activity
20032022
most citedImproving performance of CNN to predict likelihood of COVID-19 using chest X-ray images with preprocessing algorithms

432 citations · 457 across the 17 of their papers we have counts for

collaborators
Showing 2020Show all

9 papers · 1 filter

physics.optics2020

Terahertz frequency combs exploiting an on-chip solution processed graphene-quantum cascade laser coupled-cavity architecture

F. P. Mezzapesa, K. Garrasi, J. Schmidt +11

The ability to engineer quantum-cascade-lasers (QCLs) with ultrabroad gain spectra and with a full compensation of the group velocity dispersion, at Terahertz (THz) frequencies, is…

cs.SD2020

Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-organized Operational Layer

Mohammad Soltanian, Junaid Malik, Jenni Raitoharju +3

Automatic classification of speech commands has revolutionized human computer interactions in robotic applications. However, employed recognition models usually follow the methodol…

eess.SP2020

Evaluating phase synchronization methods in fMRI: a comparison study and new approaches

Hamed Honari, Ann S. Choe, Martin A. Lindquist

In recent years there has been growing interest in measuring time-varying functional connectivity between different brain regions using resting-state functional magnetic resonance…

cs.CV2020

Applying a random projection algorithm to optimize machine learning model for breast lesion classification

Morteza Heidari, Sivaramakrishnan Lakshmivarahan, Seyedehnafiseh Mirniaharikandehei +4

Machine learning is widely used in developing computer-aided diagnosis (CAD) schemes of medical images. However, CAD usually computes large number of image features from the target…

cs.LG20202 cited

Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images

Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala +2

Background and Objective: Non-invasively predicting the risk of cancer metastasis before surgery plays an essential role in determining optimal treatment methods for cancer patient…

eess.IV2020432 cited

Improving performance of CNN to predict likelihood of COVID-19 using chest X-ray images with preprocessing algorithms

Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani +3

As the rapid spread of coronavirus disease (COVID-19) worldwide, chest X-ray radiography has also been used to detect COVID-19 infected pneumonia and assess its severity or monitor…