Mohammad Golbabaee

57 papers A* 2B 1Misc 5Journal 36Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Denoising Diffusion Probabilistic Models for Magnetic Resonance Fingerprinting. IEEE Access Perla Mayo, Carolin M. Pirkl, Alin M. Achim, Bjoern H. Menze, Mohammad Golbabaee
2026	J	`jnl`	MRI2Qmap: multi-parametric quantitative mapping with MRI-driven denoising priors. CoRR Mohammad Golbabaee, Matteo Cencini, Carolin M. Pirkl, Marion I. Menzel, Michela Tosetti, Bjoern Menze
2025	—	`conf`	Grouped Sequential Optimization Strategy - the Application of Hyperparameter Importance Assessment in Deep Learning. CPAL Ruinan Wang, Ian T. Nabney, Mohammad Golbabaee
2025	J	`jnl`	Grouped Sequential Optimization Strategy - the Application of Hyperparameter Importance Assessment in Deep Learning. CoRR Ruinan Wang, Ian T. Nabney, Mohammad Golbabaee
2025	—	`conf`	Physics Informed Guided Diffusion for Accelerated Multi-parametric MRI Reconstruction. MICCAI (16) Perla Mayo, Carolin M. Pirkl, Alin Achim, Bjoern Menze, Mohammad Golbabaee
2025	J	`jnl`	Physics informed guided diffusion for accelerated multi-parametric MRI reconstruction. CoRR Perla Mayo, Carolin M. Pirkl, Alin Achim, Bjoern H. Menze, Mohammad Golbabaee
2024	—	`conf`	Deep Image Priors for Magnetic Resonance Fingerprinting with Pretrained Bloch-Consistent Denoising Autoencoders. ISBI Perla Mayo, Matteo Cencini, Ketan Fatania, Carolin M. Pirkl, Marion I. Menzel, Bjoern H. Menze, Michela Tosetti, Mohammad Golbabaee
2024	J	`jnl`	Deep Image Priors for Magnetic Resonance Fingerprinting with pretrained Bloch-consistent denoising autoencoders. CoRR Perla Mayo, Matteo Cencini, Ketan Fatania, Carolin M. Pirkl, Marion I. Menzel, Bjoern H. Menze, Michela Tosetti, Mohammad Golbabaee
2024	J	`jnl`	Efficient Hyperparameter Importance Assessment for CNNs. CoRR Ruinan Wang, Ian T. Nabney, Mohammad Golbabaee
2024	J	`jnl`	Improved Patch Denoising Diffusion Probabilistic Models for Magnetic Resonance Fingerprinting. CoRR Perla Mayo, Carolin M. Pirkl, Alin Achim, Bjoern H. Menze, Mohammad Golbabaee
2024	—	`conf`	Improving inner speech decoding by hybridisation of bimodal EEG and fMRI data. EMBC 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, Mohammad Golbabaee, Michael J. Proulx, Marcus Liwicki, Eamonn O'Neill, Benjamin Metcalfe
2024	J	`jnl`	Learning Preconditioners for Inverse Problems. CoRR Matthias J. Ehrhardt, Patrick Fahy, Mohammad Golbabaee
2024	—	`conf`	StoDIP: Efficient 3D MRF Image Reconstruction with Deep Image Priors and Stochastic Iterations. MLMI@MICCAI (2) Perla Mayo, Matteo Cencini, Carolin M. Pirkl, Marion I. Menzel, Michela Tosetti, Bjoern H. Menze, Mohammad Golbabaee
2024	J	`jnl`	StoDIP: Efficient 3D MRF image reconstruction with deep image priors and stochastic iterations. CoRR Perla Mayo, Matteo Cencini, Carolin M. Pirkl, Marion I. Menzel, Michela Tosetti, Bjoern H. Menze, Mohammad Golbabaee
2023	—	`conf`	Nonlinear Equivariant Imaging: Learning Multi-Parametric Tissue Mapping without Ground Truth for Compressive Quantitative MRI. ISBI Ketan Fatania, Kwai Y. Chau, Carolin M. Pirkl, Marion I. Menzel, Mohammad Golbabaee
2023	J	`jnl`	Performance of data-driven inner speech decoding with same-task EEG-fMRI data fusion and bimodal models. CoRR 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, Michael J. Proulx, Marcus Liwicki, Eamonn O'Neill, Benjamin Metcalfe
2022	—	`conf`	A Plug-and-Play Approach To Multiparametric Quantitative MRI: Image Reconstruction Using Pre-Trained Deep Denoisers. ISBI Ketan Fatania, Carolin M. Pirkl, Marion I. Menzel, Peter Hall, Mohammad Golbabaee
