147 citations · 426 across the 40 of their papers we have counts for
6 papers · 1 filter
AI-based Reconstruction for Fast MRI -- A Systematic Review and Meta-analysis
Yutong Chen, Carola-Bibiane Schönlieb, Pietro Liò +6
Compressed sensing (CS) has been playing a key role in accelerating the magnetic resonance imaging (MRI) acquisition process. With the resurgence of artificial intelligence, deep n…
Light-Field Microscopy for optical imaging of neuronal activity: when model-based methods meet data-driven approaches
Pingfan Song, Herman Verinaz Jadan, Carmel L. Howe +2
Understanding how networks of neurons process information is one of the key challenges in modern neuroscience. A necessary step to achieve this goal is to be able to observe the dy…
Privacy-Aware Communication Over a Wiretap Channel with Generative Networks
Ecenaz Erdemir, Pier Luigi Dragotti, Deniz Gunduz
We study privacy-aware communication over a wiretap channel using end-to-end learning. Alice wants to transmit a source signal to Bob over a binary symmetric channel, while passive…
WINNet: Wavelet-inspired Invertible Network for Image Denoising
Jun-Jie Huang, Pier Luigi Dragotti
Image denoising aims to restore a clean image from an observed noisy image. The model-based image denoising approaches can achieve good generalization ability over different noise…
LINN: Lifting Inspired Invertible Neural Network for Image Denoising
Jun-Jie Huang, Pier Luigi Dragotti
In this paper, we propose an invertible neural network for image denoising (DnINN) inspired by the transform-based denoising framework. The proposed DnINN consists of an invertible…
Active Privacy-utility Trade-off Against a Hypothesis Testing Adversary
Ecenaz Erdemir, Pier Luigi Dragotti, Deniz Gunduz
We consider a user releasing her data containing some personal information in return of a service. We model user's personal information as two correlated random variables, one of t…