Search Results - "Bostan, Emrah"

Variations of intracellular density during the cell cycle arise from tip-growth regulation in fission yeast by Odermatt, Pascal D, Miettinen, Teemu P, Lemière, Joël, Kang, Joon Ho, Bostan, Emrah, Manalis, Scott R, Huang, Kerwyn Casey, Chang, Fred

“…Intracellular density impacts the physical nature of the cytoplasm and can globally affect cellular processes, yet density regulation remains poorly…”
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Physics-Based Learned Design: Optimized Coded-Illumination for Quantitative Phase Imaging by Kellman, Michael R., Bostan, Emrah, Repina, Nicole A., Waller, Laura

“…Coded illumination can enable quantitative phase microscopy of transparent samples with minimal hardware requirements. Intensity images are captured with…”
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Memory-Efficient Learning for Large-Scale Computational Imaging by Kellman, Michael, Zhang, Kevin, Markley, Eric, Tamir, Jon, Bostan, Emrah, Lustig, Michael, Waller, Laura

“…Critical aspects of computational imaging systems, such as experimental design and image priors, can be optimized through deep networks formed by the unrolled…”
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Bayesian Denoising: From MAP to MMSE Using Consistent Cycle Spinning by Kazerouni, A., Kamilov, U. S., Bostan, E., Unser, M.

“…We introduce a new approach for the implementation of minimum mean-square error (MMSE) denoising for signals with decoupled derivatives. Our method casts the…”
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Deep phase decoder: self-calibrating phase microscopy with an untrained deep neural network by Bostan, Emrah, Heckel, Reinhard, Chen, Michael, Kellman, Michael, Waller, Laura

“…Deep neural networks have emerged as effective tools for computational imaging, including quantitative phase microscopy of transparent samples. To reconstruct…”
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DiffuserCam: lensless single-exposure 3D imaging by Antipa, Nick, Kuo, Grace, Heckel, Reinhard, Mildenhall, Ben, Bostan, Emrah, Ng, Ren, Waller, Laura

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Unrolled primal-dual networks for lensless cameras by Kingshott, Oliver, Antipa, Nick, Bostan, Emrah, Akşit, Kaan

“…Conventional models for lensless imaging assume that each measurement results from convolving a given scene with a single experimentally measured point-spread…”
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Learning-Based Image Reconstruction via Parallel Proximal Algorithm by Bostan, Emrah, Kamilov, Ulugbek S., Waller, Laura

“…In the past decade, sparsity-driven regularization has led to the advancement of image reconstruction algorithms. Traditionally, such regularizers rely on…”
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Learning Convex Regularizers for Optimal Bayesian Denoising by Nguyen, Ha Q., Bostan, Emrah, Unser, Michael

“…We propose a data-driven algorithm for the Bayesian estimation of stochastic processes from noisy observations. The primary statistical properties of the…”
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Variational Phase Imaging Using the Transport-of-Intensity Equation by Bostan, Emrah, Froustey, Emmanuel, Nilchian, Masih, Sage, Daniel, Unser, Michael

“…We introduce a variational phase retrieval algorithm for the imaging of transparent objects. Our formalism is based on the transport-of-intensity equation…”
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Divergence-Free Wavelet Frames by Bostan, Emrah, Unser, Michael, Ward, John Paul

“…We propose an efficient construction of wavelet frames in any number of dimensions that are divergence-free. Our approach is based on applying the Leray…”
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Sparse Stochastic Processes and Discretization of Linear Inverse Problems by Bostan, Emrah, Kamilov, Ulugbek S., Nilchian, Masih, Unser, Michael

“…We present a novel statistically-based discretization paradigm and derive a class of maximum a posteriori (MAP) estimators for solving ill-conditioned linear…”
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Improved Variational Denoising of Flow Fields with Application to Phase-Contrast MRI Data by Bostan, Emrah, Lefkimmiatis, Stamatios, Vardoulis, Orestis, Stergiopulos, Nikolaos, Unser, Michael

“…We propose a new variational framework for the problem of reconstructing flow fields from noisy measurements. The formalism is based on regularizers penalizing…”
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Accelerated Wirtinger Flow for Multiplexed Fourier Ptychographic Microscopy by Bostan, Emrah, Soltanolkotabi, Mahdi, Ren, David, Waller, Laura

“…Fourier ptychographic microscopy enables gigapixel-scale imaging, with both large field-of-view and high resolution. Using a set of low-resolution images that…”
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A practical inverse-problem approach to digital holographic reconstruction by Bourquard, Aurélien, Pavillon, Nicolas, Bostan, Emrah, Depeursinge, Christian, Unser, Michael

“…In this paper, we propose a new technique for high-quality reconstruction from single digital holographic acquisitions. The unknown complex object field is…”
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Variational Justification of Cycle Spinning for Wavelet-Based Solutions of Inverse Problems by Kamilov, Ulugbek S., Bostan, Emrah, Unser, Michael

“…Cycle spinning is a widely used approach for improving the performance of wavelet-based methods that solve linear inverse problems. Extensive numerical…”
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Joint absorption and phase retrieval in grating-based x-ray radiography by Nilchian, Masih, Bostan, Emrah, Wang, Zhentian, Nilchiyan, Mohammad Reza, Stampanoni, Marco, Unser, Michael

“…Given the raw absorption and differential phase-contrast images obtained from a grating-based x-ray radiography, we formulate the joint denoising of the…”
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Wavelet Shrinkage With Consistent Cycle Spinning Generalizes Total Variation Denoising by Kamilov, U., Bostan, E., Unser, M.

“…We introduce a new wavelet-based method for the implementation of Total-Variation-type denoising. The data term is least-squares, while the regularization term…”
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Bayesian Estimation for Continuous-Time Sparse Stochastic Processes by Amini, A., Kamilov, U. S., Bostan, E., Unser, M.

“…We consider continuous-time sparse stochastic processes from which we have only a finite number of noisy/noiseless samples. Our goal is to estimate the…”
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Data-Driven Design for Fourier Ptychographic Microscopy by Kellman, Michael, Bostan, Emrah, Chen, Michael, Waller, Laura

“…Fourier Ptychographic Microscopy (FPM) is a computational imaging method that is able to super-resolve features beyond the diffraction-limit set by the…”
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