Artificial intelligence in assessing cardiovascular diseases and risk factors via retinal fundus images: A review of the last decade
M Abdollahi, A Jafarizadeh… - … : Data Mining and …, 2023 - Wiley Online Library
Cardiovascular diseases (CVDs) are the leading cause of death globally. The use of artificial
intelligence (AI) methods—in particular, deep learning (DL)—has been on the rise lately for …
intelligence (AI) methods—in particular, deep learning (DL)—has been on the rise lately for …
Advanced crack detection and segmentation on bridge decks using deep learning
Detecting and measuring cracks on a bridge deck is crucial for preventing further damage
and ensuring safety. However, manual methods are slow and subjective, highlighting the …
and ensuring safety. However, manual methods are slow and subjective, highlighting the …
AI-assisted quantification of hypothalamic atrophy in amyotrophic lateral sclerosis by convolutional neural network-based automatic segmentation
The hypothalamus is a small structure of the brain with an essential role in metabolic
homeostasis, sleep regulation, and body temperature control. Some neurodegenerative …
homeostasis, sleep regulation, and body temperature control. Some neurodegenerative …
Satellite video remote sensing for flood model validation
C Masafu, R Williams - Water Resources Research, 2024 - Wiley Online Library
Satellite‐based optical video sensors are poised as the next frontier in remote sensing.
Satellite video offers the unique advantage of capturing the transient dynamics of floods with …
Satellite video offers the unique advantage of capturing the transient dynamics of floods with …
Mapping stone walls in Northeastern USA using deep learning and LiDAR data
Stone walls are widespread and iconic landforms found throughout forested terrain in the
Northeastern USA that were built during the 17th to early 20th centuries to delineate …
Northeastern USA that were built during the 17th to early 20th centuries to delineate …
[HTML][HTML] Detecting Vietnam War bomb craters in declassified historical KH-9 satellite imagery
P Barthelme, E Darbyshire, D Spracklen… - Science of Remote …, 2024 - Elsevier
Thousands of people are injured every year from explosive remnants of war which include
unexploded ordnance (UXO) and abandoned ordnance. UXO has negative long-term …
unexploded ordnance (UXO) and abandoned ordnance. UXO has negative long-term …
Frequency-aware optical coherence tomography image super-resolution via conditional generative adversarial neural network
Optical coherence tomography (OCT) has stimulated a wide range of medical image-based
diagnosis and treatment in fields such as cardiology and ophthalmology. Such applications …
diagnosis and treatment in fields such as cardiology and ophthalmology. Such applications …
Deep learning based highly accurate transplanted bioengineered corneal equivalent thickness measurement using optical coherence tomography
Corneal transplantation is the primary treatment for irreversible corneal diseases, but due to
limited donor availability, bioengineered corneal equivalents are being developed as a …
limited donor availability, bioengineered corneal equivalents are being developed as a …
Resolution-enhanced electromagnetic inverse source: a deep learning approach
A Capozzoli, I Catapano, C Curcio… - IEEE Antennas and …, 2023 - ieeexplore.ieee.org
We investigate the capabilities of deep learning based on a convolutional neural network
(CNN) to improve the solution of an electromagnetic inverse source problem against a …
(CNN) to improve the solution of an electromagnetic inverse source problem against a …
Exploring the relationship between 24‐2 visual field and widefield optical coherence tomography data across healthy, glaucoma suspect and glaucoma eyes
Purpose To utilise ganglion cell‐inner plexiform layer (GCIPL) measurements acquired
using widefield optical coherence tomography (OCT) scans spanning 55°× 45° to explore …
using widefield optical coherence tomography (OCT) scans spanning 55°× 45° to explore …