Frontiers in Radiology

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

1,853 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

1,524 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

5,791 views
10 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

1,659 views
1 citation

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

1,431 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

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

1,063 views
1 citation

Original Research

Published on 11 Sep 2023

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

in Artificial Intelligence in Radiology

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

1,739 views
4 citations

Original Research

Published on 07 Sep 2023

Evaluating automated longitudinal tumor measurements for glioblastoma response assessment

in Artificial Intelligence in Radiology

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

2,546 views
3 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

in Artificial Intelligence in Radiology

Wenhui Zhang
Surajit Ray

Frontiers in Radiology

doi 10.3389/fradi.2023.1225215

1,461 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

2,362 views
3 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

2,630 views
4 citations

Original Research

Published on 08 Aug 2023

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

in Neuroradiology

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

Frontiers in Radiology

doi 10.3389/fradi.2023.1229921

3,961 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

in Interventional Radiology

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

2,300 views
5 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

5,353 views
5 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

5,094 views
14 citations

Original Research

Published on 03 Aug 2023

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

in Cardiothoracic Imaging

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

1,581 views
1 citation