| 2026 | ICPR | PAFNet: Physics-Aware Free-Water Estimation from Single-Shell Diffusion MRI via Attention and Anisotropic Advection-Diffusion Networks. | Soma Samanta, Deepa Pandey, Ranjeet Ranjan Jha, Sudhir Kumar Pathak, B. V. Rathish Kumar, Durgesh Kumar Dwivedi |
| 2025 | CVPR | Fortifying Federated Learning Towards Trustworthiness via Auditable Data Valuation and Verifiable Client Contribution. | K. Naveen Kumar, Ranjeet Ranjan Jha, C. Krishna Mohan, Ravindra Babu Tallamraju |
| 2025 | IJCNN | NoisConFuse-Net: Noise Perturbed Encoder with Complementary Fused Dual Decoder and CLIP based Contrastive Regulariser for CT Denoising. | Munish Daroch, Ranjeet Ranjan Jha, Aditya Nigam |
| 2024 | ICPR | TractoEmbed: Modular Multi-level Embedding Framework for White Matter Tract Segmentation. | Anoushkrit Goel, Bipanjit Singh, Ankita Joshi, Ranjeet Ranjan Jha, Chirag Ahuja, Aditya Nigam, Arnav Bhavsar |
| 2024 | ICPR | Tract-RLFormer: A Tract-Specific RL Policy Based Decoder-Only Transformer Network. | Ankita Joshi, Ashutosh Sharma, Anoushkrit Goel, Ranjeet Ranjan Jha, Chirag Kamal Ahuja, Arnav Bhavsar, Aditya Nigam |
| 2024 | IJCNN | Enhancing Anomaly Detection in Noisy Images: Unleashing the Power of Attention-Aware PDE Constraint Feature Denoiser Module. | Ranjeet Ranjan Jha, Andra Siva Sai Teja, Venkatesh Wadawadagi, Ravindra Babu Tallamraju |
| 2020 | IJCNN | HLGSNet: Hierarchical and Lightweight Graph Siamese Network with Triplet Loss for fMRI-based Classification of ADHD. | Ranjeet Ranjan Jha, Aditya Nigam, Arnav Bhavsar, Gaurav Jaswal, Sudhir K. Pathak, Rathish Kumar |
| 2019 | CAIP | FS2Net: Fiber Structural Similarity Network (FS2Net) for Rotation Invariant Brain Tractography Segmentation Using Stacked LSTM Based Siamese Network. | Ranjeet Ranjan Jha, Shreyas Malakarjun Patil, Aditya Nigam, Arnav Bhavsar |
| 2019 | ICIP | AUTODEPTH: Single Image Depth Map Estimation via Residual CNN Encoder-Decoder and Stacked Hourglass. | Seema Kumari, Ranjeet Ranjan Jha, Arnav Bhavsar, Aditya Nigam |