Search Results - "Gözcü, Baran"

Learning-Based Compressive MRI by Gozcu, Baran, Mahabadi, Rabeeh Karimi, Yen-Huan Li, Ilicak, Efe, Cukur, Tolga, Scarlett, Jonathan, Cevher, Volkan

“…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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Implicit Neural Representation for Physics-driven Actuated Soft Bodies by Yang, Lingchen, Kim, Byungsoo, Zoss, Gaspard, Gözcü, Baran, Gross, Markus, Solenthaler, Barbara

“…Active soft bodies can affect their shape through an internal actuation mechanism that induces a deformation. Similar to recent work, this paper utilizes a…”
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Learning-Based Compressive Subsampling by Baldassarre, Luca, Yen-Huan Li, Scarlett, Jonathan, Gozcu, Baran, Bogunovic, Ilija, Cevher, Volkan

“…The problem of recovering a structured signal x ∈ C p from a set of dimensionality-reduced linear measurements b = Ax arises in a variety of applications, such…”
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Automated and data-driven plate computation for presurgical cleft lip and palate treatment by Schnabel, Till N., Gözcü, Baran, Gotardo, Paulo, Lingens, Lasse, Dorda, Daniel, Vetterli, Frawa, Emhemmed, Ashraf, Nalabothu, Prasad, Lill, Yoriko, Benitez, Benito K., Mueller, Andreas A., Gross, Markus, Solenthaler, Barbara

“…Purpose Presurgical orthopedic plates are widely used for the treatment of cleft lip and palate, which is the most common craniofacial birth defect. For the…”
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Scalable Learning-Based Sampling Optimization for Compressive Dynamic MRI by Sanchez, Thomas, Gozcu, Baran, van Heeswijk, Ruud B., Eftekhari, Armin, Ilicak, Efe, Cukur, Tolga, Cevher, Volkan

“…Compressed sensing applied to magnetic resonance imaging (MRI) allows to reduce the scanning time by enabling images to be reconstructed from highly…”
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Learning-based Compressive Subsampling by Baldassarre, Luca, Li, Yen-Huan, Scarlett, Jonathan, Gözcü, Baran, Bogunovic, Ilija, Cevher, Volkan

“…The problem of recovering a structured signal $\mathbf{x} \in \mathbb{C}^p$ from a set of dimensionality-reduced linear measurements $\mathbf{b} = \mathbf…”
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Rethinking Sampling in Parallel MRI: A Data-Driven Approach by Gozcu, Baran, Sanchez, Thomas, Cevher, Volkan

“…In the last decade, Compressive Sensing (CS) has emerged as the most promising, model-driven approach to accelerate MRI scans. CS relies on the key sparsity…”
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Scalable Learning-Based Sampling Optimization for Compressive Dynamic MRI by Sanchez, Thomas, Gözcü, Baran, van Heeswijk, Ruud B, Eftekhari, Armin, Ilıcak, Efe, Çukur, Tolga, Cevher, Volkan

“…Compressed sensing applied to magnetic resonance imaging (MRI) allows to reduce the scanning time by enabling images to be reconstructed from highly…”
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Learning-Based Compressive MRI by Gözcü, Baran, Mahabadi, Rabeeh Karimi, Li, Yen-Huan, Ilıcak, Efe, Çukur, Tolga, Scarlett, Jonathan, Cevher, Volkan

“…In the area of magnetic resonance imaging (MRI), an extensive range of non-linear reconstruction algorithms have been proposed that can be used with general…”
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Manifold sparse beamforming by Gozcu, Baran, Asaei, Afsaneh, Cevher, Volkan

“…We consider the minimum variance distortionless response (MVDR) beamforming problems where the array covariance matrix is rank deficient. The conventional…”
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A primal-dual framework for mixtures of regularizers by Gozcu, Baran, Baldassarre, Luca, Tran-Dinh, Quoc, Aprile, Cosimo, Cevher, Volkan

“…Effectively solving many inverse problems in engineering requires to leverage all possible prior information about the structure of the signal to be estimated…”
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