Predicting cancer outcomes with radiomics and artificial intelligence in radiology
The successful use of artificial intelligence (AI) for diagnostic purposes has prompted the
application of AI-based cancer imaging analysis to address other, more complex, clinical …
application of AI-based cancer imaging analysis to address other, more complex, clinical …
Radiomics and radiogenomics in gliomas: a contemporary update
The natural history and treatment landscape of primary brain tumours are complicated by the
varied tumour behaviour of primary or secondary gliomas (high-grade transformation of low …
varied tumour behaviour of primary or secondary gliomas (high-grade transformation of low …
Biomass seaweed-derived nitrogen self-doped porous carbon anodes for sodium-ion batteries: Insights into the structure and electrochemical activity
Sustainable transformation and efficient utilization of biomasses and their derived materials
are environmentally as well as economically compliant strategies. Biomass seaweed …
are environmentally as well as economically compliant strategies. Biomass seaweed …
Introduction to radiomics and radiogenomics in neuro-oncology: implications and challenges
Neuro-oncology largely consists of malignancies of the brain and central nervous system
including both primary as well as metastatic tumors. Currently, a significant clinical …
including both primary as well as metastatic tumors. Currently, a significant clinical …
MR elastography in cancer
The mechanical traits of cancer include abnormally high solid stress as well as drastic and
spatially heterogeneous changes in intrinsic mechanical tissue properties. Whereas solid …
spatially heterogeneous changes in intrinsic mechanical tissue properties. Whereas solid …
Structural connectome quantifies tumour invasion and predicts survival in glioblastoma patients
Glioblastoma is characterized by diffuse infiltration into the surrounding tissue along white
matter tracts. Identifying the invisible tumour invasion beyond focal lesion promises more …
matter tracts. Identifying the invisible tumour invasion beyond focal lesion promises more …
Multi-modal learning for predicting the genotype of glioma
The isocitrate dehydrogenase (IDH) gene mutation is an essential biomarker for the
diagnosis and prognosis of glioma. It is promising to better predict glioma genotype by …
diagnosis and prognosis of glioma. It is promising to better predict glioma genotype by …
Prediction of survival of glioblastoma patients using local spatial relationships and global structure awareness in FLAIR MRI brain images
This article introduces a framework for predicting the survival of brain tumor patients by
analyzing magnetic resonance images. The prediction of brain tumor survival is challenging …
analyzing magnetic resonance images. The prediction of brain tumor survival is challenging …
Pretreatment MR-based radiomics in patients with glioblastoma: A systematic review and meta-analysis of prognostic endpoints
Purpose Recent studies have shown promise of MR-based radiomics in predicting the
survival of patients with untreated glioblastoma. This study aimed to comprehensively collate …
survival of patients with untreated glioblastoma. This study aimed to comprehensively collate …
Predicting survival of glioblastoma from automatic whole-brain and tumor segmentation of MR images
Survival prediction models can potentially be used to guide treatment of glioblastoma
patients. However, currently available MR imaging biomarkers holding prognostic …
patients. However, currently available MR imaging biomarkers holding prognostic …