Chandravardhan Singh Raghaw

Employment

• Indian Institute of Science Bangalore PostDoc Researcher
  2026 - Present
• Indian Institute of Technology Indore Research Scholar
  2022 - 2026

Education

• Indian Institute of Technology Indore

Projects & Funding

Projects & funding information is unavailable.

Publications (28)

• H-SemiS: Hierarchical fusion of semi and self-supervised learning for knee osteoarthritis severity grading
  Expert Systems with Applications 2026 DOI: 10.1016/j.eswa.2026.132279
  +Save
• A Benchmark Dataset and Graph-Based Multi-Representation Learning with Tri-Axial Attention for Disaster Damage Assessment
  Ssrn 2026 DOI: 10.2139/ssrn.6075175
  +Save
• H-SemiS: Hierarchical Fusion of Semi and Self-Supervised Learning for Knee Osteoarthritis Severity Grading
  Arxiv 2026 DOI: 10.48550/arXiv.2604.23335
  +Save
• Quantum-driven Textural-Spatial Feature Fusion Network for Thyroid Nodule Classification
  Ssrn 2026 DOI: 10.2139/ssrn.6041987
  +Save
• Quantum‐Guided Textural–Spatial Fusion Network for Thyroid Nodule Classification in Ultrasound Imaging
  International Journal of Imaging Systems and Technology 2026 DOI: 10.1002/ima.70428
  +Save
• T-MPEDNet: Unveiling the Synergy of Transformer-aware Multiscale Progressive Encoder-Decoder Network with Feature Recalibration for Tumor and Liver Segmentation
  Arxiv 2025 DOI: 10.48550/arXiv.2507.19590
  +Save
• Sentiment and hashtag-aware attentive deep neural network for multimodal post popularity prediction
  Neural Computing and Applications 2025 DOI: 10.1007/s00521-024-10755-5
  +Save
• An Explainable Deep Neural Network with Frequency-Aware Channel and Spatial Refinement for Flood Prediction in Sustainable Cities
  Arxiv 2025 DOI: 10.48550/arXiv.2509.08003
  +Save
• A multi-temporal multi-spectral attention-augmented deep convolution neural network with contrastive learning for crop yield prediction
  Computers and Electronics in Agriculture 2025 DOI: 10.1016/j.compag.2025.110895
  +Save
• A Multi-Temporal Multi-Spectral Attention-Augmented Deep Convolution Neural Network with Contrastive Learning for Crop Yield Prediction
  Arxiv 2025 DOI: 10.48550/arXiv.2509.15966
  +Save