Generalized total variation denoising via augmented Lagrangian cycle spinning with Haar wavelets. - Ulugbek Kamilov; Emrah Bostan; Michael Unser (ICASSP, 2012)

Reconstruction of biomedical images and sparse stochastic modeling. - Emrah Bostan; Ulugbek Kamilov; Michael Unser (ISBI, 2012)

A dual algorithm for L1-regularized reconstruction of vector fields. - Emrah Bostan; Pouya Dehghani Tafti; Michael Unser (ISBI, 2012)

Wavelet Shrinkage With Consistent Cycle Spinning Generalizes Total Variation Denoising. - Ulugbek Kamilov; Emrah Bostan; Michael Unser (IEEE Signal Process. Lett., 2012)

Autocalibrated signal reconstruction from linear measurements using adaptive GAMP. - Ulugbek Kamilov; Aurélien Bourquard; Emrah Bostan; Michael Unser (ICASSP, 2013)

Benefits of consistency in image denoising with steerable wavelets. - Bugra Tekin; Ulugbek Kamilov; Emrah Bostan; Michael Unser (ICASSP, 2013)

Spatio-temporal regularization of flow-fields. - Emrah Bostan; Orestis Vardoulis; Davide Piccini; Pouya Dehghani Tafti; Nikos Stergiopulos; Michael Unser (ISBI, 2013)

Variational decomposition of vector fields in the presence of noise. - Pouya Dehghani Tafti; Emrah Bostan; Michael Unser (ISBI, 2013)

Bayesian Denoising: From MAP to MMSE Using Consistent Cycle Spinning. - Abbas Kazerouni; Ulugbek Kamilov; Emrah Bostan; Michael Unser (IEEE Signal Process. Lett., 2013)

Sparse Stochastic Processes and Discretization of Linear Inverse Problems. - Emrah Bostan; Ulugbek Kamilov; Masih Nilchian; Michael Unser (IEEE Trans. Image Process., 2013)

Bayesian Estimation for Continuous-Time Sparse Stochastic Processes. - Arash Amini; Ulugbek Kamilov; Emrah Bostan; Michael Unser (IEEE Trans. Signal Process., 2013)

Phase retrieval by using transport-of-intensity equation and differential interference contrast microscopy. - Emrah Bostan; Emmanuel Froustey; Benjamin Rappaz; Etienne Shaffer; Daniel Sage; Michael Unser (ICIP, 2014)

Statistics of wavelet coefficients for sparse self-similar images. - Julien Fageot; Emrah Bostan; Michael Unser (ICIP, 2014)

Variational Justification of Cycle Spinning for Wavelet-Based Solutions of Inverse Problems. - Ulugbek Kamilov; Emrah Bostan; Michael Unser (IEEE Signal Process. Lett., 2014)

Wavelet Statistics of Sparse and Self-Similar Images. - Julien Fageot; Emrah Bostan; Michael Unser (SIAM J. Imaging Sci., 2015)

Improved Variational Denoising of Flow Fields with Application to Phase-Contrast MRI Data. - Emrah Bostan; Stamatios Lefkimmiatis; Orestis Vardoulis; Nikolaos Stergiopulos; Michael Unser (IEEE Signal Process. Lett., 2015)

Divergence-Free Wavelet Frames. - Emrah Bostan; Michael Unser; John Paul Ward (IEEE Signal Process. Lett., 2015)

MMSE denoising of sparse and non-Gaussian AR(1) processes. - Pouria Tohidi; Emrah Bostan; Pedram Pad; Michael Unser (ICASSP, 2016)

Variational Phase Imaging Using the Transport-of-Intensity Equation. - Emrah Bostan; Emmanuel Froustey; Masih Nilchian; Daniel Sage; Michael Unser (IEEE Trans. Image Process., 2016)

DiffuserCam: Lensless Single-exposure 3D Imaging. - Nick Antipa; Grace Kuo; Reinhard Heckel; Ben Mildenhall; Emrah Bostan; Ren Ng; Laura Waller (CoRR, 2017)

Accelerated Wirtinger Flow for Multiplexed Fourier Ptychographic Microscopy. - Emrah Bostan; Mahdi Soltanolkotabi; David Ren; Laura Waller (ICIP, 2018)

Physics-based Learned Design: Optimized Coded-Illumination for Quantitative Phase Imaging. - Michael R. Kellman; Emrah Bostan; Nicole A. Repina; Michael Lustig; Laura Waller (CoRR, 2018)

Learning-Based Image Reconstruction via Parallel Proximal Algorithm. - Emrah Bostan; Ulugbek S. Kamilov; Laura Waller (IEEE Signal Process. Lett., 2018)

Learning Convex Regularizers for Optimal Bayesian Denoising. - Ha Q. Nguyen 001; Emrah Bostan; Michael Unser (IEEE Trans. Signal Process., 2018)

Video from Stills: Lensless Imaging with Rolling Shutter. - Nick Antipa; Patrick Oare; Emrah Bostan; Ren Ng; Laura Waller (ICCP, 2019)

Data-Driven Design for Fourier Ptychographic Microscopy. - Michael R. Kellman; Emrah Bostan; Michael Chen; Laura Waller (ICCP, 2019)

Memory-efficient Learning for Large-scale Computational Imaging. - Michael R. Kellman; Jonathan I. Tamir; Emrah Bostan; Michael Lustig; Laura Waller (CoRR, 2019)

Physics-Based Learned Design: Optimized Coded-Illumination for Quantitative Phase Imaging. - Michael R. Kellman; Emrah Bostan; Nicole A. Repina; Laura Waller (IEEE Trans. Computational Imaging, 2019)

Memory-efficient Learning for Large-scale Computational Imaging. - Michael R. Kellman; Kevin Zhang 003; Jonathan I. Tamir; Emrah Bostan; Michael Lustig; Laura Waller (CoRR, 2020)

Memory-Efficient Learning for Large-Scale Computational Imaging. - Michael R. Kellman; Kevin Zhang 003; Eric Markley; Jonathan I. Tamir; Emrah Bostan; Michael Lustig; Laura Waller (IEEE Trans. Computational Imaging, 2020)

Unrolled Primal-Dual Networks for Lensless Cameras. - Oliver Kingshott; Nick Antipa; Emrah Bostan; Kaan Aksit (CoRR, 2022)