| 2021 | ICASSP | Ensure: Ensemble Stein's Unbiased Risk Estimator for Unsupervised Learning. | Hemant Kumar Aggarwal, Aniket Pramanik, Mathews Jacob |
| 2020 | ICASSP | Joint Optimization of Sampling Patterns and Deep Priors for Improved Parallel MRI. | Hemant Kumar Aggarwal, Mathews Jacob |
| 2018 | ICASSP | Model-Based Free-Breathing Cardiac MRI Reconstruction Using Deep Learned & Storm Priors: MODL-STORM. | Sampurna Biswas, Hemant Kumar Aggarwal, Sunrita Poddar, Mathews Jacob |
| 2016 | IJCNN | Robust estimation for subspace based classifiers. | Hemant Kumar Aggarwal, Angshul Majumdar |
| 2016 | IGARSS | Compressive hyper-spectral imaging in the presence of real noise. | Hemant Kumar Aggarwal, Angshul Majumdar |
| 2015 | ICASSP | Hyper-spectral impulse denoising: A row-sparse Blind Compressed Sensing formulation. | Angshul Majumdar, Naushad Ansari, Hemant Kumar Aggarwal |
| 2015 | IGARSS | Mixed Gaussian and impulse denoising of hyperspectral images. | Hemant Kumar Aggarwal, Angshul Majumdar |
| 2015 | IGARSS | Blind compressive hyper-spectral imaging. | Hemant Kumar Aggarwal, Angshul Majumdar |
| 2014 | ICIP | Split Bregman algorithms for sparse / joint-sparse and low-rank signal recovery: Application in compressive hyperspectral imaging. | Anupriya Gogna, Ankita Shukla, Hemant Kumar Aggarwal, Angshul Majumdar |
| 2014 | ICPR | Extension of Sparse Randomized Kaczmarz Algorithm for Multiple Measurement Vectors. | Hemant Kumar Aggarwal, Angshul Majumdar |
| 2014 | IGARSS | Single-sensor multi-spectral image demosaicing algorithm using learned interpolation weights. | Hemant Kumar Aggarwal, Angshul Majumdar |