Anusha Vupputuri

Employment

• Indian Institute of Technology Kharagpur Research Scholar (Ph. D)
  2015 - Present

Education

• Indian Institute of Technology Kharagpur Ph. D.
  2015 - Present
• National Institute of Technology Rourkela M. Tech
  2013 - Present

Projects & Funding

Projects & funding information is unavailable.

Publications (13)

• Efficient Aerial Image Dehazing via Haze Region Aware Feature Learning and Hadamard Gating
  IEEE Geoscience and Remote Sensing Letters 2026 DOI: 10.1109/LGRS.2026.3719865
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• Attention Driven Reparameterized Residual Learning for Illumination Enhancement in Wireless Capsule Endoscopy
  2024 IEEE 21st India Council International Conference Indicon 2024 2024 DOI: 10.1109/INDICON63790.2024.10958509
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• Towards Single Sand-Dust Image Restoration via Vision Transformer with Multi-Scale Feature Aggregation
  2024 IEEE 21st India Council International Conference Indicon 2024 2024 DOI: 10.1109/INDICON63790.2024.10958499
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• MCA-DN: Multi-path convolution leveraged attention deep network for salvageable tissue detection in ischemic stroke from multi-parametric MRI
  Computers in Biology and Medicine 2021 DOI: 10.1016/j.compbiomed.2021.104724
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• Multi-view iterative random walker for automated salvageable tissue delineation in ischemic stroke from multi-sequence MRI
  Journal of Neuroscience Methods 2021 DOI: 10.1016/j.jneumeth.2021.109260
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• Ischemic stroke segmentation in multi-sequence MRI by symmetry determined superpixel based hierarchical clustering
  Computers in Biology and Medicine 2020 DOI: 10.1016/j.compbiomed.2019.103536
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• Adversarially Trained Convolutional Neural Networks for Semantic Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic Resonance Imaging
  Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS 2019 DOI: 10.1109/EMBC.2019.8857527
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• Adversarially trained convolutional neural networks for semantic segmentation of ischaemic stroke lesion using multisequence magnetic resonance imaging
  Arxiv 2019 DOI: 10.48550/arxiv.1908.01176
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• Delineation of Ischemic Core and Penumbra Volumes from MRI using MSNet Architecture
  Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS 2019 DOI: 10.1109/EMBC.2019.8857708
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• Delineation of hemorrhagic mass from CT volume
  Advances in Intelligent Systems and Computing 2019 DOI: 10.1007/978-3-319-94373-2_14
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