Multi‐scale anatomical regularization for domain‐adaptive segmentation of pelvic CBCT images

Authors

Yunkui Pang (ORCID: https://orcid.org/0000-0003-2798-337X)
Pew‐Thian Yap (ORCID: https://orcid.org/0000-0003-1489-2102)
Jun Lian (ORCID: https://orcid.org/0000-0002-2041-9074)
Xu Chen (ORCID: https://orcid.org/0000-0002-1805-5435)

Institutions

University of North Carolina at Chapel Hill (US)
Huaqiao University (CN)
Imaging Center (US)

Publication Details

Journal: Medical Physics
Published: 2024-09-03
DOI: https://doi.org/10.1002/mp.17378
Citations: 2
Primary Topic: Advanced Neural Network Applications
Type: article
Field-Weighted Citation Impact: 0.50

Funders

Natural Science Foundation of Xiamen City
National Natural Science Foundation of China
Natural Science Foundation of Fujian Province
Huaqiao University
National Institutes of Health

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Multi‐scale anatomical regularization for domain‐adaptive segmentation of pelvic CBCT images

Yunkui Pang, Pew‐Thian Yap, Jun Lian, Xu Chen

Sep 3, 2024

2 citations

Medical Physics

Advanced Neural Network Applications

0.50

article

Multi‐scale anatomical regularization for domain‐adaptive segmentation of pelvic CBCT images

Yunkui Pang, Pew‐Thian Yap, Jun Lian, Xu Chen

September 3, 2024article en

2 citations

Abstract

No abstract available for this paper.

Medical PhysicsVol. 51(12)

University of North Carolina at Chapel Hill (US), Huaqiao University (CN), Imaging Center (US)

Natural Science Foundation of Xiamen City, National Natural Science Foundation of China, Natural Science Foundation of Fujian Province, Huaqiao University, National Institutes of Health

Industry, innovation and infrastructure

Openalex Percentile: Top 36%

Advanced Neural Network Applications

0.50

DOI Open Access PDF OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.