| 2024 | ICPR | Visualizing Dynamics of Federated Medical Models via Conversational Memory Elements. | Sanidhya Kumar, Varun Vilvadrinath, Jignesh S. Bhatt, Ashish Phophalia |
| 2023 | IGARSS | Self-Supervised Deep Network for Automatic Target Recognition in SAR. | Sai Kumar Bashetti, Jignesh S. Bhatt |
| 2021 | IGARSS | Spectral Unmixing Using Autoencoder with Spatial and Spectral Regularizations. | Jignesh R. Patel, Manjunath V. Joshi, Jignesh S. Bhatt |
| 2020 | IGARSS | A Novel Approach for Hyperspectral Image Superresolution Using Spectral Unmixing and Transfer Learning. | Jignesh R. Patel, Manjunath V. Joshi, Jignesh S. Bhatt |
| 2020 | IGARSS | Deep Learning in Hyperspectral Unmixing: A Review. | Jignesh S. Bhatt, Manjunath V. Joshi |
| 2019 | IGARSS | A Practical Approach for SAR Image Despeckling Using Deep Learning. | Khilan Ravani, Shivam Saboo, Jignesh S. Bhatt |
| 2019 | IGARSS | A Novel Approach for Abundance Estimation in Wavelet Domain. | S. S. Vijayashekhar, Jignesh S. Bhatt |
| 2019 | IGARSS | A Statistical Approach to Improve Virtual Dimensionality of Hyperspectral Data. | S. S. Vijayashekhar, Jignesh S. Bhatt, Bhargab Chattopadhyay |
| 2018 | IGARSS | A Novel Approach for Abundance Estimation Using Discontinuity Preserving Prior. | Jignesh R. Patel, Manjunath V. Joshi, Jignesh S. Bhatt |
| 2018 | Tencon | Investigation of a Joint Splitting Criteria for Decision Tree Classifier Use of Information Gain and Gini Index. | Vikas Jain, Ashish Phophalia, Jignesh S. Bhatt |
| 2017 | ICMV | Early detection of lung cancer from CT images: nodule segmentation and classification using deep learning. | Manu Sharma, Jignesh S. Bhatt, Manjunath V. Joshi |