output
20022026
most citedVoxelMorph: A Learning Framework for Deformable Medical Image Registration

2.2k citations

156 papers

cs.CV2026

Improved Multiscale Structural Mapping with Supervertex Vision Transformer for the Detection of Alzheimer's Disease Neurodegeneration

Geonwoo Baek, David H. Salat, Ikbeom Jang

Alzheimer's disease (AD) confirmation often relies on positron emission tomography (PET) or cerebrospinal fluid (CSF) analysis, which are costly and invasive. Consequently, structu…

q-bio.NC2026

Simple Models, Rich Representations: Visual Decoding from Primate Intracortical Neural Signals

Matteo Ciferri, Matteo Ferrante, Nicola Toschi

Understanding how neural activity gives rise to perception is a central challenge in neuroscience. We address the problem of decoding visual information from high-density intracort…

cs.LG2025★ 1 cited

Deep infant brain segmentation from multi-contrast MRI

Malte Hoffmann, Lilla Zöllei, Adrian V. Dalca

Segmentation of magnetic resonance images (MRI) facilitates analysis of human brain development by delineating anatomical structures. However, in infants and young children, accura…

eess.IV2025

GACELLE: GPU-accelerated tools for model parameter estimation and image reconstruction

Kwok-Shing Chan, Hansol Lee, Yixin Ma +4

Quantitative MRI (qMRI) offers tissue-specific biomarkers that can be tracked over time or compared across populations; however, its adoption in clinical research is hindered by si…

physics.med-ph2025

A dynamic shim approach for correcting eddy current effects in diffusion-prepared MRI acquisition using a multi-coil AC/DC shim-array

Congyu Liao, Jason P. Stockmann, Zhitao Li +18

Purpose: We developed a dynamic B0 shimming approach using a 46-channel AC/DC shim array to correct phase errors caused by eddy currents from diffusion-encoding gradients in diffus…

physics.med-ph2025★ 1 cited

MC BTS: simultaneously resolving magnetization transfer effect and relaxation for multiple components

Albert Jang, Hyungseok Jang, Nian Wang +2

We propose a signal acquisition and modeling framework for multi-component tissue quantification that encompasses transmit field inhomogeneity, multi-component relaxation and magne…