Original Research

Published on 18 Jan 2024

Using a generative adversarial network to generate synthetic MRI images for multi-class automatic segmentation of brain tumors

in Artificial Intelligence in Radiology

P. Raut
G. Baldini
M. Schöneck
L. Caldeira

Frontiers in Radiology

doi 10.3389/fradi.2023.1336902

126 views

Editorial

Published on 10 Jan 2024

Editorial: Recent advances in multimodal artificial intelligence for disease diagnosis, prognosis, and prevention

in Artificial Intelligence in Radiology

Hazrat Ali
Zubair Shah
Tanvir Alam
Priyantha Wijayatunga
Eyad Elyan

Frontiers in Radiology

doi 10.3389/fradi.2023.1349830

151 views

Brief Research Report

Published on 08 Jan 2024

RoMIA: a framework for creating Robust Medical Imaging AI models for chest radiographs

in Artificial Intelligence in Radiology

Aditi Anand
Sarada Krithivasan
Kaushik Roy

Frontiers in Radiology

doi 10.3389/fradi.2023.1274273

152 views

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

222 views

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

245 views

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

476 views

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

323 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

682 views

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

1,217 views

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

471 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

647 views

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

1,024 views

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

610 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

898 views

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

839 views

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

2,005 views

Navigation group

Articles

Using a generative adversarial network to generate synthetic MRI images for multi-class automatic segmentation of brain tumors

Editorial: Recent advances in multimodal artificial intelligence for disease diagnosis, prognosis, and prevention

RoMIA: a framework for creating Robust Medical Imaging AI models for chest radiographs

Empowering breast cancer diagnosis and radiology practice: advances in artificial intelligence for contrast-enhanced mammography

Editorial: Radiomics and radiogenomics in genitourinary oncology: artificial intelligence and deep learning applications

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

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

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

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

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