A survey of MRI-based medical image analysis for brain tumor studies
MRI-based medical image analysis for brain tumor studies is gaining attention in recent
times due to an increased need for efficient and objective evaluation of large amounts of …
times due to an increased need for efficient and objective evaluation of large amounts of …
Deformable medical image registration: A survey
A Sotiras, C Davatzikos… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
Deformable image registration is a fundamental task in medical image processing. Among
its most important applications, one may cite: 1) multi-modality fusion, where information …
its most important applications, one may cite: 1) multi-modality fusion, where information …
Advancing the cancer genome atlas glioma MRI collections with expert segmentation labels and radiomic features
Gliomas belong to a group of central nervous system tumors, and consist of various sub-
regions. Gold standard labeling of these sub-regions in radiographic imaging is essential for …
regions. Gold standard labeling of these sub-regions in radiographic imaging is essential for …
Molecular subtype classification of low‐grade gliomas using magnetic resonance imaging‐based radiomics and machine learning
In 2016, the World Health Organization (WHO) updated the glioma classification by
incorporating molecular biology parameters, including low‐grade glioma (LGG). In the new …
incorporating molecular biology parameters, including low‐grade glioma (LGG). In the new …
Cancer imaging phenomics toolkit: quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome
The growth of multiparametric imaging protocols has paved the way for quantitative imaging
phenotypes that predict treatment response and clinical outcome, reflect underlying cancer …
phenotypes that predict treatment response and clinical outcome, reflect underlying cancer …
[图书][B] Mathematical modeling of biological pattern formation
A Deutsch, S Dormann - 2005 - Springer
In this chapter we have presented mathematical modeling approaches to biological pattern
formation. While reaction-diffusion models are appropriate to describe the spatio-temporal …
formation. While reaction-diffusion models are appropriate to describe the spatio-temporal …
GLISTR: glioma image segmentation and registration
We present a generative approach for simultaneously registering a probabilistic atlas of a
healthy population to brain magnetic resonance (MR) scans showing glioma and …
healthy population to brain magnetic resonance (MR) scans showing glioma and …
Mathematical models of tumor cell proliferation: A review of the literature
Introduction: A defining hallmark of cancer is aberrant cell proliferation. Efforts to understand
the generative properties of cancer cells span all biological scales: from genetic deviations …
the generative properties of cancer cells span all biological scales: from genetic deviations …
Image-based personalization of computational models for predicting response of high-grade glioma to chemoradiation
DA Hormuth, KA Al Feghali, AM Elliott, TE Yankeelov… - Scientific reports, 2021 - nature.com
High-grade gliomas are an aggressive and invasive malignancy which are susceptible to
treatment resistance due to heterogeneity in intratumoral properties such as cell proliferation …
treatment resistance due to heterogeneity in intratumoral properties such as cell proliferation …
Computer simulations suggest that prostate enlargement due to benign prostatic hyperplasia mechanically impedes prostate cancer growth
G Lorenzo, TJR Hughes… - Proceedings of the …, 2019 - National Acad Sciences
Prostate cancer and benign prostatic hyperplasia are common genitourinary diseases in
aging men. Both pathologies may coexist and share numerous similarities, which have …
aging men. Both pathologies may coexist and share numerous similarities, which have …