Frontiers in Radiology | Artificial Intelligence in Radiology

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

2,687 views
2 citations

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

4,542 views
22 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

5,373 views
3 citations

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

4,661 views
7 citations

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

2,290 views
1 citation

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

8,015 views
12 citations

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

2,205 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

11,044 views
29 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

11,813 views
31 citations

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

1,939 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

2,279 views
4 citations

Original Research

Published on 15 Feb 2024

Beyond images: an integrative multi-modal approach to chest x-ray report generation

in Artificial Intelligence in Radiology

Nurbanu Aksoy
Serge Sharoff
Selcuk Baser
Nishant Ravikumar
Alejandro F. Frangi

Frontiers in Radiology

doi 10.3389/fradi.2024.1339612

5,563 views
9 citations

Original Research

Published on 18 Jan 2024

Using a generative adversarial network to generate synthetic MRI images for multi-class automatic segmentation of brain tumors

in Artificial Intelligence in Radiology

P. Raut
G. Baldini
M. Schöneck
L. Caldeira

Frontiers in Radiology

doi 10.3389/fradi.2023.1336902

5,187 views
11 citations

Editorial

Published on 10 Jan 2024

Editorial: Recent advances in multimodal artificial intelligence for disease diagnosis, prognosis, and prevention

in Artificial Intelligence in Radiology

Hazrat Ali
Zubair Shah
Tanvir Alam
Priyantha Wijayatunga
Eyad Elyan

Frontiers in Radiology

doi 10.3389/fradi.2023.1349830

3,141 views
3 citations

Brief Research Report

Published on 08 Jan 2024

RoMIA: a framework for creating Robust Medical Imaging AI models for chest radiographs

in Artificial Intelligence in Radiology

Aditi Anand
Sarada Krithivasan
Kaushik Roy

Frontiers in Radiology

doi 10.3389/fradi.2023.1274273

2,979 views
5 citations

Review

Published on 05 Jan 2024

Empowering breast cancer diagnosis and radiology practice: advances in artificial intelligence for contrast-enhanced mammography

in Artificial Intelligence in Radiology

Ketki K. Kinkar
Brandon K. K. Fields
Mary W. Yamashita
Bino A. Varghese

Frontiers in Radiology

doi 10.3389/fradi.2023.1326831

8,081 views
13 citations

Editorial

Published on 18 Dec 2023

Editorial: Radiomics and radiogenomics in genitourinary oncology: artificial intelligence and deep learning applications

in Artificial Intelligence in Radiology

Alessandro Stefano
Elena Bertelli
Albert Comelli
Marco Gatti
Arnaldo Stanzione

Frontiers in Radiology

doi 10.3389/fradi.2023.1325594

2,460 views
3 citations

Original Research

Published on 21 Nov 2023

Radiomic analysis of the proximal femur in osteoporosis women using 3T MRI

in Artificial Intelligence in Radiology

Dimitri Martel
Anmol Monga
Gregory Chang

Frontiers in Radiology

doi 10.3389/fradi.2023.1293865

2,899 views
8 citations

Retraction

Published on 09 Nov 2023

Retraction: CT-based risk factors for mortality of patients with COVID-19 pneumonia in Wuhan, China: a retrospective study

in Artificial Intelligence in Radiology

Frontiers Editorial Office

Frontiers in Radiology

doi 10.3389/fradi.2023.1330251

7,878 views

Original Research

Published on 11 Oct 2023

Retrospective T2 quantification from conventional weighted MRI of the prostate based on deep learning

in Artificial Intelligence in Radiology

Haoran Sun
Lixia Wang
Timothy Daskivich
Shihan Qiu
Fei Han
Alessandro D'Agnolo
Rola Saouaf
Anthony G. Christodoulou
Hyung Kim
Debiao Li

Frontiers in Radiology

doi 10.3389/fradi.2023.1223377

2,880 views
6 citations

Original Research

Published on 21 Sep 2023

Selecting the best optimizers for deep learning–based medical image segmentation

in Artificial Intelligence in Radiology

Aliasghar Mortazi
Vedat Cicek
Elif Keles
Ulas Bagci

Frontiers in Radiology

doi 10.3389/fradi.2023.1175473

9,979 views
20 citations

Original Research

Published on 15 Sep 2023

AI in the Loop: functionalizing fold performance disagreement to monitor automated medical image segmentation workflows

in Artificial Intelligence in Radiology

Harrison C. Gottlich
Panagiotis Korfiatis
Adriana V. Gregory
Timothy L. Kline

Frontiers in Radiology

doi 10.3389/fradi.2023.1223294

1,777 views
1 citation

Original Research

Published on 11 Sep 2023

High angular diffusion tensor imaging estimation from minimal evenly distributed diffusion gradient directions

in Artificial Intelligence in Radiology

Zihao Tang
Sheng Chen
Arkiev D’Souza
Dongnan Liu
Fernando Calamante
Michael Barnett
Weidong Cai
Chenyu Wang
Mariano Cabezas

Frontiers in Radiology

doi 10.3389/fradi.2023.1238566

2,663 views
7 citations

Original Research

Published on 07 Sep 2023

Evaluating automated longitudinal tumor measurements for glioblastoma response assessment

in Artificial Intelligence in Radiology

Yannick Suter
Michelle Notter
Raphael Meier
Tina Loosli
Philippe Schucht
Roland Wiest
Mauricio Reyes
Urspeter Knecht

Frontiers in Radiology

doi 10.3389/fradi.2023.1211859

3,899 views
4 citations

114 articles

articles

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

Editorial: Radiomics and AI for clinical and translational medicine

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

Beyond images: an integrative multi-modal approach to chest x-ray report generation

Using a generative adversarial network to generate synthetic MRI images for multi-class automatic segmentation of brain tumors

Editorial: Recent advances in multimodal artificial intelligence for disease diagnosis, prognosis, and prevention

RoMIA: a framework for creating Robust Medical Imaging AI models for chest radiographs

Empowering breast cancer diagnosis and radiology practice: advances in artificial intelligence for contrast-enhanced mammography

Editorial: Radiomics and radiogenomics in genitourinary oncology: artificial intelligence and deep learning applications

Radiomic analysis of the proximal femur in osteoporosis women using 3T MRI

Retraction: CT-based risk factors for mortality of patients with COVID-19 pneumonia in Wuhan, China: a retrospective study

Retrospective T2 quantification from conventional weighted MRI of the prostate based on deep learning

Selecting the best optimizers for deep learning–based medical image segmentation

AI in the Loop: functionalizing fold performance disagreement to monitor automated medical image segmentation workflows

High angular diffusion tensor imaging estimation from minimal evenly distributed diffusion gradient directions

Evaluating automated longitudinal tumor measurements for glioblastoma response assessment