Ramyah Rajakulasingam

According to our database, Ramyah Rajakulasingam authored at least 4 papers between 2023 and 2025.

Collaborative distances:

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

2025

Enhanced DTCMR With Cascaded Alignment and Adaptive Diffusion.

Fanwen Wang, Yihao Luo, Camila Munoz, Ke Wen, Yaqing Luo, Jiahao Huang, Yinzhe Wu, Zohya Khalique, Maria Molto, Ramyah Rajakulasingam, Ranil De Silva, Dudley J. Pennell, Pedro F. Ferreira, Andrew D. Scott, Sonia Nielles-Vallespin, Guang Yang

IEEE Trans. Medical Imaging, April, 2025

RSFR: A Coarse-to-Fine Reconstruction Framework for Diffusion Tensor Cardiac MRI with Semantic-Aware Refinement.

Jiahao Huang, Fanwen Wang, Pedro F. Ferreira, Haosen Zhang, Yinzhe Wu, Zhifan Gao, Lei Zhu, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Andrew D. Scott, Zohya Khalique, Maria Dwornik, Ramyah Rajakulasingam, Ranil De Silva, Dudley J. Pennell, Guang Yang, Sonia Nielles-Vallespin

CoRR, April, 2025

2023

Deep Learning-based Diffusion Tensor Cardiac Magnetic Resonance Reconstruction: A Comparison Study.

Jiahao Huang, Pedro F. Ferreira, Lichao Wang, Yinzhe Wu, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Andrew D. Scott, Zohya Khalique, Maria Dwornik, Ramyah Rajakulasingam, Ranil De Silva, Dudley J. Pennell, Sonia Nielles-Vallespin, Guang Yang

CoRR, 2023

Style Transfer and Self-Supervised Learning Powered Myocardium Infarction Super-Resolution Segmentation.

Lichao Wang, Jiahao Huang, Xiaodan Xing, Yinzhe Wu, Ramyah Rajakulasingam, Andrew D. Scott, Pedro F. Ferreira, Ranil De Silva, Sonia Nielles-Vallespin, Guang Yang

Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023