Responsible radiomics research for faster clinical translation

M Vallières, A Zwanenburg, B Badic… - Journal of Nuclear …, 2018 - Soc Nuclear Med
It is now recognized that intratumoral heterogeneity is associated with more aggressive
tumor phenotypes leading to poor patient outcomes (1). Medical imaging plays a central role …

[HTML][HTML] Challenges and promises of PET radiomics

GJR Cook, G Azad, K Owczarczyk, M Siddique… - International Journal of …, 2018 - Elsevier
Purpose Radiomics describes the extraction of multiple, otherwise invisible, features from
medical images that, with bioinformatic approaches, can be used to provide additional …

Introduction to radiomics

ME Mayerhoefer, A Materka, G Langs… - Journal of Nuclear …, 2020 - Soc Nuclear Med
Radiomics is a rapidly evolving field of research concerned with the extraction of quantitative
metrics—the so-called radiomic features—within medical images. Radiomic features capture …

Radiomics in nuclear medicine applied to radiation therapy: methods, pitfalls, and challenges

S Reuzé, A Schernberg, F Orlhac, R Sun… - International Journal of …, 2018 - Elsevier
Radiomics is a recent area of research in precision medicine and is based on the extraction
of a large variety of features from medical images. In the field of radiation oncology …

[HTML][HTML] Radiomics analysis for clinical decision support in nuclear medicine

A Ibrahim, M Vallieres, H Woodruff, S Primakov… - Seminars in nuclear …, 2019 - Elsevier
Radiomics–the high-throughput computation of quantitative image features extracted from
medical imaging modalities-can be used to aid clinical decision support systems in order to …

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 …

LIFEx: a freeware for radiomic feature calculation in multimodality imaging to accelerate advances in the characterization of tumor heterogeneity

C Nioche, F Orlhac, S Boughdad, S Reuzé, J Goya-Outi… - Cancer research, 2018 - AACR
Textural and shape analysis is gaining considerable interest in medical imaging, particularly
to identify parameters characterizing tumor heterogeneity and to feed radiomic models …

Radiomics beyond the hype: a critical evaluation toward oncologic clinical use

N Horvat, N Papanikolaou, DM Koh - Radiology: Artificial Intelligence, 2024 - pubs.rsna.org
Radiomics is a promising and fast-developing field within oncology that involves the mining
of quantitative high-dimensional data from medical images. Radiomics has the potential to …

Machine and deep learning methods for radiomics

M Avanzo, L Wei, J Stancanello, M Vallieres… - Medical …, 2020 - Wiley Online Library
Radiomics is an emerging area in quantitative image analysis that aims to relate large‐scale
extracted imaging information to clinical and biological endpoints. The development of …

[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 …