Frontiers in Radiology | Artificial Intelligence in Radiology

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

2,686 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

3,914 views
4 citations

Original Research

Published on 05 Sep 2023

From coarse to fine: a deep 3D probability volume contours framework for tumour segmentation and dose painting in PET images

in Artificial Intelligence in Radiology

Wenhui Zhang
Surajit Ray

Frontiers in Radiology

doi 10.3389/fradi.2023.1225215

2,511 views

Original Research

Published on 04 Sep 2023

Retrospective quantification of clinical abdominal DCE-MRI using pharmacokinetics-informed deep learning: a proof-of-concept study

in Artificial Intelligence in Radiology

Chaowei Wu
Nan Wang
Srinivas Gaddam
Lixia Wang
Hui Han
Kyunghyun Sung
Anthony G. Christodoulou
Yibin Xie
Stephen Pandol
Debiao Li

Frontiers in Radiology

doi 10.3389/fradi.2023.1168901

3,738 views
5 citations

Mini Review

Published on 24 Aug 2023

Spatial assessments in texture analysis: what the radiologist needs to know

in Artificial Intelligence in Radiology

Bino A. Varghese
Brandon K. K. Fields
Darryl H. Hwang
Vinay A. Duddalwar
George R. Matcuk
Steven Y. Cen

Frontiers in Radiology

doi 10.3389/fradi.2023.1240544

4,561 views
15 citations

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

8,442 views
13 citations

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

10,165 views
29 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

2,876 views
2 citations

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

4,255 views
12 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

3,800 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

3,347 views
3 citations

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

4,151 views
4 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

7,757 views
15 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

3,849 views
7 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

4,840 views
12 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

10,418 views
127 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

3,587 views
10 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

4,523 views
13 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

12,336 views
12 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

2,786 views
9 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

2,757 views
5 citations

Original Research

Published on 21 Dec 2022

Relevance maps: A weakly supervised segmentation method for 3D brain tumours in MRIs

in Artificial Intelligence in Radiology

Sajith Rajapaksa
Farzad Khalvati

Frontiers in Radiology

doi 10.3389/fradi.2022.1061402

3,078 views
5 citations

Original Research

Published on 15 Dec 2022

Robust and accurate pulmonary nodule detection with self-supervised feature learning on domain adaptation

in Artificial Intelligence in Radiology

Jingya Liu
Liangliang Cao
Oguz Akin
Yingli Tian

Frontiers in Radiology

doi 10.3389/fradi.2022.1041518

4,420 views
12 citations

Original Research

Published on 30 Nov 2022

Adversarial counterfactual augmentation: application in Alzheimer’s disease classification

in Artificial Intelligence in Radiology

Tian Xia
Pedro Sanchez
Chen Qin
Sotirios A. Tsaftaris

Frontiers in Radiology

doi 10.3389/fradi.2022.1039160

3,957 views
12 citations

116 articles

articles

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

Evaluating automated longitudinal tumor measurements for glioblastoma response assessment

From coarse to fine: a deep 3D probability volume contours framework for tumour segmentation and dose painting in PET images

Retrospective quantification of clinical abdominal DCE-MRI using pharmacokinetics-informed deep learning: a proof-of-concept study

Spatial assessments in texture analysis: what the radiologist needs to know

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

Relevance maps: A weakly supervised segmentation method for 3D brain tumours in MRIs

Robust and accurate pulmonary nodule detection with self-supervised feature learning on domain adaptation

Adversarial counterfactual augmentation: application in Alzheimer’s disease classification