Deep Learning for Biomedical Image Reconstruction

Unlock the potential of deep neural networks in the realm of biomedical image reconstruction with Deep Learning for Biomedical Image Reconstruction by Jong Chul Ye. Published by Cambridge University Press in 2023, this hardback edition spans a comprehensive 400 pages of cutting-edge research and applications.

This book offers a thorough review of modern theories in deep learning, enriched with interdisciplinary examples that bridge the gap between technology and clinical practice. Readers will benefit from a step-by-step introduction to deep learning fundamentals, making complex concepts accessible. With insights into future trends and real-world clinical studies, Deep Learning for Biomedical Image Reconstruction is an essential resource for professionals and students alike, eager to explore the transformative impact of deep learning in biomedical imaging.