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2024
Radiomics for residual tumour detection and prognosis in newly diagnosed glioblastoma based on postoperative [11C] methionine PET and T1c-w MRI
Scientific Reports
2024
Brain tumor grade classification using multi‐step pre‐training
International Journal of Imaging Systems and Technology
2024
The application value of deep learning in the background of precision medicine in glioblastoma
Science Progress
2024
Identification of Multiclass Pediatric Low-Grade Neuroepithelial Tumor Molecular Subtype with ADC MR Imaging and Machine Learning
American Journal of Neuroradiology
2024
Empowering Glioma Prognosis With Transparent Machine Learning and Interpretative Insights Using Explainable AI
IEEE Access
2024
Magnetic resonance imaging in the diagnosis of glial brain tumors in the light of a new classification of central nervous system tumors
Russian Journal for Personalized Medicine
2023
Multiclass tumor identification using combined texture and statistical features
Medical & Biological Engineering & Computing
2023
Radiomics-based evaluation and possible characterization of dynamic contrast enhanced (DCE) perfusion derived different sub-regions of Glioblastoma
European Journal of Radiology
2023
MRI-based radiomics model for distinguishing Stage I endometrial carcinoma from endometrial polyp: a multicenter study
Acta Radiologica
2023
Investigation of radiomics and deep convolutional neural networks approaches for glioma grading
Biomedical Physics & Engineering Express
2023
Radiomics and Machine Learning in Brain Tumors and Their Habitat: A Systematic Review
Cancers
2023
Tumor volume and calcifications as indicators for preoperative differentiation of grade II/III diffuse gliomas
Journal of Neuro-Oncology
2023
Moving towards a unified classification of glioblastomas utilizing artificial intelligence and deep machine learning integration
Frontiers in Oncology
2023
Lecture Notes in Networks and Systems
2023
Machine Learning Empowered Brain Tumor Segmentation and Grading Model for Lifetime Prediction
IEEE Access
2023
Review of Magnetic Resonance Imaging and Post-processing for the Brain Tumor-related Epilepsy Study
Current Medical Imaging Reviews
2023
Radiomics analysis of amide proton transfer‐weighted and structural MR images for treatment response assessment in malignant gliomas
NMR in Biomedicine
2023
A CNN-Model to Classify Low-Grade and High-Grade Glioma From MRI Images
IEEE Access
2023
FFCAEs: An efficient feature fusion framework using cascaded autoencoders for the identification of gliomas
International Journal of Imaging Systems and Technology
2023
Machine-Learning-Based Radiomics for Classifying Glioma Grade from Magnetic Resonance Images of the Brain
Journal of Personalized Medicine
2023
Machine learning predicts histologic type and grade of canine gliomas based on MRI texture analysis
Veterinary Radiology & Ultrasound
2023
Artificial Intelligence in Brain Tumor Imaging: A Step toward Personalized Medicine
Current Oncology
2023
Classification of low- and high-grade gliomas using radiomic analysis of multiple sequences of MRI brain
Journal of Cancer Research and Therapeutics
2023
Expert knowledge guided manifold representation learning for magnetic resonance imaging-based glioma grading
Biomedical Signal Processing and Control
2023
SASG-GCN: Self-Attention Similarity Guided Graph Convolutional Network for Multi-Type Lower-Grade Glioma Classification
IEEE Journal of Biomedical and Health Informatics
2023
Glioma Tumor Grading Using Radiomics on Conventional MRI: A Comparative Study of WHO 2021 and WHO 2016 Classification of Central Nervous Tumors
Journal of Magnetic Resonance Imaging
2022
Noninvasively predict the micro-vascular invasion and histopathological grade of hepatocellular carcinoma with CT-derived radiomics
European Journal of Radiology Open
2022
Multimodal Disentangled Variational Autoencoder With Game Theoretic Interpretability for Glioma Grading
IEEE Journal of Biomedical and Health Informatics
2022
Machine learning application in Glioma classification: review and comparison analysis
Archives of Computational Methods in Engineering
2022
A deep learning framework integrating MRI image preprocessing methods for brain tumor segmentation and classification
IBRO Neuroscience Reports
2022
Texture analysis imaging “what a clinical radiologist needs to know”
European Journal of Radiology
2022
2022 16th IEEE International Conference on Signal Processing (ICSP)
2022
Certain aspects of radiomics and radiogenomics in glioblastoma: what the images hide?
