Ali Hashemi

According to our database, Ali Hashemi authored at least 11 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Joint Learning of Full-Structure Noise in Hierarchical Bayesian Regression Models.

Ali Hashemi, Chang Cai, Yijing Gao, Sanjay Ghosh, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe

IEEE Trans. Medical Imaging, February, 2024

2023

Bayesian Adaptive Beamformer for Robust Electromagnetic Brain Imaging of Correlated Sources in High Spatial Resolution.

Chang Cai, Yuanshun Long, Sanjay Ghosh, Ali Hashemi, Yijing Gao, Mithun Diwakar, Stefan Haufe, Kensuke Sekihara, Wei Wu, Srikantan S. Nagarajan

IEEE Trans. Medical Imaging, September, 2023

Bayesian Algorithms for Joint Estimation of Brain Activity and Noise in Electromagnetic Imaging.

Chang Cai, Huicong Kang, Ali Hashemi, Dan Chen, Mithun Diwakar, Stefan Haufe, Kensuke Sekihara, Wei Wu, Srikantan S. Nagarajan

IEEE Trans. Medical Imaging, March, 2023

Bayesian Inference for Brain Source Imaging with Joint Estimation of Structured Low-Rank Noise.

Sanjay Ghosh, Chang Cai, Yijing Gao, Ali Hashemi, Stefan Haufe, Kensuke Sekihara, Ashish Raj, Srikantan S. Nagarajan

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Empirical Bayesian localization of event-related time-frequency neural activity dynamics.

Chang Cai, Leighton B. N. Hinkley, Yijing Gao, Ali Hashemi, Stefan Haufe, Kensuke Sekihara, Srikantan S. Nagarajan

NeuroImage, 2022

2021

Unification of sparse Bayesian learning algorithms for electromagnetic brain imaging with the majorization minimization framework.

Ali Hashemi, Chang Cai, Gitta Kutyniok, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe

NeuroImage, 2021

Robust estimation of noise for electromagnetic brain imaging with the champagne algorithm.

Chang Cai, Ali Hashemi, Mithun Diwakar, Stefan Haufe, Kensuke Sekihara, Srikantan S. Nagarajan

NeuroImage, 2021

Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging.

Ali Hashemi, Yijing Gao, Chang Cai, Sanjay Ghosh, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2018

Improving EEG Source Localization Through Spatio-Temporal Sparse Bayesian Learning.

Ali Hashemi, Stefan Haufe

Proceedings of the 26th European Signal Processing Conference, 2018

Approximate Recovery of Initial Point-like and Instantaneous Sources from Coarsely Sampled Thermal Fields via Infinite-Dimensional Compressed Sensing.

Axel Flinth, Ali Hashemi

Proceedings of the 26th European Signal Processing Conference, 2018

2016

Efficient Environmental Temperature Monitoring Using Compressed Sensing.

Ali Hashemi, Mohammad Rostami, Ngai-Man Cheung

Proceedings of the 2016 Data Compression Conference, 2016