most citedDomain Adaptation using Silver Standard Masks for Lateral Ventricle Segmentation in FLAIR MRI

3 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2023★ 3 cited

Domain Adaptation using Silver Standard Masks for Lateral Ventricle Segmentation in FLAIR MRI

Owen Crystal, Pejman J. Maralani, Sandra Black +2

Lateral ventricular volume (LVV) is an important biomarker for clinical investigation. We present the first transfer learning-based LVV segmentation method for fluid-attenuated inv…

eess.IV2023★ 2 cited

Effect of Intensity Standardization on Deep Learning for WML Segmentation in Multi-Centre FLAIR MRI

Abdollah Ghazvanchahi, Pejman Jahbedar Maralani, Alan R. Moody +1

Deep learning (DL) methods for white matter lesion (WML) segmentation in MRI suffer a reduction in performance when applied on data from a scanner or centre that is out-of-distribu…

cs.CV2023

MLP-SRGAN: A Single-Dimension Super Resolution GAN using MLP-Mixer

Samir Mitha, Seungho Choe, Pejman Jahbedar Maralani +2

We propose a novel architecture called MLP-SRGAN, which is a single-dimension Super Resolution Generative Adversarial Network (SRGAN) that utilizes Multi-Layer Perceptron Mixers (M…

cs.CV2021★ 1 cited

Adapting to Unseen Vendor Domains for MRI Lesion Segmentation

Brandon Mac, Alan R. Moody, April Khademi

One of the key limitations in machine learning models is poor performance on data that is out of the domain of the training distribution. This is especially true for image analysis…

cs.CV2021

FlowReg: Fast Deformable Unsupervised Medical Image Registration using Optical Flow

Sergiu Mocanu, Alan R. Moody, April Khademi

We propose FlowReg, a deep learning-based framework for unsupervised image registration for neuroimaging applications. The system is composed of two architectures that are trained…