IEEE TMI

Explainable Normative Modeling for Brain Disorder Identification in Resting-State fMRI

Y. Shon, E. Kang, D.-W. Heo, H.-I. Suk

Leveraging Input-Level Feature Deformation with Guided-Attention for Sulcal Labeling

Seungeun Lee, Seunghwan Lee, Ethan Willbrand, Benjamin Parker, Silvia Bunge, Kevin Weiner, Ilwoo Lyu

SPHARM-Reg: Unsupervised Cortical Surface Registration using Spherical Harmonics

Seungeun Lee, Seunghwan Lee, Sunghwa Ryu, Ilwoo Lyu

Steerable conditional diffusion for out-of-distribution adaptation in medical image reconstruction

Riccardo Barbano, Alexander Denker, Hyungjin Chung, Tae Hoon Roh, Simon Arridge, Peter Maass, Bangti Jin, Jong Chul Ye

A Learnable Counter-condition Analysis Framework for Functional Connectivity-based Neurological Disorder Diagnosis

E. Kang, D. Heo, J. Lee, H.-I. Suk

EAG-RS: A Novel Explainability-guided ROI-Selection Framework for ASD Diagnosis via Inter-regional Relation Learning

W. Jung, E. Jeon, E. Kang, H.-I. Suk

Developing Explainable Deep Model for Discovering Novel Control Mechanism of Neuro-Dynamics

Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu

MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion

H. Chung, E. S. Lee, Jong Chul Ye

Multi-Task Distributed Learning Using Vision Transformer With Random Patch Permutation

S. Park, Jong Chul Ye

Physics-Guided Deep Scatter Estimation by Weak Supervision for Quantitative SPECT

H V Kim, Z Li, J Y Son, J A Fessler, Y K Dewaraja, S Y Chun