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

3,062 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

5,952 views
4 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

969 views
1 citation

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

1,128 views

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

1,788 views
1 citation

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

2,458 views
3 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

1,542 views
1 citation

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

1,229 views
1 citation

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

3,836 views
4 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

1,337 views
1 citation

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

1,503 views
2 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

965 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

1,529 views
1 citation

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

4,683 views
4 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

904 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

1,463 views
1 citation

Navigation group

Articles

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