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M. Murugappan
ORCID
Publication Activity (10 Years)
Years Active: 2009-2024
Publications (10 Years): 14
Top Topics
Breast Ultrasound
Deep Learning
Neural Network
Fourier Transform
Top Venues
Biomed. Signal Process. Control.
Neural Comput. Appl.
Expert Syst. J. Knowl. Eng.
Int. J. Medical Eng. Informatics
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Publications
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Rusab Sarmun
,
Muhammad E. H. Chowdhury
,
M. Murugappan
,
Ahmed Aqel
,
Maymouna Ezzuddin
,
Syed Mahfuzur Rahman
,
Amith Khandakar
,
Sanzida Akter
,
Rashad Alfkey
,
Anwarul Hasan
Diabetic Foot Ulcer Detection: Combining Deep Learning Models for Improved Localization.
Cogn. Comput.
16 (3) (2024)
Moajjem Hossain Chowdhury
,
Muhammad E. H. Chowdhury
,
Mamun Bin Ibne Reaz
,
Sawal Hamid Md. Ali
,
Seyed Mehdi Rakhtala
,
M. Murugappan
,
Sakib Mahmud
,
Md Nazmul Islam Shuzan
,
Ahmad Ashrif A. Bakar
,
Mohd Ibrahim Bin Shapiai
,
Muhammad Salman Khan
,
Amith Khandakar
LGI-rPPG-Net: A shallow encoder-decoder model for rPPG signal estimation from facial video streams.
Biomed. Signal Process. Control.
89 (2024)
G. R. Hemalakshmi
,
M. Murugappan
,
Mohamed Yacin Sikkandar
,
S. Sabarunisha Begum
,
N. B. Prakash
Automated retinal disease classification using hybrid transformer model (SViT) using optical coherence tomography images.
Neural Comput. Appl.
36 (16) (2024)
Annika Stier
,
Alberto Bottino
,
M. Boesl
,
Martin Campos Pinto
,
Thomas Hayward-Schneider
,
David Coster
,
A. Bergmann
,
M. Murugappan
,
Stephan Brunner
,
Laurent Villard
,
Frank Jenko
Verification of the Fourier-enhanced 3D finite element Poisson solver of the gyrokinetic full-f code PICLS.
Comput. Phys. Commun.
299 (2024)
Md. Faysal Ahamed
,
Md. Rabiul Islam
,
Md. Nahiduzzaman
,
Muhammad E. H. Chowdhury
,
Abdulrahman Alqahtani
,
M. Murugappan
Automated Colorectal Polyps Detection from Endoscopic Images using MultiResUNet Framework with Attention Guided Segmentation.
Hum. Centric Intell. Syst.
4 (2) (2024)
Parikha Chawla
,
Shashi B. Rana
,
Hardeep Kaur
,
Kuldeep Singh
,
Yuvaraj Rajamanickam
,
M. Murugappan
A decision support system for automated diagnosis of Parkinson's disease from EEG using FAWT and entropy features.
Biomed. Signal Process. Control.
79 (Part) (2023)
M. Murugappan
,
Ali K. Bourisly
,
N. B. Prakash
,
M. G. Sumithra
,
U. Rajendra Acharya
Automated semantic lung segmentation in chest CT images using deep neural network.
Neural Comput. Appl.
35 (21) (2023)
B. Deepa
,
M. Murugappan
,
M. G. Sumithra
,
Mufti Mahmud
,
Mabrook S. Al-Rakhami
Pattern Descriptors Orientation and MAP Firefly Algorithm Based Brain Pathology Classification Using Hybridized Machine Learning Algorithm.
IEEE Access
10 (2022)
Muhammad Najam Dar
,
Muhammad Usman Akram
,
Yuvaraj Rajamanickam
,
Sajid Gul Khawaja
,
M. Murugappan
EEG-based emotion charting for Parkinson's disease patients using Convolutional Recurrent Neural Networks and cross dataset learning.
Comput. Biol. Medicine
144 (2022)
Sakib Mahmud
,
Amith Khandakar
,
Muhammad Enamul Hoque Chowdhury
,
Mohammed AbdulMoniem
,
Mamun Bin Ibne Reaz
,
Zaid Bin Mahbub
,
Kishor Kumar Sadasivuni
,
M. Murugappan
,
Mohammed Alhatou
Design, Implementation, and Performance Evaluation of a Fiber Bragg Gratings(FBG) based Smart Insole to Measure Plantar Pressure and Temperature.
