Systematic Review

Published on 08 Aug 2023

Deep learning image segmentation approaches for malignant bone lesions: a systematic review and meta-analysis

in Artificial Intelligence in Radiology

Joseph M. Rich
Lokesh N. Bhardwaj
Aman Shah
Krish Gangal
Mohitha S. Rapaka
Assad A. Oberai
Brandon K. K. Fields
George R. Matcuk
Vinay A. Duddalwar

Frontiers in Radiology

doi 10.3389/fradi.2023.1241651

3,990 views
1 citation

Review

Published on 07 Aug 2023

The promise and limitations of artificial intelligence in musculoskeletal imaging

in Artificial Intelligence in Radiology

Patrick Debs
Laura M. Fayad

Frontiers in Radiology

doi 10.3389/fradi.2023.1242902

3,825 views
7 citations

Original Research

Published on 22 Jun 2023

Localization supervision of chest x-ray classifiers using label-specific eye-tracking annotation

in Artificial Intelligence in Radiology

Ricardo Bigolin Lanfredi
Joyce D. Schroeder
Tolga Tasdizen

Frontiers in Radiology

doi 10.3389/fradi.2023.1088068

1,366 views

Original Research

Published on 16 Jun 2023

A robust radiomic-based machine learning approach to detect cardiac amyloidosis using cardiac computed tomography

in Artificial Intelligence in Radiology

Francesca Lo Iacono
Riccardo Maragna
Gianluca Pontone
Valentina D. A. Corino

Frontiers in Radiology

doi 10.3389/fradi.2023.1193046

2,089 views
6 citations

Original Research

Published on 16 Jun 2023

Impact of multi-source data augmentation on performance of convolutional neural networks for abnormality classification in mammography

in Artificial Intelligence in Radiology

InChan Hwang
Hari Trivedi
Beatrice Brown-Mulry
Linglin Zhang
Vineela Nalla
Aimilia Gastounioti
Judy Gichoya
Laleh Seyyed-Kalantari
Imon Banerjee
MinJae Woo

Frontiers in Radiology

doi 10.3389/fradi.2023.1181190

2,122 views
1 citation

Brief Research Report

Published on 19 May 2023

Language function of the superior longitudinal fasciculus in patients with arteriovenous malformation as evidenced by automatic fiber quantification

in Artificial Intelligence in Radiology

Fangrong Zong
Zhaoyi You
Leqing Zhou
Xiaofeng Deng

Frontiers in Radiology

doi 10.3389/fradi.2023.1121879

1,578 views

Original Research

Published on 15 May 2023

Mouse brain MR super-resolution using a deep learning network trained with optical imaging data

in Artificial Intelligence in Radiology

Zifei Liang
Jiangyang Zhang

Frontiers in Radiology

doi 10.3389/fradi.2023.1155866

2,434 views
3 citations

Review

Published on 15 May 2023

Artificial intelligence in neuroradiology: a scoping review of some ethical challenges

in Artificial Intelligence in Radiology

Pegah Khosravi
Mark Schweitzer

Frontiers in Radiology

doi 10.3389/fradi.2023.1149461

4,060 views
6 citations

Original Research

Published on 03 May 2023

Radiomics combined with transcriptomics to predict response to immunotherapy from patients treated with PD-1/PD-L1 inhibitors for advanced NSCLC

in Artificial Intelligence in Radiology

Amine Bouhamama
Benjamin Leporq
Khuram Faraz
Jean-Philippe Foy
Maxime Boussageon
Maurice Pérol
Sandra Ortiz-Cuaran
François Ghiringhelli
Pierre Saintigny
Olivier Beuf

Frontiers in Radiology

doi 10.3389/fradi.2023.1168448

2,039 views
3 citations

Original Research

Published on 27 Apr 2023

Development of lung segmentation method in x-ray images of children based on TransResUNet

in Artificial Intelligence in Radiology

Lingdong Chen
Zhuo Yu
Jian Huang
Liqi Shu
Pekka Kuosmanen
Chen Shen
Xiaohui Ma
Jing Li
Chensheng Sun
Zheming Li

