An iterative algorithm for phase retrieval with sparsity constraints: application to frequency domain optical coherence tomography. - Subhadip Mukherjee; Chandra Sekhar Seelamantula (ICASSP, 2012)

Phase retrieval for a class of 2-D signals characterized by first-order difference equations. - Basty Ajay Shenoy; Subhadip Mukherjee; Chandra Sekhar Seelamantula (ICIP, 2013)

An optimum shrinkage estimator based on minimum-probability-of-error criterion and application to signal denoising. - Jishnu Sadasivan; Subhadip Mukherjee; Chandra Sekhar Seelamantula (ICASSP, 2014)

A split-and-merge dictionary learning algorithm for sparse representation: Application to image denoising. - Subhadip Mukherjee; Chandra Sekhar Seelamantula (DSP, 2014)

A Robust Dictionary Learning Algorithm for Image Denoising. - Subhadip Mukherjee; Rupam Basu; Chandra Sekhar Seelamantula (CoRR, 2014)

A Split-and-Merge Dictionary Learning Algorithm for Sparse Representation. - Subhadip Mukherjee; Chandra Sekhar Seelamantula (CoRR, 2014)

Fienup Algorithm With Sparsity Constraints: Application to Frequency-Domain Optical-Coherence Tomography. - Subhadip Mukherjee; Chandra Sekhar Seelamantula (IEEE Trans. Signal Process., 2014)

A divide-and-conquer dictionary learning algorithm and its performance analysis. - Subhadip Mukherjee; Chandra Sekhar Seelamantula (ICASSP, 2016)

Joint dictionary training for bandwidth extension of speech signals. - Jishnu Sadasivan; Subhadip Mukherjee; Chandra Sekhar Seelamantula (ICASSP, 2016)

Super-Resolution From Binary Measurements With Unknown Threshold. - Subhadip Mukherjee; Anjany Kumar Sekuboyina; Chandra Sekhar Seelamantula (CoRR, 2016)

ℓ1-K-SVD: A robust dictionary learning algorithm with simultaneous update. - Subhadip Mukherjee; Rupam Basu; Chandra Sekhar Seelamantula (Signal Process., 2016)

Deep Sparse Coding Using Optimized Linear Expansion of Thresholds. - Debabrata Mahapatra; Subhadip Mukherjee; Chandra Sekhar Seelamantula (CoRR, 2017)

Online Reweighted Least Squares Algorithm for Sparse Recovery and Application to Short-Wave Infrared Imaging. - Subhadip Mukherjee; Deepak R.; Huaijin G. Chen; Ashok Veeraraghavan; Chandra Sekhar Seelamantula (CoRR, 2017)

Phasesplit: A Variable Splitting Framework for Phase Retrieval. - Subhadip Mukherjee; Suprosanna Shit; Chandra Sekhar Seelamantula (ICASSP, 2018)

Speech Enhancement Using the Minimum-probability-of-error Criterion. - Jishnu Sadasivan; Subhadip Mukherjee; Chandra Sekhar Seelamantula (INTERSPEECH, 2018)

A Singular Value Relaxation Technique for Learning Sparsifying Transforms. - Subhadip Mukherjee; Chandra Sekhar Seelamantula (SPCOM, 2018)

Binary Compressive Sensing and Super-Resolution With Unknown Threshold. - Subhadip Mukherjee; Anjany Kumar Sekuboyina; Chandra Sekhar Seelamantula (SPCOM, 2018)

Phase Retrieval From Binary Measurements. - Subhadip Mukherjee; Chandra Sekhar Seelamantula (IEEE Signal Process. Lett., 2018)

A Novel Method for High Capacity Reversible Data Hiding Scheme Using Difference Expansion. - Subhadip Mukherjee; Biswapati Jana (Int. J. Nat. Comput. Res., 2019)

PhaseSense - Signal Reconstruction from Phase-Only Measurements via Quadratic Programming. - Vinith Kishore; Subhadip Mukherjee; Chandra Sekhar Seelamantula (SPCOM, 2020)

Learned convex regularizers for inverse problems. - Subhadip Mukherjee; Sören Dittmer; Zakhar Shumaylov; Sebastian Lunz; Ozan Öktem; Carola-Bibiane Schönlieb (CoRR, 2020)

End-to-end reconstruction meets data-driven regularization for inverse problems. - Subhadip Mukherjee; Marcello Carioni; Ozan Öktem; Carola-Bibiane Schönlieb (NeurIPS, 2021)

