ORIGINAL RESEARCH
Published on 27 Jan 2021
Improvement of Multiparametric MR Image Segmentation by Augmenting the Data With Generative Adversarial Networks for Glioma Patients
doi 10.3389/fncom.2020.495075
- 2,705 views
- 13 citations
- Frontiers in Computational Neuroscience
- Research Topics
- Multimodal Brain Tumor Segmentation and Beyond
Multimodal Brain Tumor Segmentation and Beyond
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Articles
ORIGINAL RESEARCH
Published on 14 Dec 2020
Can Tumor Location on Pre-treatment MRI Predict Likelihood of Pseudo-Progression vs. Tumor Recurrence in Glioblastoma?—A Feasibility Study
doi 10.3389/fncom.2020.563439
- 2,864 views
- 4 citations
ORIGINAL RESEARCH
Published on 04 Aug 2020
Overall Survival Prediction in Glioblastoma With Radiomic Features Using Machine Learning
doi 10.3389/fncom.2020.00061
- 16,577 views
- 100 citations
TECHNOLOGY AND CODE
Published on 29 Apr 2020
BraTS Toolkit: Translating BraTS Brain Tumor Segmentation Algorithms Into Clinical and Scientific Practice
doi 10.3389/fnins.2020.00125
- 18,122 views
- 98 citations
METHODS
Published on 28 Apr 2020
3D-BoxSup: Positive-Unlabeled Learning of Brain Tumor Segmentation Networks From 3D Bounding Boxes
doi 10.3389/fnins.2020.00350
- 2,824 views
- 7 citations
ORIGINAL RESEARCH
Published on 16 Apr 2020
Measuring Efficiency of Semi-automated Brain Tumor Segmentation by Simulating User Interaction
doi 10.3389/fncom.2020.00032
- 2,742 views
- 6 citations
CORRECTION
Published on 15 Apr 2020
Corrigendum: Improving Patch-Based Convolutional Neural Networks for MRI Brain Tumor Segmentation by Leveraging Location Information
doi 10.3389/fnins.2020.00328
- 1,714 views
- 2 citations
ORIGINAL RESEARCH
Published on 08 Apr 2020
Brain Tumor Segmentation Using an Ensemble of 3D U-Nets and Overall Survival Prediction Using Radiomic Features
doi 10.3389/fncom.2020.00025
- 17,517 views
- 193 citations
ORIGINAL RESEARCH
Published on 08 Apr 2020
Analyzing the Quality and Challenges of Uncertainty Estimations for Brain Tumor Segmentation
doi 10.3389/fnins.2020.00282
- 7,834 views
- 77 citations
ORIGINAL RESEARCH
Published on 20 Mar 2020
Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation
doi 10.3389/fncom.2020.00017
- 9,932 views
- 41 citations
ORIGINAL RESEARCH
Published on 21 Feb 2020
Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches
doi 10.3389/fnins.2020.00027
- 16,113 views
- 81 citations
ORIGINAL RESEARCH
Published on 18 Feb 2020
A Novel Approach for Fully Automatic Intra-Tumor Segmentation With 3D U-Net Architecture for Gliomas
doi 10.3389/fncom.2020.00010
- 6,944 views
- 85 citations
Published in
Frontiers in Computational Neuroscience
Participating Journals
Frontiers in Neuroimaging
Frontiers in Neuroscience
- 3.2 impact factor
- 6.2 citescore