[HTML][HTML] Can artificial intelligence accelerate fluid mechanics research?

D Drikakis, F Sofos - Fluids, 2023 - mdpi.com
The significant growth of artificial intelligence (AI) methods in machine learning (ML) and
deep learning (DL) has opened opportunities for fluid dynamics and its applications in …

Global recession sentiment analysis utilizing VADER and ensemble learning method with word embedding

MR Ningsih, KAH Wibowo, AU Dullah… - Journal of Soft …, 2023 - shmpublisher.com
The issue of the Global Recession is hitting various countries, including Indonesia. Many
Indonesians have expressed their opinions on the issue of the global recession in 2023, one …

Automatic height measurement of central serous chorioretinopathy lesion using a deep learning and adaptive gradient threshold based cascading strategy

J Xu, F Zhou, J Shen, Z Yan, C Wan, J Yao - Computers in Biology and …, 2024 - Elsevier
Accurately quantifying the height of central serous chorioretinopathy (CSCR) lesion is of
great significance for assisting ophthalmologists in diagnosing CSCR and evaluating …

Linear multifractional stable motion for modeling of fluid-filled regions in retinal optical coherence tomography images

M Tajmirriahi, H Rabbani - Chaos, Solitons & Fractals, 2024 - Elsevier
Fluid appears in several retinal disorders can be visualized by optical coherence
tomography (OCT) images. Since manual survey of OCT images is challenging, automatic …

[HTML][HTML] When Two Eyes Don't Suffice—Learning Difficult Hyperfluorescence Segmentations in Retinal Fundus Autofluorescence Images via Ensemble Learning

M Santarossa, TT Beyer, ABA Scharf, A Tatli… - Journal of …, 2024 - ncbi.nlm.nih.gov
Hyperfluorescence (HF) and reduced autofluorescence (RA) are important biomarkers in
fundus autofluorescence images (FAF) for the assessment of health of the retinal pigment …

[HTML][HTML] Comprehensive fully-automatic multi-depth grading of the clinical types of macular neovascularization in OCTA images

PL Vidal, J de Moura, P Almuiña, MI Fernández… - Applied …, 2023 - Springer
Abstract Optical Coherence Tomography Angiography or OCTA represents one of the main
means of diagnosis of Age-related Macular Degeneration (AMD), the leading cause of …

Deep Attention Assisted Multi-resolution Networks for the Segmentation of White Matter Hyperintensities in Postmortem MRI Scans

A Benet Nirmala, T Rashid, E Fadaee… - … Workshop on Machine …, 2023 - Springer
In the presence of cardiovascular disease and neurodegenerative disorders, the white
matter of the brains of clinical study participants often present bright spots in T2-weighted …

Deep Attention Assisted Multi-resolution Networks for the Segmentation of White Matter Hyperintensities in Postmortem MRI Scans

N Honnorat, K Li, S Charisis, D Wang… - Machine Learning in …, 2023 - books.google.com
In the presence of cardiovascular disease and neurodegenerative disorders, the white
matter of the brains of clinical study participants often present bright spots in T2-weighted …

Retinal Optical Coherence Tomography Image Denoising using Convolutional Autoencoder

MF Wahid, ABMA Hossain - 2023 14th International …, 2023 - ieeexplore.ieee.org
Optical Coherence Tomography (OCT) is an imaging modality that is frequently used to
monitor and diagnose retinal diseases. However, speckle noise in the acquired OCT images …

Eye Disease Prediction Using Ensemble Learning and Attention on OCT Scans

G Naik, N Narvekar, D Agarwal, N Nandanwar… - Future of Information …, 2024 - Springer
Eye diseases have posed significant challenges for decades, but advancements in
technology have opened new avenues for their detection and treatment. Machine learning …