Radiomics in nuclear medicine: robustness, reproducibility, standardization, and how to avoid data analysis traps and replication crisis
A Zwanenburg - European journal of nuclear medicine and molecular …, 2019 - Springer
Radiomics in nuclear medicine is rapidly expanding. Reproducibility of radiomics studies in
multicentre settings is an important criterion for clinical translation. We therefore performed a …
multicentre settings is an important criterion for clinical translation. We therefore performed a …
Radiomics and radiogenomics in ovarian cancer: a literature review
S Nougaret, C McCague, H Tibermacine… - Abdominal …, 2021 - Springer
Ovarian cancer remains one of the most lethal gynecological cancers in the world despite
extensive progress in the areas of chemotherapy and surgery. Many studies have postulated …
extensive progress in the areas of chemotherapy and surgery. Many studies have postulated …
Reliability and prognostic value of radiomic features are highly dependent on choice of feature extraction platform
I Fornacon-Wood, H Mistry, CJ Ackermann… - European …, 2020 - Springer
Objective To investigate the effects of Image Biomarker Standardisation Initiative (IBSI)
compliance, harmonisation of calculation settings and platform version on the statistical …
compliance, harmonisation of calculation settings and platform version on the statistical …
[图书][B] Introduction to artificial intelligence
M Flasiński - 2016 - books.google.com
In the chapters in Part I of this textbook the author introduces the fundamental ideas of
artificial intelligence and computational intelligence. In Part II he explains key AI methods …
artificial intelligence and computational intelligence. In Part II he explains key AI methods …
In vivo repeatability and multiscanner reproducibility of MRI radiomics features in patients with monoclonal plasma cell disorders: a prospective bi-institutional study
Objectives Despite the extensive number of publications in the field of radiomics, radiomics
algorithms barely enter large-scale clinical application. Supposedly, the low external …
algorithms barely enter large-scale clinical application. Supposedly, the low external …
Joint imaging platform for federated clinical data analytics
PURPOSE Image analysis is one of the most promising applications of artificial intelligence
(AI) in health care, potentially improving prediction, diagnosis, and treatment of diseases …
(AI) in health care, potentially improving prediction, diagnosis, and treatment of diseases …
Combining deep learning and radiomics for automated, objective, comprehensive bone marrow characterization from whole-body MRI: a multicentric feasibility study
Objectives Disseminated bone marrow (BM) involvement is frequent in multiple myeloma
(MM). Whole-body magnetic resonance imaging (wb-MRI) enables to evaluate the whole …
(MM). Whole-body magnetic resonance imaging (wb-MRI) enables to evaluate the whole …
[HTML][HTML] Radiomic biomarkers of tumor immune biology and immunotherapy response
Immunotherapies are leading to improved outcomes for many cancers, including those with
devastating prognoses. As therapies like immune checkpoint inhibitors (ICI) become a …
devastating prognoses. As therapies like immune checkpoint inhibitors (ICI) become a …
Joint EANM/SNMMI guideline on radiomics in nuclear medicine: Jointly supported by the EANM Physics Committee and the SNMMI Physics, Instrumentation and Data …
Purpose The purpose of this guideline is to provide comprehensive information on best
practices for robust radiomics analyses for both hand-crafted and deep learning-based …
practices for robust radiomics analyses for both hand-crafted and deep learning-based …
Reinventing radiation therapy with machine learning and imaging bio-markers (radiomics): State-of-the-art, challenges and perspectives
Radiation therapy is a pivotal cancer treatment that has significantly progressed over the last
decade due to numerous technological breakthroughs. Imaging is now playing a critical role …
decade due to numerous technological breakthroughs. Imaging is now playing a critical role …