User profiles for P. L. Dragotti

Pier Luigi Dragotti

Professor, Imperial College London
Verified email at imperial.ac.uk
Cited by 8402

AI-based reconstruction for fast MRI—a systematic review and meta-analysis

…, P Liò, T Leiner, PL Dragotti… - Proceedings of the …, 2022 - ieeexplore.ieee.org
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 …

DAGAN: deep de-aliasing generative adversarial networks for fast compressed sensing MRI reconstruction

…, S Yu, H Dong, G Slabaugh, PL Dragotti… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
PL Dragotti is with the EEE Department, Imperial College London, London SW3 6NP, UK
(e-mail: p.dragotti@imperial.ac.uk). X. Ye is with the School of Computer Science, University of …

Sampling moments and reconstructing signals of finite rate of innovation: Shannon meets Strang–Fix

PL Dragotti, M Vetterli, T Blu - IEEE Transactions on signal …, 2007 - ieeexplore.ieee.org
PL Dragotti is with the Electrical and Electronic Engineering Department, Imperial College
London, London SW7 2AZ, UK (e-mail: p.dragotti… Shukla and PL Dragotti, “Sampling schemes …

Sampling curves with finite rate of innovation

H Pan, T Blu, PL Dragotti - IEEE Transactions on Signal …, 2013 - ieeexplore.ieee.org
… function µ(x, y) whose roots define the annihilable curve in (3) in the first place. The image
… Shukla and PL Dragotti, “Sampling schemes for multidimensional signals with finite rate of …

Sparse sampling of signal innovations

T Blu, PL Dragotti, M Vetterli… - IEEE Signal …, 2008 - ieeexplore.ieee.org
… Pier-Luigi Dragotti (p.dragotti@imperial.ac.uk) is a senior lecturer (associate professor) in
the Electrical and Electronic Engineering Department at Imperial College London. He received …

Compression of multispectral images by three-dimensional SPIHT algorithm

PL Dragotti, G Poggi… - IEEE Transactions on …, 2000 - ieeexplore.ieee.org
… [19], for example, shows that equally good results can be achieved using an EZW-like
image coder with the DCT in place of the WT. As a matter of fact, one ends up using a fixed …

Directionlets: anisotropic multidirectional representation with separable filtering

…, M Vetterli, PL Dragotti - … on Image Processing, 2006 - ieeexplore.ieee.org
In spite of the success of the standard wavelet transform (WT) in image processing in recent
years, the efficiency of its representation is limited by the spatial isotropy of its basis …

[HTML][HTML] Neural heterogeneity promotes robust learning

N Perez-Nieves, VCH Leung, PL Dragotti… - Nature …, 2021 - nature.com
… At these large network sizes, the homogeneous network neurons fire at or close to their
maximal rate and training cannot take place, leading to poor performance (Fig. 3C). The …

The distributed karhunen–loeve transform

M Gastpar, PL Dragotti, M Vetterli - IEEE Transactions on …, 2006 - ieeexplore.ieee.org
The Karhunen-Loeve transform (KLT) is a key element of many signal processing and
communication tasks. Many recent applications involve distributed signal processing, where it is …

Deep convolutional neural network for multi-modal image restoration and fusion

X Deng, PL Dragotti - IEEE transactions on pattern analysis …, 2020 - ieeexplore.ieee.org
… Deng and PL Dragotti, “Deep coupled ISTA network for multi-modal image super-resolution,…
Song, MR Rodrigues, and PL Dragotti, “RADAR: Robust algorithm for depth image super …