Search Results - "Çukur, Tolga"
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Attention during natural vision warps semantic representation across the human brain
Published in Nature neuroscience (01-06-2013)“…The authors use functional magnetic resonance imaging to measure how the semantic representation changes when searching for different object categories in…”
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Spectrally selective imaging with wideband balanced steady-state free precession MRI
Published in Magnetic resonance in medicine (01-03-2016)“…Purpose Unwanted, bright fat signals in balanced steady‐state free precession sequences are commonly suppressed using spectral shaping. Here, a new…”
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FD‐Net: An unsupervised deep forward‐distortion model for susceptibility artifact correction in EPI
Published in Magnetic resonance in medicine (01-01-2024)“…Purpose To introduce an unsupervised deep‐learning method for fast and effective correction of susceptibility artifacts in reversed phase‐encode (PE) image…”
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A Transfer‐Learning Approach for Accelerated MRI Using Deep Neural Networks
Published in Magnetic resonance in medicine (01-08-2020)“…Purpose Neural networks have received recent interest for reconstruction of undersampled MR acquisitions. Ideally, network performance should be optimized by…”
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Biased competition in semantic representation during natural visual search
Published in NeuroImage (Orlando, Fla.) (01-08-2020)“…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…”
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Content-based medical image retrieval with opponent class adaptive margin loss
Published in Information sciences (01-08-2023)“…The increasing utilization of medical imaging technology with digital storage capabilities has facilitated the compilation of large-scale data repositories…”
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Unsupervised Medical Image Translation With Adversarial Diffusion Models
Published in IEEE transactions on medical imaging (01-12-2023)“…Imputation of missing images via source-to-target modality translation can improve diversity in medical imaging protocols. A pervasive approach for…”
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mustGAN: multi-stream Generative Adversarial Networks for MR Image Synthesis
Published in Medical image analysis (01-05-2021)“…•A novel multi-stream GAN architecture for multi-contrast MRI synthesis.•Insights into the learned latent representations in one-to-one and many-to-one…”
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Federated Learning of Generative Image Priors for MRI Reconstruction
Published in IEEE transactions on medical imaging (01-07-2023)“…Multi-institutional efforts can facilitate training of deep MRI reconstruction models, albeit privacy risks arise during cross-site sharing of imaging data…”
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Task-Dependent Warping of Semantic Representations during Search for Visual Action Categories
Published in The Journal of neuroscience (31-08-2022)“…Object and action perception in cluttered dynamic natural scenes relies on efficient allocation of limited brain resources to prioritize the attended targets…”
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Learning-Based Compressive MRI
Published in IEEE transactions on medical imaging (01-06-2018)“…In the area of magnetic resonance imaging (MRI), an extensive range of non-linear reconstruction algorithms has been proposed which can be used with general…”
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A Plug-In Graph Neural Network to Boost Temporal Sensitivity in fMRI Analysis
Published in IEEE journal of biomedical and health informatics (01-09-2024)“…Learning-based methods offer performance leaps over traditional methods in classification analysis of high-dimensional functional MRI (fMRI) data. In this…”
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Automated Parameter Selection for Accelerated MRI Reconstruction via Low-Rank Modeling of Local k-Space Neighborhoods
Published in Zeitschrift für medizinische Physik (01-05-2023)“…Image quality in accelerated MRI rests on careful selection of various reconstruction parameters. A common yet tedious and error-prone practice is to hand-tune…”
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Adaptive diffusion priors for accelerated MRI reconstruction
Published in Medical image analysis (01-08-2023)“…Deep MRI reconstruction is commonly performed with conditional models that de-alias undersampled acquisitions to recover images consistent with fully-sampled…”
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15
Attentional Modulation of Hierarchical Speech Representations in a Multitalker Environment
Published in Cerebral cortex (New York, N.Y. 1991) (01-10-2021)“…Abstract Humans are remarkably adept in listening to a desired speaker in a crowded environment, while filtering out nontarget speakers in the background…”
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DEQ-MPI: A Deep Equilibrium Reconstruction with Learned Consistency for Magnetic Particle Imaging
Published in IEEE transactions on medical imaging (01-01-2024)“…Magnetic particle imaging (MPI) offers unparalleled contrast and resolution for tracing magnetic nanoparticles. A common imaging procedure calibrates a system…”
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Semi-Supervised Learning of MRI Synthesis Without Fully-Sampled Ground Truths
Published in IEEE transactions on medical imaging (01-12-2022)“…Learning-based translation between MRI contrasts involves supervised deep models trained using high-quality source- and target-contrast images derived from…”
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BolT: Fused window transformers for fMRI time series analysis
Published in Medical image analysis (01-08-2023)“…Deep-learning models have enabled performance leaps in analysis of high-dimensional functional MRI (fMRI) data. Yet, many previous methods are suboptimally…”
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Focal modulation network for lung segmentation in chest X-ray images
Published in Elektrik : Turkish journal of electrical engineering & computer sciences (01-01-2023)Get full text
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Functional Subdomains within Scene-Selective Cortex: Parahippocampal Place Area, Retrosplenial Complex, and Occipital Place Area
Published in The Journal of neuroscience (05-10-2016)“…Functional MRI studies suggest that at least three brain regions in human visual cortex-the parahippocampal place area (PPA), retrosplenial complex (RSC), and…”
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