| Noise dependent training for deep parallel ensemble denoising in magnetic resonance images H Aetesam, SK Maji Biomedical Signal Processing and Control 66, 102405, 2021 | 25 | 2021 |
| Bayesian approach in a learning-based hyperspectral image denoising framework H Aetesam, SK Maji, H Yahia IEEE Access 9, 169335-169347, 2021 | 18 | 2021 |
| A comparative analysis of flat, hierarchical and location-based routing in wireless sensor networks H Aetesam, I Snigdh Wireless Personal Communications 97, 5201-5211, 2017 | 14 | 2017 |
| Attention-based noise prior network for magnetic resonance image denoising H Aetesam, SK Maji 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-4, 2022 | 11 | 2022 |
| Proximal approach to denoising hyperspectral images under mixed‐noise model H Aetesam, K Poonam, SK Maji IET Image Processing 14 (14), 3366-3372, 2020 | 8 | 2020 |
| A two-phase splitting approach for the removal of gaussian-impulse noise from hyperspectral images H Aetesam, SK Maji, J Boulanger International Conference on Computer Vision and Image Processing, 179-190, 2020 | 7 | 2020 |
| ℓ2 − ℓ1 Fidelity based Elastic Net Regularisation for Magnetic Resonance Image Denoising H Aetesam, SK Maji 2020 International Conference on Contemporary Computing and Applications …, 2020 | 7 | 2020 |
| A mixed-norm fidelity model for hyperspectral image denoising under Gaussian-impulse noise H Aetesam, K Poonam, SK Maji 2019 International Conference on Information Technology (ICIT), 137-142, 2019 | 7 | 2019 |
| Perceptually-motivated adversarial training for deep ensemble denoising of hyperspectral images H AETESAM, SK MAJI REMOTE SENSING LETTERS 13 (8), 767-777, 2022 | 6 | 2022 |
| Perceptually Motivated Generative Model for Magnetic Resonance Image Denoising H Aetesam, K Maji, Suman Journal of Digital imaging, 2022 | 5 | 2022 |
| Lp-norm-based successive denoising approach for hyperspectral images SK Maji, H Aetesam Remote Sensing Letters 14 (4), 334-345, 2023 | 4 | 2023 |
| Image enhancement under Gaussian impulse noise for satellite and medical applications H Aetesam, SK Maji, J Boulanger Handbook of Research on Computer Vision and Image Processing in the Deep …, 2023 | 4 | 2023 |
| Deep variational magnetic resonance image denoising via network conditioning H Aetesam, SK Maji Biomedical Signal Processing and Control 95, 106452, 2024 | 3 | 2024 |
| Attention-based deep autoencoder for hyperspectral image denoising S Kumar, H Aetesam, A Saha, SK Maji International Conference on Computer Vision and Image Processing, 159-170, 2021 | 3 | 2021 |
| Ultrasound image deconvolution adapted to gaussian and speckle noise statistics H Aetesam, SK Maji 2020 7th International Conference on Signal Processing and Integrated …, 2020 | 3 | 2020 |
| A Survey on Topology Maintenance in Wireless Sensor Networks H Aetesam, I Snigdh International Journal of Wireless and Microwave Technologies (IJWMT) 6, 29-37, 2016 | 3 | 2016 |
| CompoHyDen: Hyperspectral Image Restoration via Non-Convex Component-wise Minimization H Aetesam, A Wasi, S Sharma IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024 | 1 | 2024 |
| Hyperspectral Image Restoration Guided by Joint Statistical Characterization of Noise H Aetesam IEEE Geoscience and Remote Sensing Letters, 2024 | | 2024 |
| Hyperspectral image restoration using noise gradient and dual priors under mixed noise conditions H Aetesam, SK Maji, VBS Prasath CAAI Transactions on Intelligence Technology, 2024 | | 2024 |
| The Evolution of Image Denoising From Model-Driven to Machine Learning: A Mathematical Perspective H Aetesam, SK Maji, J Boulanger Handbook of Research on Computer Vision and Image Processing in the Deep …, 2023 | | 2023 |
Suman Kumar MajiAssistant Professor, Computer Science, IIT Patnaכתובת אימייל מאומתת בדומיין iitp.ac.in