Frontiers in Radiology | Artificial Intelligence in Radiology

Original Research

Accepted on 10 Mar 2025

Deep Learning-Based Automated Segmentation and Quantification of the Dural Sac Cross-Sectional Area in Lumbar Spine MRI

in Artificial Intelligence in Radiology

George Ghobrial
PD Dr. Christian Roth

Frontiers in Radiology

doi 10.3389/fradi.2025.1503625

Editorial

Published on 29 Jan 2025

Editorial: Artificial intelligence applications for cancer diagnosis in radiology

in Artificial Intelligence in Radiology

Abhirup Banerjee
Hongming Shan
Ruibin Feng

Frontiers in Radiology

doi 10.3389/fradi.2025.1493783

912 views

Review

Published on 13 Jan 2025

Current state and promise of user-centered design to harness explainable AI in clinical decision-support systems for patients with CNS tumors

in Artificial Intelligence in Radiology

Eric W. Prince
David M. Mirsky
Todd C. Hankinson
Carsten Görg

Frontiers in Radiology

doi 10.3389/fradi.2024.1433457

777 views

Original Research

Published on 19 Dec 2024

DreamOn: a data augmentation strategy to narrow the robustness gap between expert radiologists and deep learning classifiers

in Artificial Intelligence in Radiology

Luc Lerch
Lukas S. Huber
Amith Kamath
Alexander Pöllinger
Aurélie Pahud de Mortanges
Verena C. Obmann
Florian Dammann
Walter Senn
Mauricio Reyes

Frontiers in Radiology

doi 10.3389/fradi.2024.1420545

724 views

Editorial

Published on 17 Dec 2024

Editorial: Advances in artificial intelligence and machine learning applications for the imaging of bone and soft tissue tumors

in Artificial Intelligence in Radiology

Brandon K. K. Fields
Bino A. Varghese
George R. Matcuk

Frontiers in Radiology

doi 10.3389/fradi.2024.1523389

569 views

Original Research

Published on 16 Dec 2024

Synthesis of MR fingerprinting information from magnitude-only MR imaging data using a parallelized, multi network U-Net convolutional neural network

in Artificial Intelligence in Radiology

Kiaran P. McGee
Yi Sui
Robert J. Witte
Ananya Panda
Norbert G. Campeau
Thomaz R. Mostardeiro
Nahil Sobh
Umberto Ravaioli
Shuyue (Lucia) Zhang
Kianoush Falahkheirkhah

Frontiers in Radiology

doi 10.3389/fradi.2024.1498411

729 views

Original Research

Published on 11 Dec 2024

Pneumothorax detection and segmentation from chest X-ray radiographs using a patch-based fully convolutional encoder-decoder network

in Artificial Intelligence in Radiology

Jakov Ivan S. Dumbrique
Reynan B. Hernandez
Juan Miguel L. Cruz
Ryan M. Pagdanganan
Prospero C. Naval

Frontiers in Radiology

doi 10.3389/fradi.2024.1424065

730 views

Original Research

Published on 27 Nov 2024

Language task-based fMRI analysis using machine learning and deep learning

in Artificial Intelligence in Radiology

Elaine Kuan
Viktor Vegh
John Phamnguyen
Kieran O’Brien
Amanda Hammond
David Reutens

Frontiers in Radiology

doi 10.3389/fradi.2024.1495181

763 views

Original Research

Published on 21 Nov 2024

SenseCare: a research platform for medical image informatics and interactive 3D visualization

in Artificial Intelligence in Radiology

Guotai Wang
Qi Duan
Tian Shen
Shaoting Zhang

Frontiers in Radiology

doi 10.3389/fradi.2024.1460889

748 views

Review

Published on 05 Sep 2024

Artificial intelligence and machine learning applications for the imaging of bone and soft tissue tumors

in Artificial Intelligence in Radiology

Paniz Sabeghi
Ketki K. Kinkar
Gloria del Rosario Castaneda
Liesl S. Eibschutz
Brandon K. K. Fields
Bino A. Varghese
Dakshesh B. Patel
Ali Gholamrezanezhad

Frontiers in Radiology

doi 10.3389/fradi.2024.1332535

1,776 views
1 citation

Original Research

Published on 29 Aug 2024

Modular GAN: positron emission tomography image reconstruction using two generative adversarial networks

in Artificial Intelligence in Radiology

Rajat Vashistha
Viktor Vegh
Hamed Moradi
Amanda Hammond
Kieran O’Brien
David Reutens