2022	J	`jnl`	A Plug-and-Play Approach to Multiparametric Quantitative MRI: Image Reconstruction using Pre-Trained Deep Denoisers. CoRR Ketan Fatania, Carolin M. Pirkl, Marion I. Menzel, Peter Hall, Mohammad Golbabaee
2022	—	`conf`	Deep Unrolling for Magnetic Resonance Fingerprinting. ISBI Dongdong Chen, Mike E. Davies, Mohammad Golbabaee
2022	J	`jnl`	Nonlinear Equivariant Imaging: Learning Multi-Parametric Tissue Mapping without Ground Truth for Compressive Quantitative MRI. CoRR Ketan Fatania, Kwai Y. Chau, Carolin M. Pirkl, Marion I. Menzel, Peter Hall, Mohammad Golbabaee
2021	J	`jnl`	Compressive MRI quantification using convex spatiotemporal priors and deep encoder-decoder networks. Medical Image Anal. Mohammad Golbabaee, Guido Buonincontri, Carolin M. Pirkl, Marion I. Menzel, Bjoern H. Menze, Mike E. Davies, Pedro A. Gómez
2020	J	`jnl`	An off-the-grid approach to multi-compartment magnetic resonance fingerprinting. CoRR Mohammad Golbabaee, Clarice Poon
2020	—	`conf`	Compressive MR Fingerprinting Reconstruction with Neural Proximal Gradient Iterations. MICCAI (2) Dongdong Chen, Mike E. Davies, Mohammad Golbabaee
2020	J	`jnl`	Compressive MR Fingerprinting reconstruction with Neural Proximal Gradient iterations. CoRR Dongdong Chen, Mike E. Davies, Mohammad Golbabaee
2020	J	`jnl`	Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders. CoRR Mohammad Golbabaee, Guido Bounincontri, Carolin M. Pirkl, Marion I. Menzel, Bjoern H. Menze, Mike E. Davies, Pedro A. Gómez
2020	J	`jnl`	The Practicality of Stochastic Optimization in Imaging Inverse Problems. IEEE Trans. Computational Imaging Junqi Tang, Karen O. Egiazarian, Mohammad Golbabaee, Mike E. Davies
2019	J	`jnl`	Deep MR Fingerprinting with total-variation and low-rank subspace priors. CoRR Mohammad Golbabaee, Carolin M. Pirkl, Marion I. Menzel, Guido Buonincontri, Pedro A. Gómez
2019	Misc	`conf`	Geometry of Deep Learning for Magnetic Resonance Fingerprinting. ICASSP Mohammad Golbabaee, Dongdong Chen, Pedro A. Gómez, Marion I. Menzel, Mike E. Davies
2019	J	`jnl`	The Practicality of Stochastic Optimization in Imaging Inverse Problems. CoRR Junqi Tang, Karen O. Egiazarian, Mohammad Golbabaee, Mike E. Davies
2018	J	`jnl`	A deep learning approach for Magnetic Resonance Fingerprinting. CoRR Mohammad Golbabaee, Dongdong Chen, Pedro A. Gómez, Marion I. Menzel, Mike E. Davies
2018	J	`jnl`	Balanced multi-shot EPI for accelerated Cartesian MRF: An alternative to spiral MRF. CoRR Arnold Julian Vinoj Benjamin, Pedro A. Gómez, Mohammad Golbabaee, Tim Sprenger, Marion I. Menzel, Mike E. Davies, Ian Marshall
2018	J	`jnl`	CoverBLIP: accelerated and scalable iterative matched-filtering for Magnetic Resonance Fingerprint reconstruction. CoRR Mohammad Golbabaee, Zhouye Chen, Yves Wiaux, Mike E. Davies
2018	J	`jnl`	CoverBLIP: scalable iterative matched filtering for MR Fingerprint recovery. CoRR Mohammad Golbabaee, Zhouye Chen, Yves Wiaux, Mike E. Davies
2018	J	`jnl`	Inexact Gradient Projection and Fast Data Driven Compressed Sensing. IEEE Trans. Inf. Theory Mohammad Golbabaee, Mike E. Davies
2018	Misc	`conf`	Insense: Incoherent Sensor Selection for Sparse Signals. ICASSP Amirali Aghazadeh, Mohammad Golbabaee, Andrew S. Lan, Richard G. Baraniuk
2018	J	`jnl`	Insense: Incoherent sensor selection for sparse signals. Signal Process. Amirali Aghazadeh, Mohammad Golbabaee, Andrew S. Lan, Richard G. Baraniuk
2018	A*	`conf`	Rest-Katyusha: Exploiting the Solution's Structure via Scheduled Restart Schemes. NeurIPS Junqi Tang, Mohammad Golbabaee, Francis R. Bach, Mike E. Davies
2017	—	`conf`	Cover tree compressed sensing for fast mr fingerprint recovery. MLSP Mohammad Golbabaee, Zhouye Chen, Yves Wiaux, Mike E. Davies
2017	—	`conf`	Exploiting the structure via sketched gradient algorithms. GlobalSIP Junqi Tang, Mohammad Golbabaee, Mike E. Davies
