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Enhancing Ultra-Low-Field MRI with Paired High-Field MRI Comparisons for Brain Imaging
  • Enhancing Ultra-Low-Field MRI with Paired High-Field MRI Comparisons for Brain Imaging
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

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

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