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Ali Hashemi
Ali Hashemi
ML Research Scientist at BIFOLD, PostDoc at Technische Universität Berlin
Verified email at tu-berlin.de - Homepage
Title
Cited by
Cited by
Year
Robust estimation of noise for electromagnetic brain imaging with the champagne algorithm
C Cai, A Hashemi, M Diwakar, S Haufe, K Sekihara, SS Nagarajan
NeuroImage 225, 117411, 2021
302021
Unification of sparse Bayesian learning algorithms for electromagnetic brain imaging with the majorization minimization framework
A Hashemi, C Cai, G Kutyniok, KR Müller, SS Nagarajan, S Haufe
NeuroImage 239, 118309, 2021
212021
Improving EEG source localization through spatio-temporal sparse Bayesian learning
A Hashemi, S Haufe
2018 26th European Signal Processing Conference (EUSIPCO), 1935-1939, 2018
142018
Robust strategic planning: Using scenario planning and fuzzy inference system
P Hanafizadeh, SM Arabi, A Hashemi
Management Research in Iran 10 (20), 137-170, 2021
132021
Efficient environmental temperature monitoring using compressed sensing
A Hashemi, M Rostami, NM Cheung
2016 Data Compression Conference (DCC), 602-602, 2016
82016
Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging
A Hashemi, Y Gao, C Cai, S Ghosh, KR Müller, SS Nagarajan, S Haufe
https://arxiv.org/abs/2111.01692v1, 2021
72021
Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging
A Hashemi, Y Gao, C Cai, S Ghosh, KR Müller, SS Nagarajan, S Haufe
Advances in Neural Information Processing Systems 35, 2021
72021
Joint learning of full-structure noise in hierarchical Bayesian regression models
A Hashemi, C Cai, Y Gao, S Ghosh, KR Müller, SS Nagarajan, S Haufe
IEEE Transactions on Medical Imaging, 2022
62022
Approximate recovery of initial point-like and instantaneous sources from coarsely sampled thermal fields via infinite-dimensional compressed sensing
A Flinth, A Hashemi
2018 26th European Signal Processing Conference (EUSIPCO), 1720-1724, 2018
62018
Thermal source localization through infinite-dimensional compressed sensing
A Flinth, A Hashemi
arXiv preprint arXiv:1710.02016, 2017
62017
Bayesian adaptive beamformer for robust electromagnetic brain imaging of correlated sources in high spatial resolution
C Cai, Y Long, S Ghosh, A Hashemi, Y Gao, M Diwakar, S Haufe, ...
IEEE Transactions on Medical Imaging, 2023
42023
Bayesian algorithms for joint estimation of brain activity and noise in electromagnetic imaging
C Cai, H Kang, A Hashemi, D Chen, M Diwakar, S Haufe, K Sekihara, ...
IEEE Transactions on Medical Imaging 42 (3), 762-773, 2022
42022
Empirical Bayesian localization of event-related time-frequency neural activity dynamics
C Cai, L Hinkley, Y Gao, A Hashemi, S Haufe, K Sekihara, SS Nagarajan
NeuroImage 258, 119369, 2022
32022
Bayesian Inference for Brain Source Imaging with Joint Estimation of Structured Low-rank Noise
S Ghosh, C Cai, Y Gao, A Hashemi, S Haufe, K Sekihara, A Raj, ...
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023
12023
Advances in hierarchical Bayesian learning with applications to neuroimaging
A Hashemi
2023
Novel Techniques for Noise Estimation in Electromagnetic Brain Source Imaging.
A Hashemi, C Cai, Y Gao, S Ghosh, KR Müller, S Nagarajan, S Haufe
International Journal of Bioelectromagnetism 23 (1), 2021
2021
Joint Hierarchical Bayesian Learning of Full-structure Noise for Brain Source Imaging
A Hashemi, C Cai, KR Müller, SS Nagarajan, S Haufe
Medical Imaging Meets NeurIPS (Med-NeurIPS) Workshop, 2020
2020
Compressed Sensing: From Theory to Praxis
A Flinth, A Hashemi, G Kutyniok
Compressive Sensing of Earth Observations, 1-32, 2017
2017
UAV Forge: Innovation for Personal Autonomous Systems
C Prijic, M Aseno, R Wilson, J Ortega, A Hashemi, C Pisuraj, A Sargsyan, ...
eScholarship, University of California, 2015
2015
Joint Hierarchical Bayesian Learning of Full-structure Noise for Brain Source Imaging
A Hashemi, C Cai, KR Müller, SS Nagarajan, S Haufe
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Articles 1–20