Original Research

Accepted on 22 Nov 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 Obmann
Florian Dammann
Walter Senn
Mauricio Reyes

Frontiers in Radiology

doi 10.3389/fradi.2024.1420545

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

136 views

Original Research

Accepted on 12 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

Original Research

Accepted on 04 Nov 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 Savellano Dumbrique
Reynan Hernandez
Juan Miguel Cruz
Marc Ryan Pagdanganan
Prospero Naval, Jr.

Frontiers in Radiology

doi 10.3389/fradi.2024.1424065

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

1,080 views

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

848 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

1,317 views

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

1,541 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

1,196 views

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

952 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

2,795 views
1 citation

Original Research

Published on 05 Apr 2024

Fusion of biomedical imaging studies for increased sample size and diversity: a case study of brain MRI

in Artificial Intelligence in Radiology

Matias Aiskovich
Eduardo Castro
Jenna M. Reinen
Shreyas Fadnavis
Anushree Mehta
Hongyang Li
Amit Dhurandhar
Guillermo A. Cecchi
Pablo Polosecki

Frontiers in Radiology

doi 10.3389/fradi.2024.1283392

1,086 views

Systematic Review

Published on 27 Mar 2024

A systematic literature review: deep learning techniques for synthetic medical image generation and their applications in radiotherapy

in Artificial Intelligence in Radiology

Moiz Khan Sherwani
Shyam Gopalakrishnan

Frontiers in Radiology

doi 10.3389/fradi.2024.1385742

2,496 views
2 citations

Review

Published on 23 Feb 2024

Surviving ChatGPT in healthcare

in Artificial Intelligence in Radiology

Zhengliang Liu
Lu Zhang
Zihao Wu
Xiaowei Yu
Chao Cao
Haixing Dai
Ninghao Liu
Jun Liu
Wei Liu
Quanzheng Li

Frontiers in Radiology

doi 10.3389/fradi.2023.1224682

5,290 views
4 citations

Original Research

Published on 19 Feb 2024

Deep-learning for automated detection of MSU deposits on DECT: evaluating impact on efficiency and reader confidence

in Artificial Intelligence in Radiology

Shahriar Faghani
Soham Patel
Nicholas G. Rhodes
Garret M. Powell
Francis I. Baffour
Mana Moassefi
Katrina N. Glazebrook
Bradley J. Erickson
Christin A. Tiegs-Heiden

Frontiers in Radiology

doi 10.3389/fradi.2024.1330399

1,053 views

Editorial

Published on 19 Feb 2024

Editorial: Radiomics and AI for clinical and translational medicine

in Artificial Intelligence in Radiology

Eros Montin
Valentina D. A. Corino
Dimitri Martel
Giuseppe Carlucci
Davide Scaramuzza

Frontiers in Radiology

doi 10.3389/fradi.2024.1375443

902 views
1 citation

Navigation group

Articles

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

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

Language Task-based fMRI Analysis using Machine Learning and Deep Learning

Pneumothorax Detection and Segmentation from Chest X-ray Radiographs using a Patch-based Fully Convolutional Encoder-Decoder Network

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

Fusion of biomedical imaging studies for increased sample size and diversity: a case study of brain MRI

A systematic literature review: deep learning techniques for synthetic medical image generation and their applications in radiotherapy

Surviving ChatGPT in healthcare

Deep-learning for automated detection of MSU deposits on DECT: evaluating impact on efficiency and reader confidence

Editorial: Radiomics and AI for clinical and translational medicine