Jahmunah Vicnesh

Orcid: 0000-0002-0091-6049

Affiliations:
  • Ngee Ann Polytechnic, Department of Electronics and Computer Engineering, Singapore


According to our database1, Jahmunah Vicnesh authored at least 26 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013-2023).
Comput. Biol. Medicine, October, 2023

EpilepsyNet: Novel automated detection of epilepsy using transformer model with EEG signals from 121 patient population.
Comput. Biol. Medicine, September, 2023

Automated analysis of small intestinal lamina propria to distinguish normal, Celiac Disease, and Non-Celiac Duodenitis biopsy images.
Comput. Methods Programs Biomed., March, 2023

Uncertainty quantification in DenseNet model using myocardial infarction ECG signals.
Comput. Methods Programs Biomed., February, 2023

Automated warfarin dose prediction for Asian, American, and Caucasian populations using a deep neural network.
Comput. Biol. Medicine, February, 2023

2022
Automated classification of attention deficit hyperactivity disorder and conduct disorder using entropy features with ECG signals.
Comput. Biol. Medicine, 2022

Explainable detection of myocardial infarction using deep learning models with Grad-CAM technique on ECG signals.
Comput. Biol. Medicine, 2022

2021
Accurate detection of myocardial infarction using non linear features with ECG signals.
J. Ambient Intell. Humaniz. Comput., 2021

Future IoT tools for COVID-19 contact tracing and prediction: A review of the state-of-the-science.
Int. J. Imaging Syst. Technol., 2021

Automated interpretation of biopsy images for the detection of celiac disease using a machine learning approach.
Comput. Methods Programs Biomed., 2021

Automated detection of conduct disorder and attention deficit hyperactivity disorder using decomposition and nonlinear techniques with EEG signals.
Comput. Methods Programs Biomed., 2021

Automated detection of coronary artery disease, myocardial infarction and congestive heart failure using GaborCNN model with ECG signals.
Comput. Biol. Medicine, 2021

Automated detection of glaucoma using elongated quinary patterns technique with optical coherence tomography angiogram images.
Biomed. Signal Process. Control., 2021

2020
Automated detection of Alzheimer's disease using bi-directional empirical model decomposition.
Pattern Recognit. Lett., 2020

Automated detection of calcified plaque using higher-order spectra cumulant technique in computer tomography angiography images.
Int. J. Imaging Syst. Technol., 2020

Classification of heart sound signals using a novel deep WaveNet model.
Comput. Methods Programs Biomed., 2020

Development of an automated system for the detection of genotype in polypoidal choroidal vasculopathy using retinal image phenotype.
Comput. Methods Programs Biomed., 2020

A computational intelligence tool for the detection of hypertension using empirical mode decomposition.
Comput. Biol. Medicine, 2020

Automated diagnostic tool for hypertension using convolutional neural network.
Comput. Biol. Medicine, 2020

Automated prediction of sepsis using temporal convolutional network.
Comput. Biol. Medicine, 2020

Comprehensive electrocardiographic diagnosis based on deep learning.
Artif. Intell. Medicine, 2020

2019
Automated diagnosis of celiac disease by video capsule endoscopy using DAISY Descriptors.
J. Medical Syst., 2019

Automatic detection of ischemic stroke using higher order spectra features in brain MRI images.
Cogn. Syst. Res., 2019

Automated detection of glaucoma using optical coherence tomography angiogram images.
Comput. Biol. Medicine, 2019

Automated detection of schizophrenia using nonlinear signal processing methods.
Artif. Intell. Medicine, 2019

Automated plaque classification using computed tomography angiography and Gabor transformations.
Artif. Intell. Medicine, 2019


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