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05/02/2023
Cortical analysis of heterogeneous clinical brain MRI scans for large-scale neuroimaging studies
Surface analysis of the cortex is ubiquitous in human neuroimaging with ...
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03/31/2020
Graph Domain Adaptation for Alignment-Invariant Brain Surface Segmentation
The varying cortical geometry of the brain creates numerous challenges f...
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11/22/2019
Learnable Pooling in Graph Convolution Networks for Brain Surface Analysis
Brain surface analysis is essential to neuroscience, however, the comple...
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11/22/2019
Spectral Graph Transformer Networks for Brain Surface Parcellation
The analysis of the brain surface modeled as a graph mesh is a challengi...
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06/22/2018
A deep learning framework for segmentation of retinal layers from OCT images
Segmentation of retinal layers from Optical Coherence Tomography (OCT) v...
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04/09/2018
HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation
Recently, dense connections have attracted substantial attention in comp...
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03/27/2018
Graph Convolutions on Spectral Embeddings: Learning of Cortical Surface Data
Neuronal cell bodies mostly reside in the cerebral cortex. The study of ...
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12/04/2017
A Generalized Motion Pattern and FCN based approach for retinal fluid detection and segmentation
SD-OCT is a non-invasive cross-sectional imaging modality used for diagn...
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12/08/2016