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Graph Domain Adaptation for Alignment-Invariant Brain Surface Segmentation
The varying cortical geometry of the brain creates numerous challenges f...
03/31/2020 ∙ by Karthik Gopinath, et al. ∙
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Learnable Pooling in Graph Convolution Networks for Brain Surface Analysis
Brain surface analysis is essential to neuroscience, however, the comple...
11/22/2019 ∙ by Karthik Gopinath, et al. ∙
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Spectral Graph Transformer Networks for Brain Surface Parcellation
The analysis of the brain surface modeled as a graph mesh is a challengi...
11/22/2019 ∙ by Ran He, et al. ∙
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A deep learning framework for segmentation of retinal layers from OCT images
Segmentation of retinal layers from Optical Coherence Tomography (OCT) v...
06/22/2018 ∙ by Karthik Gopinath, et al. ∙
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HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation
Recently, dense connections have attracted substantial attention in comp...
04/09/2018 ∙ by Jose Dolz, et al. ∙
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Graph Convolutions on Spectral Embeddings: Learning of Cortical Surface Data
Neuronal cell bodies mostly reside in the cerebral cortex. The study of ...
03/27/2018 ∙ by Karthik Gopinath, et al. ∙
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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...
12/04/2017 ∙ by Shivin Yadav, et al. ∙
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Domain knowledge assisted cyst segmentation in OCT retinal images
3D imaging modalities are becoming increasingly popular and relevant in ...
12/08/2016 ∙ by Karthik Gopinath, et al. ∙
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