Frontiers in Radiology

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

2,190 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

10,012 views
20 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

2,946 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

2,378 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

1,786 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

2,673 views
7 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

3,904 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

2,503 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

3,731 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

4,543 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

6,086 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

3,671 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

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

8,425 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

10,144 views
29 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

2,336 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

3,700 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

2,870 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

Francesca Lo Iacono
Riccardo Maragna
Gianluca Pontone
Valentina D. A. Corino

Frontiers in Radiology

doi 10.3389/fradi.2023.1193046

4,241 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

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

3,792 views
1 citation

Editorial

Published on 12 Jun 2023

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

Nicoletta Anzalone
Letterio S. Politi
Massimo Caulo

Frontiers in Radiology

doi 10.3389/fradi.2023.1204517

1,700 views

Case Report

Published on 07 Jun 2023

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

Giovanni C. Santoro
Siddhant Kulkarni
Diljot Dhillon
Kenny Lien

Frontiers in Radiology

doi 10.3389/fradi.2023.1179023

3,028 views
1 citation

Original Research

Published on 02 Jun 2023

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

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

5,079 views
10 citations

Perspective

Published on 22 May 2023

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

Anjali Agrawal

Frontiers in Radiology

doi 10.3389/fradi.2023.1180699

4,030 views
6 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

Fangrong Zong
Zhaoyi You
Leqing Zhou
Xiaofeng Deng

Frontiers in Radiology

doi 10.3389/fradi.2023.1121879

3,335 views
3 citations

264 Publications

volumes

Volume 3 - 2023

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

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