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Enhancing Ultra-Low-Field MRI with Paired High-Field MRI Comparisons for Brain Imaging First International Challenge, ULF-EnC 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings
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Lecture Notes in Computer Science
Enhancing Ultra-Low-Field MRI with Paired High-Field MRI Comparisons for Brain Imaging
First International Challenge, ULF-EnC 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings
Zhaolin Chen | Sanuwani Dayarathna | Kh Tohidul Islam | Himashi Peiris | Parisa Zakavi | Shenjun Zhong
Computers / Artificial Intelligence / Computer Vision & Pattern Recognition
This book constitutes the proceedings of the First ULF-EnC 2025 Challenge on Enhancing Ultra-Low-Field MRI with Paired High-Field MRI Comparisons for Brain Imaging, held in conjunction with MICCAI 2025.
The 19 papers included in this book were carefully reviewed and selected from 21 short papers submitted to the proceedings.
The challenge addressed a timely and clinically significant problem: bridging the quality gap between ultra-low-field (64 mT) and high-field (3T) brain MRI through algorithmic enhancement using paired imaging data.
| Publication Date: | 03 July 2026 |
| Publisher: | Springer Nature Switzerland |
| Imprint: | Springer |
| ISBN-13: | 9783032233431 |
| Format: | Paperback softback |
| Page Count: | 184 |