Advisors
Now showing items 1-14 of 14
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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 ... -
Compressed sensing techniques for accelerated magnetic resonance imaging
(Bilkent University, 2017-07)Magnetic resonance imaging has seen a growing interest in the recent years due to its non-invasive and non-ionizing nature. However, imaging speed remains a major concern. Recently, compressed sensing theory has opened ... -
Deep learning for accelerated 3D MRI
(Bilkent University, 2021-08)Magnetic resonance imaging (MRI) offers the flexibility to image a given anatomic volume under a multitude of tissue contrasts. Yet, scan time considerations put stringent limits on the quality and diversity of MRI data. The ... -
Deep learning for accelerated MR imaging
(Bilkent University, 2021-02)Magnetic resonance imaging is a non-invasive imaging modality that enables multi-contrast acquisition of an underlying anatomy, thereby supplementing mul-titude of information for diagnosis. However, prolonged scan duration ... -
Deep learning for multi-contrast MRI synthesis
(Bilkent University, 2021-07)Magnetic resonance imaging (MRI) possesses the unique versatility to acquire images under a diverse array of distinct tissue contrasts. Multi-contrast images, in turn, better delineate tissues, accumulate diagnostic ... -
Effects of auditory attention on language representation across the human brain
(Bilkent University, 2019-09)Humans can effortlessly identify target auditory objects during natural listening and shift their focus between different targets. Unique allocation of brain resources would be inefficient for semantic search task. Here, ... -
Efficient parameter mapping for magnetic resonance imaging
(Bilkent University, 2019-07)Balanced steady-state free precession (bSSFP) is a magnetic resonance imaging (MRI) sequence that enables high signal-to-noise ratios in short scan times. However, it has elevated sensitivity to main eld inhomogeneity, ... -
Inter-regional connectivity in the human brain during visual search
(Bilkent University, 2016-08)Separate groups of regions in the human brain are thought to be functionally specialized for representing specific categories of visual objects, and for controlling and deployments of visual attention. It is commonly ... -
Measuring and improving interpretability of word embeddings using lexical resources
(Bilkent University, 2019-08)As an ubiquitous method in natural language processing, word embeddings are extensively employed to map semantic properties of words into a dense vector representations. They have become increasingly popular due to their ... -
Natural speech representations in the human brain during a cocktail party
(Bilkent University, 2021-08)Humans are remarkably adept in selectively listening to a desired speaker in a crowded environment, while filtering out non-target speakers in the background. Attention is key to solving this difficult cocktail-party task, ... -
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. ... -
Rapid reconstruction for parallel magnetic resonance imaging with non-Cartesian variable-density sampling trajectories
(Bilkent University, 2020-01)Due to long acquisition times, the use of magnetic resonance imaging (MRI) remains challenging in some applications. Variable-density acquisitions enable scan acceleration while maintaining a desirable trade-off between ... -
Signal detection theory analysis of category-based visual search in natural movies
(Bilkent University, 2016-08)The human brain changes its inner hierarchy and connection strength between the neurons in order to apprehend the real world. In visual search, It is thought that the human brain changes the sensitivity of neurons in the ... -
Spatially informed voxelwise modeling and dynamic scene category representation in the human brain
(Bilkent University, 2021-12)Humans have an impressive ability to rapidly process global information in natural scenes to infer their category. Yet, it remains unclear whether and how scene categories observed dynamically in the natural world are ...
