You are currently viewing a new version of our website. To view the old version click .

Journal of Imaging, Volume 9, Issue 11

November 2023 - 21 articles

Cover Story: Chest radiography (CXR) is the most frequently performed radiological test worldwide because of its wide availability, non-invasive nature, and low cost. Considering the sustained increase in the incidence of cardiovascular diseases, it is critical to find accessible, fast, and reproducible tests to help diagnose these frequent conditions. AI-analyzed CXRs could be utilized in the future as a complimentary, easy-to-apply technology to improve diagnosis and risk stratification for cardiovascular diseases. Such advances will likely help better target more advanced investigations, which may reduce the burden of testing in some cases, as well as better identify higher-risk patients who would benefit from earlier, dedicated, and comprehensive cardiovascular evaluation. View this paper
  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
  • You may sign up for email alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.

Articles (21)

  • Article
  • Open Access
2 Citations
2,903 Views
15 Pages

Lesion Detection in Optical Coherence Tomography with Transformer-Enhanced Detector

  • Hanya Ahmed,
  • Qianni Zhang,
  • Ferranti Wong,
  • Robert Donnan and
  • Akram Alomainy

7 November 2023

Optical coherence tomography (OCT) is an emerging imaging tool in healthcare with common applications in ophthalmology for the detection of retinal diseases and in dentistry for the early detection of tooth decay. Speckle noise is ubiquitous in OCT i...

  • Article
  • Open Access
7 Citations
3,488 Views
20 Pages

NeuroActivityToolkit—Toolbox for Quantitative Analysis of Miniature Fluorescent Microscopy Data

  • Evgenii Gerasimov,
  • Alexander Mitenev,
  • Ekaterina Pchitskaya,
  • Viacheslav Chukanov and
  • Ilya Bezprozvanny

6 November 2023

The visualization of neuronal activity in vivo is an urgent task in modern neuroscience. It allows neurobiologists to obtain a large amount of information about neuronal network architecture and connections between neurons. The miniscope technique mi...

  • Article
  • Open Access
7 Citations
4,179 Views
18 Pages

6 November 2023

Plant-parasitic nematodes (PPN), especially sedentary endoparasitic nematodes like root-knot nematodes (RKN), pose a significant threat to major crops and vegetables. They are responsible for causing substantial yield losses, leading to economic cons...

  • Article
  • Open Access
14 Citations
6,907 Views
14 Pages

Assessing Acetabular Index Angle in Infants: A Deep Learning-Based Novel Approach

  • Farmanullah Jan,
  • Atta Rahman,
  • Roaa Busaleh,
  • Haya Alwarthan,
  • Samar Aljaser,
  • Sukainah Al-Towailib,
  • Safiyah Alshammari,
  • Khadeejah Rasheed Alhindi,
  • Asrar Almogbil and
  • Dalal A. Bubshait
  • + 1 author

6 November 2023

Developmental dysplasia of the hip (DDH) is a disorder characterized by abnormal hip development that frequently manifests in infancy and early childhood. Preventing DDH from occurring relies on a timely and accurate diagnosis, which requires careful...

  • Article
  • Open Access
9 Citations
3,454 Views
12 Pages

6 November 2023

A scalable optical convolutional neural network (SOCNN) based on free-space optics and Koehler illumination was proposed to address the limitations of the previous 4f correlator system. Unlike Abbe illumination, Koehler illumination provides more uni...

  • Article
  • Open Access
8 Citations
6,999 Views
19 Pages

Detecting Deceptive Dark-Pattern Web Advertisements for Blind Screen-Reader Users

  • Satwik Ram Kodandaram,
  • Mohan Sunkara,
  • Sampath Jayarathna and
  • Vikas Ashok

6 November 2023

Advertisements have become commonplace on modern websites. While ads are typically designed for visual consumption, it is unclear how they affect blind users who interact with the ads using a screen reader. Existing research studies on non-visual web...

  • Article
  • Open Access
3 Citations
2,692 Views
39 Pages

2 November 2023

Supervised deep learning models can be optimised by applying regularisation techniques to reduce overfitting, which can prove difficult when fine tuning the associated hyperparameters. Not all hyperparameters are equal, and understanding the effect e...

  • Article
  • Open Access
3 Citations
2,277 Views
19 Pages

30 October 2023

Speckle noise has long been an extensively studied problem in medical imaging. In recent years, there have been significant advances in leveraging deep learning methods for noise reduction. Nevertheless, adaptation of supervised learning models to un...

  • Review
  • Open Access
13 Citations
5,793 Views
12 Pages

Artificial Intelligence-Based Prediction of Cardiovascular Diseases from Chest Radiography

  • Juan M. Farina,
  • Milagros Pereyra,
  • Ahmed K. Mahmoud,
  • Isabel G. Scalia,
  • Mohammed Tiseer Abbas,
  • Chieh-Ju Chao,
  • Timothy Barry,
  • Chadi Ayoub,
  • Imon Banerjee and
  • Reza Arsanjani

26 October 2023

Chest radiography (CXR) is the most frequently performed radiological test worldwide because of its wide availability, non-invasive nature, and low cost. The ability of CXR to diagnose cardiovascular diseases, give insight into cardiac function, and...

  • Article
  • Open Access
6 Citations
4,741 Views
30 Pages

Empowering Deaf-Hearing Communication: Exploring Synergies between Predictive and Generative AI-Based Strategies towards (Portuguese) Sign Language Interpretation

  • Telmo Adão,
  • João Oliveira,
  • Somayeh Shahrabadi,
  • Hugo Jesus,
  • Marco Fernandes,
  • Ângelo Costa,
  • Vânia Ferreira,
  • Martinho Fradeira Gonçalves,
  • Miguel A. Guevara Lopéz and
  • Emanuel Peres
  • + 1 author

25 October 2023

Communication between Deaf and hearing individuals remains a persistent challenge requiring attention to foster inclusivity. Despite notable efforts in the development of digital solutions for sign language recognition (SLR), several issues persist,...

of 3

Get Alerted

Add your email address to receive forthcoming issues of this journal.

XFacebookLinkedIn
J. Imaging - ISSN 2313-433X