47 results
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2. 3D Inception-Based TransMorph: Pre- and Post-operative Multi-contrast MRI Registration in Brain Tumors
3. Brain Tumor Segmentation Using Neural Ordinary Differential Equations with UNet-Context Encoding Network
4. Standardizing Skullremodeling Surgery and Electrode Array Layout to Improve Tumor Treating Fields Using Computational Head Modeling and Finite Element Methods
5. Ensemble CNN Networks for GBM Tumors Segmentation Using Multi-parametric MRI
6. Adaptive Unsupervised Learning with Enhanced Feature Representation for Intra-tumor Partitioning and Survival Prediction for Glioblastoma
7. Simple and Fast Convolutional Neural Network Applied to Median Cross Sections for Predicting the Presence of MGMT Promoter Methylation in FLAIR MRI Scans
8. Prediction of MGMT Methylation Status of Glioblastoma Using Radiomics and Latent Space Shape Features
9. Brain Tumor Segmentation in Multi-parametric Magnetic Resonance Imaging Using Model Ensembling and Super-resolution
10. Brain Tumor Segmentation Using UNet-Context Encoding Network
11. 3D CMM-Net with Deeper Encoder for Semantic Segmentation of Brain Tumors in BraTS2021 Challenge
12. A Video Data Based Transfer Learning Approach for Classification of MGMT Status in Brain Tumor MR Images
13. Optimization of Deep Learning Based Brain Extraction in MRI for Low Resource Environments
14. Dice Focal Loss with ResNet-like Encoder-Decoder Architecture in 3D Brain Tumor Segmentation
15. MRI Brain Tumor Segmentation Using Deep Encoder-Decoder Convolutional Neural Networks
16. Radiogenomic Prediction of MGMT Using Deep Learning with Bayesian Optimized Hyperparameters
17. Modified MobileNet for Patient Survival Prediction
18. Overall Survival Prediction for Glioblastoma on Pre-treatment MRI Using Robust Radiomics and Priors
19. Estimating Glioblastoma Biophysical Growth Parameters Using Deep Learning Regression
20. Computational Diagnostics of GBM Tumors in the Era of Radiomics and Radiogenomics
21. Using Separated Inputs for Multimodal Brain Tumor Segmentation with 3D U-Net-like Architectures
22. The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview
23. Brain Tumor Segmentation Based on 3D Residual U-Net
24. A Baseline for Predicting Glioblastoma Patient Survival Time with Classical Statistical Models and Primitive Features Ignoring Image Information
25. Towards Population-Based Histologic Stain Normalization of Glioblastoma
26. Skull-Stripping of Glioblastoma MRI Scans Using 3D Deep Learning
27. No New-Net
28. Glioma Segmentation and a Simple Accurate Model for Overall Survival Prediction
29. Multi-stage Association Analysis of Glioblastoma Gene Expressions with Texture and Spatial Patterns
30. Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge
31. Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of Glioblastoma
32. Glioblastoma and Survival Prediction
33. A Fast Semi-Automatic Segmentation Tool for Processing Brain Tumor Images
34. Rotation Clustering: A Consensus Clustering Approach to Cluster Gene Expression Data
35. Improving Boundary Classification for Brain Tumor Segmentation and Longitudinal Disease Progression
36. Brain Tumor Segmentation by Variability Characterization of Tumor Boundaries
37. An Online Platform for the Automatic Reporting of Multi-parametric Tissue Signatures: A Case Study in Glioblastoma
38. Generation of Masks Using nnU-Net Framework for Brain Tumour Classification
39. Deep Active Learning for Glioblastoma Quantification
40. 'Older and Younger People': Towards a Cross-Generational Online Peer Support About Cancer. The Example of Glioblastoma on French Digital Platforms
41. Glioblastoma Multiforme Patient Survival Prediction
42. A Clinical Measuring Platform for Building the Bridge Across the Quantification of Pathological N-Cells in Medical Imaging for Studies of Disease
43. Pre-operative Overall Survival Time Prediction for Glioblastoma Patients Using Deep Learning on Both Imaging Phenotype and Genotype
44. Gene- and Pathway-Based Deep Neural Network for Multi-omics Data Integration to Predict Cancer Survival Outcomes
45. Differentiation between Brain Metastasis and Glioblastoma using MRI and two-dimensional Turbo Spectroscopic Imaging data
46. Simulating Cancer Radiotherapy on a Multi-level Basis: Biology, Oncology and Image Processing
47. Surgical Management of Intracranial Gliomas — Does Radical Resection Improve Outcome?
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