Adversarially Learned Iterative Reconstruction for Imaging Inverse Problems. - Subhadip Mukherjee; Ozan Öktem; Carola-Bibiane Schönlieb (SSVM, 2021)

Learning convex regularizers satisfying the variational source condition for inverse problems. - Subhadip Mukherjee; Carola-Bibiane Schönlieb; Martin Burger 001 (CoRR, 2021)

Pencil shell matrix based image steganography with elevated embedding capacity. - Subhadip Mukherjee; Sunita Sarkar; Somnath Mukhopadhyay (J. Inf. Secur. Appl., 2021)

VCI Construction and Shifting Strategy Based Steganography for 3D Images. - Subhadip Mukherjee; Sunita Sarkar; Somnath Mukhopadhyay (CICBA, 2022)

Stylegan-Induced Data-Driven Regularization for Inverse Problems. - Arthur Conmy; Subhadip Mukherjee; Carola-Bibiane Schönlieb (ICASSP, 2022)

Learned reconstruction with convergence guarantees. - Subhadip Mukherjee; Andreas Hauptmann; Ozan Öktem; Marcelo Pereyra; Carola-Bibiane Schönlieb (CoRR, 2022)

Tree species classification from hyperspectral data using graph-regularized neural networks. - Debmita Bandyopadhyay; Subhadip Mukherjee (CoRR, 2022)

Accelerating Deep Unrolling Networks via Dimensionality Reduction. - Junqi Tang; Subhadip Mukherjee; Carola-Bibiane Schönlieb (CoRR, 2022)

Quantization-aware phase retrieval. - Subhadip Mukherjee; Chandra Sekhar Seelamantula (Int. J. Wavelets Multiresolution Inf. Process., 2022)

Robust Data-Driven Accelerated Mirror Descent. - Hong Ye Tan; Subhadip Mukherjee; Junqi Tang; Andreas Hauptmann; Carola-Bibiane Schönlieb (ICASSP, 2023)

Fluctuation-Based Deconvolution in Fluorescence Microscopy Using Plug-and-Play Denoisers. - Vasiliki Stergiopoulou; Subhadip Mukherjee; Luca Calatroni; Laure Blanc-Féraud (SSVM, 2023)

NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse Problems. - Ziruo Cai; Junqi Tang; Subhadip Mukherjee; Jinglai Li; Carola-Bibiane Schönlieb; Xiaoqun Zhang (CoRR, 2023)

Dynamic Bilevel Learning with Inexact Line Search. - Mohammad Sadegh Salehi; Subhadip Mukherjee; Lindon Roberts; Matthias J. Ehrhardt (CoRR, 2023)

Provably Convergent Data-Driven Convex-Nonconvex Regularization. - Zakhar Shumaylov; Jeremy Budd; Subhadip Mukherjee; Carola-Bibiane Schönlieb (CoRR, 2023)

Unsupervised approaches based on optimal transport and convex analysis for inverse problems in imaging. - Marcello Carioni; Subhadip Mukherjee; Hong Ye Tan; Junqi Tang (CoRR, 2023)

Learned Reconstruction Methods With Convergence Guarantees: A survey of concepts and applications. - Subhadip Mukherjee; Andreas Hauptmann; Ozan Öktem; Marcelo Pereyra; Carola-Bibiane Schönlieb (IEEE Signal Process. Mag., 2023)

Data-Driven Mirror Descent with Input-Convex Neural Networks. - Hong Ye Tan; Subhadip Mukherjee; Junqi Tang; Carola-Bibiane Schönlieb (SIAM J. Math. Data Sci., 2023)

Advancing the Frontiers of Deep Learning for Low-Dose 3D Cone-Beam Computed Tomography (CT) Reconstruction. - Ander Biguri; Subhadip Mukherjee (ICASSP Workshops, 2024)

Data-Driven Convex Regularizers for Inverse Problems. - Subhadip Mukherjee; Sören Dittmer; Zakhar Shumaylov; Sebastian Lunz; Ozan Öktem; Carola B. Schönlieb (ICASSP, 2024)

Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation. - Zakhar Shumaylov; Jeremy Budd; Subhadip Mukherjee; Carola-Bibiane Schönlieb (ICML, 2024)

