The Pursuit of Generalizability to Enable Clinical Translation of Radiomics-Reference-Cited by-同舟云学术

The Pursuit of Generalizability to Enable Clinical Translation of Radiomics

Published:2021-01-01 Issue:1 Volume:3 Page:e200227
ISSN:2638-6100
Container-title:Radiology: Artificial Intelligence
language:en
Short-container-title:Radiology: Artificial Intelligence

Author:

Tiwari Pallavi¹^ORCID,Verma Ruchika¹^ORCID

Affiliation:

1. From the Case School of Engineering–Biomedical Engineering, Case Western Reserve University, 2095 Martin Luther King Jr Dr, Hall Room 500, Cleveland, OH 44106.

Publisher

Radiological Society of North America (RSNA)

Subject

General Medicine

Link

http://pubs.rsna.org/doi/pdf/10.1148/ryai.2020200227

Reference11 articles.

1. Radiomic Profiling of Glioblastoma: Identifying an Imaging Predictor of Patient Survival with Improved Performance over Established Clinical and Radiologic Risk Models

2. Radiogenomic-Based Survival Risk Stratification of Tumor Habitat on Gd-T1w MRI Is Associated with Biological Processes in Glioblastoma

3. Combination of Peri- and Intratumoral Radiomic Features on Baseline CT Scans Predicts Response to Chemotherapy in Lung Adenocarcinoma

4. Stable and discriminating radiomic predictor of recurrence in early stage non-small cell lung cancer: Multi-site study

5. Repeatability of radiomic features in magnetic resonance imaging of glioblastoma: Test–retest and image registration analyses

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