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Advanced MR techniques for preoperative glioma characterization: Part 1
Preoperative clinical magnetic resonance imaging (MRI) protocols for gliomas, brain tumors
with dismal outcomes due to their infiltrative properties, still rely on conventional structural …
with dismal outcomes due to their infiltrative properties, still rely on conventional structural …
Interstitial fluid pressure as an emerging biomarker in solid tumors
The physical microenvironment of cancer is characterized by elevated stiffness and tissue
pressure, the main component of which is the interstitial fluid pressure (IFP). Elevated IFP is …
pressure, the main component of which is the interstitial fluid pressure (IFP). Elevated IFP is …
Breast cancer detection and prevention using machine learning
Breast cancer is a common cause of female mortality in develo** countries. Early
detection and treatment are crucial for successful outcomes. Breast cancer develops from …
detection and treatment are crucial for successful outcomes. Breast cancer develops from …
Liver fibrosis: Review of current imaging and MRI quantification techniques
Liver fibrosis is characterized by the accumulation of extracellular matrix proteins such as
collagen in the liver interstitial space. All causes of chronic liver disease may lead to fibrosis …
collagen in the liver interstitial space. All causes of chronic liver disease may lead to fibrosis …
[HTML][HTML] Image-based predictive modelling frameworks for personalised drug delivery in cancer therapy
Personalised drug delivery enables a tailored treatment plan for each patient compared to
conventional drug delivery, where a generic strategy is commonly employed. It can not only …
conventional drug delivery, where a generic strategy is commonly employed. It can not only …
Recent advances in explainable artificial intelligence for magnetic resonance imaging
Advances in artificial intelligence (AI), especially deep learning (DL), have facilitated
magnetic resonance imaging (MRI) data analysis, enabling AI-assisted medical image …
magnetic resonance imaging (MRI) data analysis, enabling AI-assisted medical image …
Dynamic contrast-enhanced MRI in oncology: how we do it
Magnetic resonance imaging (MRI) is particularly attractive for clinical application in
perfusion imaging thanks to the absence of ionizing radiation and limited volumes of …
perfusion imaging thanks to the absence of ionizing radiation and limited volumes of …
Imaging blood-brain barrier dysfunction: A state-of-the-art review from a clinical perspective
The blood-brain barrier (BBB) consists of specialized cells that tightly regulate the in-and
outflow of molecules from the blood to brain parenchyma, protecting the brain's …
outflow of molecules from the blood to brain parenchyma, protecting the brain's …
Perfusion MRI in treatment evaluation of glioblastomas: Clinical relevance of current and future techniques
Treatment evaluation of patients with glioblastomas is important to aid in clinical decisions.
Conventional MRI with contrast is currently the standard method, but unable to differentiate …
Conventional MRI with contrast is currently the standard method, but unable to differentiate …
[HTML][HTML] Deep learning DCE-MRI parameter estimation: Application in pancreatic cancer
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is an MRI technique
for quantifying perfusion that can be used in clinical applications for classification of tumours …
for quantifying perfusion that can be used in clinical applications for classification of tumours …