CoRR
(2022)
Chandran Venkatesan
,
M. G. Sumithra
,
M. Murugappan
NFU-Net: An Automated Framework for the Detection of Neurotrophic Foot Ulcer Using Deep Convolutional Neural Network.
Neural Process. Lett.
54 (5) (2022)
Shu Lih Oh
,
Yuki Hagiwara
,
U. Raghavendra
,
Yuvaraj Rajamanickam
,
Arunkumar N.
,
M. Murugappan
,
U. Rajendra Acharya
A deep learning approach for Parkinson's disease diagnosis from EEG signals.
Neural Comput. Appl.
32 (15) (2020)
Zhemin Zhuang
,
Alex Noel Joseph Raj
,
Atyant Jain
,
Ruban Nersisson
,
Saksham Chaurasia
,
Nan Li
,
M. Lakshmanan
,
M. Murugappan
Nipple Segmentation and Localization Using Modified U-Net on Breast Ultrasound Images.
J. Medical Imaging Health Informatics
9 (9) (2019)
Siao Zheng Bong
,
Wan Khairunizam
,
M. Murugappan
,
Norlinah Mohamed Ibrahim
,
Yuvaraj Rajamanickam
,
Khairiyah Mohamad
Implementation of wavelet packet transform and non linear analysis for emotion classification in stroke patient using brain signals.
Biomed. Signal Process. Control.
36 (2017)
Arun Sahayadhas
,
Kenneth Sundaraj
,
M. Murugappan
,
Rajkumar Palaniappan
Physiological signal based detection of driver hypovigilance using higher order spectra.
Expert Syst. Appl.
42 (22) (2015)
Bukhari Ilias
,
R. Nagarajan
,
M. Murugappan
,
Khaled Helmy
,
Awang Sabri Awang Omar
,
Muhammad Asyraf Abdul Rahman
Hospital nurse following robot: hardware development and sensor integration.
Int. J. Medical Eng. Informatics
6 (1) (2014)
S. Jerritta
,
M. Murugappan
,
Wan Khairunizam
,
Sazali Yaacob
Electrocardiogram-based emotion recognition system using empirical mode decomposition and discrete Fourier transform.
Expert Syst. J. Knowl. Eng.
31 (2) (2014)
Yuvaraj Rajamanickam
,
M. Murugappan
,
Norlinah Mohamed Ibrahim
,
Kenneth Sundaraj
,
Mohd Omar
,
Khairiyah Mohamad
,
Rajkumar Palaniappan
Detection of emotions in Parkinson's disease using higher order spectral features from brain's electrical activity.
Biomed. Signal Process. Control.
14 (2014)
Mousa Kathim Wali
,
M. Murugappan
,
R. Badlishah Ahmmad
Development of EEG data acquisition device by using single board computer.
Int. J. Medical Eng. Informatics
5 (3) (2013)
Siao Zheng Bong
,
M. Murugappan
,
Sazali Yaacob
Methods and approaches on inferring human emotional stress changes through physiological signals: a review.
Int. J. Medical Eng. Informatics
5 (2) (2013)
S. Jerritta
,
M. Murugappan
,
Wan Khairunizam
,
Sazali Yaacob
Emotion Detection from QRS Complex of ECG Signals Using Hurst Exponent for Different Age Groups.
ACII
(2013)
Arun Sahayadhas
,
Kenneth Sundaraj
,
M. Murugappan
Detecting Driver Drowsiness Based on Sensors: A Review.
Sensors
12 (12) (2012)
P. Karthikeyan
,
M. Murugappan
,
Sazali Yaacob
ECG signals based mental stress assessment using wavelet transform.
ICCSCE
(2011)
M. Murugappan
,
Mohd Rizon Bin Mohammed Juhari
,
Nagarajan Ramachandran
,
Sazali Yaacob
An investigation on visual and audiovisual stimulus based emotion recognition using EEG.
Int. J. Medical Eng. Informatics
1 (3) (2009)