ComBat Harmonization of Myocardial Radiomic Features Sensitive to Cardiac MRI Acquisition Parameters-Reference-Cited by-同舟云学术

ComBat Harmonization of Myocardial Radiomic Features Sensitive to Cardiac MRI Acquisition Parameters

Published:2023-08-01 Issue:4 Volume:5 Page:
ISSN:2638-6135
Container-title:Radiology: Cardiothoracic Imaging
language:en
Short-container-title:Radiology: Cardiothoracic Imaging

Author:

Priya Sarv¹^ORCID,Dhruba Durjoy D.¹^ORCID,Sorensen Eldon¹^ORCID,Aher Pritish Y.¹,Narayanasamy Sabarish¹,Nagpal Prashant¹^ORCID,Jacob Mathews¹,Carter Knute D.¹^ORCID

Affiliation:

1. From the Department of Radiology, University of Iowa Carver College of Medicine, 200 Hawkins Dr, Iowa City, IA 52242 (S.P., S.N.); Department of Electrical and Computer Engineering (D.D.D., M.J.) and Department of Biostatistics (E.S., K.D.C.), University of Iowa, Iowa City, Iowa; Department of Radiology, University of Miami, Miller School of Medicine, Miami, Fla (P.Y.A.); and Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis (P.N.).

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology, Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/ryct.220312

Reference45 articles.

1. Radiomics in Oncology: A Practical Guide

2. Texture Analysis in Cerebral Gliomas: A Review of the Literature

3. Precision Digital Oncology: Emerging Role of Radiomics-based Biomarkers and Artificial Intelligence for Advanced Imaging and Characterization of Brain Tumors

4. Radiomics in Brain Tumor: Image Assessment, Quantitative Feature Descriptors, and Machine-Learning Approaches

5. Radiomics Detection of Pulmonary Hypertension via Texture-Based Assessments of Cardiac MRI: A Machine-Learning Model Comparison—Cardiac MRI Radiomics in Pulmonary Hypertension

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