Frontiers in Radiology

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

4,784 views
9 citations

Mini Review

Published on 05 Jan 2024

Imaging spectrum of amyloid-related imaging abnormalities associated with aducanumab immunotherapy

in Neuroradiology

Houman Sotoudeh
Mohammadreza Alizadeh
Ramin Shahidi
Parnian Shobeiri
Zahra Saadatpour
C. Austin Wheeler
Marissa Natelson Love
Manoj Tanwar

Frontiers in Radiology

doi 10.3389/fradi.2023.1305390

3,260 views
2 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

1,562 views
2 citations

Review

Published on 13 Dec 2023

Standardized brain tumor imaging protocols for clinical trials: current recommendations and tips for integration

in Neuroradiology

Francesco Sanvito
Timothy J. Kaufmann
Timothy F. Cloughesy
Patrick Y. Wen
Benjamin M. Ellingson

Frontiers in Radiology

doi 10.3389/fradi.2023.1267615

4,660 views
11 citations

Original Research

Published on 01 Dec 2023

Feasibility of four-dimensional similarity filter for radiation dose reduction in dynamic myocardial computed tomography perfusion imaging

in Cardiothoracic Imaging

Yuta Yamamoto
Yuki Tanabe
Akira Kurata
Shuhei Yamamoto
Tomoyuki Kido
Teruyoshi Uetani
Shuntaro Ikeda
Shota Nakano
Osamu Yamaguchi
Teruhito Kido

Frontiers in Radiology

doi 10.3389/fradi.2023.1214521

1,091 views
1 citation

Original Research

Published on 27 Nov 2023

Factors affecting the labelling accuracy of brain MRI studies relevant for deep learning abnormality detection

in Neuroradiology

Matthew Benger
David A. Wood
Sina Kafiabadi
Aisha Al Busaidi
Emily Guilhem
Jeremy Lynch
Matthew Townend
Antanas Montvila
Juveria Siddiqui
Naveen Gadapa

Frontiers in Radiology

doi 10.3389/fradi.2023.1251825

1,577 views
4 citations

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

1,790 views
3 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

1,183 views

Original Research

Published on 31 Oct 2023

Role of computed tomography in the evaluation of regional metastasis in well-differentiated thyroid cancer

in Neuroradiology

Richa Vaish
Abhishek Mahajan
Nilesh Sable
Rohit Dusane
Anuja Deshmukh
Munita Bal
Anil K. D’cruz

Frontiers in Radiology

doi 10.3389/fradi.2023.1243000

2,087 views
3 citations

Case Report

Published on 25 Oct 2023

Case Report: Radiation necrosis mimicking tumor progression in a patient with extranodal natural killer/T-cell lymphoma

in Emergency Radiology

Boxiao Chen
Yili Fan
Luyao Wang
Jiawei Zhang
Dijia Xin
Xi Qiu
Huawei Jiang
Baizhou Li
Qin Chen
Chao Wang

Frontiers in Radiology

doi 10.3389/fradi.2023.1257565

1,684 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

1,777 views
2 citations

Original Research

Published on 28 Sep 2023

Quantitative myelin water imaging using short TR adiabatic inversion recovery prepared echo-planar imaging (STAIR-EPI) sequence

in Neuroradiology

Hamidreza Shaterian Mohammadi
Dina Moazamian
Jiyo S. Athertya
Soo Hyun Shin
James Lo
Arya Suprana
Bhavsimran S. Malhi
Yajun Ma

Frontiers in Radiology

doi 10.3389/fradi.2023.1263491

1,470 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

5,446 views
9 citations

Original Research

Published on 21 Sep 2023

Utilization of a two-material decomposition from a single-source, dual-energy CT in acute traumatic vertebral fractures

in Emergency Radiology

Patrick Tivnan
Artem Kaliaev
Stephan W. Anderson
Christina A. LeBedis
Baojun Li
V. Carlota Andreu-Arasa

Frontiers in Radiology

doi 10.3389/fradi.2023.1187449

1,536 views

Original Research

Published on 18 Sep 2023

Hematocrit and lactate trends help predict outcomes in trauma independent of CT and other clinical parameters

in Emergency Radiology

Pedro V. Staziaki
Muhammad M. Qureshi
Aaron Maybury
Neha R. Gangasani
Christina A. LeBedis
Gustavo A. Mercier
Stephan W. Anderson

Frontiers in Radiology

doi 10.3389/fradi.2023.1186277

1,313 views
1 citation

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

1,031 views
1 citation