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01/17/2019
Multiple Sclerosis Lesion Synthesis in MRI using an encoder-decoder U-NET
In this paper, we propose generating synthetic multiple sclerosis (MS) l...
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11/05/2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
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10/31/2018
SUNet: a deep learning architecture for acute stroke lesion segmentation and outcome prediction in multimodal MRI
Acute stroke lesion segmentation and prediction tasks are of great clini...
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10/04/2018
Survival prediction using ensemble tumor segmentation and transfer learning
Segmenting tumors and their subregions is a challenging task as demonstr...
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05/31/2018
One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks
In recent years, several convolutional neural network (CNN) methods have...
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01/19/2018
Quantitative analysis of patch-based fully convolutional neural networks for tissue segmentation on brain magnetic resonance imaging
Accurate brain tissue segmentation in Magnetic Resonance Imaging (MRI) h...
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12/11/2017
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review
In recent years, deep convolutional neural networks (CNNs) have shown re...
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09/26/2017
Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features
Sub-cortical brain structure segmentation in Magnetic Resonance Images (...
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08/29/2017