14 citations · 33 across the 7 of their papers we have counts for
5 papers · 1 filter
ConvShareViT: Enhancing Vision Transformers with Convolutional Attention Mechanisms for Free-Space Optical Accelerators
Riad Ibadulla, Thomas M. Chen, Constantino Carlos Reyes-Aldasoro
This paper introduces ConvShareViT, a novel deep learning architecture that adapts Vision Transformers (ViTs) to the 4f free-space optical system. ConvShareViT replaces linear laye…
FatNet: High Resolution Kernels for Classification Using Fully Convolutional Optical Neural Networks
Riad Ibadulla, Thomas M. Chen, Constantino Carlos Reyes-Aldasoro
This paper describes the transformation of a traditional in-silico classification network into an optical fully convolutional neural network with high-resolution feature maps and k…
Contrastive Counterfactual Visual Explanations With Overdetermination
Adam White, Kwun Ho Ngan, James Phelan +4
A novel explainable AI method called CLEAR Image is introduced in this paper. CLEAR Image is based on the view that a satisfactory explanation should be contrastive, counterfactual…
Detection of Pitt-Hopkins Syndrome based on morphological facial features
Elena D'Amato, Constantino Carlos Reyes-Aldasoro, Maria Felicia Faienza +1
This work describes an automatic methodology to discriminate between individuals with the genetic disorder Pitt-Hopkins syndrome (PTHS), and healthy individuals. As input data, the…
Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-Linear and Deep Learning Models
Nathan J Olliverre, Guang Yang, Gregory Slabaugh +2
Magnetic Resonance Spectroscopy (MRS) provides valuable information to help with the identification and understanding of brain tumors, yet MRS is not a widely available medical ima…