research
∙
12/23/2021
Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review
Despite the myriad peer-reviewed papers demonstrating novel Artificial I...
share
research
∙
03/26/2020
Neural encoding and interpretation for high-level visual cortices based on fMRI using image caption features
On basis of functional magnetic resonance imaging (fMRI), researchers ar...
research
∙
03/13/2020
BigGAN-based Bayesian reconstruction of natural images from human brain activity
In the visual decoding domain, visually reconstructing presented images ...
research
∙
10/12/2019
Mitigating the Effect of Dataset Bias on Training Deep Models for Chest X-rays
Deep learning has gained tremendous attention on CAD (Computer-aided Dia...
research
∙
07/27/2019
Effective and efficient ROI-wise visual encoding using an end-to-end CNN regression model and selective optimization
Recently, visual encoding based on functional magnetic resonance imaging...
research
∙
02/23/2019
A visual encoding model based on deep neural networks and transfer learning
Background: Building visual encoding models to accurately predict visual...
research
∙
12/22/2018
Dissociable neural representations of adversarially perturbed images in deep neural networks and the human brain
Despite the remarkable similarities between deep neural networks (DNN) a...
research
∙
01/16/2018
Constraint-free Natural Image Reconstruction from fMRI Signals Based on Convolutional Neural Network
In recent years, research on decoding brain activity based on functional...
research
∙
01/02/2018
