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Publications
Book Chapters
M. Kumar, S. K. Maji and H. Yahia, “3D Volumetric Computed Tomography from 2D X-rays: A Deep Learning Perspective”, In:
Chander B., Guravaiah, Anoop B. N., Kumaravelan G. (eds) Handbook of AI-Based Models in Healthcare and Medicine: Approaches,
Theories, and Applications, CRC Press, Taylor and Francis Group, FL, USA, 2023.
H. Aetesam, S. K. Maji and J. Boulanger, “The Evolution of Image Denoising from Model-driven to Machine Learning:
A Mathematical Perspective”, Handbook of Research on Computer Vision and Image Processing in the Deep Learning Era, IGI Global,
PENN, USA,
page 179-210, 2023.
H. Aetesam, S. K. Maji and J. Boulanger, “Image Enhancement under Gaussian Impulse Noise for Satellite and Medical
Applications”, Handbook of Research on Computer Vision and Image Processing in the Deep Learning Era, IGI Global, PENN, USA,
page 309-342, 2023.
SCI Indexed Journals
A. Saha, A. K. R. and S. K. Maji, “PCENet: Deep SAR Despeckling Network Using Parallel Convolutional Encoding Modules”,
IEEE Geoscience and Remote Sensing Letters, 21, 1-5, 2024. H index 114
H. Aetesam, S. K. Maji, V. B. Surya Prasath, “Hyperspectral image restoration using noise gradient and dual priors under mixed noise conditions”,
CAAI Transactions on Intelligence Technology, 1-22, 2024.
A. Rashidi, H. Yahia, S. Bontemps, N. Schneider, L. Bonne, P. Hennebelle, J. Scholtys, G. Attuel, A. Turiel, R. Simon, A. Cailly, A. Zebadua, A. Cherif,
C. Lacroix, M. Martin, A. El Aouni, C. Sakka and S. K. Maji, “Description of turbulent dynamics in the interstellar medium: Multifractal microcanonical analysis - II.
Sparse filtering of Herschel observation maps and visualization of filamentary structures at different length scales”,
Astronomy and Astrophysics-A&A, 688, A91, 2024. H index 344
H. Aetesam and S. K. Maji, “Deep variational magnetic resonance image denoising via network conditioning”, Biomedical Signal Processing and Control (Elsevier),
95, 106452, 2024. H index 72
S. K. Maji and H. Yahia, "Image denoising in fluorescence microscopy using feature based gradient reconstruction,
Journal of Medical Imaging, 10 (6), 064004, 2023. H index 49
R. K. Thakur and S. K. Maji, “Multi Scale Pixel Attention and Feature Extraction based Neural Network for Image Denoising”,
Pattern Recognition (Elsevier), 141, 109603, 2023. H index 218
S. K. Maji and H. Aetesam, “lp-norm Induced Successive Denoising for Hyperspectral Images”,
Remote Sensing Letters, 14 (4), 334-345, 2023. H index 43
H. Aetesam and S. K. Maji, “Perceptually Motivated Generative Model for Magnetic Resonance Image Denoising”,
Journal of Digital Imaging, 36 (2), 725-738, 2022. H index 63
S. K. Maji and A. Mahajan, “A Joint Denoising Technique for Mixed Gaussian-Impulse Noise Removal in HSI”,
IEEE Geoscience and Remote Sensing Letters, 20, 1-5, 2023. H index 114
H. Aetesam and S. K. Maji, “Perceptually-Motivated Adversarial Training for Deep Ensemble Denoising of Hyperspectral Images”,
Remote Sensing Letters, 13 (8), 767-777, 2022. H index 43
R. K. Thakur and S. K. Maji, “Gradient and Multi Scale Feature Inspired Deep Blind Gaussian Denoiser”, IEEE Access,
10, 34170-34184, 2022. H index 127
R. K. Thakur and S. K. Maji, “AGSDNet: Attention and Gradient based SAR Denoising Network”, IEEE Geoscience and Remote Sensing
Letters, 19, 1-5, 2022. H index 114
H. Aetesam, S. K. Maji and H. Yahia, “Bayesian Approach in a Learning-Based Hyperspectral Image Denoising Framework”,
IEEE Access, 9, 169335-169347, 2021. H index 127
H. Yahia, N. Schneider, S. Bontemps, L. Bonne, G. Attuel, S. Dib, V. Ossenkopf, A. Turiel, A. Zebadua, D. Elia, S. K. Maji, F. G. Schmitt, J.-F Robitaille,
