research
∙
03/16/2023
All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy Reduction
Nearest neighbour based methods have proved to be one of the most succes...
share
research
∙
03/16/2023
ELFIS: Expert Learning for Fine-grained Image Recognition Using Subsets
Fine-Grained Visual Recognition (FGVR) tackles the problem of distinguis...
research
∙
07/05/2022
Is a PET all you need? A multi-modal study for Alzheimer's disease using 3D CNNs
Alzheimer's Disease (AD) is the most common form of dementia and often d...
research
∙
07/05/2022
CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis
Modeling temporal changes in subcortical structures is crucial for a bet...
research
∙
09/01/2021
TransforMesh: A Transformer Network for Longitudinal modeling of Anatomical Meshes
The longitudinal modeling of neuroanatomical changes related to Alzheime...
research
∙
04/20/2021
Geometric Deep Learning on Anatomical Meshes for the Prediction of Alzheimer's Disease
Geometric deep learning can find representations that are optimal for a ...
research
∙
11/25/2020
Recalibration of Neural Networks for Point Cloud Analysis
Spatial and channel re-calibration have become powerful concepts in comp...
research
∙
10/02/2020
Discriminative and Generative Models for Anatomical Shape Analysison Point Clouds with Deep Neural Networks
We introduce deep neural networks for the analysis of anatomical shapes ...
research
∙
02/25/2020
Recalibrating 3D ConvNets with Project Excite
Fully Convolutional Neural Networks (F-CNNs) achieve state-of-the-art pe...
research
∙
09/09/2019
A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data
We introduce a wide and deep neural network for prediction of progressio...
research
∙
06/11/2019