Frontiers in Radiology | Artificial Intelligence in Radiology

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

2,493 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

3,714 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

4,514 views
14 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

8,303 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

10,127 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

2,860 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

4,227 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

3,782 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

3,285 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

4,120 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

7,722 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

3,836 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

4,818 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

10,358 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

3,568 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

4,496 views
12 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

12,289 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

2,774 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

2,741 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

3,066 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

4,388 views
11 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

3,940 views
12 citations

Original Research

Published on 11 Oct 2022

Improving disease classification performance and explainability of deep learning models in radiology with heatmap generators

in Artificial Intelligence in Radiology

Akino Watanabe
Sara Ketabi
Khashayar Namdar
Farzad Khalvati

Frontiers in Radiology

doi 10.3389/fradi.2022.991683

5,637 views
17 citations

Review

Published on 09 Sep 2022

Artificial intelligence in the pediatric echocardiography laboratory: Automation, physiology, and outcomes

in Artificial Intelligence in Radiology

Minh B. Nguyen
Olivier Villemain
Mark K. Friedberg
Lasse Lovstakken
Craig G. Rusin
Luc Mertens

Frontiers in Radiology

doi 10.3389/fradi.2022.881777

6,312 views
8 citations

114 articles

articles

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

Improving disease classification performance and explainability of deep learning models in radiology with heatmap generators

Artificial intelligence in the pediatric echocardiography laboratory: Automation, physiology, and outcomes