“Description of turbulent dynamics in the interstellar medium: multifractal/microcanonical analysis I. Application to Herschel observations of the Musca filament”,
Astronomy & Astrophysics (EDP Sciences), 2021. H index 272
H. Aetesam and S. K. Maji, “Noise Dependent Training for Deep Parallel Ensemble Denoising in Magnetic
Resonance Images”, Biomedical Signal Processing and Control (Elsevier), 66, 102405, 2021. H index 72
S. K. Maji, R. K. Thakur and H. Yahia, “SAR Image Denoising using Multifractal Feature Analysis
based TV Regularization”, IET Image Processing, 14 (16), 4158-4167, 2020. H index 45
H. Aetesam, K. Poonam and S. K. Maji, “A Proximal Approach to Denoising Hyperspectral Images
under Mixed-Noise Model”, IET Image Processing, 14 (14), 3366-3372, 2020. H index 45
S. K. Maji, R. K. Thakur and H. Yahia, “Structure Preserving Denoising of SAR Images using
Multifractal Feature Analysis”, IEEE Geoscience and Remote Sensing Letters, 17 (12), 2100-2104, 2020. H index 114
A. El Aouni, K. Daoudi, H. Yahia, S. K. Maji and K. Minaoui, “Defining Lagrangian coherent
vortices from their trajectories”, Physics of Fluids, 32 (1), 016602, 2020. H index 166
S. K. Maji and H. Yahia, “A Feature based Reconstruction Model for Fluorescence Microscopy
Image Denoising”, Scientific Reports (Nature Publishing Group), 9 : 7725, 2019. H index 179
D. Guet, L.T. Burns*, S. Maji*, J. Boulanger, P. Hersen, S.R. Wente, J. Salamero and
C. Dargemont, “Combining Spinach-tagged RNA and gene localization to image gene expression in live
yeast”, Nature Communications, 6 : 8882, 2015. * Authors share
equal contribution H index 365
S. K. Maji, H. Yahia and T. Fusco, “A Multifractal based Wavefront Phase Estimation Technique
for Ground-Based Astronomical Imaging”, IEEE Transactions in Geoscience and Remote Sensing,
54 (3), 1705-1715, 2015. H index 236
S. K. Maji and H. Yahia, “Edges, Transitions and Criticality”, Pattern Recognition (Elsevier),
47 (6) : 2104-2115, 2014. H index 210
S. K. Maji, H. Yahia and H. Badri, “Reconstructing an image from its edge representation”, Digital
Signal Processing (Elsevier), 23 (6) : 1867-1876, 2013. H index 76
Peer Reviewed Conferences
International Conferences
A. Saha and S. K. Maji, “Despeckling SAR Images Using CNN-Based Approach Incorporating GAN and Gradient Estimation”,
27th International Conference on Pattern Recognition (ICPR) 2024, Kolkata, India. Core Rank B
D. Das and S. K. Maji: MDFIDNet, “Multi Domain Feature Integration Denoising Network”,
27th International Conference on Pattern Recognition (ICPR) 2024, Kolkata, India. Core Rank B
A. Saha and S. K. Maji, “SAR Image Despeckling Convolutional Model with Integrated Frequency Filtration Technique”, IEEE
Region 10 Conference TENCON 2022, Hong Kong. Core Rank C
R. K. Thakur and S. K. Maji, “Image Denoising based on Multi Domain Feature Inspired Convolutional Neural Network”, IEEE
Region 10 Conference TENCON 2022, Hong Kong. Core Rank C
S. K. Maji and R. K. Thakur, "A Successive Variational Model for Multiplicative Noise and Blur Removal, IEEE
India Council International Conference INDICON 2022, Cochin University of Science & Technology, Kerala.
R. K. Thakur and S. K. Maji, “Blind Gaussian Deep Denoiser Network using Multi-Scale Pixel Attention”, IEEE
Visual Communication and Image Processing VCIP 2022, Suzhou, China. Core Rank B
S. K. Maji and A. Saha, “A Bayesian Approach to Gaussian-Impulse Noise Removal using Hessian Norm Regularization”,
7th IAPR International Conference on Computer Vision & Image Processing CVIP 2022, VNIT Nagpur, India.
