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Brain Lesion Image Analysis |
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Fully Automated Patch-Based Image Restoration: Application to Pathology Inpainting |
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3 | (13) |
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Claudia A.M. Gandini Wheeler-Kingshott |
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Towards a Second Brain Images of Tumours for Evaluation (BITE2) Database |
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16 | (7) |
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Topological Measures of Connectomics for Low Grades Glioma |
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23 | (9) |
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Multi-modal Registration Improves Group Discrimination in Pediatric Traumatic Brain Injury |
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32 | (11) |
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An Online Platform for the Automatic Reporting of Multi-parametric Tissue Signatures: A Case Study in Glioblastoma |
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43 | (9) |
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A Fast Approach to Automatic Detection of Brain Lesions |
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52 | (13) |
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Iman Aganj Brain Tumor Image Segmentation |
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Improving Boundary Classification for Brain Tumor Segmentation and Longitudinal Disease Progression |
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65 | (10) |
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Brain Tumor Segmentation Using a Fully Convolutional Neural Network with Conditional Random Fields |
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75 | (13) |
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Brain Tumor Segmentation with Optimized Random Forest |
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88 | (12) |
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CRF-Based Brain Tumor Segmentation: Alleviating the Shrinking Bias |
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100 | (8) |
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Fully Convolutional Deep Residual Neural Networks for Brain Tumor Segmentation |
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108 | (11) |
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Nabla-net: A Deep Dag-Like Convolutional Architecture for Biomedical Image Segmentation |
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119 | (10) |
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Brain Tumor Segmantation Using Random Forest Trained on Iteratively Selected Patients |
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129 | (9) |
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DeepMedic for Brain Tumor Segmentation |
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138 | (12) |
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3D Convolutional Neural Networks for Brain Tumor Segmentation: A Comparison of Multi-resolution Architectures |
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150 | (12) |
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Anatomy-Guided Brain Tumor Segmentation and Classification |
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162 | (9) |
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Lifted Auto-Context Forests for Brain Tumour Segmentation |
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171 | (13) |
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Segmentation of Gliomas in Pre-operative and Post-operative Multimodal Magnetic Resonance Imaging Volumes Based on a Hybrid Generative-Discriminative Framework |
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184 | (11) |
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Interactive Semi-automated Method Using Non-negative Matrix |
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Factorization and Level Set Segmentation for the BRATS Challenge |
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195 | (11) |
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Hassan M. Fathallah-Shaykh |
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Brain Tumor Segmentation by Variability Characterization of Tumor Boundaries |
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206 | (13) |
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Ischemic Stroke Lesion Image Segmentation |
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Predicting Stroke Lesion and Clinical Outcome with Random Forests |
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219 | (12) |
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Ensemble of Deep Convolutional Neural Networks for Prognosis of Ischemic Stroke |
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231 | (13) |
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Prediction of Ischemic Stroke Lesion and Clinical Outcome in Multi-modal MRI Images Using Random Forests |
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244 | (15) |
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Mild Traumatic Brain Injury Outcome Prediction |
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Combining Deep Learning Networks with Permutation Tests to Predict Traumatic Brain Injury Outcome |
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259 | (12) |
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Mild Traumatic Brain Injury Outcome Prediction Based on Both Graph and K-nn Methods |
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271 | (11) |
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Unsupervised 3-D Feature Learning for Mild Traumatic Brain Injury |
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282 | (9) |
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| Author Index |
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291 | |
Biežāk uzdotie jautājumi par e-grāmatām