453 citations · 521 across the 6 of their papers we have counts for
6 papers
Covid-19 Detection from Chest X-ray and Patient Metadata using Graph Convolutional Neural Networks
Thosini Bamunu Mudiyanselage, Nipuna Senanayake, Chunyan Ji +2
The novel corona virus (Covid-19) has introduced significant challenges due to its rapid spreading nature through respiratory transmission. As a result, there is a huge demand for…
Graph Convolution Networks Using Message Passing and Multi-Source Similarity Features for Predicting circRNA-Disease Association
Thosini Bamunu Mudiyanselage, Xiujuan Lei, Nipuna Senanayake +2
Graphs can be used to effectively represent complex data structures. Learning these irregular data in graphs is challenging and still suffers from shallow learning. Applying deep l…
Understanding 3D CNN Behavior for Alzheimer's Disease Diagnosis from Brain PET Scan
Jyoti Islam, Yanqing Zhang
In recent days, Convolutional Neural Networks (CNN) have demonstrated impressive performance in medical image analysis. However, there is a lack of clear understanding of why and h…
An Ensemble of Deep Convolutional Neural Networks for Alzheimer's Disease Detection and Classification
Jyoti Islam, Yanqing Zhang
Alzheimer's Disease destroys brain cells causing people to lose their memory, mental functions and ability to continue daily activities. It is a severe neurological brain disorder…
Interval Neutrosophic Sets and Logic: Theory and Applications in Computing
Haibin Wang, Florentin Smarandache, Yan-Qing Zhang +1
This book presents the advancements and applications of neutrosophics. Chapter 1 first introduces the interval neutrosophic sets which is an instance of neutrosophic sets. In this…
Interval Neutrosophic Sets
Haibin Wang, Praveen Madiraju, Yanqing Zhang +1
Neutrosophic set is a part of neutrosophy which studies the origin, nature, and scope of neutralities, as well as their interactions with different ideational spectra. Neutrosophic…