Average case analysis of sparse recovery with thresholding : New bounds based on average dictionary coherence. - Mohammad Golbabaee; Pierre Vandergheynst (ICASSP, 2008)

Multichannel compressed sensing via source separation for hyperspectral images. - Mohammad Golbabaee; Simon Arberet; Pierre Vandergheynst (EUSIPCO, 2010)

Hyperspectral image compressed sensing via low-rank and joint-sparse matrix recovery. - Mohammad Golbabaee; Pierre Vandergheynst (ICASSP, 2012)

Light field compressive sensing in camera arrays. - Mahdad Hosseini Kamal; Mohammad Golbabaee; Pierre Vandergheynst (ICASSP, 2012)

Joint trace/TV norm minimization: A new efficient approach for spectral compressive imaging. - Mohammad Golbabaee; Pierre Vandergheynst (ICIP, 2012)

Structured Sparsity Models for Multiparty Speech Recovery from Reverberant Recordings - Afsaneh Asaei; Mohammad Golbabaee; Hervé Bourlard; Volkan Cevher (CoRR, 2012)

Compressed Sensing of Simultaneous Low-Rank and Joint-Sparse Matrices - Mohammad Golbabaee; Pierre Vandergheynst (CoRR, 2012)

Compressive Sampling Strategies for Multichannel Signals - Theory and Applications. - Mohammad Golbabaee (2012)

Model Selection with Piecewise Regular Gauges. - Samuel Vaiter; Mohammad Golbabaee; Jalal Fadili; Gabriel Peyré (CoRR, 2013)

Compressive Source Separation: Theory and Methods for Hyperspectral Imaging. - Mohammad Golbabaee; Simon Arberet; Pierre Vandergheynst (IEEE Trans. Image Process., 2013)

Numerical experiments with MALDI Imaging data. - Jan Hendrik Kobarg; Peter Maass; Janina Oetjen; Oren Tropp; Eyal Hirsch; Chen Sagiv; Mohammad Golbabaee; Pierre Vandergheynst (Adv. Comput. Math., 2014)

Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). - Laurent Jacques; Christophe De Vleeschouwer; Yannick Boursier; Prasad Sudhakar; C. De Mol; Aleksandra Pizurica; Sandrine Anthoine; Pierre Vandergheynst; Pascal Frossard; Cagdas Bilen; Srdan Kitic; Nancy Bertin; et al. (CoRR, 2014)

SCOOP: A Real-Time Sparsity Driven People Localization Algorithm. - Mohammad Golbabaee; Alexandre Alahi; Pierre Vandergheynst (J. Math. Imaging Vis., 2014)

Structured Sparsity Models for Reverberant Speech Separation. - Afsaneh Asaei; Mohammad Golbabaee; Hervé Bourlard; Volkan Cevher (IEEE ACM Trans. Audio Speech Lang. Process., 2014)

Exploiting the structure via sketched gradient algorithms. - Junqi Tang; Mohammad Golbabaee; Mike E. Davies 001 (GlobalSIP, 2017)

Gradient Projection Iterative Sketch for Large-Scale Constrained Least-Squares. - Junqi Tang; Mohammad Golbabaee; Mike E. Davies 001 (ICML, 2017)

Cover tree compressed sensing for fast mr fingerprint recovery. - Mohammad Golbabaee; Zhouye Chen; Yves Wiaux; Mike E. Davies 001 (MLSP, 2017)

Rest-Katyusha: Exploiting the Solution's Structure via Scheduled Restart Schemes. - Junqi Tang; Mohammad Golbabaee; Francis R. Bach; Mike E. Davies 001 (NeurIPS, 2018)

A deep learning approach for Magnetic Resonance Fingerprinting. - Mohammad Golbabaee; Dongdong Chen 004; Pedro A. Gómez; Marion I. Menzel; Mike E. Davies 001 (CoRR, 2018)

CoverBLIP: scalable iterative matched filtering for MR Fingerprint recovery. - Mohammad Golbabaee; Zhouye Chen; Yves Wiaux; Mike E. Davies 001 (CoRR, 2018)

Balanced multi-shot EPI for accelerated Cartesian MRF: An alternative to spiral MRF. - Arnold Julian Vinoj Benjamin; Pedro A. Gómez; Mohammad Golbabaee; Tim Sprenger; Marion I. Menzel; Mike E. Davies 001; Ian Marshall (CoRR, 2018)

CoverBLIP: accelerated and scalable iterative matched-filtering for Magnetic Resonance Fingerprint reconstruction. - Mohammad Golbabaee; Zhouye Chen; Yves Wiaux; Mike E. Davies 001 (CoRR, 2018)

Insense: Incoherent sensor selection for sparse signals. - Amirali Aghazadeh; Mohammad Golbabaee; Andrew S. Lan; Richard G. Baraniuk (Signal Process., 2018)

Inexact Gradient Projection and Fast Data Driven Compressed Sensing. - Mohammad Golbabaee; Mike E. Davies 001 (IEEE Trans. Inf. Theory, 2018)

Geometry of Deep Learning for Magnetic Resonance Fingerprinting. - Mohammad Golbabaee; Dongdong Chen 004; Pedro A. Gómez; Marion I. Menzel; Mike E. Davies 001 (ICASSP, 2019)

