research
∙
03/29/2023
SC-VAE: Sparse Coding-based Variational Autoencoder
Learning rich data representations from unlabeled data is a key challeng...
share
research
∙
10/07/2022
MRI-based classification of IDH mutation and 1p/19q codeletion status of gliomas using a 2.5D hybrid multi-task convolutional neural network
Isocitrate dehydrogenase (IDH) mutation and 1p/19q codeletion status are...
research
∙
10/06/2022
Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-oncology (I3CR-WANO)
Efforts to utilize growing volumes of clinical imaging data to generate ...
research
∙
12/13/2021
The Brain Tumor Sequence Registration Challenge: Establishing Correspondence between Pre-Operative and Follow-up MRI scans of diffuse glioma patients
Registration of longitudinal brain Magnetic Resonance Imaging (MRI) scan...
research
∙
10/10/2021
NormVAE: Normative Modeling on Neuroimaging Data using Variational Autoencoders
Normative modeling is an emerging method for understanding the heterogen...
research
∙
09/08/2021
Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning
Neuroimaging biomarkers that distinguish between typical brain aging and...
research
∙
02/09/2020
The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up
We present the findings of "The Alzheimer's Disease Prediction Of Longit...
research
∙
07/02/2018
