output
20042026
most citedA General Survey on Attention Mechanisms in Deep Learning

679 citations

Showing physics.med-phShow all

5 papers · 1 filter

physics.med-ph2025

q3-MuPa: Quick, Quiet, Quantitative Multi-Parametric MRI using Physics-Informed Diffusion Models

Shishuai Wang, Florian Wiesinger, Noemi Sgambelluri +4

The 3D fast silent multi-parametric mapping sequence with zero echo time (MuPa-ZTE) is a novel quantitative MRI (qMRI) acquisition that enables nearly silent scanning by using a 3D…

physics.med-ph20255 cited

The Anatomy of Coronary Risk: How Artery Geometry Shapes Coronary Artery Disease through Blood Flow Haemodynamics -- Latest Methods, Insights and Clinical Implications

C. Shen, M. Zhang, H. Keramati +13

Despite tremendous advances in cardiovascular medicine, significant opportunities remain to improve coronary artery disease (CAD) prevention and treatment strategies. The key limit…

physics.med-ph2025

Evaluation of the Automatic Classifier AutoSense Sky OS for Pediatric Cochlear Implant Users using a Virtual Classroom Environment

Maartje M. E. Hendrikse, André Goedegebure, Kars R. Tjepkema +1

This study evaluated whether AutoSense Sky OS, an automatic classifier used in pediatric Advanced Bionics cochlear implants (CIs), improves speech intelligibility from the front wi…

physics.med-ph202212 cited

US Velocimetry in Participants with Aortoiliac Occlusive Disease

Stefan Engelhard, Majorie van Helvert, Jason Voorneveld +5

The accurate quantification of blood flow in aortoiliac arteries is challenging but clinically relevant because local flow patterns can influence atherosclerotic disease. To invest…

physics.med-ph20197 cited

Fast Prospective Detection of Contrast Inflow in X-ray Angiograms with Convolutional Neural Network and Recurrent Neural Network

Hua Ma, Pierre Ambrosini, Theo van Walsum

Automatic detection of contrast inflow in X-ray angiographic sequences can facilitate image guidance in computer-assisted cardiac interventions. In this paper, we propose two diffe…