Implicit neural representations for unsupervised super-resolution and denoising of 4D flow MRI. - Simone Saitta; Marcello Carioni; Subhadip Mukherjee; Carola-Bibiane Schönlieb; Alberto Redaelli (Comput. Methods Programs Biomed., 2024)

Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds. - Hong Ye Tan; Subhadip Mukherjee; Junqi Tang; Carola-Bibiane Schönlieb (CoRR, 2024)

A Primal-dual algorithm for image reconstruction with ICNNs. - Hok Shing Wong; Matthias J. Ehrhardt; Subhadip Mukherjee (CoRR, 2024)

IoTSLE: Securing IoT systems in low-light environments through finite automata, deep learning and DNA computing based image steganographic model. - Subhadip Mukherjee; Somnath Mukhopadhyay; Sunita Sarkar (Internet Things, 2024)

Parallel BFS through pennant data structure with reducer hyper-object based data hiding for 3D mesh images. - Sakhi Bandyopadhyay; Subhadip Mukherjee; Somnath Mukhopadhyay; Sunita Sarkar (Secur. Priv., 2024)

NF-ULA: Normalizing Flow-Based Unadjusted Langevin Algorithm for Imaging Inverse Problems. - Ziruo Cai; Junqi Tang; Subhadip Mukherjee; Jinglai Li; Carola-Bibiane Schönlieb; Xiaoqun Zhang (SIAM J. Imaging Sci., 2024)

Provably Convergent Plug-and-Play Quasi-Newton Methods. - Hong Ye Tan; Subhadip Mukherjee; Junqi Tang; Carola-Bibiane Schönlieb (SIAM J. Imaging Sci., 2024)

Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation. - Hong Ye Tan; Ziruo Cai; Marcelo Pereyra; Subhadip Mukherjee; Junqi Tang; Carola-Bibiane Schönlieb (Trans. Mach. Learn. Res., 2024)

Boosting Data-Driven Mirror Descent with Randomization, Equivariance, and Acceleration. - Hong Ye Tan; Subhadip Mukherjee; Junqi Tang; Carola-Bibiane Schönlieb (Trans. Mach. Learn. Res., 2024)

Data-Driven Gradient Regularization for Quasi-Newton Optimization in Iterative Grating Interferometry CT Reconstruction. - Stefano van Gogh; Subhadip Mukherjee; Michal Rawlik; Alexandre Pereira; Simon Spindler; Marie-Christine Zdora; Martin Stauber; Zsuzsanna Varga; Marco Stampanoni (IEEE Trans. Medical Imaging, 2024)

A shell-matrix-based image steganography technique for multimedia security and covert communication. - Subhadip Mukherjee; Somnath Mukhopadhyay; Sunita Sarkar (Innov. Syst. Softw. Eng., 2024)

Iterative Operator Sketching Framework for Large-Scale Imaging Inverse Problems. - Junqi Tang; Subhadip Mukherjee; Carola-Bibiane Schönlieb (ICASSP, 2025)

Perturbation-Aware Distributionally Robust Optimization for Inverse Problems. - Floor van Maarschalkerwaart; Subhadip Mukherjee; Malena Sabaté Landman; Christoph Brune; Marcello Carioni (SSVM (2), 2025)

Bilevel Learning with Inexact Stochastic Gradients. - Mohammad Sadegh Salehi; Subhadip Mukherjee; Lindon Roberts; Matthias J. Ehrhardt (SSVM (1), 2025)

An Adaptively Inexact First-Order Method for Bilevel Optimization with Application to Hyperparameter Learning. - Mohammad Sadegh Salehi; Subhadip Mukherjee; Lindon Roberts; Matthias J. Ehrhardt (SIAM J. Math. Data Sci., 2025)

ParticleStego: A Steganographic Algorithm for Securing Consumer Electronics Enabled Social Internet of Things (SIoT). - Subhadip Mukherjee; Somnath Mukhopadhyay; Sunita Sarkar (IEEE Trans. Consumer Electron., 2025)

Convergent Regularization in Inverse Problems and Linear Plug-and-Play Denoisers. - Andreas Hauptmann; Subhadip Mukherjee; Carola-Bibiane Schönlieb; Ferdia Sherry (Found. Comput. Math., 2025)

Practical Operator Sketching Framework for Accelerating Iterative Data-Driven Solutions in Linear Inverse Problems. - Junqi Tang; Guixian Xu; Subhadip Mukherjee; Carola-Bibiane Schönlieb (J. Math. Imaging Vis., 2025)