My research centers on developing methods to make MR imaging faster and more accurate. Specifically, I am focused on reducing motion artifacts in functional MRI in non-human primates. Also, using fMRI, I develop computational models to investigate representations of visual and auditory natural stimuli in the human brain, and their interactions with attention.
Attentional Modulation of Hierarchical Speech Representations in a Multi-Talker Environment
Kiremitci I. et al, (2020)
Prior-Guided Image Reconstruction for Accelerated Multi-Contrast MRI via Generative Adversarial Networks
Dar SUH. et al, (2020), IEEE Journal of Selected Topics in Signal Processing, 1 - 1
Biased competition in semantic representation during natural visual search.
Shahdloo M. et al, (2019), Neuroimage
Projection onto Epigraph Sets for Rapid Self-Tuning Compressed Sensing MRI.
Shahdloo M. et al, (2019), IEEE Trans Med Imaging, 38, 1677 - 1689
Synergistic Reconstruction and Synthesis via Generative Adversarial Networks for Accelerated Multi-Contrast MRI
Dar SUH. et al, (2018)