Frontiers in Radiology

doi 10.3389/fradi.2023.1190745

2,543 views
5 citations

Original Research

Published on 18 Apr 2023

uRP: An integrated research platform for one-stop analysis of medical images

in Artificial Intelligence in Radiology

Jiaojiao Wu
Yuwei Xia
Xuechun Wang
Ying Wei
Aie Liu
Arun Innanje
Meng Zheng
Lei Chen
Jing Shi
Liye Wang

Frontiers in Radiology

doi 10.3389/fradi.2023.1153784

4,660 views
32 citations

Review

Published on 17 Apr 2023

A first look into radiomics application in testicular imaging: A systematic review

in Artificial Intelligence in Radiology

Salvatore C. Fanni
Maria Febi
Leonardo Colligiani
Federica Volpi
Ilaria Ambrosini
Lorenzo Tumminello
Gayane Aghakhanyan
Giacomo Aringhieri
Dania Cioni
Emanuele Neri

Frontiers in Radiology

doi 10.3389/fradi.2023.1141499

2,046 views
4 citations

Original Research

Published on 20 Mar 2023

A radiomics approach to the diagnosis of femoroacetabular impingement

in Artificial Intelligence in Radiology

Eros Montin
Richard Kijowski
Thomas Youm
Riccardo Lattanzi

Frontiers in Radiology

doi 10.3389/fradi.2023.1151258

2,344 views
6 citations

Mini Review

Published on 20 Feb 2023

Application of artificial intelligence in predicting lymph node metastasis in breast cancer

in Artificial Intelligence in Radiology

Gabrielle O. Windsor
Harrison Bai
Ana P. Lourenco
Zhicheng Jiao

Frontiers in Radiology

doi 10.3389/fradi.2023.928639

3,662 views
7 citations

Opinion

Published on 30 Jan 2023

How should studies using AI be reported? lessons from a systematic review in cardiac MRI

in Artificial Intelligence in Radiology

Ahmed Maiter
Mahan Salehi
Andrew J. Swift
Samer Alabed

Frontiers in Radiology

doi 10.3389/fradi.2023.1112841

1,421 views
5 citations

Editorial

Published on 06 Jan 2023

Editorial: Advances in deep learning methods for medical image analysis

in Artificial Intelligence in Radiology

Heung-Il Suk
Mingxia Liu
Xiaohuan Cao
Jaeil Kim

Frontiers in Radiology

doi 10.3389/fradi.2022.1097533

1,341 views
2 citations

Navigation group

Articles

Deep learning image segmentation approaches for malignant bone lesions: a systematic review and meta-analysis

The promise and limitations of artificial intelligence in musculoskeletal imaging

Localization supervision of chest x-ray classifiers using label-specific eye-tracking annotation

A robust radiomic-based machine learning approach to detect cardiac amyloidosis using cardiac computed tomography

Impact of multi-source data augmentation on performance of convolutional neural networks for abnormality classification in mammography

Language function of the superior longitudinal fasciculus in patients with arteriovenous malformation as evidenced by automatic fiber quantification

Mouse brain MR super-resolution using a deep learning network trained with optical imaging data

Artificial intelligence in neuroradiology: a scoping review of some ethical challenges

Radiomics combined with transcriptomics to predict response to immunotherapy from patients treated with PD-1/PD-L1 inhibitors for advanced NSCLC

Development of lung segmentation method in x-ray images of children based on TransResUNet

uRP: An integrated research platform for one-stop analysis of medical images

A first look into radiomics application in testicular imaging: A systematic review

A radiomics approach to the diagnosis of femoroacetabular impingement

Application of artificial intelligence in predicting lymph node metastasis in breast cancer

How should studies using AI be reported? lessons from a systematic review in cardiac MRI

Editorial: Advances in deep learning methods for medical image analysis