Frontiers in Radiology

Original Research

Published on 01 Dec 2023

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

1,885 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

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

2,469 views
5 citations

Original Research

Published on 21 Nov 2023

Radiomic analysis of the proximal femur in osteoporosis women using 3T MRI

Dimitri Martel
Anmol Monga
Gregory Chang

Frontiers in Radiology

doi 10.3389/fradi.2023.1293865

2,672 views
8 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

Frontiers Editorial Office

Frontiers in Radiology

doi 10.3389/fradi.2023.1330251

4,923 views

Original Research

Published on 31 Oct 2023

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

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

3,185 views
5 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

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

2,708 views

Original Research

Published on 11 Oct 2023

Retrospective T2 quantification from conventional weighted MRI of the prostate based on deep learning

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

2,675 views
5 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

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

2,044 views
1 citation

Original Research

Published on 21 Sep 2023

Selecting the best optimizers for deep learning–based medical image segmentation

Aliasghar Mortazi
Vedat Cicek
Elif Keles
Ulas Bagci

Frontiers in Radiology

doi 10.3389/fradi.2023.1175473

9,468 views
18 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

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

2,686 views
2 citations

Original Research

Published on 18 Sep 2023

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

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

2,174 views
2 citations

Original Research

Published on 15 Sep 2023

AI in the Loop: functionalizing fold performance disagreement to monitor automated medical image segmentation workflows

Harrison C. Gottlich
Panagiotis Korfiatis
Adriana V. Gregory
Timothy L. Kline

Frontiers in Radiology

doi 10.3389/fradi.2023.1223294

1,621 views
1 citation

Original Research

Published on 11 Sep 2023

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

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

2,476 views
6 citations

Original Research

Published on 07 Sep 2023

Evaluating automated longitudinal tumor measurements for glioblastoma response assessment

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

3,569 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

Wenhui Zhang
Surajit Ray

Frontiers in Radiology

doi 10.3389/fradi.2023.1225215

2,261 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

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

3,496 views
5 citations

Mini Review

Published on 24 Aug 2023

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

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

4,102 views
14 citations

Original Research

Published on 08 Aug 2023

Anterior inferior cerebellar artery (AICA) aneurysms: a radiological study of 15 consecutive patients

Sajjad Muhammad
Ahmad Hafez
Hanna Kaukovalta
Behnam Rezai Jahromi
Riku Kivisaari
Daniel Hänggi
Mika Niemelä

Frontiers in Radiology

doi 10.3389/fradi.2023.1229921

5,644 views
3 citations

Original Research

Published on 08 Aug 2023

Preoperative prediction of lymphovascular invasion of colorectal cancer by radiomics based on 18F-FDG PET-CT and clinical factors

Yan Yang
Huanhuan Wei
Fangfang Fu
Wei Wei
Yaping Wu
Yan Bai
Qing Li
Meiyun Wang

Frontiers in Radiology

doi 10.3389/fradi.2023.1212382

3,407 views
13 citations

Systematic Review

Published on 08 Aug 2023

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

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

7,431 views
13 citations

Review

Published on 07 Aug 2023

The promise and limitations of artificial intelligence in musculoskeletal imaging

Patrick Debs
Laura M. Fayad

Frontiers in Radiology

doi 10.3389/fradi.2023.1242902

9,679 views
27 citations

Original Research

Published on 03 Aug 2023

Layer-specific strain in patients with cardiac amyloidosis using tissue tracking MR

Zheng Li
Cheng Yan
Guo-Xiang Hu
Rui Zhao
Hang Jin
Hong Yun
Zheng Wei
Cui-Zhen Pan
Xian-Hong Shu
Meng-Su Zeng

Frontiers in Radiology

doi 10.3389/fradi.2023.1115527

2,200 views
1 citation

Original Research

Published on 11 Jul 2023

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

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

3,341 views
3 citations

Original Research

Published on 22 Jun 2023

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

Ricardo Bigolin Lanfredi
Joyce D. Schroeder
Tolga Tasdizen

Frontiers in Radiology

doi 10.3389/fradi.2023.1088068

2,683 views
2 citations

247 Publications

volumes

Volume 3 - 2023

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

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

Radiomic analysis of the proximal femur in osteoporosis women using 3T MRI

Retraction: CT-based risk factors for mortality of patients with COVID-19 pneumonia in Wuhan, China: a retrospective study

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

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

Retrospective T2 quantification from conventional weighted MRI of the prostate based on deep learning

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

Selecting the best optimizers for deep learning–based medical image segmentation

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

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

AI in the Loop: functionalizing fold performance disagreement to monitor automated medical image segmentation workflows

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

Anterior inferior cerebellar artery (AICA) aneurysms: a radiological study of 15 consecutive patients

Preoperative prediction of lymphovascular invasion of colorectal cancer by radiomics based on 18F-FDG PET-CT and clinical factors

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

Layer-specific strain in patients with cardiac amyloidosis using tissue tracking MR

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