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 (EMBC, 2014)

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 (EMBC, 2020)

DC-WCNN: A Deep Cascade of Wavelet Based Convolutional Neural Networks for MR Image Reconstruction. - Sriprabha Ramanarayanan; Balamurali Murugesan; Keerthi Ram; Mohanasankar Sivaprakasam (ISBI, 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 (MIDL, 2020)

Reference-Based Texture Transfer For Single Image Super-Resolution Of Magnetic Resonance Images. - Madhu Mithra K. K; Sriprabha Ramanarayanan; Keerthi Ram; Mohanasankar Sivaprakasam (ISBI, 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)

Generalizable Deep Learning Method for Suppressing Unseen and Multiple MRI Artifacts Using Meta-learning. - Arun Palla; Sriprabha Ramanarayanan; Keerthi Ram; Mohanasankar Sivaprakasam (EMBC, 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 (ICCV (Workshops), 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 (MILLanD@MICCAI, 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 (MIDL, 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., 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, 2023)

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 (CVPR Workshops, 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 Emmanuel Joel; Harsh Agarwal; Ramesh Venkatesan; Mohanasankar Sivaprakasam (ISBI, 2024)

Registration Quality Evaluation Metric with Self-Supervised Siamese Networks. - Tanvi Kulkarni; Sriprabha Ramanarayanan; Keerthi Ram; Mohanasankar Sivaprakasam (MIDL, 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)

AAD-DCE: An Aggregated Multimodal Attention Mechanism for Early and Late Dynamic Contrast Enhanced Prostate MRI Synthesis. - Divya Bharti; Sriprabha Ramanarayanan; Sadhana S; Kishore Kumar M; Keerthi Ram; Harsh Agarwal; Ramesh Venkatesan; Mohanasankar Sivaprakasam (ICASSP, 2025)

AutoDPS: An unsupervised diffusion model based method for multiple degradation removal in MRI. - Arunima Sarkar; Ayantika Das; Keerthi Ram; Sriprabha Ramanarayanan; Suresh Emmanuel Joel; Mohanasankar Sivaprakasam (Comput. Methods Programs Biomed., 2025)

SHFormer: Dynamic spectral filtering convolutional neural network and high-pass kernel generation transformer for adaptive MRI reconstruction. - Sriprabha Ramanarayanan; Rahul G. S.; Mohammad Al Fahim; Keerthi Ram; Ramesh Venkatesan; Mohanasankar Sivaprakasam (Neural Networks, 2025)