Run Length Matrix | List of Frontiers open access articles

Original Research

Published on 29 Mar 2016

Relationship between the Temporal Changes in Positron-Emission-Tomography-Imaging-Based Textural Features and Pathologic Response and Survival in Esophageal Cancer Patients

in Radiation Oncology

Stephen S. F. Yip
Thibaud P. Coroller
Nina N. Sanford
Harvey Mamon
Hugo J. W. L. Aerts
Ross I. Berbeco

Frontiers in Oncology

doi 10.3389/fonc.2016.00072

6,488 views
55 citations

Original Research

Published on 07 Jan 2022

Dynamic PET Imaging Using Dual Texture Features

Zhanglei Ouyang
Shujun Zhao
Zhaoping Cheng
Yanhua Duan
Zixiang Chen
Na Zhang
Dong Liang
Zhanli Hu

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2021.819840

3,942 views
5 citations

Original Research

Published on 23 Apr 2024

Radiomic biomarkers of locoregional recurrence: prognostic insights from oral cavity squamous cell carcinoma preoperative CT scans

in Cancer Imaging and Image-directed Interventions

Xiao Ling
Gregory S. Alexander
Jason Molitoris
Jinhyuk Choi
Lisa Schumaker
Phuoc Tran
Ranee Mehra
Daria Gaykalova
Lei Ren

Frontiers in Oncology

doi 10.3389/fonc.2024.1380599

2,962 views
11 citations

Original Research

Published on 12 Apr 2019

Dosiomics: Extracting 3D Spatial Features From Dose Distribution to Predict Incidence of Radiation Pneumonitis

in Radiation Oncology

Bin Liang
Hui Yan
Yuan Tian
Xinyuan Chen
Lingling Yan
Tao Zhang
Zongmei Zhou
Lvhua Wang
Jianrong Dai

Frontiers in Oncology

doi 10.3389/fonc.2019.00269

14,208 views
165 citations

Systematic Review

Published on 14 Feb 2024

Radiomics for differentiation of gliomas from primary central nervous system lymphomas: a systematic review and meta-analysis

in Neuro-Oncology and Neurosurgical Oncology

Alexandru Garaba
Nummra Aslam
Francesco Ponzio
Pier Paolo Panciani
Waleed Brinjikji
Marco Fontanella
Lucio De Maria

Frontiers in Oncology

doi 10.3389/fonc.2024.1291861

2,992 views
4 citations

Original Research

Published on 17 Apr 2025

Classification of collagen remodeling in asthma using second-harmonic generation imaging, supervised machine learning and texture-based analysis

in Computational BioImaging

Natasha N. Kunchur
Joshua J. A. Poole
Jesse Levine
Tillie-Louise Hackett
Rebecca Thornhill
Leila B. Mostaço-Guidolin

Frontiers in Bioinformatics

doi 10.3389/fbinf.2025.1539936

2,682 views

Original Research

Published on 04 Jan 2022

Comparison of Comprehensive Morphological and Radiomics Features of Subsolid Pulmonary Nodules to Distinguish Minimally Invasive Adenocarcinomas and Invasive Adenocarcinomas in CT Scan

in Cancer Imaging and Image-directed Interventions

Lu Qiu
Xiuping Zhang
Haixia Mao
Xiangming Fang
Wei Ding
Lun Zhao
Hongwei Chen

Frontiers in Oncology

doi 10.3389/fonc.2021.691112

3,276 views
9 citations

Original Research

Published on 18 Oct 2021

MRI-Based Machine Learning in Differentiation Between Benign and Malignant Breast Lesions

in Cancer Imaging and Image-directed Interventions

Yanjie Zhao
Rong Chen
Ting Zhang
Chaoyue Chen
Muhetaer Muhelisa
Jingting Huang
Yan Xu
Xuelei Ma

Frontiers in Oncology

doi 10.3389/fonc.2021.552634

4,923 views
18 citations

Original Research

Published on 19 May 2022

Prediction Breast Molecular Typing of Invasive Ductal Carcinoma Based on Dynamic Contrast Enhancement Magnetic Resonance Imaging Radiomics Characteristics: A Feasibility Study

in Cancer Imaging and Image-directed Interventions

Aqiao Xu
Xiufeng Chu
Shengjian Zhang
Jing Zheng
Dabao Shi
Shasha Lv
Feng Li
Xiaobo Weng

Frontiers in Oncology

doi 10.3389/fonc.2022.799232

5,652 views
8 citations

Original Research

Published on 20 Jun 2022

Radiomics-Based Machine Learning Models for Predicting P504s/P63 Immunohistochemical Expression: A Noninvasive Diagnostic Tool for Prostate Cancer

in Cancer Imaging and Image-directed Interventions

Yun-Fan Liu
Xin Shu
Xiao-Feng Qiao
Guang-Yong Ai
Li Liu
Jun Liao
Shuang Qian
Xiao-Jing He

Frontiers in Oncology

doi 10.3389/fonc.2022.911426

4,011 views
18 citations

Original Research

Published on 15 Jan 2026

Radiomics-based optimization of target selection in CT-guided percutaneous lung cancer biopsy: a retrospective study

in Cancer Imaging and Image-directed Interventions

JiWu Wang
ZeMing Zhang
XiaoDong Liu
XinYu Wang
YaoKang Chen
Jin Liu

Frontiers in Oncology

doi 10.3389/fonc.2025.1701146

678 views

Articles

Relationship between the Temporal Changes in Positron-Emission-Tomography-Imaging-Based Textural Features and Pathologic Response and Survival in Esophageal Cancer Patients

Dynamic PET Imaging Using Dual Texture Features

Radiomic biomarkers of locoregional recurrence: prognostic insights from oral cavity squamous cell carcinoma preoperative CT scans

Dosiomics: Extracting 3D Spatial Features From Dose Distribution to Predict Incidence of Radiation Pneumonitis

Radiomics for differentiation of gliomas from primary central nervous system lymphomas: a systematic review and meta-analysis

Classification of collagen remodeling in asthma using second-harmonic generation imaging, supervised machine learning and texture-based analysis

Comparison of Comprehensive Morphological and Radiomics Features of Subsolid Pulmonary Nodules to Distinguish Minimally Invasive Adenocarcinomas and Invasive Adenocarcinomas in CT Scan

MRI-Based Machine Learning in Differentiation Between Benign and Malignant Breast Lesions

Prediction Breast Molecular Typing of Invasive Ductal Carcinoma Based on Dynamic Contrast Enhancement Magnetic Resonance Imaging Radiomics Characteristics: A Feasibility Study

Radiomics-Based Machine Learning Models for Predicting P504s/P63 Immunohistochemical Expression: A Noninvasive Diagnostic Tool for Prostate Cancer

Radiomics-based optimization of target selection in CT-guided percutaneous lung cancer biopsy: a retrospective study