Mohammad Al Fahim

According to our database, Mohammad Al Fahim authored at least 5 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of six.
• 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

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

Geometric Learning-Based Transformer Network for Estimation of Segmentation Errors.

Sneha Sree C, Mohammad Al Fahim, Keerthi Ram, Mohanasankar Sivaprakasam

Proceedings of the Shape in Medical Imaging - International Workshop, 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