COVID mortality prediction with machine learning methods: a systematic review and critical appraisal
More than a year has passed since the report of the first case of coronavirus disease 2019
(COVID), and increasing deaths continue to occur. Minimizing the time required for resource …
(COVID), and increasing deaths continue to occur. Minimizing the time required for resource …
Functional MRI in neuro-oncology: state of the art and future directions
Since its discovery in the early 1990s, functional MRI (fMRI) has been used to study human
brain function. One well-established application of fMRI in the clinical setting is the …
brain function. One well-established application of fMRI in the clinical setting is the …
Magnetic resonance imaging of primary adult brain tumors: state of the art and future perspectives
M Martucci, R Russo, F Schimperna, G D'Apolito… - Biomedicines, 2023 - mdpi.com
MRI is undoubtedly the cornerstone of brain tumor imaging, playing a key role in all phases
of patient management, starting from diagnosis, through therapy planning, to treatment …
of patient management, starting from diagnosis, through therapy planning, to treatment …
AI and high-grade glioma for diagnosis and outcome prediction: do all machine learning models perform equally well?
Radiomic models outperform clinical data for outcome prediction in high-grade gliomas
(HGG). However, lack of parameter standardization limits clinical applications. Many …
(HGG). However, lack of parameter standardization limits clinical applications. Many …
Sexually dimorphic computational histopathological signatures prognostic of overall survival in high-grade gliomas via deep learning
High-grade glioma (HGG) is an aggressive brain tumor. Sex is an important factor that
differentially affects survival outcomes in HGG. We used an end-to-end deep learning …
differentially affects survival outcomes in HGG. We used an end-to-end deep learning …
[PDF][PDF] MRI-based classification of IDH mutation and 1p/19q codeletion status of gliomas using a 2.5 D hybrid multi-task convolutional neural network
S Chakrabarty, P LaMontagne… - Neuro-Oncology …, 2023 - academic.oup.com
Background IDH mutation and 1p/19q codeletion status are important prognostic markers for
glioma that are currently determined using invasive procedures. Our goal was to develop …
glioma that are currently determined using invasive procedures. Our goal was to develop …
In vivo brain GSH: MRS methods and clinical applications
Glutathione (GSH) is an important antioxidant implicated in several physiological functions,
including the oxidation− reduction reaction balance and brain antioxidant defense against …
including the oxidation− reduction reaction balance and brain antioxidant defense against …
[HTML][HTML] The promise of metabolic imaging in diffuse midline glioma
Recent insights into histopathological and molecular subgroups of glioma have
revolutionized the field of neuro-oncology by refining diagnostic categories. An emblematic …
revolutionized the field of neuro-oncology by refining diagnostic categories. An emblematic …
One Step Forward—The Current Role of Artificial Intelligence in Glioblastoma Imaging
Artificial intelligence (AI) is rapidly integrating into diagnostic methods across many
branches of medicine. Significant progress has been made in tumor assessment using AI …
branches of medicine. Significant progress has been made in tumor assessment using AI …
Swin transformer improves the IDH mutation status prediction of gliomas free of MRI-based tumor segmentation
J Wu, Q Xu, Y Shen, W Chen, K Xu, XR Qi - Journal of Clinical Medicine, 2022 - mdpi.com
Background: Deep learning (DL) could predict isocitrate dehydrogenase (IDH) mutation
status from MRIs. Yet, previous work focused on CNNs with refined tumor segmentation. To …
status from MRIs. Yet, previous work focused on CNNs with refined tumor segmentation. To …