Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning
S Fadnavis, J Batson… - Advances in Neural …, 2020 - proceedings.neurips.cc
Diffusion-weighted magnetic resonance imaging (DWI) is the only non-invasive method for
quantifying microstructure and reconstructing white-matter pathways in the living human …
quantifying microstructure and reconstructing white-matter pathways in the living human …
The effect of elimination of gibbs ringing, noise and systematic errors on the DTI metrics and tractography in a rat brain
W Mazur-Rosmus, AT Krzyżak - Scientific Reports, 2024 - nature.com
Diffusion tensor imaging (DTI) metrics and tractography can be biased due to low signal-to-
noise ratio (SNR) and systematic errors resulting from image artifacts and imperfections in …
noise ratio (SNR) and systematic errors resulting from image artifacts and imperfections in …
Patch2Self2: Self-supervised Denoising on Coresets via Matrix Sketching
Diffusion MRI (dMRI) non-invasively maps brain white matter yet necessitates denoising due
to low signal-to-noise ratios. Patch2Self (P2S) employing self-supervised techniques and …
to low signal-to-noise ratios. Patch2Self (P2S) employing self-supervised techniques and …
The added value of diffusion tensor imaging with systematic bias correction for the assessment of liver morphology and physiology
W Mazur‐Rosmus, WM Spees… - NMR in …, 2024 - Wiley Online Library
Diffusion‐weighted images of the human liver are prone to artifacts from bulk motions, poor
SNR, non‐uniformity of magnetic field gradients, and non‐optimal choice of diffusion …
SNR, non‐uniformity of magnetic field gradients, and non‐optimal choice of diffusion …
Patch2Self denoising of diffusion MRI with self-supervision and matrix sketching
Diffusion-weighted magnetic resonance imaging (DWI) is the only noninvasive method for
quantifying microstructure and reconstructing white-matter pathways in the living human …
quantifying microstructure and reconstructing white-matter pathways in the living human …
[图书][B] Learning Representations of Diffusion Magnetic Resonance Images
S Fadnavis - 2022 - search.proquest.com
The thesis proposes novel representation learning methods using self-supervised learning,
topological optimization and multi-view learning. The methods and algorithms developed …
topological optimization and multi-view learning. The methods and algorithms developed …