activity
20132021
most citedTADPOLE Challenge: Accurate Alzheimer's disease prediction through crowdsourced forecasting of future data

73 citations · 109 across the 16 of their papers we have counts for

collaborators

28 papers

eess.IV20214 cited

3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images

Sungmin Hong, Razvan Marinescu, Adrian V. Dalca +4

Image synthesis via Generative Adversarial Networks (GANs) of three-dimensional (3D) medical images has great potential that can be extended to many medical applications, such as,…

eess.IV20212 cited

STRESS: Super-Resolution for Dynamic Fetal MRI using Self-Supervised Learning

Junshen Xu, Esra Abaci Turk, P. Ellen Grant +2

Fetal motion is unpredictable and rapid on the scale of conventional MR scan times. Therefore, dynamic fetal MRI, which aims at capturing fetal motion and dynamics of fetal functio…

cs.GR2021

BrainPainter v2: Mouse Brain Visualization Software

Vedvayas Mallela, Polina Golland, Razvan V. Marinescu

BrainPainter is a software for the 3D visualization of human brain structures; it generates colored brain images using user-defined biomarker data for each brain region. However, B…

cs.CV2021

Equivariant Filters for Efficient Tracking in 3D Imaging

Daniel Moyer, Esra Abaci Turk, P Ellen Grant +2

We demonstrate an object tracking method for 3D images with fixed computational cost and state-of-the-art performance. Previous methods predicted transformation parameters from con…

cs.LG20215 cited

Harmonization and the Worst Scanner Syndrome

Daniel Moyer, Polina Golland

We show that for a wide class of harmonization/domain-invariance schemes several undesirable properties are unavoidable. If a predictive machine is made invariant to a set of domai…

eess.IV2020

Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast

Juan Eugenio Iglesias, Benjamin Billot, Yael Balbastre +6

Most existing algorithms for automatic 3D morphometry of human brain MRI scans are designed for data with near-isotropic voxels at approximately 1 mm resolution, and frequently hav…