Radiomics in medical imaging: pitfalls and challenges in clinical management

R Fusco, V Granata, G Grazzini, S Pradella… - Japanese journal of …, 2022 - Springer
Background Radiomics and radiogenomics are two words that recur often in language of
radiologists, nuclear doctors and medical physicists especially in oncology field. Radiomics …

[HTML][HTML] A review of original articles published in the emerging field of radiomics

J Song, Y Yin, H Wang, Z Chang, Z Liu, L Cui - European journal of …, 2020 - Elsevier
Purpose To determine the characteristics of and trends in research in the emerging field of
radiomics through bibliometric and hotspot analyses of relevant original articles published …

General purpose radiomics for multi-modal clinical research

MG Wels, F Lades, A Muehlberg… - Medical imaging 2019 …, 2019 - spiedigitallibrary.org
In this paper we present an integrated software solution∗ targeting clinical researchers for
discovering relevant radiomic biomarkers covering the entire value chain of clinical …

Systematic review of the radiomics quality score applications: an EuSoMII Radiomics Auditing Group Initiative

G Spadarella, A Stanzione, T Akinci D'Antonoli… - European …, 2023 - Springer
Objective The main aim of the present systematic review was a comprehensive overview of
the Radiomics Quality Score (RQS)–based systematic reviews to highlight common issues …

Methods and challenges in quantitative imaging biomarker development

RG Abramson, KR Burton, JY John-Paul, EM Scalzetti… - Academic radiology, 2015 - Elsevier
Academic radiology is poised to play an important role in the development and
implementation of quantitative imaging (QI) tools. This article, drafted by the Association of …

ESR statement on the validation of imaging biomarkers

… of Radiology (ESR) communications@ myesr. org … - Insights into …, 2020 - Springer
Medical imaging capable of generating imaging biomarkers, specifically radiology and
nuclear medicine image acquisition and analysis processes, differs from frequently used …

[HTML][HTML] Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization

P Papadimitroulas, L Brocki, NC Chung, W Marchadour… - Physica Medica, 2021 - Elsevier
Over the last decade there has been an extensive evolution in the Artificial Intelligence (AI)
field. Modern radiation oncology is based on the exploitation of advanced computational …

[图书][B] Radiomics and radiogenomics: technical basis and clinical applications

R Li, L Xing, S Napel, DL Rubin - 2019 - books.google.com
Radiomics and Radiogenomics: Technical Basis and Clinical Applications provides a first
summary of the overlapping fields of radiomics and radiogenomics, showcasing how they …

Radiomics: the bridge between medical imaging and personalized medicine

P Lambin, RTH Leijenaar, TM Deist… - Nature reviews Clinical …, 2017 - nature.com
Radiomics, the high-throughput mining of quantitative image features from standard-of-care
medical imaging that enables data to be extracted and applied within clinical-decision …

Radiomics in radiooncology–challenging the medical physicist

JC Peeken, M Bernhofer, B Wiestler, T Goldberg… - Physica medica, 2018 - Elsevier
Purpose Noticing the fast growing translation of artificial intelligence (AI) technologies to
medical image analysis this paper emphasizes the future role of the medical physicist in this …