602 citations · 816 across the 24 of their papers we have counts for
5 papers · 1 filter
Semantic Structure and Interpretability of Word Embeddings
Lutfi Kerem Senel, Ihsan Utlu, Veysel Yucesoy +2
Dense word embeddings, which encode semantic meanings of words to low dimensional vector spaces have become very popular in natural language processing (NLP) research due to their…
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…
A Transfer-Learning Approach for Accelerated MRI using Deep Neural Networks
Salman Ul Hassan Dar, Muzaffer Özbey, Ahmet Burak Çatlı +1
Purpose: Neural networks have received recent interest for reconstruction of undersampled MR acquisitions. Ideally network performance should be optimized by drawing the training a…
A Blind Deconvolution Technique Based on Projection Onto Convex Sets for Magnetic Particle Imaging
Onur Yorulmaz, Omer Burak Demirel, Yavuz Muslu +3
Magnetic Particle Imaging (MPI) is an emerging imaging modality that maps the spatial distribution of magnetic nanoparticles. The x-space reconstruction in MPI results in highly bl…
Reconstruction by Calibration over Tensors for Multi-Coil Multi-Acquisition Balanced SSFP Imaging
Erdem Biyik, Efe Ilicak, Tolga Çukur
Purpose: To develop a rapid imaging framework for balanced steady-state free precession (bSSFP) that jointly reconstructs undersampled data (by a factor of R) across multiple coils…