Deep MR Fingerprinting with total-variation and low-rank subspace priors. - Mohammad Golbabaee; Carolin M. Pirkl; Marion I. Menzel; Guido Buonincontri; Pedro A. Gómez (CoRR, 2019)

Compressive MR Fingerprinting Reconstruction with Neural Proximal Gradient Iterations. - Dongdong Chen 004; Mike E. Davies 001; Mohammad Golbabaee (MICCAI (2), 2020)

Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders. - Mohammad Golbabaee; Guido Bounincontri; Carolin M. Pirkl; Marion I. Menzel; Bjoern H. Menze; Mike E. Davies 001; Pedro A. Gómez (CoRR, 2020)

An off-the-grid approach to multi-compartment magnetic resonance fingerprinting. - Mohammad Golbabaee; Clarice Poon (CoRR, 2020)

The Practicality of Stochastic Optimization in Imaging Inverse Problems. - Junqi Tang; Karen O. Egiazarian; Mohammad Golbabaee; Mike E. Davies 001 (IEEE Trans. Computational Imaging, 2020)

Compressive MRI quantification using convex spatiotemporal priors and deep encoder-decoder networks. - Mohammad Golbabaee; Guido Buonincontri; Carolin M. Pirkl; Marion I. Menzel; Bjoern H. Menze; Mike E. Davies 001; Pedro A. Gómez (Medical Image Anal., 2021)

Deep Unrolling for Magnetic Resonance Fingerprinting. - Dongdong Chen 004; Mike E. Davies 001; Mohammad Golbabaee (ISBI, 2022)

A Plug-and-Play Approach To Multiparametric Quantitative MRI: Image Reconstruction Using Pre-Trained Deep Denoisers. - Ketan Fatania; Carolin M. Pirkl; Marion I. Menzel; Peter Hall 001; Mohammad Golbabaee (ISBI, 2022)

Nonlinear Equivariant Imaging: Learning Multi-Parametric Tissue Mapping without Ground Truth for Compressive Quantitative MRI. - Ketan Fatania; Kwai Y. Chau; Carolin M. Pirkl; Marion I. Menzel; Peter Hall 001; Mohammad Golbabaee (CoRR, 2022)

Nonlinear Equivariant Imaging: Learning Multi-Parametric Tissue Mapping without Ground Truth for Compressive Quantitative MRI. - Ketan Fatania; Kwai Y. Chau; Carolin M. Pirkl; Marion I. Menzel; Mohammad Golbabaee (ISBI, 2023)

Performance of data-driven inner speech decoding with same-task EEG-fMRI data fusion and bimodal models. - Holly Wilson; Scott Wellington; Foteini Simistira Liwicki; Vibha Gupta; Rajkumar Saini; Kanjar De; Nosheen Abid; Sumit Rakesh; Johan Gunnar Eriksson; Oliver Watts; Xi Chen; Mohammad Golbabaee; et al. (CoRR, 2023)

Improving inner speech decoding by hybridisation of bimodal EEG and fMRI data. - Scott Wellington; Holly Wilson; Foteini Simistira Liwicki; Vibha Gupta; Rajkumar Saini; Kanjar De; Nosheen Abid; Sumit Rakesh; Johan Gunnar Eriksson; Oliver Watts; Xi Chen; Damien Coyle; et al. (EMBC, 2024)

Deep Image Priors for Magnetic Resonance Fingerprinting with Pretrained Bloch-Consistent Denoising Autoencoders. - Perla Mayo; Matteo Cencini; Ketan Fatania; Carolin M. Pirkl; Marion I. Menzel; Bjoern H. Menze; Michela Tosetti; Mohammad Golbabaee (ISBI, 2024)

StoDIP: Efficient 3D MRF Image Reconstruction with Deep Image Priors and Stochastic Iterations. - Perla Mayo; Matteo Cencini; Carolin M. Pirkl; Marion I. Menzel; Michela Tosetti; Bjoern H. Menze; Mohammad Golbabaee (MLMI@MICCAI (2), 2024)

Learning Preconditioners for Inverse Problems. - Matthias J. Ehrhardt; Patrick Fahy; Mohammad Golbabaee (CoRR, 2024)

Efficient Hyperparameter Importance Assessment for CNNs. - Ruinan Wang; Ian T. Nabney; Mohammad Golbabaee (CoRR, 2024)

Improved Patch Denoising Diffusion Probabilistic Models for Magnetic Resonance Fingerprinting. - Perla Mayo; Carolin M. Pirkl; Alin Achim; Bjoern H. Menze; Mohammad Golbabaee (CoRR, 2024)

Grouped Sequential Optimization Strategy - the Application of Hyperparameter Importance Assessment in Deep Learning. - Ruinan Wang; Ian T. Nabney; Mohammad Golbabaee (CPAL, 2025)

Physics informed guided diffusion for accelerated multi-parametric MRI reconstruction. - Perla Mayo; Carolin M. Pirkl; Alin Achim; Bjoern H. Menze; Mohammad Golbabaee (CoRR, 2025)