Mehmet Akçakaya

This paper extends locally low-rank denoising techniques to transform domains, improving MR image denoising with fewer images.

This paper introduces a novel fMRI denoising technique that improves temporal-SNR and functional map detection without altering signal amplitudes or spatial precision.

The paper evaluates the NORDIC method for reducing thermal noise in fMRI data, showing it improves sensitivity and preserves spatiotemporal precision without significant loss of temporal information.

This paper introduces NORDIC, a denoising framework for dMRI that improves SNR and fiber resolution, outperforming existing methods in simulations and human connectome data.