4 citations · 4 across the 3 of their papers we have counts for
3 papers
Two-Parameter Flow Map Learning for Continuous-Time Diffeomorphic Image Registration
Mohammadjavad Matinkia, Nilanjan Ray
Diffeomorphic image registration is central to medical image analysis, enabling anatomically consistent alignment across subjects. Most learning-based diffeomorphic methods model a…
Learning Diffeomorphism for Image Registration with Time-Continuous Networks using Semigroup Regularization
Mohammadjavad Matinkia, Nilanjan Ray
Diffeomorphic image registration (DIR) is a fundamental task in 3D medical image analysis that seeks topology-preserving deformations between image pairs. To ensure diffeomorphism,…
Maximum Entropy Weighted Independent Set Pooling for Graph Neural Networks
Amirhossein Nouranizadeh, Mohammadjavad Matinkia, Mohammad Rahmati +1
In this paper, we propose a novel pooling layer for graph neural networks based on maximizing the mutual information between the pooled graph and the input graph. Since the maximum…