabha Ramanarayanan, Balamurali Murugesan, Keerthi Ram, Mohanasankar Sivaprakasam

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

DC-WCNN: A Deep Cascade of Wavelet Based Convolutional Neural Networks for MR Image Reconstruction.

Sriprabha Ramanarayanan, Balamurali Murugesan, Keerthi Ram, Mohanasankar Sivaprakasam

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

MRI Super-Resolution using Laplacian Pyramid Convolutional Neural Networks with Isotropic Undecimated Wavelet Loss.

Sriprabha Ramanarayanan, Balamurali Murugesan, Ananth Kalyanasundaram, Surya Prabhakaran, Keerthi Ram, Shantanu Patil, Mohanasankar Sivaprakasam

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2014

Axonal transport velocity estimation from kymographs based on curvilinear feature extraction and spline fitting.

Alka Nair, Sriprabha Ramanarayanan, Shikha Ahlawat, Sandhya Koushika, Niranjan Joshi, Mohanasankar Sivaprakasam

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014