| DC-WCNN: A deep cascade of wavelet based convolutional neural networks for MR image reconstruction S Ramanarayanan, B Murugesan, K Ram, M Sivaprakasam 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1069-1073, 2020 | 36 | 2020 |
| A deep cascade of ensemble of dual domain networks with gradient-based T1 assistance and perceptual refinement for fast MRI reconstruction B Murugesan, S Ramanarayanan, S Vijayarangan, K Ram, ... Computerized Medical Imaging and Graphics 91, 101942, 2021 | 8 | 2021 |
| Mac-reconnet: A multiple acquisition context based convolutional neural network for mr image reconstruction using dynamic weight prediction S Ramanarayanan, B Murugesan, K Ram, M Sivaprakasam Medical Imaging with Deep Learning, 696-708, 2020 | 6 | 2020 |
| Reference-based texture transfer for single image super-resolution of magnetic resonance images KKM Mithra, S Ramanarayanan, K Ram, M Sivaprakasam 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 579-583, 2021 | 4 | 2021 |
| MRI super-resolution using laplacian pyramid convolutional neural networks with isotropic undecimated wavelet loss S Ramanarayanan, B Murugesan, A Kalyanasundaram, S Prabhakaran, ... 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 4 | 2020 |
| Generalizing supervised deep learning mri reconstruction to multiple and unseen contrasts using meta-learning hypernetworks S Ramanarayanan, A Palla, K Ram, M Sivaprakasam Applied Soft Computing 146, 110633, 2023 | 3 | 2023 |
| Axonal transport velocity estimation from kymographs based on curvilinear feature extraction and spline fitting A Nair, S Ramanarayanan, S Ahlawat, S Koushika, N Joshi, ... 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 3 | 2014 |
| MCI-HyperNet: A multiple contextual information-based adaptive weight learning network for controllable image reconstruction S Ramanarayanan, B Murugesan, A Palla, K Ram, R Venkatesan, ... Neurocomputing 554, 126606, 2023 | 1 | 2023 |
| SFT-KD-Recon: Learning a Student-friendly Teacher for Knowledge Distillation in Magnetic Resonance Image Reconstruction NG Matcha, S Ramanarayanan, M Al Fahim, GS Rahul, K Ram, ... Medical Imaging with Deep Learning, 2023 | 1 | 2023 |
| Registration Quality Evaluation Metric with Self-Supervised Siamese Networks T Kulkarni, S Ramanarayanan, K Ram, M Sivaprakasam Medical Imaging with Deep Learning, 2024 | | 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 S Ramanarayanan, A Sarkar, MN Gayathri, K Ram, M Sivaprakasam arXiv preprint arXiv:2402.02125, 2024 | | 2024 |
| SDLFormer: A Sparse and Dense Locality-Enhanced Transformer for Accelerated MR Image Reconstruction GS Rahul, S Ramnarayanan, M Al Fahim arXiv e-prints, arXiv: 2308.04262, 2023 | | 2023 |
| Generalizable Deep Learning Method for Suppressing Unseen and Multiple MRI Artifacts Using Meta-learning A Palla, S Ramanarayanan, K Ram, M Sivaprakasam 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | | 2023 |
| HyperCoil-Recon: A Hypernetwork-based Adaptive Coil Configuration Task Switching Network for MRI Reconstruction S Ramanarayanan, M Al Fahim, AK Jethi, K Ram, M Sivaprakasam Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | | 2023 |
| OCUCformer: An Over-Complete Under-Complete Transformer Network for Accelerated MRI Reconstruction MA Fahim, S Ramanarayanan, GS Rahul, MN Gayathri, A Sarkar, K Ram, ... Available at SSRN 4705436, 0 | | |
| REFERENCE-BASED TEXTURE TRANSFER FOR SINGLE IMAGE SUPER-RESOLUTION OF MAGNETIC RESONANCE IMAGES MM KK, S Ramanarayanan, K Ram, M Sivaprakasam | | |
Dr. Mohanasankar SivaprakasamProfessor of Electrical Engineering, IIT MadrasVerified email at ee.iitm.ac.in
