Combining Spinach-tagged RNA and gene localization to image gene expression in live yeast D Guet, LT Burns, S Maji, J Boulanger, P Hersen, SR Wente, J Salamero, ... Nature communications 6 (1), 8882, 2015 | 75 | 2015 |
Agsdnet: Attention and gradient-based sar denoising network RK Thakur, SK Maji IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 44 | 2022 |
Multi scale pixel attention and feature extraction based neural network for image denoising RK Thakur, SK Maji Pattern recognition 141, 109603, 2023 | 27 | 2023 |
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 |
Structure-preserving denoising of sar images using multifractal feature analysis SK Maji, RK Thakur, HM Yahia IEEE Geoscience and Remote Sensing Letters 17 (12), 2100-2104, 2020 | 18 | 2020 |
SIFSDNet: Sharp image feature based SAR denoising network RK Thakur, SK Maji IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 16 | 2022 |
Description of turbulent dynamics in the interstellar medium: multifractal-microcanonical analysis-I. Application to Herschel observations of the musca filament H Yahia, N Schneider, S Bontemps, L Bonne, G Attuel, S Dib, ... Astronomy & Astrophysics 649, A33, 2021 | 16 | 2021 |
A multifractal-based wavefront phase estimation technique for ground-based astronomical observations SK Maji, HM Yahia, T Fusco IEEE Transactions on Geoscience and Remote Sensing 54 (3), 1705-1715, 2015 | 16 | 2015 |
Reconstructing an image from its edge representation SK Maji, HM Yahia, H Badri Digital Signal Processing 23 (6), 1867-1876, 2013 | 16 | 2013 |
Defining Lagrangian coherent vortices from their trajectories A El Aouni, K Daoudi, H Yahia, SK Maji, K Minaoui Physics of Fluids 32 (1), 2020 | 15 | 2020 |
A feature based reconstruction model for fluorescence microscopy image denoising SK Maji, H Yahia Scientific Reports 9 (1), 7725, 2019 | 15 | 2019 |
SAR image denoising based on multifractal feature analysis and TV regularisation SK Maji, RK Thakur, HM Yahia IET Image Processing 14 (16), 4158-4167, 2020 | 14 | 2020 |
Edges, transitions and criticality SK Maji, HM Yahia Pattern Recognition 47 (6), 2104-2115, 2014 | 13 | 2014 |
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 |
Gradient and multi scale feature inspired deep blind gaussian denoiser RK Thakur, SK Maji IEEE Access 10, 34170-34184, 2022 | 11 | 2022 |
A Joint Denoising Technique for Mixed Gaussian–Impulse Noise Removal in HSI SK Maji, A Mahajan IEEE Geoscience and Remote Sensing Letters 20, 1-5, 2023 | 8 | 2023 |
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 |
Towards multiscale reconstruction of perturbated phase from hartmann-shack acquisitions SK Maji, H Yahia, O Pont, J Sudre, T Fusco, V Michau 2012 NASA/ESA Conference on Adaptive Hardware and Systems (AHS), 77-84, 2012 | 8 | 2012 |
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 |