654 citations · 1.9k across the 149 of their papers we have counts for
7 papers · 1 filter
Compressed BC-LISTA via Low-Rank Convolutional Decomposition
Han Wang, Yhonatan Kvich, Eduardo Pérez +2
We study Sparse Signal Recovery (SSR) methods for multichannel imaging with compressed {forward and backward} operators that preserve reconstruction accuracy. We propose a Compress…
Semantic Communication Enabled Holographic Video Processing and Transmission
Jingkai Ying, Zhiyuan Qi, Yulong Feng +4
Holographic video communication is considered a paradigm shift in visual communications, becoming increasingly popular for its ability to offer immersive experiences. This article…
Deep Task-Based Beamforming and Channel Data Augmentations for Enhanced Ultrasound Imaging
Ariel Amar, Ahuva Grubstein, Eli Atar +5
This paper introduces a deep learning (DL)-based framework for task-based ultrasound (US) beamforming, aiming to enhance clinical outcomes by integrating specific clinical tasks di…
Self-STORM: Deep Unrolled Self-Supervised Learning for Super-Resolution Microscopy
Yair Ben Sahel, Yonina C. Eldar
The use of fluorescent molecules to create long sequences of low-density, diffraction-limited images enables highly-precise molecule localization. However, this methodology require…
Deep, convergent, unrolled half-quadratic splitting for image deconvolution
Yanan Zhao, Yuelong Li, Haichuan Zhang +2
In recent years, algorithm unrolling has emerged as a powerful technique for designing interpretable neural networks based on iterative algorithms. Imaging inverse problems have pa…
Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and Methodologies from CNN, GAN to Attention and Transformers
Jiahao Huang, Yingying Fang, Yang Nan +9
Research studies have shown no qualms about using data driven deep learning models for downstream tasks in medical image analysis, e.g., anatomy segmentation and lesion detection,…