Translational Medicine
2022
Challenges in Glioblastoma Radiomics and the Path to Clinical Implementation
Cancers
2022
2022 International Conference for Advancement in Technology (ICONAT)
2022
Accurate prediction of glioma grades from radiomics using a multi-filter and multi-objective-based method
Mathematical Biosciences and Engineering
2022
Brain Tumor Imaging: Applications of Artificial Intelligence
Seminars in Ultrasound, CT and MRI
2022
MRI-Based Radiomics Differentiates Skull Base Chordoma and Chondrosarcoma: A Preliminary Study
Cancers
2022
MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images
Medical Image Analysis
2022
Radiomics-Based Method for Predicting the Glioma Subtype as Defined by Tumor Grade, IDH Mutation, and 1p/19q Codeletion
Cancers
2022
Radiogenomic analysis: 1p/19q codeletion based subtyping of low-grade glioma by analysing advanced biomedical texture descriptors
Journal of King Saud University - Computer and Information Sciences
2022
Glioma classification via MR images radiomics analysis
The Visual Computer
2022
Glioma grading prediction using multiparametric magnetic resonance imaging‐based radiomics combined with proton magnetic resonance spectroscopy and diffusion tensor imaging
Medical Physics
2022
Evolving Role and Translation of Radiomics and Radiogenomics in Adult and Pediatric Neuro-Oncology
American Journal of Neuroradiology
2022
Radiomics-based MRI for predicting Erythropoietin-producing hepatocellular receptor A2 expression and tumor grade in brain diffuse gliomas
Neuroradiology
2022
Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence
2022
Feature‐versus deep learning‐based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study
International Journal of Imaging Systems and Technology
2022
MR-guided non-invasive typing of brain gliomas using machine learning
Voprosy neirokhirurgii imeni N.N. Burdenko
2022
Basic premises: searching for new targets and strategies in diffuse gliomas
Clinical and Translational Imaging
2022
Radiomics for precision medicine in glioblastoma
Journal of Neuro-Oncology
2022
Differentiating Glioblastoma Multiforme from Brain Metastases Using Multidimensional Radiomics Features Derived from MRI and Multiple Machine Learning Models
BioMed Research International
2022
IBRDM: An Intelligent Framework for Brain Tumor Classification Using Radiomics- and DWT-based Fusion of MRI Sequences
ACM Transactions on Internet Technology
2022
Lecture Notes in Computer Science
2022
Multi-task learning-based feature selection and classification models for glioblastoma and solitary brain metastases
Frontiers in Oncology
2022
Application of Enhanced T1WI of MRI Radiomics in Glioma Grading
International Journal of Clinical Practice
2022
A Novel System for Precise Grading of Glioma
Bioengineering
2021
Augmented Radiology: Feature Space Transfer Model for Prostate Cancer Stage Prediction
IEEE Access
2021
Machine Learning and Radiomic Features to Predict Overall Survival Time for Glioblastoma Patients
Journal of Personalized Medicine
2021
Efficacy of Location-Based Features for Survival Prediction of Patients With Glioblastoma Depending on Resection Status
Frontiers in Oncology
2021
MRI-Based Radiomics and Radiogenomics in the Management of Low-Grade Gliomas: Evaluating the Evidence for a Paradigm Shift
Journal of Clinical Medicine
2021
Advanced Imaging Techniques for Differentiating Pseudoprogression and Tumor Recurrence After Immunotherapy for Glioblastoma
Frontiers in Immunology
2021
Current Status and Quality of Machine Learning-Based Radiomics Studies for Glioma Grading: A Systematic Review
Oncology
2021
Radiomics in Oncology, Part 2: Thoracic, Genito-Urinary, Breast, Neurological, Hematologic and Musculoskeletal Applications
Cancers
2021
Potential and limitations of radiomics in neuro-oncology
Journal of Clinical Neuroscience
2021
Advances in Intelligent Systems and Computing
2021
Radiomics-based machine learning model for efficiently classifying transcriptome subtypes in glioblastoma patients from MRI
Computers in Biology and Medicine
2021
Communications in Computer and Information Science
2021
Observing deep radiomics for the classification of glioma grades
Scientific Reports
2021
Clinical applications of artificial intelligence and radiomics in neuro-oncology imaging
Insights into Imaging
2021
Towards a computer aided diagnosis (CAD) for brain MRI glioblastomas tumor exploration based on a deep convolutional neuronal networks (D-CNN) architectures
Multimedia Tools and Applications
2021
Fully Automated MR Based Virtual Biopsy of Cerebral Gliomas
Cancers
2021
Neuromethods
2021
Radiomics in neuro-oncology: Basics, workflow, and applications
Methods
2021
Comparison of Radiomics Analyses Based on Different Magnetic Resonance Imaging Sequences in Grading and Molecular Genomic Typing of Glioma
Journal of Computer Assisted Tomography
2021
