Radiomics in neuro-oncology: Basics, workflow, and applications

P Lohmann, N Galldiks, M Kocher, A Heinzel, CP Filss… - Methods, 2021 - Elsevier
… , is termed radiomics. This review article summarizes the basics, the current workflow, and
methods used in radiomics with a focus on feature-based radiomics in neuro-oncology and …

Radiomics in neuro-oncological clinical trials

P Lohmann, E Franceschi, P Vollmuth… - The Lancet Digital …, 2022 - thelancet.com
… status of radiomics, discusses its potential and limitations, envisions its future role in clinical
… in neuro-oncology, and provides guidance on how to address the challenges in radiomics. …

Clinical applications of artificial intelligence and radiomics in neuro-oncology imaging

AAK Abdel Razek, A Alksas, M Shehata… - Insights into …, 2021 - Springer
… applications of artificial intelligence (AI) and radiomics in the field of neuro-oncology. A
variety of AI and radiomics utilized conventional and advanced techniques to differentiate brain …

Potential and limitations of radiomics in neuro-oncology

B Taha, D Boley, J Sun, C Chen - Journal of Clinical Neuroscience, 2021 - Elsevier
… In this article, we provide an overview of the major steps in radiomic studies. We … in radiomics
in neuro-oncology. In addition, we describe major limitations inherent to radiomic pipelines …

Introduction to radiomics and radiogenomics in neuro-oncology: implications and challenges

N Beig, K Bera, P Tiwari - Neuro-Oncology Advances, 2020 - academic.oup.com
… an introduction to radiomic and radiogenomic approaches in neurooncology, including a …
models in neurooncology applications. Lastly, we discuss the promise of radiomics and …

Machine learning-based radiomics in neuro-oncology

F Ehret, D Kaul, H Clusmann, D Delev… - Machine Learning in …, 2022 - Springer
Radiomics has advanced our understanding of neuro-oncology by seeking associations
between the imaging domain and other disciplines, and hence evolved into a vital part of multi-…

A systematic review reporting quality of radiomics research in neuro-oncology: toward clinical utility and quality improvement using high-dimensional imaging features

JE Park, HS Kim, D Kim, SY Park, JY Kim, SJ Cho… - BMC cancer, 2020 - Springer
… , radiomics studies in neuro-oncologic imaging were evaluated in respect to the quality of
both the science and the reporting, using radiomics quality score. Overall, radiomics studies …

Radiomics and radiogenomics in pediatric neuro-oncology: a review

R Madhogarhia, D Haldar, S Bagheri… - Neuro-Oncology …, 2022 - academic.oup.com
… In this section, we will review radiomics and radiogenomics studies in pediatric neuro-oncology
(summarized in Table 1). We have grouped studies by their endpoint, resulting in four …

A spotlight on the role of radiomics and machine-learning applications in the management of intracranial meningiomas: a new perspective in neuro-oncology: a review

L Brunasso, G Ferini, L Bonosi, R Costanzo, S Musso… - Life, 2022 - mdpi.com
… up new perspectives in neuro-oncology, in the so-called radiomics field. Radiomics offer new
… study) concerning the application of radiomics method in the preoperative diagnostic and …

Artificial intelligence, radiomics, and deep learning in neuro-oncology

N Galldiks, G Zadeh, P Lohmann - Neuro-oncology advances, 2020 - academic.oup.com
radiomics in Neuro-Oncology including a profound discussion on implications and
challenges.Feature-based radiomicsradiomics is “Radiogenomics.” It allows statistical …