198 citations · 533 across the 14 of their papers we have counts for
15 papers
GRAPPA-GANs for Parallel MRI Reconstruction
Nader Tavaf, Amirsina Torfi, Kamil Ugurbil +1
k-space undersampling is a standard technique to accelerate MR image acquisitions. Reconstruction techniques including GeneRalized Autocalibrating Partial Parallel Acquisition(GRAP…
Differentially Private Synthetic Medical Data Generation using Convolutional GANs
Amirsina Torfi, Edward A. Fox, Chandan K. Reddy
Deep learning models have demonstrated superior performance in several application problems, such as image classification and speech processing. However, creating a deep learning m…
On the Evaluation of Generative Adversarial Networks By Discriminative Models
Amirsina Torfi, Mohammadreza Beyki, Edward A. Fox
Generative Adversarial Networks (GANs) can accurately model complex multi-dimensional data and generate realistic samples. However, due to their implicit estimation of data distrib…
Natural Language Processing Advancements By Deep Learning: A Survey
Amirsina Torfi, Rouzbeh A. Shirvani, Yaser Keneshloo +2
Natural Language Processing (NLP) helps empower intelligent machines by enhancing a better understanding of the human language for linguistic-based human-computer communication. Re…
CorGAN: Correlation-Capturing Convolutional Generative Adversarial Networks for Generating Synthetic Healthcare Records
Amirsina Torfi, Edward A. Fox
Deep learning models have demonstrated high-quality performance in areas such as image classification and speech processing. However, creating a deep learning model using electroni…
GASL: Guided Attention for Sparsity Learning in Deep Neural Networks
Amirsina Torfi, Rouzbeh A. Shirvani, Sobhan Soleymani +1
The main goal of network pruning is imposing sparsity on the neural network by increasing the number of parameters with zero value in order to reduce the architecture size and the…