Frontiers in Radiology

doi 10.3389/fradi.2024.1466498

1,225 views

Original Research

Published on 05 Jul 2024

ChatGPT yields low accuracy in determining LI-RADS scores based on free-text and structured radiology reports in German language

in Artificial Intelligence in Radiology

Philipp Fervers
Robert Hahnfeldt
Jonathan Kottlors
Anton Wagner
David Maintz
Daniel Pinto dos Santos
Simon Lennartz
Thorsten Persigehl

Frontiers in Radiology

doi 10.3389/fradi.2024.1390774

1,955 views
3 citations

Original Research

Published on 04 Jun 2024

Automated intracranial vessel segmentation of 4D flow MRI data in patients with atherosclerotic stenosis using a convolutional neural network

in Artificial Intelligence in Radiology

Patrick Winter
Haben Berhane
Jackson E. Moore
Maria Aristova
Teresa Reichl
Julian Wollenberg
Adam Richter
Kelly B. Jarvis
Abhinav Patel
Fan Z. Caprio

Frontiers in Radiology

doi 10.3389/fradi.2024.1385424

2,646 views

Original Research

Published on 22 May 2024

Standardized evaluation of the extent of resection in glioblastoma with automated early post-operative segmentation

in Artificial Intelligence in Radiology

Lidia Luque
Karoline Skogen
Bradley J. MacIntosh
Kyrre E. Emblem
Christopher Larsson
David Bouget
Ragnhild Holden Helland
Ingerid Reinertsen
Ole Solheim
Till Schellhorn

Frontiers in Radiology

doi 10.3389/fradi.2024.1357341

1,703 views
1 citation

Original Research

Published on 21 May 2024

Multi-centre benchmarking of deep learning models for COVID-19 detection in chest x-rays

in Artificial Intelligence in Radiology

Rachael Harkness
Alejandro F. Frangi
Kieran Zucker
Nishant Ravikumar

Frontiers in Radiology

doi 10.3389/fradi.2024.1386906

1,120 views

Systematic Review

Published on 09 Apr 2024

A systematic review of artificial intelligence tools for chronic pulmonary embolism on CT pulmonary angiography

in Artificial Intelligence in Radiology

Lojain Abdulaal
Ahmed Maiter
Mahan Salehi
Michael Sharkey
Turki Alnasser
Pankaj Garg
Smitha Rajaram
Catherine Hill
Christopher Johns
Alex Matthew Knox Rothman

Frontiers in Radiology

doi 10.3389/fradi.2024.1335349

4,041 views
2 citations

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Articles

Deep Learning-Based Automated Segmentation and Quantification of the Dural Sac Cross-Sectional Area in Lumbar Spine MRI

Editorial: Artificial intelligence applications for cancer diagnosis in radiology

Current state and promise of user-centered design to harness explainable AI in clinical decision-support systems for patients with CNS tumors

DreamOn: a data augmentation strategy to narrow the robustness gap between expert radiologists and deep learning classifiers

Editorial: Advances in artificial intelligence and machine learning applications for the imaging of bone and soft tissue tumors

Synthesis of MR fingerprinting information from magnitude-only MR imaging data using a parallelized, multi network U-Net convolutional neural network

Pneumothorax detection and segmentation from chest X-ray radiographs using a patch-based fully convolutional encoder-decoder network

Language task-based fMRI analysis using machine learning and deep learning

SenseCare: a research platform for medical image informatics and interactive 3D visualization

Artificial intelligence and machine learning applications for the imaging of bone and soft tissue tumors

Modular GAN: positron emission tomography image reconstruction using two generative adversarial networks

ChatGPT yields low accuracy in determining LI-RADS scores based on free-text and structured radiology reports in German language

Automated intracranial vessel segmentation of 4D flow MRI data in patients with atherosclerotic stenosis using a convolutional neural network

Standardized evaluation of the extent of resection in glioblastoma with automated early post-operative segmentation

Multi-centre benchmarking of deep learning models for COVID-19 detection in chest x-rays

A systematic review of artificial intelligence tools for chronic pulmonary embolism on CT pulmonary angiography