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within Computer Science Remove this filter Artificial Intelligence Remove this filter Pattern Recognition Remove this filter Jeya Maria Jose Valanarasu Remove this filter

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  1. No Access

    Chapter and Conference Paper

    Medical Transformer: Gated Axial-Attention for Medical Image Segmentation

    Over the past decade, deep convolutional neural networks have been widely adopted for medical image segmentation and shown to achieve adequate performance. However, due to inherent inductive biases present in ...

    Jeya Maria Jose Valanarasu, Poojan Oza… in Medical Image Computing and Computer Assis… (2021)

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    Chapter and Conference Paper

    Over-and-Under Complete Convolutional RNN for MRI Reconstruction

    Reconstructing magnetic resonance (MR) images from under-sampled data is a challenging problem due to various artifacts introduced by the under-sampling operation. Recent deep learning-based methods for MR ima...

    Pengfei Guo, Jeya Maria Jose Valanarasu… in Medical Image Computing and Computer Assis… (2021)

  3. No Access

    Chapter and Conference Paper

    KiU-Net: Towards Accurate Segmentation of Biomedical Images Using Over-Complete Representations

    Due to its excellent performance, U-Net is the most widely used backbone architecture for biomedical image segmentation in the recent years. However, in our studies, we observe that there is a considerable per...

    Jeya Maria Jose Valanarasu… in Medical Image Computing and Computer Assis… (2020)