60 citations
- Arizona State UniversityUS1 paper
- Brooke Army Medical CenterUS1 paper
- Brown UniversityUS1 paper
- Columbia University Irving Medical CenterUS1 paper
- Complexe de Recherche Interprofessionnel en AérothermochimieFR1 paper
- Eindhoven University of TechnologyNL1 paper
- KTH Royal Institute of TechnologySE1 paper
- Massachusetts Institute of TechnologyUS1 paper
- MedStar Washington Hospital CenterUS1 paper
- Nanjing Brain HospitalCN1 paper
- New York UniversityUS1 paper
- Oregon Health & Science UniversityUS1 paper
8 papers
Contrastive Self-Supervised Learning for Spatio-Temporal Analysis of Lung Ultrasound Videos
Li Chen, Jonathan Rubin, Jiahong Ouyang +24
Self-supervised learning (SSL) methods have shown promise for medical imaging applications by learning meaningful visual representations, even when the amount of labeled data is li…
Accelerated Intravascular Ultrasound Imaging using Deep Reinforcement Learning
Tristan S. W. Stevens, Nishith Chennakeshava, Frederik J. de Bruijn +2
Intravascular ultrasound (IVUS) offers a unique perspective in the treatment of vascular diseases by creating a sequence of ultrasound-slices acquired from within the vessel. Howev…
Deep learning based dictionary learning and tomographic image reconstruction
Jevgenija Rudzusika, Thomas Koehler, Ozan Öktem
This work presents an approach for image reconstruction in clinical low-dose tomography that combines principles from sparse signal processing with ideas from deep learning. First,…
Two parameter Leak Estimation in Non invasive Ventilation
Francesco Vicario, Samiya Alkhairy, Roberto Buizza +1
In this paper we present a method for the estimation of leaks in non-invasive ventilation. Accurate estimation of leaks is a key component of a ventilator, since it determines the…
Algorithmic Principles of Camera-based Respiratory Motion Extraction
Wenjin Wang, Albertus C. den Brinker
Measuring the respiratory signal from a video based on body motion has been proposed and recently matured in products for video health monitoring. The core algorithm for this measu…
Regularization with Latent Space Virtual Adversarial Training
Genki Osada, Budrul Ahsan, Revoti Prasad Bora +1
Virtual Adversarial Training (VAT) has shown impressive results among recently developed regularization methods called consistency regularization. VAT utilizes adversarial samples,…