A state-of-the-art review of experimental and computational studies of granular materials: properties, advances, challenges, and future directions
P Tahmasebi - Progress in Materials Science, 2023 - Elsevier
Modeling of heterogeneous materials and media is a problem of fundamental importance to
a wide class of phenomena and systems, ranging from condensed matter physics, soft …
a wide class of phenomena and systems, ranging from condensed matter physics, soft …
Artificial intelligence in cardiovascular imaging: state of the art and implications for the imaging cardiologist
KR Siegersma, T Leiner, DP Chew, Y Appelman… - Netherlands Heart …, 2019 - Springer
Healthcare, conceivably more than any other area of human endeavour, has the greatest
potential to be affected by artificial intelligence (AI). This potential has been shown by …
potential to be affected by artificial intelligence (AI). This potential has been shown by …
[HTML][HTML] Advancing regulatory science with computational modeling for medical devices at the FDA's Office of Science and Engineering Laboratories
TM Morrison, P Pathmanathan, M Adwan… - Frontiers in …, 2018 - frontiersin.org
Protecting and promoting public health is the mission of the US Food and Drug
Administration (FDA). FDA's Center for Devices and Radiological Health (CDRH), which …
Administration (FDA). FDA's Center for Devices and Radiological Health (CDRH), which …
Compressed sensing approach for physiological signals: A review
The immense progress in physiological signal acquisition and processing in health
monitoring allowed a better understanding of patient disease detection and diagnosis. With …
monitoring allowed a better understanding of patient disease detection and diagnosis. With …
A dual-mode 303-megaframes-per-second charge-domain time-compressive computational CMOS image sensor
K Kagawa, M Horio, AN Pham, T Ibrahim, S Okihara… - Sensors, 2022 - mdpi.com
An ultra-high-speed computational CMOS image sensor with a burst frame rate of 303
megaframes per second, which is the fastest among the solid-state image sensors, to our …
megaframes per second, which is the fastest among the solid-state image sensors, to our …
Optoacoustic imaging at kilohertz volumetric frame rates
A Özbek, XL Deán-Ben, D Razansky - Optica, 2018 - opg.optica.org
State-of-the-art optoacoustic tomographic imaging systems have been shown to attain three-
dimensional (3D) frame rates of the order of 100 Hz. While such a high volumetric imaging …
dimensional (3D) frame rates of the order of 100 Hz. While such a high volumetric imaging …
An efficient medical image compression technique for telemedicine systems
R Monika, S Dhanalakshmi - Biomedical Signal Processing and Control, 2023 - Elsevier
The medical practitioners primarily used medical images to reveal abnormalities in the
internal critical organs and structures of body covered by the bones and the skin. Main …
internal critical organs and structures of body covered by the bones and the skin. Main …
Deep learning on compressed sensing measurements in pneumonia detection
Pneumonia is one of the very common life‐threatening diseases and needs proper
diagnosis at an early stage to be cured expeditiously. Medical practitioners use chest X‐ray …
diagnosis at an early stage to be cured expeditiously. Medical practitioners use chest X‐ray …
Robust compressive sensing of sparse signals: a review
Compressive sensing generally relies on the ℓ 2 norm for data fidelity, whereas in many
applications, robust estimators are needed. Among the scenarios in which robust …
applications, robust estimators are needed. Among the scenarios in which robust …
RISING: A new framework for model-based few-view CT image reconstruction with deep learning
Medical image reconstruction from low-dose tomographic data is an active research field,
recently revolutionized by the advent of deep learning. In fact, deep learning typically yields …
recently revolutionized by the advent of deep learning. In fact, deep learning typically yields …