Search Results for author: Anqi Feng

Found 6 papers, 0 papers with code

Revisiting registration-based synthesis: A focus on unsupervised MR image synthesis

no code implementations19 Feb 2024 Savannah P. Hays, Lianrui Zuo, Yihao Liu, Anqi Feng, Jiachen Zhuo, Jerry L. Prince, Aaron Carass

Subsequently, this estimated deformation is applied to align the paired WMn counterpart of the moving CSFn image, yielding a synthetic WMn image for the fixed CSFn image.

Anatomy Image Registration +1

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

no code implementations25 Aug 2023 Yuli Wang, Peiyu Duan, Zhangxing Bian, Anqi Feng, Yuan Xue

Annotating biomedical images for supervised learning is a complex and labor-intensive task due to data diversity and its intricate nature.

Image Classification

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

no code implementations11 Jul 2023 Anqi Feng, Dimitri Johnson, Grace R. Reilly, Loka Thangamathesvaran, Ann Nampomba, Mathias Unberath, Adrienne W. Scott, Craig Jones

A pre-trained ResNet-50 neural network was trained on a subset of the images and the classification accuracy, sensitivity, and specificity were quantified on the hold out test set.

Artifact Detection Specificity

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

no code implementations3 Mar 2023 Yuli Wang, Anqi Feng, Yuan Xue, Lianrui Zuo, Yihao Liu, Ari M. Blitz, Mark G. Luciano, Aaron Carass, Jerry L. Prince

Normal pressure hydrocephalus~(NPH) is a brain disorder associated with enlarged ventricles and multiple cognitive and motor symptoms.

Management

Segmenting thalamic nuclei from manifold projections of multi-contrast MRI

no code implementations15 Jan 2023 Chang Yan, Muhan Shao, Zhangxing Bian, Anqi Feng, Yuan Xue, Jiachen Zhuo, Rao P. Gullapalli, Aaron Carass, Jerry L. Prince

After registration of these contrasts and isolation of the thalamus, we use the uniform manifold approximation and projection (UMAP) method for dimensionality reduction to produce a low-dimensional representation of the data within the thalamus.

Dimensionality Reduction

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