Subhadip Mukherjee
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An iterative algorithm for phase retrieval with sparsity constraints: application to frequency domain optical coherence tomography
S Mukherjee, CS Seelamantula
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
Fienup algorithm with sparsity constraints: Application to frequency-domain optical-coherence tomography
S Mukherjee, CS Seelamantula
Signal Processing, IEEE Transactions on 62 (18), 4659-4672, 2014
ℓ1-K-SVD: A robust dictionary learning algorithm with simultaneous update
S Mukherjee, R Basu, CS Seelamantula
Signal Processing 123, 42-52, 2016
Learned convex regularizers for inverse problems
S Mukherjee, S Dittmer, Z Shumaylov, S Lunz, O Öktem, CB Schönlieb
arxiv preprint (arXiv:2008.02839v1), 2020
An optimum shrinkage estimator based on minimum-probability-of-error criterion and application to signal denoising
J Sadasivan, S Mukherjee, CS Seelamantula
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International …, 2014
Joint dictionary training for bandwidth extension of speech signals
J Sadasivan, S Mukherjee, CS Seelamantula
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
Deep sparse coding using optimized linear expansion of thresholds
D Mahapatra, S Mukherjee, CS Seelamantula
arXiv preprint arXiv:1705.07290, 2017
End-to-end reconstruction meets data-driven regularization for inverse problems
S Mukherjee, M Carioni, O Öktem, CB Schönlieb
Thirty-Fifth Conference on Neural Information Processing Systems, 2021
Phase retrieval from binary measurements
S Mukherjee, CS Seelamantula
IEEE Signal Processing Letters 25 (3), 348-352, 2018
A non-iterative phase retrieval algorithm for minimum-phase signals using the annihilating filter
S Mukherjee, CS Seelamantula
Sampling Theory in Signal and Image Processing 11 (2), 165-193, 2012
Adversarially learned iterative reconstruction for imaging inverse problems
S Mukherjee, O Öktem, CB Schönlieb
International Conference on Scale Space and Variational Methods in Computer …, 2021
Stochastic primal-dual deep unrolling
J Tang, S Mukherjee, CB Schönlieb
arXiv preprint arXiv:2110.10093, 2021
DNNs for sparse coding and dictionary learning
S Mukherjee, D Mahapatra, CS Seelamantula
NIPS Bayesian Deep Learning Workshop, 2017
Convergence rate analysis of smoothed LASSO
S Mukherjee, CS Seelamantula
2016 Twenty Second National Conference on Communication (NCC), 1-6, 2016
Data-driven mirror descent with input-convex neural networks
HY Tan, S Mukherjee, J Tang, CB Schönlieb
arXiv preprint arXiv:2206.06733, 2022
Learned reconstruction methods with convergence guarantees
S Mukherjee, A Hauptmann, O Öktem, M Pereyra, CB Schönlieb
arXiv preprint arXiv:2206.05431, 2022
Quantization-aware phase retrieval
S Mukherjee, CS Seelamantula
International Journal of Wavelets, Multiresolution and Information …, 2022
Signal denoising using the minimum-probability-of-error criterion
J Sadasivan, S Mukherjee, CS Seelamantula
APSIPA Transactions on Signal and Information Processing 9, 2020
INSIDEnet: Interpretable NonexpanSIve Data‐Efficient network for denoising in grating interferometry breast CT
S van Gogh, Z Wang, M Rawlik, C Etmann, S Mukherjee, CB Schönlieb, ...
Medical physics, 2022
Speech Enhancement Using the Minimum-probability-of-error Criterion.
J Sadasivan, S Mukherjee, CS Seelamantula
INTERSPEECH, 1141-1145, 2018
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