NeuroImage

An improved combination of T1-weighted and FLAIR contrasts for myelin water imaging

Drenthen GS, Backes WH, Stalls J, van Dinther M, Voorter PHM, Lee J, Koehler S, Jansen WJ, Jansen JFA

A Quantitatively Interpretable Model for Alzheimer’s Disease Prediction Using Deep Counterfactuals

K. Oh, D.-W. Heo, A. Mulyadi, W. Jung, E. Kang, K. Lee, H.-I. Suk

In-vivo high-resolution χ-separation at 7T

Kim J, Kim M, Ji S, Min K, Jeong H, Shin HG, Oh C, Fox RC, Sakaie KE, Lowe MJ, Oh SH, Straub S, Kim SG, Lee J

Resolution Generalization of Deep Learning-based Dipole Inversion Networks for QSM

Ji S, Kim M, Lee J, Shin HG

χ-separation Insights into Whole-brain Characterization of Age-related Patterns of Susceptibility in Healthy Aging

Zhou S, Bito Y, Kameda H, Ikebe Y, Shimizu Y, Fujima N, Harada T, Kinota N, Kato D, Fuji T, Bai X, Moon B, Lee J, Kudo K

Disentangling brain atrophy heterogeneity in Alzheimer's disease: A deep self-supervised approach with interpretable latent space

Sohyun Kang, Sung-Woo Kim, Joon-Kyung Seong

Unpaired Deep Learning for Pharmacokinetic Parameter Estimation from Dynamic Contrast-Enhanced MRI without AIF Measurements

Gyutaek Oh, Yeonsil Moon, Won-Jin Moon, Jong Chul Ye

Depth-wise profiles of iron and myelin in the cortex and white matter

Lee S, Shin HG, Kim M, Lee J

Estimating Explainable Alzheimer’s Disease Likelihood Map via Clinically-guided Prototype Learning

A. W. Mulyadi, W. Jung, K. Oh, J. S. Yoon, K. H. Lee, H.-I. Suk