research
∙
11/26/2022
Deep neuroevolution to predict primary brain tumor grade from functional MRI adjacency matrices
Whereas MRI produces anatomic information about the brain, functional MR...
share
research
∙
11/26/2022
Deep neuroevolution for limited, heterogeneous data: proof-of-concept application to Neuroblastoma brain metastasis using a small virtual pooled image collection
Artificial intelligence (AI) in radiology has made great strides in rece...
research
∙
06/17/2022
Deep reinforcement learning for fMRI prediction of Autism Spectrum Disorder
Purpose : Because functional MRI (fMRI) data sets are in general small, ...
research
∙
03/24/2022
Direct evaluation of progression or regression of disease burden in brain metastatic disease with Deep Neuroevolution
Purpose: A core component of advancing cancer treatment research is asse...
research
∙
12/24/2021
Deep Neuroevolution Squeezes More out of Small Neural Networks and Small Training Sets: Sample Application to MRI Brain Sequence Classification
Purpose: Deep Neuroevolution (DNE) holds the promise of providing radiol...
research
∙
08/16/2021
Efficient Feature Representations for Cricket Data Analysis using Deep Learning based Multi-Modal Fusion Model
Data analysis has become a necessity in the modern era of cricket. Every...
research
∙
06/17/2021
Deep reinforcement learning with automated label extraction from clinical reports accurately classifies 3D MRI brain volumes
Purpose: Image classification is perhaps the most fundamental task in im...
research
∙
02/16/2021
Deep Neural Network Based Differential Equation Solver for HIV Enzyme Kinetics
Purpose: We seek to use neural networks (NNs) to solve a well-known syst...
research
∙
02/04/2021
Deep reinforcement learning-based image classification achieves perfect testing set accuracy for MRI brain tumors with a training set of only 30 images
Purpose: Image classification may be the fundamental task in imaging art...
research
∙
12/24/2020
Unsupervised deep clustering and reinforcement learning can accurately segment MRI brain tumors with very small training sets
Purpose: Lesion segmentation in medical imaging is key to evaluating tre...
research
∙
12/09/2020
EMRs with Blockchain : A distributed democratised Electronic Medical Record sharing platform
Medical data sharing needs to be done with the utmost respect for privac...
research
∙
11/30/2020
Multi-Modal Detection of Alzheimer's Disease from Speech and Text
Reliable detection of the prodromal stages of Alzheimer's disease (AD) r...
research
∙
11/30/2020
Depression Status Estimation by Deep Learning based Hybrid Multi-Modal Fusion Model
Preliminary detection of mild depression could immensely help in effecti...
research
∙
11/29/2020
A smartphone based multi input workflow for non-invasive estimation of haemoglobin levels using machine learning techniques
We suggest a low cost, non invasive healthcare system that measures haem...
research
∙
11/29/2020
A Novel Sentiment Analysis Engine for Preliminary Depression Status Estimation on Social Media
Text sentiment analysis for preliminary depression status estimation of ...
research
∙
10/21/2020
Reinforcement learning using Deep Q Networks and Q learning accurately localizes brain tumors on MRI with very small training sets
Purpose Supervised deep learning in radiology suffers from notorious inh...
research
∙
08/19/2020
A Data-Efficient Deep Learning Based Smartphone Application For Detection Of Pulmonary Diseases Using Chest X-rays
This paper introduces a paradigm of smartphone application based disease...
research
∙
08/06/2020