2021 International Conference on Information Networking (ICOIN)
2021
State of Radiomics in Glioblastoma
Neurosurgery
2021
Machine learning applications to neuroimaging for glioma detection and classification: An artificial intelligence augmented systematic review
Journal of Clinical Neuroscience
2021
Exploring Radiologic Criteria for Glioma Grade Classification on the BraTS Dataset
IRBM
2021
Normative Baseline for Radiomics in Brain MRI: Evaluating the Robustness, Regional Variations, and Reproducibility on FLAIR Images
Journal of Magnetic Resonance Imaging
2021
Artificial intelligence in tumor subregion analysis based on medical imaging: A review
Journal of Applied Clinical Medical Physics
2021
Lecture Notes in Business Information Processing
2021
Binary glioma grading framework employing locality preserving projections and Gaussian radial basis function support vector machine
International Journal of Imaging Systems and Technology
2021
Long non-coding RNA panel as a molecular biomarker in glioma
Journal of the Egyptian National Cancer Institute
2021
Evolution in diagnosis and detection of brain tumor – review
Journal of Physics: Conference Series
2020
Precision Digital Oncology: Emerging Role of Radiomics-based Biomarkers and Artificial Intelligence for Advanced Imaging and Characterization of Brain Tumors
Radiology: Imaging Cancer
2020
2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA)
2020
Deep Convolutional Radiomic Features on Diffusion Tensor Images for Classification of Glioma Grades
Journal of Digital Imaging
2020
Prediction of Glioma Grade using Intratumoral and Peritumoral Radiomic Features from Multiparametric MRI Images
IEEE/ACM Transactions on Computational Biology and Bioinformatics
2020
Radiomics in Breast Imaging from Techniques to Clinical Applications: A Review
Korean Journal of Radiology
2020
The diagnostic value of quantitative texture analysis of conventional MRI sequences using artificial neural networks in grading gliomas
Clinical Radiology
2020
Lecture Notes in Computer Science
2020
Prediction of lower-grade glioma molecular subtypes using deep learning
Journal of Neuro-Oncology
2020
Diagnostic Accuracy of Machine Learning-Based Radiomics in Grading Gliomas: Systematic Review and Meta-Analysis
Contrast Media & Molecular Imaging
2020
CGHF: A Computational Decision Support System for Glioma Classification Using Hybrid Radiomics- and Stationary Wavelet-Based Features
IEEE Access
2020
A Novel Intelligent System for Brain Tumor Diagnosis Based on a Composite Neutrosophic-Slantlet Transform Domain for Statistical Texture Feature Extraction
BioMed Research International
2020
Glioma Classification Using Deep Radiomics
SN Computer Science
2020
Applications of radiomics and machine learning for radiotherapy of malignant brain tumors
Strahlentherapie und Onkologie
2020
Prediction of Glioma Grades Using Deep Learning with Wavelet Radiomic Features
Applied Sciences
2020
Lecture Notes in Computer Science
2020
Glioma Grade Prediction Using Wavelet Scattering-Based Radiomics
IEEE Access
2020
Deep Multi-Scale 3D Convolutional Neural Network (CNN) for MRI Gliomas Brain Tumor Classification
Journal of Digital Imaging
2019
Proceedings of the Third International Symposium on Image Computing and Digital Medicine
2019
MRI‐based radiomics signature for tumor grading of rectal carcinoma using random forest model
Journal of Cellular Physiology
2019
Preoperative Noninvasive Radiomics Approach Predicts Tumor Consistency in Patients With Acromegaly: Development and Multicenter Prospective Validation
Frontiers in Endocrinology
2019
Comparison of Feature Selection Methods and Machine Learning Classifiers for Radiomics Analysis in Glioma Grading
IEEE Access
2019
2019 Fifth International Conference on Advances in Biomedical Engineering (ICABME)
2019
Application of Radiomics in Central Nervous System Diseases: a Systematic literature review
Clinical Neurology and Neurosurgery
2019
Prediction of malignant glioma grades using contrast-enhanced T1-weighted and T2-weighted magnetic resonance images based on a radiomic analysis
Scientific Reports
2019
Imaging biomarker analysis of advanced multiparametric MRI for glioma grading
Physica Medica
2019
CT-Based Radiomics Signature for the Preoperative Discrimination Between Head and Neck Squamous Cell Carcinoma Grades
Frontiers in Oncology
2019
Machine learning analysis to identify the association between risk factors and onset of nosocomial diarrhea: a retrospective cohort study
PeerJ
2019
Optimization of treatment strategy by using a machine learning model to predict survival time of patients with malignant glioma after radiotherapy
Journal of Radiation Research
2019
Robustness of Radiomics for Survival Prediction of Brain Tumor Patients Depending on Resection Status
Frontiers in Computational Neuroscience
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