Search Results for author: Vishwanatha M. Rao

Found 3 papers, 1 papers with code

TABSurfer: a Hybrid Deep Learning Architecture for Subcortical Segmentation

no code implementations13 Dec 2023 Aaron Cao, Vishwanatha M. Rao, Kejia Liu, Xinru Liu, Andrew F. Laine, Jia Guo

Subcortical segmentation remains challenging despite its important applications in quantitative structural analysis of brain MRI scans.

Segmentation

Detecting Schizophrenia with 3D Structural Brain MRI Using Deep Learning

no code implementations26 Jun 2022 Junhao Zhang, Vishwanatha M. Rao, Ye Tian, Yanting Yang, Nicolas Acosta, Zihan Wan, Pin-Yu Lee, Chloe Zhang, Lawrence S. Kegeles, Scott A. Small, Jia Guo

Our finding corroborates that schizophrenia is associated with widespread alterations in subcortical brain structure and the subcortical structural information provides prominent features in diagnostic classification.

Improving Across-Dataset Brain Tissue Segmentation Using Transformer

1 code implementation21 Jan 2022 Vishwanatha M. Rao, Zihan Wan, Soroush Arabshahi, David J. Ma, Pin-Yu Lee, Ye Tian, Xuzhe Zhang, Andrew F. Laine, Jia Guo

Transformers have demonstrated success in natural image segmentation and have recently been applied to 3D medical image segmentation tasks due to their ability to capture long-distance relationships in the input where the local receptive fields of CNNs struggle.

Image Segmentation Medical Image Segmentation +2

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