241 citations · 366 across the 6 of their papers we have counts for
7 papers
CalibFPA: A Focal Plane Array Imaging System based on Online Deep-Learning Calibration
Alper Güngör, M. Umut Bahceci, Yasin Ergen +4
Compressive focal plane arrays (FPA) enable cost-effective high-resolution (HR) imaging by acquisition of several multiplexed measurements on a low-resolution (LR) sensor. Multiple…
Learning Fourier-Constrained Diffusion Bridges for MRI Reconstruction
Muhammad U. Mirza, Onat Dalmaz, Hasan A. Bedel +5
Deep generative models have gained recent traction in accelerated MRI reconstruction. Diffusion priors are particularly promising given their representational fidelity. Instead of…
DEQ-MPI: A Deep Equilibrium Reconstruction with Learned Consistency for Magnetic Particle Imaging
Alper Güngör, Baris Askin, Damla Alptekin Soydan +3
Magnetic particle imaging (MPI) offers unparalleled contrast and resolution for tracing magnetic nanoparticles. A common imaging procedure calibrates a system matrix (SM) that is u…
Adaptive Diffusion Priors for Accelerated MRI Reconstruction
Alper Güngör, Salman UH Dar, Şaban Öztürk +4
Deep MRI reconstruction is commonly performed with conditional models that de-alias undersampled acquisitions to recover images consistent with fully-sampled data. Since conditiona…
TranSMS: Transformers for Super-Resolution Calibration in Magnetic Particle Imaging
Alper Güngör, Baris Askin, Damla Alptekin Soydan +3
Magnetic particle imaging (MPI) offers exceptional contrast for magnetic nanoparticles (MNP) at high spatio-temporal resolution. A common procedure in MPI starts with a calibration…
Comments on "Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?"
Talha Cihad Gulcu, Alper Gungor
In a recently published paper [1], it is shown that deep neural networks (DNNs) with random Gaussian weights preserve the metric structure of the data, with the property that the d…
Statistically Segregated k-Space Sampling for Accelerating Multiple-Acquisition MRI
L Kerem Senel, Toygan Kilic, Alper Gungor +5
A central limitation of multiple-acquisition magnetic resonance imaging (MRI) is the degradation in scan efficiency as the number of distinct datasets grows. Sparse recovery techni…