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 …

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 …

[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 …

Compressed sensing approach for physiological signals: A review

B Lal, R Gravina, F Spagnolo… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
The immense progress in physiological signal acquisition and processing in health
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 …

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 …

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 …

Deep learning on compressed sensing measurements in pneumonia detection

SR Islam, SP Maity, AK Ray… - International Journal of …, 2022 - Wiley Online Library
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 …

Robust compressive sensing of sparse signals: a review

RE Carrillo, AB Ramirez, GR Arce, KE Barner… - EURASIP Journal on …, 2016 - Springer
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 …

RISING: A new framework for model-based few-view CT image reconstruction with deep learning

D Evangelista, E Morotti, EL Piccolomini - Computerized Medical Imaging …, 2023 - Elsevier
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 …