H. Aetesam and S. K. Maji, “Attention-Based Noise Prior Network for Magnetic Resonance Image Denoising”, IEEE
International Symposium on Biomedical Imaging ISBI 2022, Kolkata, India. ERA Rank A
R. K. Thakur and S. K. Maji, “SIFSDNET: Sharp Image Feature based SAR Denoising Network”,
IEEE International Geoscience and Remote Sensing Symposium IGARSS 2022, Kuala Lampur, Malayasia. Core Rank C
S. Kumar, H. Aetesam, A. Saha and S. K. Maji, “Attention-Based Deep Autoencoder for Hyperspectral Image Denoising”, 6th IAPR
International Conference on Computer Vision & Image Processing CVIP 2021, IIT Ropar, India.
S. K. Maji and J. Boulanger, “ A variational model for Poisson Gaussian Joint denoising deconvolution”, IEEE
International Symposium on Biomedical Imaging ISBI 2021, Nice, France. ERA Rank A
H. Aetesam and S. K. Maji, “A Two-Phase Splitting Approach for the Removal of Gaussian-Impulse Noise
from Hyperspectral Images”, 5th IAPR International Conference on Computer Vision & Image Processing
CVIP 2020, IIIT Allahabad, India.
R. K. Thakur and S. K. Maji, “A Variational Approach to Image Despeckling under Varied Blur”,
IEEE 7th International Conference on Signal Processing and Integrated Networks, New Delhi, India, 2020.
R. Kumar and S. K. Maji, “A Novel Framework for Denoised High Resolution Generative Adversarial
Network : DHRGAN”, IEEE 7th International Conference on Signal Processing and Integrated Networks,
New Delhi, India, 2020.
H. Aetesam and S. K. Maji, “Ultrasound Image Deconvolution adapted to Gaussian and Speckle
Noise Statistics”, IEEE 7th International Conference on Signal Processing and Integrated Networks,
New Delhi, India, 2020.
K. S. Jauhri, R. K. Thakur and S. K. Maji, “A Blind Metric Based Variational Approach for
Ultrasound Image Denoising”, IEEE International Conference on Contemporary Computing and
Applications, Lucknow, India, 2020.
H. Aetesam and S. K. Maji, L2-L1 Fidelity based Elastic Net Regularisation for Magnetic Resonance
Image Denoising", IEEE International Conference on Contemporary Computing and
Applications, Lucknow, India, 2020.
H. Aetesam, K. Poonam and S. K. Maji, A Mixed-Norm Fidelity Model for Hyperperspectral
Image Denoising under Gaussian-Impulse Noise", IEEE 18th International Conference on Information
Technology ICIT 2019, IIIT Bhubaneshwar, India.
S. K. Maji, C. Dargemont, J. Salamero and J. Boulanger, “Joint Denoising-Deconvolution approach
for fluorescence microscopy”, IEEE International Symposium on Biomedical Imaging ISBI 2016,
Prague, Czec Republic. ERA Rank A
S. K. Maji, T. Fusco and H. Yahia, “Cross-scale inference and wavefront reconstruction”, SPIE
International Conference on Astronomical telescopes and instrumentation, Montreal, Canada, 2014.
S. K. Maji, O. Pont, H. Yahia and J. Sudre, “Inferring Information across Scales in Acquired
Complex Signals”, European Conference on Complex Systems ECCS 2012, Brussels, Belgium.
S. K. Maji, H. Yahia, O. Pont, J. Sudre, T. Fusco and V. Michau, “Towards Multiscale
Reconstruction of Perturbated Phase from Hartmann-Shack Acquisitions”, IEEE NASA/ESA Conference
on Adaptive Hardware and Systems AHS 2012, Nuremberg, Germany.
S. K. Maji, H. Yahia, O. Pont, T. Fusco, V. Michau and J. Sudre, “A multiscale approach to phase
reconstruction for Adaptive Optics”, IEEE 10th International Workshop on Electronics, Control,
Measurement and Signals ECMS 2011, Liberec, Czec Republic.
Other Symposium and Workshops
S.K. Maji, D. Guet, L. Burns, J. Boulanger, P. Hersen, S. Wente, J.Salamero, C. Dargemont,
“Imaging workflow for mRNA tracking in living yeast cells”, Quantitative Bioimaging Conference
2015, Paris, France.
J. Boulanger, N.Barry, S. K. Maji, “Joint denoising deconvolution”,
Quantitative Bioimaging Conference 2020, Oxford, UK.
Citations and Indexes
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