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)

Geometric Learning-Based Transformer Network for Estimation of Segmentation Errors. - Sneha Sree C; Mohammad Al Fahim; Keerthi Ram; Mohanasankar Sivaprakasam (ShapeMI@MICCAI, 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)

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)

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)