Browsing by Author "Shahdloo, Mohammad"
Now showing items 1-6 of 6
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Attentional modulation of hierarchical speech representations in a multitalker environment
(Oxford University Press, 2021-11)Humans are remarkably adept in listening to a desired speaker in a crowded environment, while filtering out nontarget speakers in the background. Attention is key to solving this difficult cocktail-party task, yet a detailed ... -
Biased competition in semantic representation during natural visual search
(Elsevier, 2020)Humans divide their attention among multiple visual targets in daily life, and visual search can get more difficult as the number of targets increases. The biased competition hypothesis (BC) has been put forth as an ... -
Biased competition in semantic representations across the human brain during category-based visual search
(Bilkent University, 2017-01)Humans can perceive thousands of distinct object and action categories in the visual scene and successfully divide their attention among multiple target categories. It has been shown that object and action categories are ... -
Optimization and machine learning in MRI: applications in rapid MR image reconstruction and encoding models of cortical representations
(Bilkent University, 2020-02)Magnetic Resonance Imaging (MRI) is a non-invasive medical imaging modality that is widely used by clinicians and researchers to picture body anatomy and neuronal function. However, long scan time remains a major problem. ... -
Prior-Guided image reconstruction for accelerated multi-contrast MRI via generative adversarial networks
(IEEE, 2020)Multi-contrast MRI acquisitions of an anatomy enrich the magnitude of information available for diagnosis. Yet, excessive scan times associated with additional contrasts may be a limiting factor. Two mainstream frameworks ... -
Projection onto epigraph sets for rapid self-tuning compressed sensing MRI
(IEEE, 2019)The compressed sensing (CS) framework leverages the sparsity of MR images to reconstruct from undersampled acquisitions. CS reconstructions involve one or more regularization parameters that weigh sparsity in transform ...
