most citedSegmenting thalamic nuclei from manifold projections of multi-contrast MRI

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

eess.IV2023

Efficient Annotation for Medical Image Analysis: A One-Pass Selective Annotation Approach

Yuli Wang, Peiyu Duan, Zhangxing Bian +2

Annotating biomedical images for supervised learning is a complex and labor-intensive task due to data diversity and its intricate nature. In this paper, we propose an innovative m…

cs.CV2023

Automated Artifact Detection in Ultra-widefield Fundus Photography of Patients with Sickle Cell Disease

Anqi Feng, Dimitri Johnson, Grace R. Reilly +5

Importance: Ultra-widefield fundus photography (UWF-FP) has shown utility in sickle cell retinopathy screening; however, image artifact may diminish quality and gradeability of ima…

eess.IV2023

Label Propagation via Random Walk for Training Robust Thalamus Nuclei Parcellation Model from Noisy Annotations

Anqi Feng, Yuan Xue, Yuli Wang +7

Data-driven thalamic nuclei parcellation depends on high-quality manual annotations. However, the small size and low contrast changes among thalamic nuclei, yield annotations that…

eess.IV2023

Automated Ventricle Parcellation and Evan's Ratio Computation in Pre- and Post-Surgical Ventriculomegaly

Yuli Wang, Anqi Feng, Yuan Xue +6

Normal pressure hydrocephalus~(NPH) is a brain disorder associated with enlarged ventricles and multiple cognitive and motor symptoms. The degree of ventricular enlargement can be…

eess.IV2023★ 1 cited

Segmenting thalamic nuclei from manifold projections of multi-contrast MRI

Chang Yan, Muhan Shao, Zhangxing Bian +6

The thalamus is a subcortical gray matter structure that plays a key role in relaying sensory and motor signals within the brain. Its nuclei can atrophy or otherwise be affected by…