Label Propagation Via Random Walk for Training Robust Thalamus Nuclei Parcellation Model from Noisy Annotations-Reference-Cited by-同舟云学术

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

Published:2023-04-18 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)
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Author:

Feng Anqi¹,Xue Yuan²,Wang Yuli¹,Yan Chang³,Bian Zhangxing²,Shao Muhan²,Zhuo Jiachen⁴,Gullapalli Rao P.⁴,Carass Aaron²,Prince Jerry L.¹

Affiliation:

1. Johns Hopkins School of Medicine,Department of Biomedical Engineering,USA

2. Johns Hopkins University,Department of Electrical and Computer Engineering,USA

3. ETH Zurich,Department of Information Technology and Electrical Engineering,Switzerland

4. University of Maryland School of Medicine,Department of Diagnostic Radiology and Nuclear Medicine,USA

Funder

National Institute of Neurological Disorders and Stroke

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10230311/10230322/10230466.pdf?arnumber=10230466

Reference20 articles.

1. Random Walks for Image Segmentation

2. Segmenting thalamic nuclei from manifold projections of multi-contrast MRI

3. Multiple Sclerosis brain lesion segmentation with different architecture ensembles;tohidi;Proceedings of SPIE Medical Imaging (SPIE-MI 2023) San Diego CA February 19 - 23 2023,2023

4. A high resolution and high contrast MRI for differentiation of subcortical structures for DBS targeting: The Fast Gray Matter Acquisition T1 Inversion Recovery (FGATIR)

5. UMAP: Uniform Manifold Approximation and Projection

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1. Segmenting thalamic nuclei from manifold projections of multi-contrast MRI;Medical Imaging 2023: Image Processing;2023-04-03