1 citations · 1 across the 5 of their papers we have counts for
5 papers
Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping
Mohammed Amer, Mohamed A. Suliman, Tu Bui +2
Healthcare applications are inherently multimodal, benefiting greatly from the integration of diverse data sources. However, the modalities available in clinical settings can vary…
X2Graph for Cancer Subtyping Prediction on Biological Tabular Data
Tu Bui, Mohamed Suliman, Aparajita Haldar +2
Despite the transformative impact of deep learning on text, audio, and image datasets, its dominance in tabular data, especially in the medical domain where data are often scarce,…
Unsupervised Multimodal Surface Registration with Geometric Deep Learning
Mohamed A. Suliman, Logan Z. J. Williams, Abdulah Fawaz +1
This paper introduces GeoMorph, a novel geometric deep-learning framework designed for image registration of cortical surfaces. The registration process consists of two main steps.…
The Multiscale Surface Vision Transformer
Simon Dahan, Logan Z. J. Williams, Daniel Rueckert +1
Surface meshes are a favoured domain for representing structural and functional information on the human cortex, but their complex topology and geometry pose significant challenges…
A Deep-Discrete Learning Framework for Spherical Surface Registration
Mohamed A. Suliman, Logan Z. J. Williams, Abdulah Fawaz +1
Cortical surface registration is a fundamental tool for neuroimaging analysis that has been shown to improve the alignment of functional regions relative to volumetric approaches.…