Frontiers in Radiology

Original Research

Published on 11 Jul 2023

Accelerating voxelwise annotation of cross-sectional imaging through AI collaborative labeling with quality assurance and bias mitigation

in Emergency Radiology

David Dreizin
Lei Zhang
Nathan Sarkar
Uttam K. Bodanapally
Guang Li
Jiazhen Hu
Haomin Chen
Mustafa Khedr
Udit Khetan
Peter Campbell

Frontiers in Radiology

doi 10.3389/fradi.2023.1202412

1,635 views
1 citation

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

1,503 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

2,313 views
8 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

2,277 views
1 citation

Editorial

Published on 12 Jun 2023

Editorial: Untangling post-treatment follow up of brain tumors: the role of neuroimaging

in Neuroradiology

Nicoletta Anzalone
Letterio S. Politi
Massimo Caulo

Frontiers in Radiology

doi 10.3389/fradi.2023.1204517

815 views

Case Report

Published on 07 Jun 2023

Case report: Basivertebral nerve block during vertebral augmentation: an alternative approach to intraprocedural pain management

in Interventional Radiology

Giovanni C. Santoro
Siddhant Kulkarni
Diljot Dhillon
Kenny Lien

Frontiers in Radiology

doi 10.3389/fradi.2023.1179023

1,870 views

Original Research

Published on 02 Jun 2023

Deep learning-based left ventricular segmentation demonstrates improved performance on respiratory motion-resolved whole-heart reconstructions

in Cardiothoracic Imaging

Yitong Yang
Zahraw Shah
Athira J. Jacob
Jackson Hair
Teodora Chitiboi
Tiziano Passerini
Jerome Yerly
Lorenzo Di Sopra
Davide Piccini
Zahra Hosseini

Frontiers in Radiology

doi 10.3389/fradi.2023.1144004

2,079 views
4 citations

Perspective

Published on 22 May 2023

Digital transformation of career landscapes in radiology: personal and professional implications

in Emergency Radiology

Anjali Agrawal

Frontiers in Radiology

doi 10.3389/fradi.2023.1180699

2,206 views
2 citations

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

1,689 views

Case Report

Published on 18 May 2023

Case report: ultrasound assisted catheter directed thrombolysis of an embolic partial occlusion of the superior mesenteric artery

in Interventional Radiology

Simone Bongiovanni
Marco Bozzolo
Simone Amabile
Enrico Peano
Alberto Balderi

Frontiers in Radiology

doi 10.3389/fradi.2023.1167901

1,329 views

Original Research

Published on 18 May 2023

A detailed dosimetric comparative study of IMRT and VMAT in normal brain tissues for nasopharyngeal carcinoma patients treated with radiotherapy

in Interventional Radiology

Kainan Shao
Shuang Zheng
Yajuan Wang
Xue Bai
Hongying Luo
Fenglei Du

Frontiers in Radiology

doi 10.3389/fradi.2023.1190763

1,540 views
2 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

4,546 views
6 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

2,668 views
3 citations

Original Research

Published on 09 May 2023

Translumbar type II endoleak embolization with a new liquid iodinated polyvinyl alcohol polymer: Case series and review of current literature

in Interventional Radiology

Giovanni Leati
Francesco Di Bartolomeo
Gabriele Maffi
Luca Boccalon
Domenico Diaco
Edoardo Segalini
Angelo Spinazzola

Frontiers in Radiology

doi 10.3389/fradi.2023.1145164

2,135 views

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

2,262 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

2,888 views
5 citations

Navigation group

Articles

Accelerating voxelwise annotation of cross-sectional imaging through AI collaborative labeling with quality assurance and bias mitigation

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

Editorial: Untangling post-treatment follow up of brain tumors: the role of neuroimaging

Case report: Basivertebral nerve block during vertebral augmentation: an alternative approach to intraprocedural pain management

Deep learning-based left ventricular segmentation demonstrates improved performance on respiratory motion-resolved whole-heart reconstructions

Digital transformation of career landscapes in radiology: personal and professional implications

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

Case report: ultrasound assisted catheter directed thrombolysis of an embolic partial occlusion of the superior mesenteric artery

A detailed dosimetric comparative study of IMRT and VMAT in normal brain tissues for nasopharyngeal carcinoma patients treated with radiotherapy

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

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

Translumbar type II endoleak embolization with a new liquid iodinated polyvinyl alcohol polymer: Case series and review of current literature

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