2017	A*	`conf`	Gradient Projection Iterative Sketch for Large-Scale Constrained Least-Squares. ICML Junqi Tang, Mohammad Golbabaee, Mike E. Davies
2017	J	`jnl`	Inexact Gradient Projection and Fast Data Driven Compressed Sensing. CoRR Mohammad Golbabaee, Mike E. Davies
2017	J	`jnl`	Insense: Incoherent Sensor Selection for Sparse Signals. CoRR Amirali Aghazadeh, Mohammad Golbabaee, Andrew S. Lan, Richard G. Baraniuk
2014	J	`jnl`	Numerical experiments with MALDI Imaging data. Adv. Comput. Math. Jan Hendrik Kobarg, Peter Maass, Janina Oetjen, Oren Tropp, Eyal Hirsch, Chen Sagiv, Mohammad Golbabaee, Pierre Vandergheynst
2014	J	`jnl`	Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). CoRR 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, Rémi Gribonval, Nicolas Boumal, Bamdev Mishra, Pierre-Antoine Absil, Rodolphe Sepulchre, Shaun Bundervoet, Colas Schretter, Ann Dooms, Peter Schelkens, Olivier Chabiron, François Malgouyres, Jean-Yves Tourneret, Nicolas Dobigeon, Pierre Chainais, Cédric Richard, Bruno Cornelis, Ingrid Daubechies, David B. Dunson, Marie Danková, Pavel Rajmic, Kévin Degraux, Valerio Cambareri, Bert Geelen, Gauthier Lafruit, Gianluca Setti, Jean-François Determe, Jérôme Louveaux, François Horlin, Angélique Drémeau, Patrick Héas, Cédric Herzet, Vincent Duval, Gabriel Peyré, Alhussein Fawzi, Mike E. Davies, Nicolas Gillis, Stephen A. Vavasis, Charles Soussen, Luc Le Magoarou, Jingwei Liang, Jalal Fadili, Antoine Liutkus, David Martina, Sylvain Gigan, Laurent Daudet, Mauro Maggioni, Stanislav Minsker, Nate Strawn, C. Mory, Fred Maurice Ngolè Mboula, Jean-Luc Starck, Ignace Loris, Samuel Vaiter, Mohammad Golbabaee, Dejan Vukobratovic
2014	J	`jnl`	SCOOP: A Real-Time Sparsity Driven People Localization Algorithm. J. Math. Imaging Vis. Mohammad Golbabaee, Alexandre Alahi, Pierre Vandergheynst
2014	J	`jnl`	Structured Sparsity Models for Reverberant Speech Separation. IEEE ACM Trans. Audio Speech Lang. Process. Afsaneh Asaei, Mohammad Golbabaee, Hervé Bourlard, Volkan Cevher
2013	J	`jnl`	Compressive Source Separation: Theory and Methods for Hyperspectral Imaging. IEEE Trans. Image Process. Mohammad Golbabaee, Simon Arberet, Pierre Vandergheynst
2013	J	`jnl`	Model Selection with Piecewise Regular Gauges. CoRR Samuel Vaiter, Mohammad Golbabaee, Jalal Fadili, Gabriel Peyré
2012	J	`jnl`	Compressed Sensing of Simultaneous Low-Rank and Joint-Sparse Matrices CoRR Mohammad Golbabaee, Pierre Vandergheynst
2012	—	`—`	Compressive Sampling Strategies for Multichannel Signals - Theory and Applications. Mohammad Golbabaee
2012	J	`jnl`	Compressive Source Separation: Theory and Methods for Hyperspectral Imaging CoRR Mohammad Golbabaee, Simon Arberet, Pierre Vandergheynst
2012	Misc	`conf`	Hyperspectral image compressed sensing via low-rank and joint-sparse matrix recovery. ICASSP Mohammad Golbabaee, Pierre Vandergheynst
2012	B	`conf`	Joint trace/TV norm minimization: A new efficient approach for spectral compressive imaging. ICIP Mohammad Golbabaee, Pierre Vandergheynst
2012	Misc	`conf`	Light field compressive sensing in camera arrays. ICASSP Mahdad Hosseini Kamal, Mohammad Golbabaee, Pierre Vandergheynst
2012	J	`jnl`	Structured Sparsity Models for Multiparty Speech Recovery from Reverberant Recordings CoRR Afsaneh Asaei, Mohammad Golbabaee, Hervé Bourlard, Volkan Cevher
2010	—	`conf`	Multichannel compressed sensing via source separation for hyperspectral images. EUSIPCO Mohammad Golbabaee, Simon Arberet, Pierre Vandergheynst
2008	Misc	`conf`	Average case analysis of sparse recovery with thresholding : New bounds based on average dictionary coherence. ICASSP Mohammad Golbabaee, Pierre Vandergheynst