Deep-learning-based body-cavity segmentation to accurately preserve sliding motion in DIR-based super-resolution reconstruction of time-resolved 4DMRI Meeting Abstract
| Authors: | Pawar, H.; Elguindi, S.; Nie, X. Y.; Li, G. |
| Abstract Title: | Deep-learning-based body-cavity segmentation to accurately preserve sliding motion in DIR-based super-resolution reconstruction of time-resolved 4DMRI |
| Meeting Title: | Annual Meeting of the European Society for Radiotherapy and Oncology (ESTRO 2025) |
| Keywords: | deformable registration; deep-learning autocontour |
| Journal Title: | Radiotherapy and Oncology |
| Volume: | 206 |
| Issue: | Suppl. 1 |
| Meeting Dates: | 2025 May 2-6 |
| Meeting Location: | Vienna, Austria |
| ISSN: | 0167-8140 |
| Publisher: | Elsevier Inc. |
| Date Published: | 2025-05-01 |
| Start Page: | S3384 |
| Language: | English |
| ACCESSION: | WOS:001521420300005 |
| PROVIDER: | wos |
| DOI: | 10.1016/S0167-8140(25)00531-6 |
| Notes: | Meeting Abstract: 1558 -- Source: Wos |
Altmetric
Citation Impact
BMJ Impact Analytics
Related MSK Work