Integrated biophysical modeling and image analysis: application to neuro-oncology
… Figure 1 Radiomics in neuro-oncology. We seek to extract quantitative imaging indicators …
The main inputs to our framework are multi-parametric magnetic resonance imaging (mpMRI) …
The main inputs to our framework are multi-parametric magnetic resonance imaging (mpMRI) …
Artificial intelligence, radiomics, and deep learning in neuro-oncology
N Galldiks, G Zadeh, P Lohmann - Neuro-oncology advances, 2020 - academic.oup.com
… of standardization of imaging and artificial intelligence methods in neuro-oncology.Artificial …
of these innovative techniques in the field of neuro-oncology will increase in the future. …
of these innovative techniques in the field of neuro-oncology will increase in the future. …
Conventional and Advanced MRI in Neuro-Oncology
PLY Tang, EAH Warnert, M Smits - … and Therapy in Neuro-Oncology, 2024 - Springer
… Additionally, the utilization of the ADC as a quantitative imaging biomarker in neuro-oncology
is an active area of research and may further establish DWI as a clinical MRI technique. …
is an active area of research and may further establish DWI as a clinical MRI technique. …
Anatomical and functional MR imaging to define tumoral boundaries and characterize lesions in neuro-oncology
… Attempts for standardization of these sequences and their parameters for clinical trials have
been made in 2015 by US neuro-oncology experts, in order to unify protocols for multicentre …
been made in 2015 by US neuro-oncology experts, in order to unify protocols for multicentre …
… ”: Integrating Multimodal Advanced Neuroimaging/AI Tools Towards Creating a Robust and Therapy Agnostic Model for Response Assessment in Neuro-Oncology
… Therefore, there is a pressing need to develop robust and quantitative imaging biomarkers
which are “therapy agnostic” for reliably assessing “real-time” tumor dynamics and redefining …
which are “therapy agnostic” for reliably assessing “real-time” tumor dynamics and redefining …
Neuro-oncology and radiogenomics: time to integrate?
A Lasocki, MA Rosenthal… - American Journal …, 2020 - Am Soc Neuroradiology
… . T2-FLAIR mismatch, an imaging biomarker for IDH and 1p/19q status in lower-grade
gliomas: a TCGA/TCIA project. Clin Cancer Res 2017;23:6078–85 doi:10.1158/1078-0432.CCR-…
gliomas: a TCGA/TCIA project. Clin Cancer Res 2017;23:6078–85 doi:10.1158/1078-0432.CCR-…
Transformational role of medical imaging in (radiation) oncology
… Here we discuss the development of robust quantitative imaging biomarkers and … neuro-oncology,
disease progression is mostly assessed and defined using qualitative and quantitative …
disease progression is mostly assessed and defined using qualitative and quantitative …
[PDF][PDF] Neuro-Oncology Advances
E Calabrese, JD Rudie, AM Rauschecker… - 2022 - pdfs.semanticscholar.org
… insight into the feasibility of image-based genetic prediction for several genetic … image
biomarker standardization initiative: standardized quantitative radiomics for highthroughput image…
biomarker standardization initiative: standardized quantitative radiomics for highthroughput image…
Radiographic read paradigms and the roles of the central imaging laboratory in neuro-oncology clinical trials
… this methodology for neuro-oncology, including image registration, requirement of growing
tumor for eligibility in trials of recurrent tumor, standardized image acquisition guidelines, and …
tumor for eligibility in trials of recurrent tumor, standardized image acquisition guidelines, and …
Advances in Neuro-Oncological imaging: an update on Diagnostic Approach to Brain tumors
P Sabeghi, P Zarand, S Zargham, B Golestany… - Cancers, 2024 - mdpi.com
… Ongoing research in neuro-oncological imaging aims to address these limitations. Our
review explores the latest advancements in imaging modalities for neuro-oncology, highlighting …
review explores the latest advancements in imaging modalities for neuro-oncology, highlighting …