Ali Hashemi - RankMe

15 papers A* 1B 1Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Distilling Lightweight Domain Experts from Large ML Models by Identifying Relevant Subspaces. CoRR Pattarawat Chormai, Ali Hashemi, Klaus-Robert Müller, Grégoire Montavon
2026	J	`jnl`	Enhancing Brain Source Reconstruction by Initializing 3-D Neural Networks With Physical Inverse Solutions. IEEE Trans. Medical Imaging Marco Morik, Ali Hashemi, Klaus-Robert Müller, Stefan Haufe, Shinichi Nakajima
2024	J	`jnl`	Enhancing Brain Source Reconstruction through Physics-Informed 3D Neural Networks. CoRR Marco Morik, Ali Hashemi, Klaus-Robert Müller, Stefan Haufe, Shinichi Nakajima
2024	J	`jnl`	Joint Learning of Full-Structure Noise in Hierarchical Bayesian Regression Models. IEEE Trans. Medical Imaging Ali Hashemi, Chang Cai, Yijing Gao, Sanjay Ghosh, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe
2023	J	`jnl`	Bayesian Adaptive Beamformer for Robust Electromagnetic Brain Imaging of Correlated Sources in High Spatial Resolution. IEEE Trans. Medical Imaging Chang Cai, Yuanshun Long, Sanjay Ghosh, Ali Hashemi, Yijing Gao, Mithun Diwakar, Stefan Haufe, Kensuke Sekihara, Wei Wu, Srikantan S. Nagarajan
2023	J	`jnl`	Bayesian Algorithms for Joint Estimation of Brain Activity and Noise in Electromagnetic Imaging. IEEE Trans. Medical Imaging Chang Cai, Huicong Kang, Ali Hashemi, Dan Chen, Mithun Diwakar, Stefan Haufe, Kensuke Sekihara, Wei Wu, Srikantan S. Nagarajan
2023	—	`conf`	Bayesian Inference for Brain Source Imaging with Joint Estimation of Structured Low-Rank Noise. ISBI Sanjay Ghosh, Chang Cai, Yijing Gao, Ali Hashemi, Stefan Haufe, Kensuke Sekihara, Ashish Raj, Srikantan S. Nagarajan
2022	J	`jnl`	Empirical Bayesian localization of event-related time-frequency neural activity dynamics. NeuroImage Chang Cai, Leighton B. N. Hinkley, Yijing Gao, Ali Hashemi, Stefan Haufe, Kensuke Sekihara, Srikantan S. Nagarajan
2021	J	`jnl`	Efficient Hierarchical Bayesian Inference for Spatio-temporal Regression Models in Neuroimaging. CoRR Ali Hashemi, Yijing Gao, Chang Cai, Sanjay Ghosh, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe
2021	A*	`conf`	Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging. NeurIPS Ali Hashemi, Yijing Gao, Chang Cai, Sanjay Ghosh, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe
2021	J	`jnl`	Robust estimation of noise for electromagnetic brain imaging with the champagne algorithm. NeuroImage Chang Cai, Ali Hashemi, Mithun Diwakar, Stefan Haufe, Kensuke Sekihara, Srikantan S. Nagarajan
2021	J	`jnl`	Unification of sparse Bayesian learning algorithms for electromagnetic brain imaging with the majorization minimization framework. NeuroImage Ali Hashemi, Chang Cai, Gitta Kutyniok, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe
2018	—	`conf`	Approximate Recovery of Initial Point-like and Instantaneous Sources from Coarsely Sampled Thermal Fields via Infinite-Dimensional Compressed Sensing. EUSIPCO Axel Flinth, Ali Hashemi
2018	—	`conf`	Improving EEG Source Localization Through Spatio-Temporal Sparse Bayesian Learning. EUSIPCO Ali Hashemi, Stefan Haufe
2016	B	`conf`	Efficient Environmental Temperature Monitoring Using Compressed Sensing. DCC Ali Hashemi, Mohammad Rostami, Ngai-Man Cheung