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eess.IV2024
Unsupervised dMRI Artifact Detection via Angular Resolution Enhancement and Cycle Consistency Learning
Sheng Chen, Zihao Tang, Xinyi Wang +2
Diffusion magnetic resonance imaging (dMRI) is a crucial technique in neuroimaging studies, allowing for the non-invasive probing of the underlying structures of brain tissues. Cli…
eess.IV2024
Symmetry Awareness Encoded Deep Learning Framework for Brain Imaging Analysis
Yang Ma, Dongang Wang, Peilin Liu +4
The heterogeneity of neurological conditions, ranging from structural anomalies to functional impairments, presents a significant challenge in medical imaging analysis tasks. Moreo…
cs.CV2024
How Much Data are Enough? Investigating Dataset Requirements for Patch-Based Brain MRI Segmentation Tasks
Dongang Wang, Peilin Liu, Hengrui Wang +11
Training deep neural networks reliably requires access to large-scale datasets. However, obtaining such datasets can be challenging, especially in the context of neuroimaging analy…